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Plants, Volume 9, Issue 11 (November 2020) – 222 articles

Cover Story (view full-size image): Flower dimorphism is known in many angiosperms. Differences between male and female flowers can appear due to ab initio different flower ground plans in the two flower types or because of different patterns of late development. We studied flower development in three species of Eriocaulon (Eriocaulaceae, Poales) to understand whether organ number and arrangement are stable in E. redactum, a species with corolla reportedly missing in female flowers. Early flower development is similar in all three species. Male and female flowers are indistinguishable in the early stages. Despite earlier reports, both floral types uniformly possess three congenitally united sepals and three petals in E. redactum. Scanning electron microscopy should be used in taxonomic accounts of Eriocaulon to assess organ number and arrangement. View this paper
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18 pages, 1460 KiB  
Article
Effects of Different Processing Treatments on Almond (Prunus dulcis) Bioactive Compounds, Antioxidant Activities, Fatty Acids, and Sensorial Characteristics
by Ivo Oliveira, Anne S. Meyer, Sílvia Afonso, Alex Sequeira, Alice Vilela, Piebiep Goufo, Henrique Trindade and Berta Gonçalves
Plants 2020, 9(11), 1627; https://doi.org/10.3390/plants9111627 - 23 Nov 2020
Cited by 33 | Viewed by 4672
Abstract
Almond is one of the most commonly consumed nuts worldwide, with health benefits associated with availability of bioactive compounds and fatty acids. Almond is often eaten raw or after some processing steps. However, the latter can positively or negatively influence chemical and sensorial [...] Read more.
Almond is one of the most commonly consumed nuts worldwide, with health benefits associated with availability of bioactive compounds and fatty acids. Almond is often eaten raw or after some processing steps. However, the latter can positively or negatively influence chemical and sensorial attributes of almonds. This work was carried out to assess the effects of two processing treatments, namely; roasting and blanching on (i) contents of bioactive compounds, (ii) contents of fatty acids (3) antioxidant activities (4), sensorial characteristics of four neglected Portuguese almond cultivars (Casanova, Molar, Pegarinhos and Refêgo) and two foreign cultivars (Ferragnès and Glorieta). Results showed that in general, levels of bioactive compounds and antioxidant activities increased with roasting and decreased with blanching. Fatty acid profiles of raw kernels of all cultivars were generally identical although Refêgo exhibited a high content of α-linolenic acid. Following roasting and blanching, content of polyunsaturated fatty acids increased while saturated fatty acids, monounsaturated fatty acids and several health lipid indices decreased. Roasting positively affected perception of skin color and sweetness of Ferragnès and Glorieta as well as skin roughness of Molar and Pegarinhos. Blanching on the other hand led to positive changes in textural properties of Refêgo and Pegarinhos. This study reveals the nutritive benefits of consuming neglected almond cultivars in Portugal, and the novel data reported here could be of interest to growers, processing companies and consumers. Full article
(This article belongs to the Special Issue Quality Evaluation of Plant-Derived Foods)
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Graphical abstract

Graphical abstract
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<p>Spider plot of the sensory profile of raw (<b>A</b>), roasted (<b>B</b>) and blanched (<b>C</b>) almond kernles. Asterisks (*) indicate represent significant differences among cultivars <span class="html-italic">p</span>  &lt;  0.05, ANOVA Tukey’s test.</p>
Full article ">Figure 2
<p>Principal component analysis of bioactive compounds, antioxidant activities and fatty acids data from raw, roasted and blanched almond kernels: scores plot of the first and second principal components (<b>a</b>) showing the clustering of cultivars and treatments; loadings plot (<b>b</b>) reflecting the influence of parameters on the separation of samples.</p>
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19 pages, 5609 KiB  
Article
Effect of Salinity Stress on Growth and Metabolomic Profiling of Cucumis sativus and Solanum lycopersicum
by Ibrahim Bayoumi Abdel-Farid, Marwa Radawy Marghany, Mohamed Mahmoud Rowezek and Mohamed Gabr Sheded
Plants 2020, 9(11), 1626; https://doi.org/10.3390/plants9111626 - 23 Nov 2020
Cited by 76 | Viewed by 7391
Abstract
Seeds germination and seedlings growth of Cucumis sativus and Solanum lycopersicum were monitored in in vitro and in vivo experiments after application of different concentrations of NaCl (25, 50, 100 and 200 mM). Photosynthetic pigments content and the biochemical responses of C. sativus [...] Read more.
Seeds germination and seedlings growth of Cucumis sativus and Solanum lycopersicum were monitored in in vitro and in vivo experiments after application of different concentrations of NaCl (25, 50, 100 and 200 mM). Photosynthetic pigments content and the biochemical responses of C. sativus and S. lycopersicum were assessed. Salinity stress slightly delayed the seeds germination rate and significantly reduced the percentage of germination as well as shoot length under the highest salt concentration (200 mM) in cucumber. Furthermore, root length was decreased significantly in all treatments. Whereas, in tomato, a prominent delay in seeds germination rate, the germination percentage and seedlings growth (shoot and root lengths) were significantly influenced under all concentrations of NaCl. Fresh and dry weights were reduced prominently in tomato compared to cucumber. Photosynthetic pigments content was reduced but with pronounced decreasing in tomato compared to cucumber. Secondary metabolites profiling in both plants under stress was varied from tomato to cucumber. The content of saponins, proline and total antioxidant capacity was reduced more prominently in tomato as compared to cucumber. On the other hand, the content of phenolics and flavonoids was increased in both plants with pronounced increase in tomato particularly under the highest level of salinity stress. The metabolomic profiling in stressful plants was significantly influenced by salinity stress and some bioactive secondary metabolites was enhanced in both cucumber and tomato plants. The enhancement of secondary metabolites under salinity stress may explain the tolerance and sensitivity of cucumber and tomato under salinity stress. The metabolomic evaluation combined with multivariate data analysis revealed a similar mechanism of action of plants to mediate stress, with variant level of this response in both plant species. Based on these results, the effect of salinity stress on seeds germination, seedlings growth and metabolomic content of plants was discussed in terms of tolerance and sensitivity of plants to salinity stress. Full article
(This article belongs to the Special Issue Effects of Abiotic Stress on Plants 2020–2021)
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Figure 1

Figure 1
<p>Effect of salinity stress on germination rate in cucumber (<b>A</b>) and tomato (<b>B</b>).</p>
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<p>Effect of salinity stress on the percentage of seeds germination in cucumber (<b>A</b>) and in tomato (<b>B</b>). ** = highly significant and *** = very highly significant.</p>
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<p>Effect of salinity stress on shoot length in cucumber (<b>A</b>) and in tomato (<b>B</b>)and on root length in cucumber (<b>C</b>) and in tomato (<b>D</b>). *** = very highly significant.</p>
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<p>Effect of salinity stress on fresh weight in cucumber (<b>A</b>) and in tomato (<b>B</b>) and on dry weights of cucumber (<b>C</b>) and tomato (<b>D</b>).</p>
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<p>Flavonoids content of cucumber and tomato under NaCl stress.</p>
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<p>Phenolics content of cucumber and tomato under NaCl stress.</p>
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<p>Saponin content in cucumber and tomato under NaCl stress.</p>
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<p>Total antioxidant capacity in cucumber and tomato under NaCl stress.</p>
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<p>Proline content in cucumber and tomato under salinity stress.</p>
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<p>Photosynthetic pigment content in cucumber and tomato under salinity stress. Total chlorophyll a (<b>A</b>) and chlorophyll b (<b>B</b>).</p>
Full article ">Figure 10 Cont.
<p>Photosynthetic pigment content in cucumber and tomato under salinity stress. Total chlorophyll a (<b>A</b>) and chlorophyll b (<b>B</b>).</p>
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<p>Principal component analysis (PCA) of tomato data under salinity stress. Score scatter plot of PC1 vs. PC2 (<b>A</b>), score loading plot of PC1 vs. PC2 (<b>B</b>) and score biplot(<b>C</b>). 1 = control, 2 = 25 mM, 3 = 50 mM, 4 = 100 mM and 5 = 200 mM of NaCl.</p>
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11 pages, 2265 KiB  
Article
Epipactis tremolsii Seed Diversity in Two Close but Extremely Different Populations: Just a Case of Intraspecific Variability?
by Antonio De Agostini, Pierluigi Cortis, Annalena Cogoni, Roberta Gargiulo and Giuseppe Fenu
Plants 2020, 9(11), 1625; https://doi.org/10.3390/plants9111625 - 23 Nov 2020
Cited by 2 | Viewed by 2061
Abstract
Analysis of the seed morphology is a widely used approach in ecological and taxonomic studies. In this context, intraspecific variability with respect to seed morphology (size, weight, and density) was assessed in two close Epipactis tremolsii Pau. populations sharing the same ecological conditions, [...] Read more.
Analysis of the seed morphology is a widely used approach in ecological and taxonomic studies. In this context, intraspecific variability with respect to seed morphology (size, weight, and density) was assessed in two close Epipactis tremolsii Pau. populations sharing the same ecological conditions, except for the soil pollution distinguishing one of them. Larger and heavier seeds were found in plants growing on the heavy metal polluted site, while no differences in seed density were detected between seeds produced by plants growing on the contaminated and the control site. Moreover, seed coats and embryos varying together in their dimensions were described in the control population, while coats varying in their size independently from embryos were described in plants growing on the polluted site. Seeds from the two studied populations significantly differed in several parameters suggesting that intraspecific seed variability occurred in the case study. Full article
(This article belongs to the Special Issue Plant Functional Traits from an Intraspecific Variability Perspective)
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Figure 1
<p>Boxplots describing differences between the number of seeds fitting in the fixed volume of 0.05 mm<sup>3</sup> (<b>a</b>) and between the single-seed weight (<b>b</b>) in relation to the two different populations (PPS indicating plants growing on the polluted site; PCS indicating plants growing on the control site). Statistical significance of differences by <span class="html-italic">t</span>-test is reported by asterisks as follows: * = <span class="html-italic">p</span>-value &lt; 0.05; ** = <span class="html-italic">p</span>-value &lt; 0.01; *** = <span class="html-italic">p</span>-value &lt; 0.001; **** = <span class="html-italic">p</span>-value &lt; 0.0001; ns = non-significant.</p>
Full article ">Figure 2
<p>Boxplots describing differences between coat (<b>a</b>) and embryo (<b>b</b>) areas in relation to the two different populations (PPS indicating plants growing on the polluted site; PCS indicating plants growing on the control site). Statistical significance of differences (<span class="html-italic">t</span>-test) is reported by asterisks as follows: * = <span class="html-italic">p</span>-value &lt; 0.05; ** = <span class="html-italic">p</span>-value &lt; 0.01; *** = <span class="html-italic">p</span>-value &lt; 0.001; **** = <span class="html-italic">p</span>-value &lt; 0.0001; ns = non-significant.</p>
Full article ">Figure 3
<p>Correlation matrices describing the correlation between variables measured in PPS (<b>a</b>) and PCS (<b>b</b>), respectively (PPS indicating plants growing on the polluted site; PCS indicating plants growing on the control site). The diagonal shows the variable names, the lower half of the panel reports scatterplots between pairs of variables; the higher portion of the panel shows correlation values and their significance levels reported as asterisks. The significance of the correlations is reported by asterisks as follows: * = <span class="html-italic">p</span>-value &lt; 0.05; ** = <span class="html-italic">p</span>-value &lt; 0.01; *** = <span class="html-italic">p</span>-value &lt; 0.001; = <span class="html-italic">p</span>-value &lt; 0.1; (correlations not significant are not marked).</p>
Full article ">Figure 3 Cont.
<p>Correlation matrices describing the correlation between variables measured in PPS (<b>a</b>) and PCS (<b>b</b>), respectively (PPS indicating plants growing on the polluted site; PCS indicating plants growing on the control site). The diagonal shows the variable names, the lower half of the panel reports scatterplots between pairs of variables; the higher portion of the panel shows correlation values and their significance levels reported as asterisks. The significance of the correlations is reported by asterisks as follows: * = <span class="html-italic">p</span>-value &lt; 0.05; ** = <span class="html-italic">p</span>-value &lt; 0.01; *** = <span class="html-italic">p</span>-value &lt; 0.001; = <span class="html-italic">p</span>-value &lt; 0.1; (correlations not significant are not marked).</p>
Full article ">Figure 4
<p>Seeds of <span class="html-italic">E. tremolsii</span> collected from PPS and PCS (<b>A</b> and <b>B,</b> respectively), magnified ≈ 70 times. The axes show the measurements carried out on seeds: a, coat length; b, coat width; a’, embryo length; b’, embryo width (areas were automatically calculated by the measurement software on the basis of the manually-selected perimeter of the structure).</p>
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18 pages, 4272 KiB  
Article
Advancements in Low-Chill Blueberry Vaccinium corymbosum L. Tissue Culture Practices
by Francesco Cappai, Alexandria Garcia, Ryan Cullen, Matthew Davis and Patricio R. Munoz
Plants 2020, 9(11), 1624; https://doi.org/10.3390/plants9111624 - 23 Nov 2020
Cited by 10 | Viewed by 6053
Abstract
The demand for blueberry Vaccinium corymbosum L. (and hybrids) plants has significantly increased in the last 30 years due to its market expansion. In vitro propagation of sterile plants are required for commercial purposes but also for research applications such as plant transformation. [...] Read more.
The demand for blueberry Vaccinium corymbosum L. (and hybrids) plants has significantly increased in the last 30 years due to its market expansion. In vitro propagation of sterile plants are required for commercial purposes but also for research applications such as plant transformation. Thus far, tissue culture characteristics of the tropical-adapted blueberry have been scarcely studied. In this study we present the following findings: (i) zeatin, a hormone used to promote plant growth, should be used in the 1–2 mg/L range to promote plant architecture optimal for transformation experiments; (ii) red-blue LED lights induce more production of meristems and biomass than white LED or fluorescent lights; (iii) levels as high as 1000 mg/L of decontamination agents (the antibiotics timentin and cefotaxime) can be used to eliminate Agrobacterium overgrowth without inhibiting plant growth during plant transformation experiments; (iv) kanamycin, paromomycin, and geneticin, which are widely used antibiotics to select transgene-carrying transformants, cannot be efficiently used in this system; (v) glufosinate, a widely used herbicide, shows potential to be used as an effective selectable marker for transformed plants. Full article
(This article belongs to the Special Issue Plant Tissue Culture)
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Figure 1
<p>Example of different low chill highbush blueberry plant architectures after 8 weeks in tissue culture. (<b>A</b>) an architecture characterized by numerous meristems and small leaves from the cultivar “Legacy” grown on stock culture media containing 4 mg of zeatin and under RB LED lights. (<b>B</b>) an architecture characterized by a single shoot and large leaves from the cultivar “FL11-35” grown on stock culture media containing 1 mg of zeatin and under fluorescent white lights.</p>
Full article ">Figure 2
<p>Box plot distribution of the effect of zeatin concentration on (<b>A</b>) leaf proliferation and (<b>B</b>) meristem proliferation in blueberry genotypes “Farthing” (left panels) and “Legacy” (right panels) grown in tissue culture. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 3
<p>Box plot distribution of the effect of calcium nitrate concentration on leaf proliferation of blueberry genotypes “Farthing” (<b>left</b> panel) and “Legacy” (<b>right</b> panel) grown in tissue culture. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 4
<p>Box plot distribution of the effect of Red-Blue LED (RBLED), White Fluorescent (WF) and White LED (WLED) light sources on (<b>A</b>) shoot proliferation; (<b>B</b>) total fresh weight of callus and stems; (<b>C</b>) fresh weight of stems only; (<b>D</b>) dry weight of calli and stems; (<b>E</b>) dry weight of stems only. These experiments were carried out using the southern highbush blueberry cultivar “Farthing” grown for 100 days in stock culture media. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 4 Cont.
<p>Box plot distribution of the effect of Red-Blue LED (RBLED), White Fluorescent (WF) and White LED (WLED) light sources on (<b>A</b>) shoot proliferation; (<b>B</b>) total fresh weight of callus and stems; (<b>C</b>) fresh weight of stems only; (<b>D</b>) dry weight of calli and stems; (<b>E</b>) dry weight of stems only. These experiments were carried out using the southern highbush blueberry cultivar “Farthing” grown for 100 days in stock culture media. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 4 Cont.
<p>Box plot distribution of the effect of Red-Blue LED (RBLED), White Fluorescent (WF) and White LED (WLED) light sources on (<b>A</b>) shoot proliferation; (<b>B</b>) total fresh weight of callus and stems; (<b>C</b>) fresh weight of stems only; (<b>D</b>) dry weight of calli and stems; (<b>E</b>) dry weight of stems only. These experiments were carried out using the southern highbush blueberry cultivar “Farthing” grown for 100 days in stock culture media. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 5
<p>Box plot distribution of the effect of decontamination agents (<b>A</b>) timentin and (<b>B</b>) cefotaxime on leaf proliferation of blueberry genotypes “Farthing” (left panels) and “Legacy” (right panels) grown in tissue culture. Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 6
<p>Box plot distribution of the effect of the selectable antibiotic marker kanamycin on leaf proliferation of two blueberry genotypes grown in tissue culture, “Farthing” (<b>left</b> panels) and “Legacy” (<b>right</b> panels). Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 7
<p>Box plot distribution of the effect of the selectable antibiotic markers paromomycin on leaf proliferation of two blueberry genotypes grown in tissue culture, “Farthing” (<b>left</b> panels) and “Legacy” (<b>right</b> panels). Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 8
<p>Box plot distribution of the effect of the herbicide glufosinate on leaf proliferation of blueberry genotypes “Colossus” (<b>left</b> panel) and “Legacy” (<b>right</b> panel). Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">Figure 9
<p>Box plot distribution of the effect of the herbicide glufosinate on leaf proliferation of blueberry genotypes “Colossus” (<b>left</b> panel) and “Legacy” (<b>right</b> panel). Letters above boxplots indicate multiple comparison test. Treatments with the same letters are not statistically different at alpha = 0.05.</p>
Full article ">
17 pages, 2292 KiB  
Article
Functional Attributes and Anticancer Potentialities of Chico (Pachycereus Weberi) and Jiotilla (Escontria Chiotilla) Fruits Extract
by Luisaldo Sandate-Flores, Eduardo Romero-Esquivel, José Rodríguez-Rodríguez, Magdalena Rostro-Alanis, Elda M. Melchor-Martínez, Carlos Castillo-Zacarías, Patricia Reyna Ontiveros, Marcos Fredy Morales Celaya, Wei-Ning Chen, Hafiz M. N. Iqbal and Roberto Parra-Saldívar
Plants 2020, 9(11), 1623; https://doi.org/10.3390/plants9111623 - 22 Nov 2020
Cited by 12 | Viewed by 4810
Abstract
Mexico has a great diversity of cacti, however, many of their fruits have not been studied in greater depth. Several bioactive compounds available in cacti juices extract have demonstrated nutraceutical properties. Two cactus species are interesting for their biologically active pigments, which are [...] Read more.
Mexico has a great diversity of cacti, however, many of their fruits have not been studied in greater depth. Several bioactive compounds available in cacti juices extract have demonstrated nutraceutical properties. Two cactus species are interesting for their biologically active pigments, which are chico (Pachycereus weberi (J. M. Coult.) Backeb)) and jiotilla (Escontria chiotilla (Weber) Rose)). Hence, the goal of this work was to evaluate the bioactive compounds, i.e., betalains, total phenolic, vitamin C, antioxidant, and mineral content in the extract of the above-mentioned P. weberi and E. chiotilla. Then, clarified extracts were evaluated for their antioxidant activity and cytotoxicity (cancer cell lines) potentialities. Based on the obtained results, Chico fruit extract was found to be a good source of vitamin C (27.19 ± 1.95 mg L-Ascorbic acid/100 g fresh sample). Moreover, chico extract resulted in a high concentration of micronutrients, i.e., potassium (517.75 ± 16.78 mg/100 g) and zinc (2.46 ± 0.65 mg/100 g). On the other hand, Jiotilla has a high content of biologically active pigment, i.e., betaxanthins (4.17 ± 0.35 mg/g dry sample). The antioxidant activities of clarified extracts of chico and jiotilla were 80.01 ± 5.10 and 280.88 ± 7.62 mg/100 g fresh sample (DPPH method), respectively. From the cytotoxicity perspective against cancer cell lines, i.e., CaCo-2, MCF-7, HepG2, and PC-3, the clarified extracts of chico showed cytotoxicity (%cell viability) in CaCo-2 (49.7 ± 0.01%) and MCF-7 (45.56 ± 0.05%). A normal fibroblast cell line (NIH/3T3) was used, as a control, for comparison purposes. While jiotilla extract had cytotoxicity against HepG2 (47.31 ± 0.03%) and PC-3 (53.65 ± 0.04%). These results demonstrated that Chico and jiotilla are excellent resources of biologically active constituents with nutraceuticals potentialities. Full article
(This article belongs to the Special Issue Structural and Functional Analysis of Extracts in Plants)
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Figure 1
<p>(<b>A</b>) <span class="html-italic">Pachycereus weberi</span> plant and (<b>B</b>) <span class="html-italic">P. weberi</span> fruit without prickles (top) with prickles (bottom).</p>
Full article ">Figure 2
<p>(<b>A</b>) <span class="html-italic">Escontria chiotilla</span> plant, (<b>B</b>) <span class="html-italic">E. chiotilla</span> flower, and (<b>C</b>) <span class="html-italic">E. chiotilla</span> fruit.</p>
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<p>Effect of clarified juices extracts of chico fruit (white) and jiotilla (black) at 2% on the cell viability. The error bars are standard deviations.</p>
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<p>Dilution of clarified juice extract.</p>
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31 pages, 2689 KiB  
Review
Opportunities and Challenges in Studies of Host-Pathogen Interactions and Management of Verticillium dahliae in Tomatoes
by Bhupendra Acharya, Thomas W. Ingram, YeonYee Oh, Tika B. Adhikari, Ralph A. Dean and Frank J. Louws
Plants 2020, 9(11), 1622; https://doi.org/10.3390/plants9111622 - 22 Nov 2020
Cited by 30 | Viewed by 6446
Abstract
Tomatoes (Solanum lycopersicum L.) are a valuable horticultural crop that are grown and consumed worldwide. Optimal production is hindered by several factors, among which Verticillium dahliae, the cause of Verticillium wilt, is considered a major biological constraint in temperate production regions. [...] Read more.
Tomatoes (Solanum lycopersicum L.) are a valuable horticultural crop that are grown and consumed worldwide. Optimal production is hindered by several factors, among which Verticillium dahliae, the cause of Verticillium wilt, is considered a major biological constraint in temperate production regions. V. dahliae is difficult to mitigate because it is a vascular pathogen, has a broad host range and worldwide distribution, and can persist in soil for years. Understanding pathogen virulence and genetic diversity, host resistance, and plant-pathogen interactions could ultimately inform the development of integrated strategies to manage the disease. In recent years, considerable research has focused on providing new insights into these processes, as well as the development and integration of environment-friendly management approaches. Here, we discuss the current knowledge on the race and population structure of V. dahliae, including pathogenicity factors, host genes, proteins, enzymes involved in defense, and the emergent management strategies and future research directions for managing Verticillium wilt in tomatoes. Full article
(This article belongs to the Special Issue Management of Verticillium Wilt Disease)
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Figure 1
<p>Tomato production by region (<b>A</b>) and top 10 tomato-producing countries in the world in 2018 (<b>B</b>). Adapted and modified from [<a href="#B1-plants-09-01622" class="html-bibr">1</a>]</p>
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<p>Worldwide distribution of <span class="html-italic">Verticillium dahliae</span>. Circles represent the locations (states and provinces) where <span class="html-italic">V. dahliae</span> has been reported. Adapted from [<a href="#B16-plants-09-01622" class="html-bibr">16</a>].</p>
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<p>A proposed schematic illustration of the plant microbiome impact on <span class="html-italic">Verticillium dahliae</span> protection, and crop productivity, and crop yield. Generation concepts and mechanisms of defense, and novel approaches, were adapted and modified from previous publications [<a href="#B178-plants-09-01622" class="html-bibr">178</a>,<a href="#B181-plants-09-01622" class="html-bibr">181</a>,<a href="#B182-plants-09-01622" class="html-bibr">182</a>,<a href="#B183-plants-09-01622" class="html-bibr">183</a>,<a href="#B184-plants-09-01622" class="html-bibr">184</a>,<a href="#B185-plants-09-01622" class="html-bibr">185</a>,<a href="#B186-plants-09-01622" class="html-bibr">186</a>,<a href="#B187-plants-09-01622" class="html-bibr">187</a>,<a href="#B188-plants-09-01622" class="html-bibr">188</a>,<a href="#B190-plants-09-01622" class="html-bibr">190</a>,<a href="#B191-plants-09-01622" class="html-bibr">191</a>].</p>
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<p>A proposed flow-chart to develop Verticillium wilt-resistant tomato varieties by genome-based approaches and new plant breeding techniques adapted and modified from previous publications [<a href="#B192-plants-09-01622" class="html-bibr">192</a>,<a href="#B193-plants-09-01622" class="html-bibr">193</a>,<a href="#B194-plants-09-01622" class="html-bibr">194</a>,<a href="#B195-plants-09-01622" class="html-bibr">195</a>,<a href="#B196-plants-09-01622" class="html-bibr">196</a>,<a href="#B197-plants-09-01622" class="html-bibr">197</a>,<a href="#B198-plants-09-01622" class="html-bibr">198</a>,<a href="#B199-plants-09-01622" class="html-bibr">199</a>,<a href="#B200-plants-09-01622" class="html-bibr">200</a>,<a href="#B201-plants-09-01622" class="html-bibr">201</a>,<a href="#B202-plants-09-01622" class="html-bibr">202</a>,<a href="#B203-plants-09-01622" class="html-bibr">203</a>,<a href="#B205-plants-09-01622" class="html-bibr">205</a>,<a href="#B212-plants-09-01622" class="html-bibr">212</a>,<a href="#B221-plants-09-01622" class="html-bibr">221</a>,<a href="#B222-plants-09-01622" class="html-bibr">222</a>,<a href="#B223-plants-09-01622" class="html-bibr">223</a>,<a href="#B224-plants-09-01622" class="html-bibr">224</a>,<a href="#B225-plants-09-01622" class="html-bibr">225</a>].</p>
Full article ">
18 pages, 3865 KiB  
Article
Effect of Adjuvants on Herbicidal Activity and Selectivity of Three Phytotoxins Produced by the Fungus, Stagonospora cirsii
by Vsevolod Dubovik, Anna Dalinova and Alexander Berestetskiy
Plants 2020, 9(11), 1621; https://doi.org/10.3390/plants9111621 - 21 Nov 2020
Cited by 16 | Viewed by 3594
Abstract
The use of many fungal phytotoxins as natural herbicides is still limited because they cannot penetrate leaf cuticle without injury and a little is known on their selectivity. In order to assess the herbicidal potential of phytotoxic 10-membered lactones (stagonolide A, stagonolide K, [...] Read more.
The use of many fungal phytotoxins as natural herbicides is still limited because they cannot penetrate leaf cuticle without injury and a little is known on their selectivity. In order to assess the herbicidal potential of phytotoxic 10-membered lactones (stagonolide A, stagonolide K, and herbarumin I), the selection of adjuvants, the evaluation of selectivity of the toxins and the efficacy of their formulations were performed. Among four adjuvants tested, Hasten™ (0.1%, v/v) increased phytotoxic activity of all the toxins assayed on non-punctured leaf discs of Sonchus arvensis. When assayed on intact leaf fragments of 18 plants species, 10 species were low to moderately sensitive to stagonolide A, while just five and three species were sensitive to stagonolide K and herbarumin I, respectively. Both leaf damage or addition of Hasten™ (0.1%) to the formulations of the compounds considerably increased or altered the sensitivity of plants to the toxins. Stagonolide A was shown to be non-selective phytotoxin. The selectivity profile of stagonolide K and herbarumin I depended on the leaf wounding or the adjuvant addition. Stagonolide A and herbarumin I formulated in 0.5% Hasten™ showed considerable herbicidal effect on S. arvensis aerial shoots. This study supported the potential of the oil-based adjuvant Hasten™ to increase the herbicidal efficacy of natural phytotoxins. Full article
(This article belongs to the Special Issue Bioactive Components in Plant Pathogens)
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<p>Nonenolide-type phytotoxins from <span class="html-italic">S. cirsii</span> S-47. <b>1</b>—stagonolide A, <b>2</b>—stagonolide K, <b>3</b>—herbarumin I.</p>
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<p>Effect of leaf damage and adjuvants on phytotoxicity of <span class="html-italic">S. cirsii</span> S-47 toxins on leaf discs of <span class="html-italic">S. arvensis</span>: (<b>a</b>) stagonolide A, (<b>b</b>) stagonolide K, (<b>c</b>) herbarumin I. Bars represent median values and interquartile ranges. Statistically significant differences between groups were assessed by the Kruskal–Wallis test: (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Phytotoxicity of stagonolide A (2 mg/mL) prepared in 5% EtOH assayed on (<b>a</b>) non-punctured and (<b>b</b>) punctured leaf fragments, and (<b>c</b>) supplemented with Hasten™ (0.1% <span class="html-italic">v</span>/<span class="html-italic">v</span>) on non-punctured leaf fragments of 18 different plant species. Bars represent median values and interquartile ranges. Statistically significant differences between groups were assessed by the Kruskal–Wallis test: (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Phytotoxicity of stagonolide K (2 mg/mL) prepared in 5% EtOH assayed on (<b>a</b>) non-punctured and (<b>b</b>) punctured leaf fragments, and (<b>c</b>) supplemented with Hasten™ (0.1% <span class="html-italic">v</span>/<span class="html-italic">v</span>) on non-punctured leaf fragments of 18 different plant species. Bars represent median values and interquartile ranges. Statistically significant differences between groups were assessed by the Kruskal–Wallis test: (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01. The (!) signs indicate the formation of “green islands”.</p>
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<p>Phytotoxicity of herbarumin I (2 mg/mL) prepared in 5% EtOH assayed on (<b>a</b>) non-punctured and (<b>b</b>) punctured leaf fragments, and (<b>c</b>) supplemented with Hasten™ (0.1% <span class="html-italic">v</span>/<span class="html-italic">v</span>) on non-punctured leaf fragments of 18 different plant species. Bars represent median values and interquartile ranges. Statistically significant differences between groups were assessed by the Kruskal–Wallis test: (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01. The (!) signs indicate the formation of “green islands”.</p>
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<p>Phytotoxic effect of <span class="html-italic">S. cirsii</span> S-47 toxins on wheat leaf segments five days post treatment. Note “green islands” caused by stagonolide K and herbarumin I. (<b>a</b>) stagonolide A, (<b>b</b>) stagonolide K, (<b>c</b>) herbarumin I, (<b>d</b>) control.</p>
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<p>Aerial shoots of perennial sowthistle treated with the <span class="html-italic">S. cirsii</span> toxins formulated in 0.5% Hasten™ one week after treatment: (<b>a</b>) stagonolide A, (<b>b</b>) stagonolide K, (<b>c</b>) herbarumin I, (<b>d</b>) control.</p>
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<p>Effect of <span class="html-italic">S. cirsii</span> toxins (2 mg/mL) formulated in 0.5% Hasten™ on (<b>a</b>) fresh biomass of perennial sowthistle plants, (<b>b</b>) percentage of necrotic leaf area and (<b>c</b>) photosynthetic pigments content. Bars represent median values and interquartile ranges. Statistically significant differences between groups were assessed by the Kruskal–Wallis test: (*) <span class="html-italic">p</span> &lt; 0.05 and (**) <span class="html-italic">p</span> &lt; 0.01.</p>
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14 pages, 1214 KiB  
Article
Euphorbia cuneata Represses LPS-Induced Acute Lung Injury in Mice via Its Antioxidative and Anti-Inflammatory Activities
by Hossam M. Abdallah, Dina S. El-Agamy, Sabrin R. M. Ibrahim, Gamal A. Mohamed, Wael M. Elsaed, Amjad A. Elghamdi, Martin K. Safo and Azizah M. Malebari
Plants 2020, 9(11), 1620; https://doi.org/10.3390/plants9111620 - 21 Nov 2020
Cited by 13 | Viewed by 3733
Abstract
Euphorbia cuneata (EC; Euphorbiaceae), which widely grows in Saudi Arabia and Yemen, is used traditionally to treat pain and inflammation. This study aimed to evaluate the protective anti-inflammatory effect of a standardized extract of EC against lipopolysaccharide (LPS)-induced acute lung injury (ALI) in [...] Read more.
Euphorbia cuneata (EC; Euphorbiaceae), which widely grows in Saudi Arabia and Yemen, is used traditionally to treat pain and inflammation. This study aimed to evaluate the protective anti-inflammatory effect of a standardized extract of EC against lipopolysaccharide (LPS)-induced acute lung injury (ALI) in mice and the possible underlying mechanism(s) of this pharmacologic activity. ALI was induced in male Balb/c mice using intraperitoneal injection of LPS. A standardized total methanol extract of EC or dexamethasone was administered 5 days prior to LPS challenge. Bronchoalveolar fluid (BALF) and lung samples were collected for analysis. The results demonstrated the protective anti-inflammatory effect of EC against LPS-induced ALI in mice. Standardized EC contained 2R-naringenin-7-O-β-glucoside (1), kaempferol-7-O-β-glucoside (2), cuneatannin (3), quercetin (4), and 2R-naringenin (5) in concentrations of 6.16, 4.80, 51.05, 13.20, and 50.00 mg/g of extract, respectively. EC showed a protective effect against LPS-induced pulmonary damage. EC reduced lung wet/dry weight (W/D) ratio and total protein content in BALF, indicating attenuation of the pulmonary edema. Total and differential cell counts were decreased in EC-treated animals. Histopathological examination confirmed the protective effect of EC, as indicated by an amelioration of LPS-induced lesions in lung tissue. EC also showed a potent anti-oxidative property as it decreased lipid peroxidation and increased the antioxidants in lung tissue. Finally, the anti-inflammatory activity of EC was obvious through its ability to suppress the activation of nuclear factor-κB (NF-κB), and hence its reduction of the levels of downstream inflammatory mediators. In conclusion, these results demonstrate the protective effects of EC against LPS-induced lung injury in mice, which may be due to its antioxidative and anti-inflammatory activities. Full article
(This article belongs to the Special Issue Structural and Functional Analysis of Extracts in Plants)
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Graphical abstract

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<p>HPLC chromatogram of methanol extract of <span class="html-italic">Euphorbia cuneata</span>.</p>
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<p><span class="html-italic">Euphorbia cuneata</span> (EC) attenuated lipopolysaccharide (LPS)-induced lung injury. (<b>A</b>) Lung wet/dry weight (W/D) ratio, (<b>B</b>) protein content, and (<b>C</b>) lactate dehydrogenase (LDH) activity in bronchoalveolar lavage fluid (BALF). Mice were administered two different doses of EC (25 and 50 mg/kg) or dexamethasone (5 mg/kg) once daily for 5 days prior to intraperitoneal injection of LPS (10 mg/kg). Samples were collected 24 h after LPS injection. Data are the mean ± SD. (<span class="html-italic">n</span> = 8). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. control group; <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. LPS group; <sup>&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.01 vs. dexamethasone (DEX) + LPS group (one-way ANOVA).</p>
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<p><span class="html-italic">Euphorbia cuneata</span> (EC) suppressed lipopolysaccharide (LPS)-induced elevation in total and differential cell counts in bronchoalveolar lavage fluid (BALF). (<b>A</b>) Total cell count, (<b>B</b>) neutrophil count, (<b>C</b>) macrophage count, (<b>D</b>) lymphocyte count in lung tissue. Mice were treated with two different doses of EC (25 and 50 mg/kg) or dexamethasone (5 mg/kg) once daily for 5 days prior to intraperitoneal injection of LPS (10 mg/kg). Samples were collected 24 h after LPS injection. Data are the mean ± SD. (<span class="html-italic">n</span> = 8). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. control group; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. LPS group; <sup>&amp;</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>&amp;&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.001 vs. DEX + LPS group (one-way ANOVA).</p>
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<p><span class="html-italic">Euphorbia cuneata</span> (EC) ameliorated lipopolysaccharide (LPS)-induced histopathological damage of the lung. <b>I.</b> Lung specimen of different group stained with hematoxylin-eosin (H&amp;E). (<b>A</b>–<b>C</b>) <b>Control group</b> where lung specimen displayed normal alveolar bronchioles lined by pseudo-stratified ciliated columnar epithelium (arrow), pulmonary blood vessels, interalveolar septae (between arrow heads), alveolar capillaries, and interstitial tissue. (<b>D</b>–<b>F</b>) <b>LPS</b> group showing hypertrophied lining epithelium of the pulmonary bronchiole (arrow) with extravasation of red blood cells (RBCs) and inflammatory cell infiltration in the interalveolar tissue spaces, thickened intralveolar septae (arrow heads) with RBCs extravasation, and extensive neutrophil and macrophage infiltration in the interstitial tissue (tailed arrows). (<b>G</b>–<b>I</b>) <b>EC 25 + LPS group,</b> where the alveolar bronchioles had near normal epithelial lining with interalveolar mucous accumulation (arrow), and lamellae of collagen bundles (curved arrow) is seen close to the bronchiole, with less marked thickened intralveolar septae (arrow heads) with RBC extravasation and scarce neutrophil infiltration in the interstitial tissue (tailed arrow). (<b>J</b>–<b>L</b>) <b>EC 50 + LPS group,</b> where the alveolar bronchioles had near normal epithelial lining without interalveolar mucous (arrow), and lamellae of collagen bundles (curved arrows) are still seen close to the bronchiole, with no RBCs extravasation nor inflammatory cell infiltration in the interstitial tissue and near normal intralveolar septae (arrow heads) with scarce neutrophil infiltration in the interstitial tissue (tailed arrow). (<b>M</b>–<b>O</b>) <b>DEX + LPS group,</b> with near normal intralveolar septae (arrow heads) without neutrophil infiltration nor collagen bundle deposition in the interstitial tissue. <b>II.</b> Semi-quantitative analysis of LPS-induced lung lesions with regards to the severity and distribution of the lesions. Mice were administered two different doses of EC (25 and 50 mg/kg) or dexamethasone (5 mg/kg) once daily for 5 days prior to intraperitoneal injection of LPS (10 mg/kg). Samples were collected 24 h after LPS injection. Data are the mean ± SD. (<span class="html-italic">n</span> = 8). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. control group; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. LPS group (Kruskal-Wallis).</p>
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<p><span class="html-italic">Euphorbia cuneata</span> (EC) ameliorated lipopolysaccharide (LPS)-induced lipid peroxidation and increased antioxidant parameters in the lung. (<b>A</b>) Malondialdehyde (MDA), (<b>B</b>) 4-hydroxynonenal (4-HNE), (<b>C</b>) catalase, (<b>D</b>) superoxide dismutase (SOD), (<b>E</b>) reduced glutathione (GSH), (<b>F</b>) total antioxidant capacity (TAC). Mice were treated with two different doses of EC (25 and 50 mg/kg) or dexamethasone (5 mg/kg) once daily for 5 days prior to intraperitoneal injection of LPS (10 mg/kg). Samples were collected 24 h after LPS injection. Parameters were estimated in the supernatants of the lung homogenates. Data are the mean ± SD. (<span class="html-italic">n</span> = 8). <span class="html-italic">** p</span> &lt; 0.01, <span class="html-italic">*** p</span> &lt; 0.001 vs. control group; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. LPS group; <sup>&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>&amp;&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.001 vs. DEX + LPS group (one-way ANOVA).</p>
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<p><span class="html-italic">Euphorbia cuneata</span> (EC) inhibited lipopolysaccharide (LPS)-induced nuclear factor-κB (NF-κB) activation and cytokine release in lung. <b>I.</b> Expression of NF-ĸB cells in lung tissue determined by immunohistochemistry. (<b>A</b>) Control group, the positive NF-ĸB cells were not observed; (<b>B</b>) LPS group, increased expression of NF-ĸB-positive cells; (<b>C</b>) EC 25 + LPS group, there was low staining of NF-ĸB-positive cells; (<b>D</b>) EC 50 + LPS group, very limited expression in the perivascular region, and interstitial lung tissue; (<b>E</b>) DEX + LPS group, minor positive NF-ĸB cells. <b>II.</b> Levels of (<b>A</b>) NF-κB, (<b>B</b>) tumor necrosis factor-α (TNF-α), (<b>C</b>) interleukin-1β (IL-1β), (<b>D</b>) interleukin-6 (IL-6) in the supernatants of lung homogenates. Mice were treated with two different doses of EC (25 and 50 mg/kg) or dexamethasone (5 mg/kg) once daily for 5 days prior to intraperitoneal injection of LPS (10 mg/kg). Samples were collected 24 h after LPS injection. Data are the mean ± SD. (<span class="html-italic">n</span> = 8). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. control group; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001 vs. LPS group; <sup>&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>&amp;&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.001 vs. DEX + LPS group (one-way ANOVA).</p>
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23 pages, 1116 KiB  
Review
Baccharis dracunculifolia and Dalbergia ecastophyllum, Main Plant Sources for Bioactive Properties in Green and Red Brazilian Propolis
by Adela Ramona Moise and Otilia Bobiş
Plants 2020, 9(11), 1619; https://doi.org/10.3390/plants9111619 - 21 Nov 2020
Cited by 41 | Viewed by 5557
Abstract
Nowadays, propolis is used as a highly valuable product in alternative medicine for improving health or treating a large spectrum of pathologies, an ingredient in pharmaceutical products, and also as a food additive. Different vegetal materials are collected by honeybees and mixed with [...] Read more.
Nowadays, propolis is used as a highly valuable product in alternative medicine for improving health or treating a large spectrum of pathologies, an ingredient in pharmaceutical products, and also as a food additive. Different vegetal materials are collected by honeybees and mixed with wax and other own substances in order to obtain the final product, called propolis. It is known as the bee product with the widest chemical composition due to the raw material collected by the bees. Different types are known worldwide: green Brazilian propolis (having Baccharis dracunculifolia as the major plant source), red Brazilian propolis (from Dalbergia ecastophyllum), European propolis (Populus nigra L.), Russian propolis (Betula verrucosa Ehrh), Cuban and Venezuelan red propolis (Clusia spp.), etc. An impressive number of scientific papers already demonstrate the pharmacological potential of different types of propolis, the most important activities being the antimicrobial, anti-inflammatory, antitumor, immunomodulatory, and antioxidant activities. However, the bioactive compounds responsible for each activity have not been fully elucidated. This review aims to collect important data about the chemical composition and bioactive properties of the vegetal sources and to compare with the chemical composition of respective propolis types, in order to determine the connection between the floral source and the propolis properties. Full article
(This article belongs to the Special Issue Plants: Sources of Diversity in Propolis Properties)
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<p>Green and red Brazilian propolis (photo source: [<a href="#B18-plants-09-01619" class="html-bibr">18</a>,<a href="#B19-plants-09-01619" class="html-bibr">19</a>]).</p>
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<p>Chemical structure of the main green Brazilian propolis markers (<b>a</b>) para-coumaric acid; (<b>b</b>) artepillin C; (<b>c</b>) baccharin.</p>
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<p>Chemical structure of the main red Brazilian propolis markers (<b>a</b>) vestinol; (<b>b</b>) neovestinol; (<b>c</b>) formononetine.</p>
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19 pages, 1323 KiB  
Article
Effects of Irrigation with Different Sources of Water on Growth, Yield and Essential Oil Compounds in Oregano
by Giuseppe Virga, Leo Sabatino, Mario Licata, Teresa Tuttolomondo, Claudio Leto and Salvatore La Bella
Plants 2020, 9(11), 1618; https://doi.org/10.3390/plants9111618 - 20 Nov 2020
Cited by 16 | Viewed by 3863
Abstract
Aromatic plants can benefit from the use of treated wastewater to satisfy their water requirements, but the effects on the essential oil yield and quality need an assessment. The aims of this study were to assess the effects of freshwater and treated wastewater [...] Read more.
Aromatic plants can benefit from the use of treated wastewater to satisfy their water requirements, but the effects on the essential oil yield and quality need an assessment. The aims of this study were to assess the effects of freshwater and treated wastewater obtained from a Sicilian (Italy) pilot-scale horizontal subsurface flow constructed wetland system on plant growth and yield, essential oil yield and composition of oregano (Origanum vulgare ssp. hirtum (Link) Ietswaart) and soil characteristics. The system had a total surface area of 100 m2 and was planted with giant reed and umbrella sedge. An experimental open field of oregano was set up close to the system. Two years and two different sources of irrigation water were tested in a split-plot design for a two-factor experiment. Treated wastewater was characterized by higher values of mineral and organic constituents than freshwater. The results highlight that short-term irrigation with freshwater and treated wastewater, in both years, led to increased plant growth, dry weight and essential oil yield of oregano plants. However, it did not significantly affect the essential oil content and composition in comparison with the control. Furthermore, the year and source of irrigation water did not significantly vary the chemical composition of the soil. Our results suggest that treated wastewater can be considered an alternative to freshwater for the cultivation of oregano due to the fact that it does not greatly influence the yield quality and quantity of this species in the short-term. Full article
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<p>Rainfall and temperature trends during the test period. Graph (<b>a</b>) refers to 2017, while graph (<b>b</b>) refers to 2018.</p>
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<p>Effects of the main factors on dry weight and essential oil yield. Graph (<b>a</b>) refers to effect of the year; graph (<b>b</b>) refers to effect of source of irrigation water.</p>
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<p>An overview of the horizontal subsurface flow system constructed wetland (HSSFs CW).</p>
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<p>Layout of the HSSFs CW.</p>
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18 pages, 3938 KiB  
Article
Characterization and Stress Response of the JmjC Domain-Containing Histone Demethylase Gene Family in the Allotetraploid Cotton Species Gossypium hirsutum
by Jie Zhang, Junping Feng, Wei Liu, Zhongying Ren, Junjie Zhao, Xiaoyu Pei, Yangai Liu, Daigang Yang and Xiongfeng Ma
Plants 2020, 9(11), 1617; https://doi.org/10.3390/plants9111617 - 20 Nov 2020
Cited by 9 | Viewed by 3337
Abstract
Histone modification is an important epigenetic modification that controls gene transcriptional regulation in eukaryotes. Histone methylation is accomplished by histone methyltransferase and can occur on two amino acid residues, arginine and lysine. JumonjiC (JmjC) domain-containing histone demethylase regulates gene transcription and chromatin structure [...] Read more.
Histone modification is an important epigenetic modification that controls gene transcriptional regulation in eukaryotes. Histone methylation is accomplished by histone methyltransferase and can occur on two amino acid residues, arginine and lysine. JumonjiC (JmjC) domain-containing histone demethylase regulates gene transcription and chromatin structure by changing the methylation state of the lysine residue site and plays an important role in plant growth and development. In this study, we carried out genome-wide identification and comprehensive analysis of JmjC genes in the allotetraploid cotton species Gossypium hirsutum. In total, 50 JmjC genes were identified and in G. hirsutum, and 25 JmjC genes were identified in its two diploid progenitors, G. arboreum and G. raimondii, respectively. Phylogenetic analysis divided these JmjC genes into five subfamilies. A collinearity analysis of the two subgenomes of G. hirsutum and the genomes of G. arboreum and G. raimondii uncovered a one-to-one relationship between homologous genes of the JmjC gene family. Most homologs in the JmjC gene family between A and D subgenomes of G. hirsutum have similar exon-intron structures, which indicated that JmjC family genes were conserved after the polyploidization. All G. hirsutumJmjC genes were found to have a typical JmjC domain, and some genes also possess other special domains important for their function. Analysis of promoter regions revealed that cis-acting elements, such as those related to hormone and abiotic stress response, were enriched in G. hirsutum JmjC genes. According to a reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis, most G. hirsutumJmjC genes had high abundance expression at developmental stages of fibers, suggesting that they might participate in cotton fiber development. In addition, some G. hirsutumJmjC genes were found to have different degrees of response to cold or osmotic stress, thus indicating their potential role in these types of abiotic stress response. Our results provide useful information for understanding the evolutionary history and biological function of JmjC genes in cotton. Full article
(This article belongs to the Special Issue Polyploidy and Evolution in Plants)
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<p>Phylogenetic tree of JmjC domain-containing histone demethylases from <span class="html-italic">G. hirsutum</span> (Gh), <span class="html-italic">G. arboreum</span> (Ga), <span class="html-italic">G. raimondii</span> (Gr), Arabidopsis (At) and rice (Os). Phylogenetic analysis was performed in MEGA 7.0 using the neighbor-joining method based on full-length protein sequences of <span class="html-italic">JmjC</span> genes from different plant species. Bootstrap support is indicated at respective nodes. Five clades are evident: KDM3/JHDM2, KDM4/JHDM3, KDM5/JARID, JMJD6 and JmjC domain-only. They are distinguished by blue, purple, orange, red and green arcs in turn. <span class="html-italic">G. hirsutum</span> (Gh), <span class="html-italic">G. arboreum</span> (Ga) and <span class="html-italic">G. raimondii</span> (Gr) <span class="html-italic">JmjC</span> genes are indicated by red, blue and green dots, respectively. Arabidopsis (At) and rice (Os) <span class="html-italic">JmjC</span> genes are indicated by yellow and purple stars, respectively.</p>
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<p>Locations and homologous relationships of <span class="html-italic">JmjC</span> genes in <span class="html-italic">G. raimondii</span>, <span class="html-italic">G. arboreum</span>, and A and D subgenomes of <span class="html-italic">G. hirsutum</span> (<b>A</b>–<b>C</b>). Locations and homologous relationships of <span class="html-italic">JmjC</span> family genes in the D and A subgenomes of <span class="html-italic">G. hirsutum</span> (<b>A</b>), the D subgenome of <span class="html-italic">G. hirsutum</span> and <span class="html-italic">G. raimondii</span> (<b>B</b>), and the A subgenome of <span class="html-italic">G. hirsutum</span> and <span class="html-italic">G. arboreum</span> (<b>C</b>). Chromosomes of <span class="html-italic">G. raimondii</span>, <span class="html-italic">G. arboreum</span>, and <span class="html-italic">G. hirsutum</span> D and A subgenomes are shown in different colors. The gene density of different regions is represented by a red and yellow gradient, where red indicates high gene density and yellow indicates low gene density. Putative homologs belonging to the <span class="html-italic">JmjC</span> gene family are connected by red lines.</p>
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<p>Phylogenetic relationships, gene structures and domain architectures of <span class="html-italic">G. hirsutum JmjC</span> genes. (<b>A</b>) Phylogenetic tree based on full-length protein sequences of <span class="html-italic">G. hirsutum JmjC</span> genes. Phylogenetic analysis was performed in MEGA 7.0 using the neighbor-joining method. Purple, orange, green, red and blue branches represent the KDM4/JHDM3, KDM5/JARID, JmjC domain-only, JMJD6 and KDM3/JHDM2 subfamilies, respectively. (<b>B</b>) Exon-intron structures of <span class="html-italic">G. hirsutum JmjC</span> genes. Black lines symbolize introns, and green boxes represent exons. The sizes of exons and introns can be estimated using the scale at the bottom. (<b>C</b>) The domain architectures of full-length JmjC domain-containing proteins. JmjC, Jumonji C domain; JmjN, Jumonji N domain; zf-C5HC2, C5HC2-type zinc finger; PLU-1, PLU-1 domain; PHD, plant homeobox domain; ARID, AT-rich interaction domain; FYRC, “FY-rich” domain C-terminal; FYRN, “FY-rich” domain N-terminal; Cupin_8, Cupin-like domain; F-box-like, F-box-like domain; F-box, F-box domain; WRC, Trp, Arg and Cys domain; zf-4CXXC_R1, Zinc-finger domain of monoamine-oxidase A repressor R1; AT_hook, DNA binding domain with preference for A/T rich regions.</p>
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<p>Distribution of <span class="html-italic">cis</span>-elements associated with major stresses in promoter sequences of <span class="html-italic">G. hirsutum JmjC</span> genes. Putative ABRE, ARE, AuxRR-core, CGTCA-motif, circadian, ERE, GARE-motif, G-box, GT1-motif, LTR, MBS, Myb and core sequences are represented by different symbols, as indicated at the bottom of the figure. ABRE, <span class="html-italic">cis</span>-acting element involved in abscisic acid responsiveness; ARE, anaerobic-induced essential regulatory element; AUXRR-core, an auxin-related element; CGTCA-motif, <span class="html-italic">cis</span>-acting regulatory element involved in MeJA responsiveness; circadian, involved in circadian <span class="html-italic">cis</span>-regulating elements; ERE, ethylene-responsive element; GARE-motif, gibberellin-responsive element; G-box, <span class="html-italic">cis</span>-acting element with light effect; GT1-motif, involved in salt-stress response elements; LTR, <span class="html-italic">cis</span>-acting element involved in hypothermic stress response; MBS, related to drought induction; Myb, <span class="html-italic">cis</span>-acting element involved in response to drought, high temperature and low temperature.</p>
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<p>Heat map of expression profiles of <span class="html-italic">G. hirsutum JmjC</span> genes in different tissues. Expression levels were verified by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). (<b>A</b>) Phylogenetic tree based on full-length protein sequences of <span class="html-italic">G. hirsutum JmjC</span> genes. Phylogenetic analysis was performed in MEGA 7.0 using the neighbor-joining method. Purple, orange, green, red and blue branches represent the KDM4/JHDM3, KDM5/JARID, JmjC domain-only, JMJD6 and KDM3/JHDM2 subfamilies, respectively. (<b>B</b>) Relative expression levels are indicated according to the color scale on the right, where blue and red respectively represent low and high transcript abundance. The type of tissue and the stage of development of ovules (green) and fibers (yellow) are indicated at the top of each column. DPA, days after anthesis.</p>
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<p>Heat map of expression profiles of <span class="html-italic">G. hirsutum JmjC</span> genes under cold and polyethylene glycol (PEG) treatments. Expression levels were verified by RT-qPCR. (<b>A</b>) Phylogenetic tree based on full-length protein sequences of <span class="html-italic">G. hirsutum JmjC</span> genes. Phylogenetic analysis was performed in MEGA 7.0 using the neighbor-joining method. Purple, orange, green, red and blue branches represent the KDM4/JHDM3, KDM5/JARID, JmjC domain-only, JMJD6 and KDM3/JHDM2 subfamilies, respectively. (<b>B</b>) Relative expression levels are indicated according to the color scale on the right, where blue and red respectively represent low and high transcript abundance. The type and duration of treatment (CK, cold stress, or osmotic stress) are indicated at the top of the map.</p>
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13 pages, 2692 KiB  
Article
Metabolic Profiling of Primary Metabolites and Galantamine Biosynthesis in Wounded Lycoris radiata Callus
by Chang Ha Park, Ramaraj Sathasivam, Bao Van Nguyen, Seung-A Baek, Hyeon Ji Yeo, Ye Eun Park, Haeng Hoon Kim, Jae Kwang Kim and Sang Un Park
Plants 2020, 9(11), 1616; https://doi.org/10.3390/plants9111616 - 20 Nov 2020
Cited by 5 | Viewed by 3558
Abstract
Plants are continuously exposed to abiotic and biotic factors that lead to wounding stress. Different plants exhibit diverse defense mechanisms through which various important metabolites are synthesized. Humans can exploit these mechanisms to improve the efficacy of existing drugs and to develop new [...] Read more.
Plants are continuously exposed to abiotic and biotic factors that lead to wounding stress. Different plants exhibit diverse defense mechanisms through which various important metabolites are synthesized. Humans can exploit these mechanisms to improve the efficacy of existing drugs and to develop new ones. Most previous studies have focused on the effects of wounding stress on the different plant parts, such as leaves, stems, and roots. To date, however, no study has investigated the accumulation of primary and galantamine content following the exposure of a callus to wounding stress. Therefore, in the present study, we exposed Lycoris radiata calli to wounding stress and assessed the expression levels of several genes involved in metabolic pathways at various time points (0, 3, 6, 12, 24, 48, 72, and 96 h of exposure). Furthermore, we quantify the primary and galantamine content using gas chromatography–time-of-flight mass spectrometry and the high-performance liquid chromatography qRT-PCR analysis of eight galantamine pathway genes (LrPAL-2, LrPAL-3, LrC4H-2, LrC3H, LrTYDC2, LrN4OMT, LrNNR, and LrCYP96T) revealed that seven genes, except LrN4OMT, were significantly expressed following exposure to wounding stress. Galantamine contents of calli after 3, 6, 12, 24, 48, 72, and 96 h of exposure were respectively 2.5, 2.5, 3.5, 3.5, 5.0, 5.0, and 8.5 times higher than that after 0 h of exposure. Furthermore, a total of 48 hydrophilic metabolites were detected in the 0 h exposed callus and 96 h exposed callus using GC-TOFMS. In particular, a strong positive correlation between galantamine and initial precursors, such as phenylalanine and tyrosine, was observed. Full article
(This article belongs to the Special Issue Plant Tissue Culture)
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<p>Proposed galantamine biosynthetic pathway in <span class="html-italic">Lycoris radiata</span>. Enzymes involved in each conversion reaction are indicated in pink. Asterisks indicate the genes used in expression analysis. Galantamine content measured using high-performance liquid chromatography is indicated in red. PAL, phenylalanine ammonia-lyase; C4H, trans-cinnamate 4-monooxygenase; C3H, <span class="html-italic">p</span>-coumarate 3-hydroxylase; TYDC, tyrosine decarboxylase; NNR, noroxomaritidine/norcraugsodine reductase; N4OMT, norbelladine 4′-<span class="html-italic">O</span>-methyltransferase, CYP96T1, noroxomaritidin synthase 1.</p>
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<p>Relative gene expression levels of galantamine pathway genes at different time points following exposure to wounding stress. The housing keeping gene β-actin was used as internal control. Results are given as the mean of triplicates ± SD. Different letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Galantamine content at different time points after exposure to wounding stress. Different letters indicate a significant difference at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Score plots and metabolite differences between calli exposed for 0 and 96 h derived from a PCA model of GC-TOFMS results.</p>
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<p>Correlation matrix-based hierarchical cluster analysis of results obtained from data of 49 metabolites between calli exposed for 0 and 96 h. Each square shows the Pearson’s correlation coefficient for a pair of metabolites, and the value for the correlation coefficient is displayed by the color difference, as shown on the color scale. Hierarchical clusters are characterized by a cluster tree.</p>
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13 pages, 295 KiB  
Article
Tomato Brown Rugose Fruit Virus: Seed Transmission Rate and Efficacy of Different Seed Disinfection Treatments
by Salvatore Davino, Andrea Giovanni Caruso, Sofia Bertacca, Stefano Barone and Stefano Panno
Plants 2020, 9(11), 1615; https://doi.org/10.3390/plants9111615 - 20 Nov 2020
Cited by 68 | Viewed by 10511
Abstract
Tomato brown rugose fruit virus (ToBRFV) is a highly infectious virus, that is becoming a threat to tomato production worldwide. In this work we evaluated the localization of ToBRFV particles in tomato seeds, its seed transmission rate and efficacy of disinfection, and the [...] Read more.
Tomato brown rugose fruit virus (ToBRFV) is a highly infectious virus, that is becoming a threat to tomato production worldwide. In this work we evaluated the localization of ToBRFV particles in tomato seeds, its seed transmission rate and efficacy of disinfection, and the effects of different thermal- and chemical-based treatments on ToBRFV-infected seeds’ germination. Analyses demonstrated that ToBRFV was located in the seed coat, sometime in the endosperm, but never in the embryo; its transmission from infected seeds to plantlets occurs by micro-lesions during the germination. The ToBRFV seed transmission rate was 2.8% in cotyledons and 1.8% in the third true leaf. Regarding the different disinfection treatments, they returned 100% of germination at 14 days post-treatment (dpt), except for the treatment with 2% hydrochloric acid +1.5% sodium hypochlorite for 24 h, for which no seed germinated after 14 dpt. All treatments have the ability to inactivate ToBRFV, but in six out of seven treatments ToBRFV was still detectable by RT-qPCR. These results raise many questions about the correct way to carry out diagnosis at customs. To our knowledge, this is the first study on the effective localization of ToBRFV particles in seeds. Full article
(This article belongs to the Special Issue Seed Borne Plant Viruses: A Threat for the Global Exchanges)
6 pages, 1312 KiB  
Communication
Halophila Balfourii Solereder (Hydrocharitaceae)—An Overlooked Seagrass Species
by John Kuo
Plants 2020, 9(11), 1614; https://doi.org/10.3390/plants9111614 - 20 Nov 2020
Cited by 1 | Viewed by 2837
Abstract
Halophila balfourii Solereder has long been treated as a synonym of Halophila stipulacea (Forrsk.) Asch., although it was named more than a century ago. Microscopic (optical microscope and scanning electron microscope) studies on all available herbarium materials of these two species have reconfirmed [...] Read more.
Halophila balfourii Solereder has long been treated as a synonym of Halophila stipulacea (Forrsk.) Asch., although it was named more than a century ago. Microscopic (optical microscope and scanning electron microscope) studies on all available herbarium materials of these two species have reconfirmed that the unique papillose leaf epidermis is only presented in H. balfourii but not in H. stipulacea. The pattern of seed testa reticulate is significantly different between these two species. Furthermore, H. balfourii is predominately restricted to the Rodriguez and Mauritius Islands while membranous leafed H. stipulacea is widely distributed in the Red Sea, the Indian Ocean and the Mediterranean Sea as well as East Africa coasts. Based on distinctive characteristics of the leaf and seed coat, and its geographic distribution, it is recommended to reinstate H. balfourii as an independent species and not as a synonym of H. stipulacea. Full article
(This article belongs to the Special Issue Systematics and Ecology of Algae and Marine Plants)
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<p>(<b>A</b>,<b>B</b>); Scanning Electron micrographs of the membranous blade surfaces of <span class="html-italic">Halophila stipulacea.</span> Scale bars: Figure (<b>A</b>) = 1 mm; Figure (<b>B</b>) = 1 µm. Arrows shows serrulated blade margins. Kenya, Shimo la Jewa, in pools, 10 Oct. 1965, <span class="html-italic">FM Issac A108</span> (NHM). (<b>C</b>,<b>D</b>); Scanning Electron micrographs of the papillose leaf blade surfaces of <span class="html-italic">Halophila balfourii</span>. Scale bars: (<b>C</b>) = 1 mm; (<b>D</b>) = 1 µm. Arrows shows serrulated blade margins. Mauritius, Grand Bay, Oct 1929, <span class="html-italic">Th Mortensen s.n.</span> (NHM). (<b>E</b>,<b>F</b>). Transverse sections of the membranous leaf blade of <span class="html-italic">Halophila stipulacea</span> (<b>E</b>) and the papillose leaf blade of <span class="html-italic">H. balfourii</span> (<b>F</b>) to show that <span class="html-italic">H. stipulacea</span> leaf has squamous appearance epidermal cells (SE); while <span class="html-italic">H. balfourii</span> leaf has pyramid appearance epidermal cells (PE). All scale bars = 1 µm. (<b>G</b>,<b>H</b>); Scanning Electron micrographs of the seed surface of <span class="html-italic">Halophila stipulacea</span> (<b>G</b>) and <span class="html-italic">Halophila balfourii</span> (<b>H</b>). Scale bars: (<b>G</b>) = 2 µm; (<b>H</b>) = 2.5 µm. <span class="html-italic">H. stipulacea</span>: Elate Gulf, <span class="html-italic">Lipkin 10,174</span> (Tel Aviv Univ); <span class="html-italic">H. balfourii</span>: Rodriguez, Graviers, Dec 1973, <span class="html-italic">Coode 4341</span> (K).</p>
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<p>Botanical drawings of <span class="html-italic">Halophila balfourii</span> Solereder. (<b>A</b>) A female plant with flowers and developing fruits. (<b>B</b>) Leaf blade with unbranching cross veins. (<b>C</b>) Immature male flower. (<b>D</b>) Female flower with styles attached. (<b>E</b>) Female flower with styles detached. (<b>F</b>) Maturing fruit. Mauritius, Grand Bay, Oct 1929, <b><span class="html-italic">mf, fl, fr</span>,</b> <span class="html-italic">Th Mortensen s.n.</span> (C, K, NHM).</p>
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17 pages, 8052 KiB  
Article
Automatic Stomatal Segmentation Based on Delaunay-Rayleigh Frequency Distance
by Miguel Carrasco, Patricio A. Toledo, Ramiro Velázquez and Odemir M. Bruno
Plants 2020, 9(11), 1613; https://doi.org/10.3390/plants9111613 - 20 Nov 2020
Cited by 1 | Viewed by 3578
Abstract
The CO2 and water vapor exchange between leaf and atmosphere are relevant for plant physiology. This process is done through the stomata. These structures are fundamental in the study of plants since their properties are linked to the evolutionary process of the [...] Read more.
The CO2 and water vapor exchange between leaf and atmosphere are relevant for plant physiology. This process is done through the stomata. These structures are fundamental in the study of plants since their properties are linked to the evolutionary process of the plant, as well as its environmental and phytohormonal conditions. Stomatal detection is a complex task due to the noise and morphology of the microscopic images. Although in recent years segmentation algorithms have been developed that automate this process, they all use techniques that explore chromatic characteristics. This research explores a unique feature in plants, which corresponds to the stomatal spatial distribution within the leaf structure. Unlike segmentation techniques based on deep learning tools, we emphasize the search for an optimal threshold level, so that a high percentage of stomata can be detected, independent of the size and shape of the stomata. This last feature has not been reported in the literature, except for those results of geometric structure formation in the salt formation and other biological formations. Full article
(This article belongs to the Collection Feature Papers in Plant Development and Morphogenesis)
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<p>Illustration of precision and recall concepts. True positive (<span class="html-italic">TP</span>) occurs when the distance between manual-coordinate (yellow cross) is less than a threshold with respect to the coordinate of the segmented-region (ellipses). False negative (<span class="html-italic">FN</span>) occurs when the algorithm does not find the stoma, even when it is present in the image. Finally, when the algorithm classifies a region where there is no stoma, we consider this coordinate as False Positive (<span class="html-italic">FP</span>). The ratio <span class="html-italic">TP</span>/(<span class="html-italic">FP</span> + <span class="html-italic">TP</span>) is known as precision (positive predictive value (<span class="html-italic">PPV</span>)), and the ratio (<span class="html-italic">TP</span>/<span class="html-italic">TP</span> + <span class="html-italic">FN</span>) is called recall (true positive rate (<span class="html-italic">TPR</span>)).</p>
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<p>Performance of the proposed algorithm applied to 31 specimens of <span class="html-italic">Hymenaea Courbaril</span> (Jatoba Database). Overall recall and precision are 89.14% and 72.8%, respectively. Maximum recall performance is achieved at specimens #8, #9, and #10 with 100% and maximum precision performance is reached at 98% by specimen #3. Worst recall and precision performance is 70% and 58%, respectively, both at specimen #30.</p>
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<p>Analysis of selected specimens. (Left) Best performance is achieved at the upper-right area of the diagram with high recall and precision. Worst performance is achieved at the lower-left area. Orange cross indicates mean (recall/performance 83%/72%) and standard deviation (8%/10%). (Right) Specimen #1 represents an average performance (85%/72%) with clear regions but high diffusion. Specimen #3 has 98%/89% detection performance, and stomata shows sharp borders with clear regions leading to good detection metrics. Specimen #12 shows 94%/58% with high recall and lower precision, explained by diffuse borders and poor region definition. Specimen #30 has the poorest performance with 70%/58% with very diffuse borders and poor regions with high false positive rate.</p>
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<p>Example of segmentation output. Our algorithm is able to detect stomatal centroids (blue dots) and segmented areas (red ellipses). With the geometric information from centroid coordinates, statistics and tessellations are built.</p>
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<p>Hand segmentation to 2842 stomata within 12 species as described in <a href="#plants-09-01613-t001" class="html-table">Table 1</a>. Despite morphological and chromatically differences, the spatial distributions are similar to the example shown in <a href="#plants-09-01613-f004" class="html-fig">Figure 4</a> (<span class="html-italic">Hymenaea Courbaril</span>).</p>
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<p>Root-Mean-Square Deviation (RMSD) versus segmented stomata number and Rayleigh parameter. (<b>a</b>), the RMSD decreases as a power law with number of segmented stomata. (<b>b</b>), RMSD increases exponentially with Rayleigh parameter. High RMSD species (red labels) tend to have lower number of segmented regions and higher Rayleigh parameter.</p>
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<p>Relationship between segmented region and Rayleigh distribution histogram. First column (stomata) shows different species analyzed. Second column (Delaunay center-of-mass) shows mass centers and corresponding tessellations. Third column (Zoom Region-of-Interest, ROI) shows region of interest. Fourth column (Distance distribution) shows sensibility of histogram to spatial distribution (more at <a href="https://github.com/mlacarrasco/drtb/tree/main/stomatasDB/output" target="_blank">https://github.com/mlacarrasco/drtb/tree/main/stomatasDB/output</a>).</p>
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<p>Comparison between high and low focused stomata. In specimen #10, stomata are clearly visible with sharp edges with very low RMSD (see <a href="#plants-09-01613-f007" class="html-fig">Figure 7</a>). Specimen #29 has diffused edges.</p>
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<p>General process implemented in detection algorithm. (Left) Input RGB image from microscope. (Center) Sequence of processing: First, Preprocessing stage: Perona-Malik filtering followed by Meanshift clustering. Second, segmentation algorithm proposed (DRTB): binarization, labeling, tessellation, distance analysis, and segmentation stage plus optimal leveling. (Right) Final output image with segmented region and centroid based tessellation.</p>
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<p>Image preprocessing with Perona-Malik (PM) filtering. PM has three main parameters: <math display="inline"><semantics> <mi mathvariant="sans-serif">Δ</mi> </semantics></math>, which represents the diffusion level; <math display="inline"><semantics> <mi mathvariant="sans-serif">κ</mi> </semantics></math>, which represents an advance-step (time in the original PDE framework); and the iteration number (advance-step times iteration number is the total time in the PDE framework). Four examples are shown to exemplify diffusion action over an image; higher <math display="inline"><semantics> <mi mathvariant="sans-serif">Δ</mi> </semantics></math> parameter means more diffuse image.</p>
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<p>Image preprocessing with Perona-Malik (PM) filtering. After the PM usage (see <a href="#plants-09-01613-f010" class="html-fig">Figure 10</a>) the image is decomposed into red, green, and blue channels (RGB decomposition) with a standard routine (see shared code at GitHub). The red channel <math display="inline"><semantics> <mrow> <msup> <mi>P</mi> <mi>R</mi> </msup> </mrow> </semantics></math> is used later in the next process.</p>
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<p>Image preprocessing with Meanshift-Hadamard division. After the PM usage (see <a href="#plants-09-01613-f010" class="html-fig">Figure 10</a>), the filtered red-channel <math display="inline"><semantics> <mrow> <msub> <mo>∂</mo> <mi>t</mi> </msub> <msup> <mi>P</mi> <mi>R</mi> </msup> </mrow> </semantics></math> is used as input for Meanshift; the output <math display="inline"><semantics> <mrow> <mi>M</mi> <mrow> <mo>(</mo> <mrow> <msub> <mo>∂</mo> <mi>t</mi> </msub> <msup> <mi>P</mi> <mi>R</mi> </msup> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math> is combined with the saturation channel of the original image <math display="inline"><semantics> <mrow> <msup> <mi>P</mi> <mi>S</mi> </msup> </mrow> </semantics></math> through the Hadamard division, and this later image is subject to clustering.</p>
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<p>Binary segmentation and Delaunay tessellation. (Left) Grey-scale image (see <a href="#plants-09-01613-f012" class="html-fig">Figure 12</a>) is subject to the process of binarization at the <math display="inline"><semantics> <mi>l</mi> </semantics></math>-level. (Right) Different binarization threshold results in different tessellations. The best tessellation is found through an optimization procedure applied over the RMSD, with respect to an ideal Rayleigh distribution and the empirical histogram.</p>
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<p>Delaunay tessellation over ROI (red square). (Left) Meanshift image and binarized image. (Center) Zoom over the ROI shows the segmented regions and its centroids (yellow dots). A Delaunay tessellation is built from centroids; note that centroid positions are dependent on the binarization level <math display="inline"><semantics> <mi>l</mi> </semantics></math>. (Right) After the centroids are fixed and the tessellation is built, the set <math display="inline"><semantics> <mrow> <msub> <mi>d</mi> <mi>i</mi> </msub> </mrow> </semantics></math> of all found distances are used to calculate a histogram, which is used for RMSD analysis.</p>
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<p>Sensibility analysis of binarization level and RMSD optimization procedure. (Left) Different histograms corresponding to different binarization levels. (Upper right) RMSD sensibility with respect to binarization level. The level of binarization minimizing the RMSD error is used for the final tessellation. (Lower right) Final output of the proposed algorithm with the positions of stomata fixed at tessellation nodes.</p>
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21 pages, 5667 KiB  
Article
In-silico Exploration of Channel Type and Efflux Silicon Transporters and Silicification Proteins in 80 Sequenced Viridiplantae Genomes
by Muhammad Amjad Nawaz, Farrukh Azeem, Alexander Mikhailovich Zakharenko, Xiao Lin, Rana Muhammad Atif, Faheem Shehzad Baloch, Ting-Fung Chan, Gyuhwa Chung, Junghee Ham, Sangmi Sun and Kirill S. Golokhvast
Plants 2020, 9(11), 1612; https://doi.org/10.3390/plants9111612 - 20 Nov 2020
Cited by 7 | Viewed by 3466
Abstract
Silicon (Si) accumulation protects plants from biotic and abiotic stresses. It is transported and distributed within the plant body through a cooperative system of channel type (e.g., OsLsi1) and efflux (Lsi2s e.g., OsLsi2) Si transporters (SITs) that belong to Noduline-26 like [...] Read more.
Silicon (Si) accumulation protects plants from biotic and abiotic stresses. It is transported and distributed within the plant body through a cooperative system of channel type (e.g., OsLsi1) and efflux (Lsi2s e.g., OsLsi2) Si transporters (SITs) that belong to Noduline-26 like intrinsic protein family of aquaporins and an uncharacterized anion transporter family, respectively. Si is deposited in plant tissues as phytoliths and the process is known as biosilicification but the knowledge about the proteins involved in this process is limited. In the present study, we explored channel type SITs and Lsi2s, and siliplant1 protein (Slp1) in 80 green plant species. We found 80 channel type SITs and 133 Lsi2s. The channel type SITs characterized by the presence of two NPA motifs, GSGR or STAR selectivity filter, and 108 amino acids between two NPA motifs were absent from Chlorophytes, while Streptophytes evolved two different types of channel type SITs with different selectivity filters. Both channel type SITs and Lsi2s evolved two types of gene structures each, however, Lsi2s are ancient and were also found in Chlorophyta. Homologs of Slp1 (225) were present in almost all Streptophytes regardless of their Si accumulation capacity. In Si accumulator plant species, the Slp1s were characterized by the presence of H, D-rich domain, P, K, E-rich domain, and P, T, Y-rich domain, while moderate Si accumulators lacked H, D-rich domain and P, T, Y-rich domains. The digital expression analysis and coexpression networks highlighted the role of channel type and Lsi2s, and how Slp1 homologs were ameliorating plants’ ability to withstand different stresses by co-expressing with genes related to structural integrity and signaling. Together, the in-silico exploration made in this study increases our knowledge of the process of biosilicification in plants. Full article
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<p>(<b>a</b>) Maximum-likelihood tree of <span class="html-italic">OsLsi1</span> homologs (80) in studied viridiplantae genomes. <span class="html-italic">KU821730</span> (<span class="html-italic">Spongosphaera streptacantha</span> SIT-L gene) was used as an outgroup. The sequences were then aligned by MUSCLE in MEGA X and exported to IQ-Tree. The tree was generated using substitution model JTT + I + G4 as a model of rate heterogeneity and Ultrafast Bootstrap with 1000 replicates. The red colored genes have 109 AAs between the NPA motifs. The empty golden square represents the presence of AA other than Ala i.e., Val. The light green clad color shows <span class="html-italic">OsLsi1</span> subclad, the dark green color shows <span class="html-italic">OsLsi6</span> subclad. (<b>b</b>) Conserved motifs present in plant channel type SITs. (<b>c</b>) Estimation of evolutionary divergence between <span class="html-italic">OsLsi1</span> and the identified genes.</p>
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<p>(<b>a</b>) Neighbor-joining tree of Lsi2s that have been characterized. (<b>b</b>) Conserved motifs found in all <span class="html-italic">OsLsi2</span> homologs, and (<b>c</b>) ML tree of Lsi2s in studied viridiplantae genomes. <span class="html-italic">KU821730</span> (<span class="html-italic">Spongosphaera streptacantha</span> SIT-L gene) was used as an outgroup. The sequences were then aligned by MUSCLE in MEGA X and exported to IQ-Tree. The tree was generated using substitution model VI + I + G4 (Invar + Gamma with 4 categories) as a model of rate heterogeneity and Ultrafast Bootstrap with 1000 replicates. (<b>d</b>) <span class="html-italic">OsLsi3</span> gene showing TMDs (prepared in PROTER V 1.1 with default settings) [<a href="#B47-plants-09-01612" class="html-bibr">47</a>]. The orange circle highlights the highly conserved region. The conserved region is represented by a sequence logo (prepared in WebLogo [<a href="#B48-plants-09-01612" class="html-bibr">48</a>]).</p>
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<p>Maximum-likelihood tree of <span class="html-italic">SbSlp1</span> homologs in viridiplantae. <span class="html-italic">Cylindrotheca fusiformis</span> silaffin precursor protein (<span class="html-italic">sil1p, AF191634</span>) gene was used as an outgroup. The sequences were aligned by MUSCLE in MEGA X and exported to IQ-Tree. The tree was generated using substitution model VT + F + G4 as a model of rate heterogeneity and Ultrafast Bootstrap with 1000 replicates. The bold IDs show those genes which have no repeat sequences. The bars on the tree nodes represent the frequencies of the amino acids. Orange = Clad 1; subclad (i) = monocot subclad containing H, D-rich, P, K, E-rich, and P, T, Y-rich domains, subclad (ii) = <span class="html-italic">SbSlp1</span> homologs in known Si accumulators, light blue = Clad 2, and grey = Clad 3.</p>
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<p>Silica precipitation potential of AA repeats in <span class="html-italic">SbSlp1</span>, <span class="html-italic">Cucsa.381820</span>, <span class="html-italic">Glyma.09G092700</span>, and <span class="html-italic">At4g38770</span>. (<b>a</b>) Energy barrier for Si(OH)<sub>3</sub>O<sup>−</sup> tetramer formation (∆G kJ mol<sup>−1</sup>), (<b>b</b>) predicted rate of precipitation nmol of Si/nmol of peptide, and the interaction of (<b>c</b>) <span class="html-italic">SbSlp1</span>, (<b>d</b>) <span class="html-italic">Cucsa.381820</span>, <span class="html-italic">Glyma.09G092700</span>, and <span class="html-italic">At4g38770</span> peptides with silicic acid to form Si(OH)<sub>3</sub>O<sup>−</sup> tetramer. The first panel of the figures <b>c</b>–<b>f</b> shows normal sequences and the second panels show the peptides where K was replaced with A. The letter “m” before the genes names in panels <b>a</b>,<b>b</b> represents the modified peptides.</p>
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<p>Digital gene expression of selected (<b>a</b>) channel type SIT, (<b>b</b>) Lsi2, and (<b>c</b>) Slp1 genes in rice, soybean, and tomato. The scale for each gene represents the Fragments Per Kilobase of transcript per Million mapped reads. Data analysis and graphical presentation was made by using ‘eFP browser’ of BAR tools (The Bio–Analytic Resource for Plant Biology, <a href="http://bar.utoronto.ca/" target="_blank">http://bar.utoronto.ca/</a>).</p>
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<p>Monocot (rice) and dicot (soybean) gene coexpression networks of (<b>a</b>) channel type SITs, (<b>b</b>) Lsi2s, and (<b>c</b>) putative <span class="html-italic">Slp1s</span>. The solid edges show duplication while the dotted edges show speciation. The genes with the same shape and color belong to the same gene family and/or have pfam domains in common. Node borders indicate the phylostratum of the gene i.e., green (green plants), red (land plants), light blue (vascular plants), orange (monocot/dicots), brown (rosids/brassicales/malvids), and black (genus-specific phylostratum). The key on the right shows the gene family. The detail on the genes in the network is given in <a href="#app1-plants-09-01612" class="html-app">Supplementary Table S4</a>.</p>
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15 pages, 661 KiB  
Article
Variability in the Content of Phenolic Compounds in Plum Fruit
by Mindaugas Liaudanskas, Rugilė Okulevičiūtė, Juozas Lanauskas, Darius Kviklys, Kristina Zymonė, Tamara Rendyuk, Vaidotas Žvikas, Nobertas Uselis and Valdimaras Janulis
Plants 2020, 9(11), 1611; https://doi.org/10.3390/plants9111611 - 20 Nov 2020
Cited by 23 | Viewed by 3068
Abstract
The aim of this study was to determine the composition and content of phenolic compounds in extracts of plum fruit. Fruit of 17 plum cultivars were analyzed. Fruit samples were collected in 2019 from fruit trees with “Myrobalan” (P. cerasifera Ehrh.) and [...] Read more.
The aim of this study was to determine the composition and content of phenolic compounds in extracts of plum fruit. Fruit of 17 plum cultivars were analyzed. Fruit samples were collected in 2019 from fruit trees with “Myrobalan” (P. cerasifera Ehrh.) and “Wangenheim Prune” (P. domestica L.) rootstocks. The following glycosides of the flavonol group were identified: avicularin, isorhamnetin-3-O-rutinoside, isoquercitrin, hyperoside, rutin, and an aglycone quercetin. Compounds of the flavan-3-ol group were identified, such as (+)-catechin, procyanidin C1, and procyanidin A2, along with chlorogenic acid attributed to phenolic acids and a non-phenolic cyclitol–quinic acid. Of all the analytes identified in plum fruit samples, quinic acid predominated, while chlorogenic acid predominated among all the identified phenolic compounds, and rutin predominated in the flavonol group. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) revealed that fruit samples of “Kubanskaya Kometa”, “Zarechnaya Raniaya”, “Duke of Edinburgh”, “Jubileum”, and “Favorita del Sultano” cultivars had different quantitative content of phenolic compounds from that observed in other samples. The highest total amount of phenolic compounds was found in the European plum samples of the “Zarechnaya Rannyaya” cultivar, while the amount of quinic acid was the highest in plum fruit samples of the “Jubileum” cultivar. Full article
(This article belongs to the Special Issue Natural Resources of Berry and Medicinal Plants)
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Figure 1
<p>The dendrogram of hierarchical cluster analysis (HCA) of plum fruit samples based on the phytochemical composition and mean values of contents of the identified compounds (μg/g DW) of plum cultivar fruit groups extracted using HCA. 1—“Myrobalan” (<span class="html-italic">P. cerasifera</span> Ehrh.) rootstock; 2—“Wangenheim Prune” (<span class="html-italic">P. domestica</span> L.) rootstock.</p>
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<p>PCA loading (<b>A</b>,<b>B</b>) and score (<b>C</b>,<b>D</b>) plots of plum fruit samples of different cultivars.</p>
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16 pages, 2788 KiB  
Article
Biomolecule from Trigonella stellata from Saudi Flora to Suppress Osteoporosis via Osteostromal Regulations
by Hairul-Islam Mohamed Ibrahim, Hossam M. Darrag, Mohammed Refdan Alhajhoj and Hany Ezzat Khalil
Plants 2020, 9(11), 1610; https://doi.org/10.3390/plants9111610 - 20 Nov 2020
Cited by 16 | Viewed by 3550
Abstract
Trigonella stellata has used in folk medicine as palatable and nutraceutical herb. It also regulates hypocholesterolemia, hypoglycemia, and has showed anti-inflammatory activities as well as antioxidants efficacy. Osteoporosis is a one of bone metabolic disorders and is continuously increasing worldwide. In the present [...] Read more.
Trigonella stellata has used in folk medicine as palatable and nutraceutical herb. It also regulates hypocholesterolemia, hypoglycemia, and has showed anti-inflammatory activities as well as antioxidants efficacy. Osteoporosis is a one of bone metabolic disorders and is continuously increasing worldwide. In the present study, caffeic acid was isolated from Trigonella stellata and identified using 1 D- and 2 D-NMR spectroscopic data. Caffeic acid was investigated on osteoblast and osteoclast in vitro using mice bone marrow-derived mesenchymal cells. Caffeic acid played reciprocal proliferation between osteoblast and osteoclast cells and accelerated the bone mineralization. It was confirmed by cytotoxicity, alkaline phosphatase (ALP), alizarin red S (ARS), and Tartrate resistant acid phosphatase (TRAP) assay. Caffeic acid regulated the osteogenic marker and upregulated the osteopontin, osteocalcin, and bone morphogenic proteins (BMP). Quantitative real time PCR and Western blot were used to quantify the mRNA and protein markers. It also regulated the matrix metalloprotease-2 (MMP-2) and cathepsin-K proteolytic markers in osteoclast cells. In addition, caffeic acid inhibited bone resorption in osteoclast cells. On the other hand, it upregulate osteoblast differentiation through stimulation of extracellular calcium concentrations osteoblast differentiation, respectively. The results also were confirmed through in silico docking of caffeic acid against cathepsin-B and cathepsin-K markers. These findings revealed that caffeic acid has a potential role in bone-metabolic disorder through its multifaceted effects on osteoblast and osteoclast regulations and controls osteoporosis. Full article
(This article belongs to the Special Issue Structural and Functional Analysis of Extracts in Plants)
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Figure 1
<p>Structure of caffeic acid (CAF) isolated from <span class="html-italic">T. stellata</span> (<b>A</b>). HPLC chromatogram of SubFr. 2-4-4-1 (<b>B</b>). HPLC chromatogram of collected pure CAF (<b>C</b>).</p>
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<p>In vitro cytotoxic evaluation of <span class="html-italic">T. stellata</span> crude extract (TCE) and its metabolites. (<b>A</b>) The osteostromal cells were isolated from murine bone marrow and osteogenic characters were induced. The osteogenic cells were further analyzed for cytotoxic effect against <span class="html-italic">T. stellata</span> crude extract. The concentration tested from 10 μM to 500 μM. The crude extract was treated with osteogenic cells for 72 h and evaluate the cell viability using MTT reagent. (<b>B</b>) The major metabolites caffeic acid (CAF) was treated with osteogenic cells in concentration of 1.0 μM to 50 μM for 7 days and 14 days cultured cells. (<b>C</b>) Alkaline phosphatase-specific activity. (<b>D</b>) Total protein content. Bars represent the mean ± SD (<span class="html-italic">n</span> = 4). Statistical results are shown as * <span class="html-italic">p</span> &lt; 0.05, Values compared between the PBS group with CAF at different concentrations.</p>
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<p>The differentiation and in vitro mineralization of osteoblast was evaluated at CAF treated conditions. (<b>A</b>) Representative macroscopic (<b>B</b>) Microscopic observation of alizarin red S (ARS) (<b>C</b>) ARS quantification for osteoblastic Differentiation at CAF treated conditions. (<b>D</b>) Cytokines estimation at 7th day of CAF treated osteoblastic cells. TNF-α and IL-10 were estimation using ELISA kits. Bars represent the mean ± SD (<span class="html-italic">n</span> = 4). Statistical results are shown as * <span class="html-italic">p</span> &lt; 0.05. Values compared between the PBS group with CAF at different concentrations.</p>
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<p>Effect of CAF on bone markers in osteoblast cell organization. (<b>A</b>) Cytokines estimation at 7th day of CAF treated osteoblastic cells. TNF-α and IL-10 were estimation using ELISA kits. (<b>B</b>) Effect of CAF on the protein expression of bone markers such as cathepsin-B (Cath-B), osteopontin (Opn), steocalcin (Ocn) and Bone morphogenic protein-2 (BMP-2). Protein expression were measured by Western blot analysis. (<b>C</b>–<b>F</b>) mRNA expression of bone markers on CAF treated osteoblastic cells and it was quantified by quantitative real time PCR was normalized to β-actin. (<b>C</b>) mRNA expression of cathepsin B, (<b>D</b>) mRNA expression of osteopontin, (<b>E</b>) mRNA expression of osteocalcin and (<b>F</b>) mRNA expression of BMP-2 marker, respectively. Bars represent the mean ± SD (<span class="html-italic">n</span> = 4). Statistical results are shown as * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of CAF on receptor activator of nuclear factor kappa-B ligand (RANKL)-induced osteoclast differentiation in mesenchymal cells. Bone-marrow derived mesenchymal stem cells (BM-MSCs) were cultured with vehicle or CAF (5 and 10 µM) in the presence RANKL (100 ng/mL) for 7 days. (<b>A</b>) Cultured cells tested against CAF treatment and analysed the cell viability. Cell viability of BM-MSCs was determined using the XTT assay (<b>B</b>) The estimation of Tartrate resistant acid phosphatase (TRAP) activity at 450 nm. (<b>C</b>) Cell differentiation effect was quantified on two intervals from 7 days to 10 days of incubation with CAF treatment. (<b>D</b>) RANKL induced osteoclast cells were treated with CAF and estimate the DAPI positive cells to confirm apoptotic induction as well as nuclear organization by fluorescence. Nuclei were stained by DAPI (blues signal). The area of DNA damage and nuclear organization was measured using ImageJ software. (<b>E</b>) Quantification of mRNA expression osteoclastic markers in CAF treated osteoclast cells using quantitative RT-PCR. The markers are TRAP, matrixmettalloprotease-9 (MMP-9), cathepsin-K (Cath-K). (<b>F</b>) Quantification of protein expression in osteoclastic cells treated with CAF using Immunoblot methods. The markers are TRAP, matrixmettalloprotease-9 (MMP-9), cathepsin-K (Cath-K). Bars represent the mean ± SD (<span class="html-italic">n</span> = 4). Statistical results are shown as * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>In silico interaction of caffeic acid (CAF) with cathepsin family receptor molecules. Docked orientation of (<b>A</b>) CAF (CID_637511), (<b>B</b>–<b>D</b>) 3D structure of cathepsin-K (PDB ID: 6QLM), hydrogen bonds between CAF with cathepsin-K, binding pocket of cathepsin-K. (<b>E</b>–<b>G</b>) 3D structure of Cathepsin-B (PDB ID:3AI8), hydrogen bonds between CAF with cathepsin-B, binding pocket of cathepsin B with CAF complex. Docking analysis was performed using Autodock tools (ADT) and Autodock v4.2 software.</p>
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15 pages, 1714 KiB  
Article
Mechanisms of Antidiabetic Activity of Methanolic Extract of Punica granatum Leaves in Nicotinamide/Streptozotocin-Induced Type 2 Diabetes in Rats
by Shinu Pottathil, Parminder Nain, Mohamed A. Morsy, Jaspreet Kaur, Bandar E. Al-Dhubiab, Sandhya Jaiswal and Anroop B. Nair
Plants 2020, 9(11), 1609; https://doi.org/10.3390/plants9111609 - 19 Nov 2020
Cited by 37 | Viewed by 6603
Abstract
The current study aimed to establish the mechanisms of antidiabetic activity of methanolic extract of Punica granatum leaves (MEPGL) in nicotinamide/streptozotocin-induced type 2 diabetes in rats. Phytochemical screening, HPLC analysis, and acute toxicity study of MEPGL were carried out. Various concentrations of MEPGL [...] Read more.
The current study aimed to establish the mechanisms of antidiabetic activity of methanolic extract of Punica granatum leaves (MEPGL) in nicotinamide/streptozotocin-induced type 2 diabetes in rats. Phytochemical screening, HPLC analysis, and acute toxicity study of MEPGL were carried out. Various concentrations of MEPGL (100, 200, 400, and 600 mg/kg) were administered orally to diabetic rats for 45 days on a daily basis. The antidiabetic effect of MEPGL was examined by measuring blood glucose, plasma insulin, and glycated hemoglobin (HbA1c) levels, as well as with an oral glucose tolerance test. The antioxidant effect of MEPGL was determined by analyzing hepatic and renal antioxidant markers, namely superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), reduced glutathione (GSH), and lipid peroxidation. The other biochemical markers alanine transaminase (ALT), aspartate transaminase (AST), alkaline phosphatase (ALP), urea, and creatinine, as well as total cholesterol, triglycerides, and high-density lipoprotein (HDL) were also studied. Type 2 diabetes significantly altered these parameters, while oral administration of the MEPGL significantly ameliorated them. Moreover, the pancreatic histopathological changes were attenuated with MEPGL treatment. In a nutshell, oral MEPGL administration in diabetic rats showed antidiabetic activity due to its antioxidant activity, most probably due to the gallic acid, ellagic acid, and apigenin found in MEPGL. Full article
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Graphical abstract

Graphical abstract
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<p>A comparison of the sample chromatogram of methanolic extract of Punica granatum leaves (upper panel) with the chromatogram of sample spiked with standard solutions of gallic acid, ellagic acid, and apigenin (lower panel).</p>
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<p>Effect of methanolic extract of Punica granatum leaves (600 mg/kg) on oral glucose tolerance test in nicotinamide/streptozotocin-induced type 2 diabetes in rats. Data are given as mean ± SEM (<span class="html-italic">n</span> = 6). <sup>a</sup> Significant (<span class="html-italic">p</span> &lt; 0.05) difference compared to the diabetic group.</p>
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<p>Light microscopic examination of pancreatic tissue (stained by hematoxylin and eosin stain) obtained from various experimental groups. (<b>A</b>): Normal group showing normal appearance of the pancreas; (<b>B</b>): Diabetic group revealed pathological changes in parenchymal cells of pancreatic tissue; (<b>C</b>): Diabetic rats treated with glibenclamide displaying restoration of the general architecture; and (<b>D</b>): Diabetic rats treated with Punica granatum (600 mg/kg) showing nearly normal architecture of pancreas.</p>
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16 pages, 2312 KiB  
Article
Physiological Integration Increases Sexual Reproductive Performance of the Rhizomatous Grass Hierochloe glabra
by Jian Guo, Haiyan Li and Yunfei Yang
Plants 2020, 9(11), 1608; https://doi.org/10.3390/plants9111608 - 19 Nov 2020
Cited by 6 | Viewed by 2291
Abstract
Clonal plants usually reproduce asexually through vegetative propagation and sexually by producing seeds. Physiological integration, the translocation of essential resources between ramets, usually improves vegetative reproduction. However, how physiological integration affects sexual reproduction has been less studied in clonal grasses. Here, we chose [...] Read more.
Clonal plants usually reproduce asexually through vegetative propagation and sexually by producing seeds. Physiological integration, the translocation of essential resources between ramets, usually improves vegetative reproduction. However, how physiological integration affects sexual reproduction has been less studied in clonal grasses. Here, we chose Hierochloe glabra, a major early spring forage of the eastern Eurasian steppe, and conducted a series of field experiments, including sampling reproductive ramets connected by tillering nodes to different numbers of vegetative ramets and 15N leaf labeling of ramet pairs at the seed-filling stage. In the natural populations of H. glabra, vegetative ramets were taller, had more and larger leaves, and greater biomass than reproductive ramets. Except for reproductive ramet biomass, sexual reproductive characteristics significantly increased with an increase in the number and biomass of vegetative ramets connected to tillering nodes. 15N labeling showed that vegetative ramets supplied nutrients to reproductive ramets through tillering nodes. Overall, our results indicate that significant differences in morphological characteristics and biomass allocation underlie resources translocation from vegetative ramets towards reproductive ramets. Physiological integration between different functional ramets can increase sexual reproductive performance, which will be beneficial to population persistence in H. glabra. Full article
(This article belongs to the Section Plant Ecology)
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Figure 1
<p>Effects of the number of vegetative ramets connected to tillering nodes on sexual reproductive characteristics (seed number, (<b>A</b>); floret number, (<b>B</b>); seed-setting rate, (<b>C</b>); seed biomass, (<b>D</b>); panicle biomass, (<b>E</b>); ramet biomass, (<b>F</b>)) in the natural populations of <span class="html-italic">Hierochloe glabra</span> over two consecutive years (data are represented as the means ± standard errors, <span class="html-italic">n</span> = 25). Different lowercase letters indicate significant differences among different numbers of vegetative ramets (<span class="html-italic">p</span> &lt; 0.05); ns represents that there is no significant difference between different numbers of connecting vegetative ramets (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Relationships between sexual reproductive characteristics (seed number, (<b>A</b>); floret number, (<b>B</b>); seed-setting rate, (<b>C</b>); seed biomass, (<b>D</b>); panicle biomass, (<b>E</b>); ramet biomass, (<b>F</b>)) and leaf biomass of vegetative ramets connected to tillering nodes in the natural populations of <span class="html-italic">Hierochloe glabra</span> over two consecutive years. The colored lines represent fitting lines in 2018 (<span class="html-italic">n</span> = 75) and 2019 (<span class="html-italic">n</span> = 100).</p>
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<p>Relationships between sexual reproductive characteristics (seed number, (<b>A</b>); floret number, (<b>B</b>); seed-setting rate, (<b>C</b>); seed biomass, (<b>D</b>); panicle biomass, (<b>E</b>); ramet biomass, (<b>F</b>)) and total biomass of vegetative ramets connected to tillering nodes in the natural populations of <span class="html-italic">Hierochloe glabra</span> over two consecutive years. The colored lines represent fitting lines in 2018 (<span class="html-italic">n</span> = 75) and 2019 (<span class="html-italic">n</span> = 100).</p>
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<p>Comparison of the leaf <span class="html-italic">δ</span><sup>15</sup>N, stem <span class="html-italic">δ</span><sup>15</sup>N, and panicle <span class="html-italic">δ</span><sup>15</sup>N of reproductive ramets between the control and <sup>15</sup>N labeling treatments in the natural populations of <span class="html-italic">Hierochloe glabra</span> (data are represented as the means ± standard errors, <span class="html-italic">n</span> = 5). ***, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Schematic of the experiment design. (<b>A</b>) Schematic representation of the tagging manipulation at the early heading stage of <span class="html-italic">Hierochloe glabra</span> (the Arabic numerals represent the number of vegetative ramets connected to the reproductive ramet by tillering nodes. In each gradient, the panicle top of the reproductive ramet reaches approximately 2 cm over the flag leaf sheath). (<b>B</b>) Schematic representation of the stable-isotope (<sup>15</sup>N) labeling experimental design at the seed-filling stage of <span class="html-italic">Hierochloe glabra</span>. Each ramet pair consists of one reproductive ramet and one vegetative ramet connected by a tillering node.</p>
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25 pages, 6450 KiB  
Article
Gene Mapping, Genome-Wide Transcriptome Analysis, and WGCNA Reveals the Molecular Mechanism for Triggering Programmed Cell Death in Rice Mutant pir1
by Xinyu Chen, Qiong Mei, Weifang Liang, Jia Sun, Xuming Wang, Jie Zhou, Junmin Wang, Yuhang Zhou, Bingsong Zheng, Yong Yang and Jianping Chen
Plants 2020, 9(11), 1607; https://doi.org/10.3390/plants9111607 - 19 Nov 2020
Cited by 13 | Viewed by 4392
Abstract
Programmed cell death (PCD) is involved in plant growth and development and in resistance to biotic and abiotic stress. To understand the molecular mechanism that triggers PCD, phenotypic and physiological analysis was conducted using the first three leaves of mutant rice PCD-induced-resistance 1( [...] Read more.
Programmed cell death (PCD) is involved in plant growth and development and in resistance to biotic and abiotic stress. To understand the molecular mechanism that triggers PCD, phenotypic and physiological analysis was conducted using the first three leaves of mutant rice PCD-induced-resistance 1(pir1) and its wild-type ZJ22. The 2nd and 3rd leaves of pir1 had a lesion mimic phenotype, which was shown to be an expression of PCD induced by H2O2-accumulation. The PIR1 gene was mapped in a 498 kb-interval between the molecular markers RM3321 and RM3616 on chromosome 5, and further analysis suggested that the PCD phenotype of pir1 is controlled by a novel gene for rice PCD. By comparing the mutant with wild type rice, 1679, 6019, and 4500 differentially expressed genes (DEGs) were identified in the three leaf positions, respectively. KEGG analysis revealed that DEGs were most highly enriched in phenylpropanoid biosynthesis, alpha-linolenic acid metabolism, and brassinosteroid biosynthesis. In addition, conjoint analysis of transcriptome data by weighted gene co-expression network analysis (WGCNA) showed that the turquoise module of the 18 identified modules may be related to PCD. There are close interactions or indirect cross-regulations between the differential genes that are significantly enriched in the phenylpropanoid biosynthesis pathway and the hormone biosynthesis pathway in this module, which indicates that these genes may respond to and trigger PCD. Full article
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Figure 1
<p>Comparison of agronomic traits between wild type ZJ22 and mutant PCD-induced-resistance 1 (<span class="html-italic">pir1</span>). (<b>a</b>) Plant height; (<b>b</b>) fresh weight; (<b>c</b>) dry weight; (<b>d</b>) growth period. Values are means ± SD of 15 plants, ** indicated significant differences at <span class="html-italic">p</span> &lt; 0.01 determined by t-tests.</p>
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<p>Comparison of the phenotypes of wild type ZJ22 and mutant <span class="html-italic">pir1</span>. (<b>a</b>,<b>c</b>) Whole plants at five-leaf (<b>a</b>) or adult (<b>c</b>) stages: left, ZJ22, and right, <span class="html-italic">pir1</span>. White scale bar = 5 cm. (<b>b</b>,<b>d</b>) Leaf phenotype at five-leaf (<b>b</b>) or adult (<b>d</b>) stages: the three leaves on the left represent the flag leaf, the 2nd leaf (from the top) and the 3rd leaf of ZJ22; the three leaves on the right represent the flag leaf, the 2nd leaf, and the 3rd leaf of <span class="html-italic">pir1</span>. Black scale bar = 2 cm.</p>
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<p>Trypan Blue (TB) staining on the leaves of ZJ22 and <span class="html-italic">pir1</span> sampled at the five-leaf stage. Each set of images represents (from left to right), the flag, 2nd and 3rd leaves of ZJ22, and then the flag, 2nd and 3rd leaves of <span class="html-italic">pir1</span>. (<b>a</b>) Leaf phenotype; red scale bar = 0.2 cm. (<b>b</b>) Cell morphology; black scale bar = 50 μm. (<b>c</b>) Magnified cell morphology; green scale bar = 10 μm.</p>
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<p>Diaminobenzidine (DAB) staining on the leaves of ZJ22 and <span class="html-italic">pir1</span> sampled at the five-leaf stage. Each set of images represents (from left to right), the flag, 2nd and 3rd leaves of ZJ22, and then the flag, 2nd and 3rd leaves of <span class="html-italic">pir1</span>. (<b>a</b>) Leaf phenotype; red scale bar = 0.2 cm. (<b>b</b>) Cell morphology; black scale bar = 50 μm. (<b>c</b>) Magnified cell morphology; green scale bar = 10 μm.</p>
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<p>Mapping of the <span class="html-italic">PIR1</span> gene. <span class="html-italic">PIR1</span> locus was firstly mapped in the interval between markers RM6972 and RM26 on chromosome 5 and was further delimited to the interval between markers RM3321 and RM3616 by enlarging the mapping population from one of 109 individuals to 1006 individuals. The number of recombinants is indicated.</p>
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<p>Analysis of differential gene expression in all pairwise comparisons. (<b>a</b>) The number of up-and down-regulated differentially expressed genes (DEGs). (<b>b</b>) Gene expression levels in volcano plots.</p>
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<p>Summary of the distribution and number of DEGs in the three ontology classes, molecular function, cellular component, and biological process.</p>
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<p>KEGG enrichments of the annotated DEGs. The left <span class="html-italic">Y</span>-axis indicates the KEGG pathway, and the <span class="html-italic">X</span>-axis indicates the rich factor. A high q-value is represented by blue, and a low q-value by red color. The rich factor is the ratio of the number of DEGs mapped to a certain pathway to the total number of genes mapped to this pathway.</p>
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<p>Sample expression pattern and Expression profile. (<b>a</b>) Heat map showing the sample expression patterns in the modules. (<b>b</b>) The expression profile of all the co-expressed genes in module turquoise. The color scale represents the <span class="html-italic">Z</span>-score. The bar graph shows the consensus expression pattern of the corresponding co-expressed genes in this module.</p>
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<p>Function enrichment analysis of module turquoise gene. (<b>a</b>) Gene Ontology (GO) enrichment of module turquoise gene. (<b>b</b>) KEGG pathway enrichment of module turquoise gene.</p>
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<p>Co-expression regulatory network analysis of module turquoise.</p>
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<p>The expression profiles obtained by qRT-PCR and the results of RNA-Seq analysis showing that the two sets of data are well correlated. Results are the means ± standard error of three replications.</p>
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<p>The putative working model for triggering programmed cell death (PCD).</p>
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11 pages, 2166 KiB  
Communication
The Discovery of the Rare Chara baueri (Charales, Charophyceae) in Serbia
by Ivana Trbojević, Vanja Milovanović and Gordana Subakov Simić
Plants 2020, 9(11), 1606; https://doi.org/10.3390/plants9111606 - 19 Nov 2020
Cited by 7 | Viewed by 3371
Abstract
Chara baueri is one of the rarest charophytes worldwide. It had been considered extinct in Europe for more than a century, from the 1870s to 2006, when it was rediscovered in Germany. The current distribution of this species is limited to a few [...] Read more.
Chara baueri is one of the rarest charophytes worldwide. It had been considered extinct in Europe for more than a century, from the 1870s to 2006, when it was rediscovered in Germany. The current distribution of this species is limited to a few localities in Europe (Germany, Poland and Russia), and one locality in Asia (Kazakhstan). We present a new finding of Chara baueri, to be a significant contribution to the species ecology and biogeography, and helping to review and update the current scarce knowledge. Chara baueri was discovered in Serbia and monitored for two vegetative seasons in 2018 and 2019, along with the associated macrophyte vegetation and water quality parameters. The morphology and ecology data of the species are presented comparatively with the literature data and the biogeography is critically reviewed. The population in Serbia is the first verified record of Chara baueri in southern Europe. Considering the recent findings and the knowledge accumulated in these records, Chara baueri was very possibly never extinct at all, but overlooked in Europe for the entire 20th century. We suggest that waterfowl migrating from the northern parts of Europe should be considered as the important spreading agent of Chara baueri in southern regions. Full article
(This article belongs to the Special Issue Macrophytes in Inland Waters: From Knowledge to Management)
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<p>Macro habitus, scale 5 cm.</p>
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<p>Microscopic taxonomic features: (<b>a</b>) Gametangia, (<b>b</b>) terminal corona on the branchlet terminal segment, (<b>c</b>) triplostichous, isostichous cortex, (<b>d</b>) cortex detail showing irregular structure, scale 200 µm.</p>
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<p>Distribution of <span class="html-italic">C. baueri</span> across Eurasian continent: Red circles—recent findings, new discovery or rediscovery. Black circles—reliable historical findings. Empty black circles—historical records which could not be confirmed or verified.</p>
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<p>Study area and sampling localities.</p>
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15 pages, 2480 KiB  
Article
Insights into Comparative Genomics, Codon Usage Bias, and Phylogenetic Relationship of Species from Biebersteiniaceae and Nitrariaceae Based on Complete Chloroplast Genomes
by Xiaofeng Chi, Faqi Zhang, Qi Dong and Shilong Chen
Plants 2020, 9(11), 1605; https://doi.org/10.3390/plants9111605 - 18 Nov 2020
Cited by 23 | Viewed by 3822
Abstract
Biebersteiniaceae and Nitrariaceae, two small families, were classified in Sapindales recently. Taxonomic and phylogenetic relationships within Sapindales are still poorly resolved and controversial. In current study, we compared the chloroplast genomes of five species (Biebersteinia heterostemon, Peganum harmala, Nitraria roborowskii, Nitraria sibirica, [...] Read more.
Biebersteiniaceae and Nitrariaceae, two small families, were classified in Sapindales recently. Taxonomic and phylogenetic relationships within Sapindales are still poorly resolved and controversial. In current study, we compared the chloroplast genomes of five species (Biebersteinia heterostemon, Peganum harmala, Nitraria roborowskii, Nitraria sibirica, and Nitraria tangutorum) from Biebersteiniaceae and Nitrariaceae. High similarity was detected in the gene order, content and orientation of the five chloroplast genomes; 13 highly variable regions were identified among the five species. An accelerated substitution rate was found in the protein-coding genes, especially clpP. The effective number of codons (ENC), parity rule 2 (PR2), and neutrality plots together revealed that the codon usage bias is affected by mutation and selection. The phylogenetic analysis strongly supported (Nitrariaceae (Biebersteiniaceae + The Rest)) relationships in Sapindales. Our findings can provide useful information for analyzing phylogeny and molecular evolution within Biebersteiniaceae and Nitrariaceae. Full article
(This article belongs to the Special Issue Plant Evolution, Systematics, and Chloroplast Genome)
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<p>Comparison of five chloroplast genomes using the mVISTA alignment program with <span class="html-italic">N. roborowskii</span> as a reference. The <span class="html-italic">x</span>-axis represents the coordinates in the chloroplast genome. The <span class="html-italic">y</span>-axis indicates the average percent identity of sequence similarity in the aligned regions, ranging between 50% and 100%. Genome regions are color coded as protein coding, rRNA coding, tRNA coding, or conserved noncoding sequences (CNS).</p>
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<p>Nonsynonymous (<span class="html-italic">d<sub>N</sub></span>) and synonymous (<span class="html-italic">d<sub>S</sub></span>) substitution rates in the 74 protein-coding genes among the five species. (<b>A</b>): Nonsynonymous (<span class="html-italic">d<sub>N</sub></span>) substitution rates in the 74 protein-coding genes; (<b>B</b>): Synonymous (<span class="html-italic">d<sub>S</sub></span>) substitution rates in the 74 protein-coding genes; (<b>C</b>): <span class="html-italic">d<sub>N</sub></span>/<span class="html-italic">d<sub>S</sub></span> ratio of the 74 protein-coding genes; (<b>D</b>): Phylograms of the five species’ substitution rates based on 74 protein-coding genes.</p>
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<p>Effective number of codons (EN<sub>C</sub>) analysis of each coding gene against GC<sub>3S</sub>.</p>
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<p>Heat map of relative synonymous codon usage (RSCU) values among the five species.</p>
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<p>The parity rule 2 (PR2) bias plots (A<sub>3</sub>/(A<sub>3</sub> + T<sub>3</sub>) against G<sub>3</sub>/(G<sub>3</sub>+ C<sub>3</sub>)).</p>
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<p>Neutrality plot (GC<sub>12</sub> against GC<sub>3</sub>).</p>
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<p>The phylogenetic relationships within Sapindales resolved by 67 protein-coding genes. Numbers associated with the branches are maximum likelihood (ML) bootstrap value (BS) and Bayesian inference (BI) posterior probabilities (PP). Nodes without numbers are supported by 100/100.</p>
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12 pages, 2670 KiB  
Article
LHCSR3-Type NPQ Prevents Photoinhibition and Slowed Growth under Fluctuating Light in Chlamydomonas reinhardtii
by Thomas Roach
Plants 2020, 9(11), 1604; https://doi.org/10.3390/plants9111604 - 18 Nov 2020
Cited by 6 | Viewed by 2793
Abstract
Natural light intensities can rise several orders of magnitude over subsecond time spans, posing a major challenge for photosynthesis. Fluctuating light tolerance in the green alga Chlamydomonas reinhardtii requires alternative electron pathways, but the role of nonphotochemical quenching (NPQ) is not known. Here, [...] Read more.
Natural light intensities can rise several orders of magnitude over subsecond time spans, posing a major challenge for photosynthesis. Fluctuating light tolerance in the green alga Chlamydomonas reinhardtii requires alternative electron pathways, but the role of nonphotochemical quenching (NPQ) is not known. Here, fluctuating light (10 min actinic light followed by 10 min darkness) led to significant increase in NPQ/qE-related proteins, LHCSR1 and LHCSR3, relative to constant light of the same subsaturating or saturating intensity. Elevated levels of LHCSR1/3 increased the ability of cells to safely dissipate excess light energy to heat (i.e., qE-type NPQ) during dark to light transition, as measured with chlorophyll fluorescence. The low qE phenotype of the npq4 mutant, which is unable to produce LHCSR3, was abolished under fluctuating light, showing that LHCSR1 alone enables very high levels of qE. Photosystem (PS) levels were also affected by light treatments; constant light led to lower PsbA levels and Fv/Fm values, while fluctuating light led to lower PsaA and maximum P700+ levels, indicating that constant and fluctuating light induced PSII and PSI photoinhibition, respectively. Under fluctuating light, npq4 suffered more PSI photoinhibition and significantly slower growth rates than parental wild type, whereas npq1 and npq2 mutants affected in xanthophyll carotenoid compositions had identical growth under fluctuating and constant light. Overall, LHCSR3 rather than total qE capacity or zeaxanthin is shown to be important in C. reinhardtii in tolerating fluctuating light, potentially via preventing PSI photoinhibition. Full article
(This article belongs to the Special Issue High Light Stresses in Photosynthetic Organisms)
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<p>Phenotype of Light-Harvesting Complex (LHC)-like Stress-Related 1 (LHCSR3)-deficient <span class="html-italic">nqq4</span> relative to wild type (WT-4A) under photoautotrophic conditions on agar and either diurnal constant (12/12 h, on/off) or fluctuating (10/10 min, on/off) light treatments. Representative images of (<b>A</b>) colonies and (<b>B</b>) <span class="html-italic">F</span><sub>v</sub>/<span class="html-italic">F</span><sub>m</sub> and Y (non-photochemical quenching (NPQ)) after 8 day growth (starting dilution 1:10, see Materials and Methods) under diurnal/constant (Cons.) or fluctuating (Fluc.) light of 100 (upper) or 500 (lower) µmoL photons m<sup>−2</sup> s<sup>−1</sup>. Chlorophyll fluorescence parameters are given on a false-color scale shown below.</p>
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<p>Effect of either diurnal constant or fluctuating light treatments on (<b>A</b>) <span class="html-italic">F</span><sub>v</sub>/<span class="html-italic">F</span><sub>m</sub> and (<b>B</b>) Y(NPQ) values of photoautotrophic agar-grown cells. Colonies were cultured under 100 or 500 µmoL photons m<sup>−2</sup> s<sup>−1</sup>, of either diurnal constant (12/12 h on/off; black filled or black-outlined bars) or fluctuating light (10/10 min on/off, gray filled or gray-outlined bars). Wild type (WT-4A; open bars) and LHCSR3-deficient <span class="html-italic">npq4</span> (closed bars) are shown side by side (<span class="html-italic">n</span> = 4 replicate colonies ±SD). The <span class="html-italic">p</span>-values from two-way ANOVA are shown for comparisons of <span class="html-italic">npq4</span> to WT-4A for each light treatment when considering all differing initial culture dilutions together (<span class="html-italic">n</span> = 12 colonies).</p>
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<p>Effect of 500 µmoL photons m<sup>−2</sup> s<sup>−1</sup> fluctuating (10/10 min on/off) or constant (12/12 h on/off) light treatment on qE proteins and photosystem reaction center levels of photoautotrophic agar-grown cells. Levels of LHCSR1, LHCSR3, PsbA, and PsaA are shown, via Western blotting, in LHCSR3-deficient <span class="html-italic">npq4</span> and wild type (WT-4A) grown under constant (left) or fluctuating light (right). In this Figure, exactly the same sample from each treatment was loaded for all four blots. Loading controls for saturation are shown in <a href="#app1-plants-09-01604" class="html-app">Figure S2</a>.</p>
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<p>Effect of 500 µmoL photons m<sup>−2</sup> s<sup>−1</sup> fluctuating (10/10 min on/off) or constant (12/12 h on/off) light treatment on maximum light-induced P700<sup>+</sup> values of photoautotrophic agar-grown cells. Wild type (WT-4A; black) and LHCSR3-deficient <span class="html-italic">npq4</span> (gray) agar-grown cells were suspended in photoautotrophic media to a chlorophyll concentration of 30 µg mL<sup>−1</sup>, and P700<sup>+</sup> was recorded during a 200 ms saturating pulse, starting at 0 ms, with typical traces shown after averaging the three technical replicates of fluctuating light-treated cells. The inset shows average <span class="html-italic">P</span><sub>m</sub> values for <span class="html-italic">npq4</span> and WT under constant (filled) or fluctuating light (open), <span class="html-italic">n</span> = 4 replicate cultures ± SD, with different letters denoting significant difference, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Xanthophyll levels under fluctuating light and lack of influence of xanthophyll compositions on tolerance to fluctuating light. (<b>A</b>) Typical HPLC chromatograms showing the relative amounts of neoxanthin (Neo), violaxanthin (viol), antheraxanthin (anth), Lutein, and zeaxanthin (zea) of wild type (WT-4A) and <span class="html-italic">npq4</span> under 500 µmoL photons m<sup>−2</sup> s<sup>−1</sup> fluctuating light. The insets are an expansion of 2–5 min, with left WT-4A (blue) and <span class="html-italic">npq4</span> (red) and right zeaxanthin epoxidase-deficient (<span class="html-italic">npq1</span>; purple) and violaxanthin de-epoxidase-deficient (<span class="html-italic">npq2</span>; green) mutants. (<b>B</b>) Colonies of <span class="html-italic">npq1</span> and <span class="html-italic">npq2</span> are shown side by side after growth under constant (cons.) or fluctuating (fluc.) light at 100 (upper) or 500 (lower) µmoL photons m<sup>−2</sup> s<sup>−1</sup>. Chlorophyll fluorescence parameters, <span class="html-italic">F</span><sub>v</sub>/<span class="html-italic">F</span><sub>m</sub> and qE-NPQ are shown on a false-color scale (below).</p>
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16 pages, 4733 KiB  
Article
Ontogeny and Anatomy of the Dimorphic Pitchers of Nepenthes rafflesiana Jack
by Rachel Schwallier, Valeri van Wely, Mirna Baak, Rutger Vos, Bertie Joan van Heuven, Erik Smets, Rogier R. van Vugt and Barbara Gravendeel
Plants 2020, 9(11), 1603; https://doi.org/10.3390/plants9111603 - 18 Nov 2020
Cited by 6 | Viewed by 9973
Abstract
An enigmatic feature of tropical pitcher plants belonging to the genus Nepenthes is their dimorphic prey-capturing pitfall traps. In many species, the conspicuously shaped upper and lower pitchers grow from a swollen leaf tendril tip until finally opening as insect-alluring devices. Few have [...] Read more.
An enigmatic feature of tropical pitcher plants belonging to the genus Nepenthes is their dimorphic prey-capturing pitfall traps. In many species, the conspicuously shaped upper and lower pitchers grow from a swollen leaf tendril tip until finally opening as insect-alluring devices. Few have studied the ontogeny of these traps from an anatomical and quantitative morphological perspective. We investigated whether the anatomy and development of lower and upper type pitchers of N. rafflesiana differ or overlap in terms of 3D geometric morphology and microstructure progression and presence. We hypothesized that there is an overlap in the initial, but not all, developmental stages of the two pitcher types and that one pitcher type is suspended in development. We identified four important morphological changes of pitcher ontogeny and defined these as curvation, elongation, inflation and maturation phases. Pitcher length indicated progress through developmental phases, and we propose to use it as a tool for indication of developmental stage. Microstructure development coincided with the developmental phases defined. Additionally, we discovered a new anatomical feature of extrafloral nectariferous peristomal glands between the inner peristome ridges of upper and lower pitchers being hollow and analyze the chemistry of the sugars on the outside of these glands. Ontogenetic shape analysis indicated that upper and lower pitcher types develop with similar phase progression but have no directly overlapping morphology. This means that upper pitchers are not a derived state from lower pitchers. Independent developmental programs evolved to produce distinctly shaped upper and lower pitchers in Nepenthes, likely to exploit different food sources. Full article
(This article belongs to the Special Issue Plant Anatomy and Biochemistry)
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<p>Pitcher dimorphism in <span class="html-italic">Nepenthes rafflesiana:</span> (<b>A</b>) The swollen tendril tip, (<b>B</b>) lower pitcher and (<b>C</b>) upper pitcher. Schematic longitudinal sections of <span class="html-italic">Nepenthes</span> (<b>D</b>) lower (left) and upper (right) pitcher, indicating (i) peristome, (ii) waxy glands, and (iii) digestive glands. Scale bar for (<b>A)</b>–(<b>C</b>) = 40 mm; scale bar for (<b>D</b>) = 1 cm. Photographs (<b>A</b>),(<b>B</b>) by Valeri van Wely, (<b>C</b>) by Rogier van Vugt. Illustration made by Esmée Winkel.</p>
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<p>Peristomal gland development of lower <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase—formation of peristome starts, glands absent. (<b>B</b>) Elongation phase—ridges clear, glands start developing at inner peristome. (<b>C</b>) Inflation phase—peristomal gland depressed in pits as peristomal teeth develop around them. (<b>D</b>) Maturation phase—Peristomal glands completely sunken into pits, flanked by fully developed peristomal teeth. (<b>A)</b>,(<b>B</b>) Scale bar = 20 µm and (<b>C)</b>,(<b>D</b>) scale bar = 100 µm.</p>
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<p>Peristomal gland development of upper <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase—formation of peristome and glands. (<b>B</b>) Elongation phase—ridges and peristomal teeth clear, glands pitted in peristome. (<b>C</b>) Inflation phase—peristomal gland depressed in pits. (<b>D</b>) Maturation phase (photo from inside pitcher). Scale bar = 100 µm.</p>
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<p>Light microscopic images of peristomal glands and vascular tissue from a mature <span class="html-italic">Nepenthes rafflesiana</span> pitcher. (<b>A</b>) Glands are present at the bottom of the pits between the peristomal teeth. (<b>B</b>) Cross sections through these glands show a hollow cavity (arrows) within peristomal glands. (<b>C</b>) Vascular tissue (arrowheads) in proximity to the deepest point of the peristomal glands. (<b>D</b>) Directly behind the glands, vascular tissue is also present. (<b>E</b>) Peristomal gland (oblique section). (<b>F</b>) Vascular tissue present in the outer arm of the peristome. (<b>G</b>) Second type of gland, from the underside of the outer arm of the peristome. (<b>H</b>) Fragments of collapsed cell. (<b>A</b>–<b>D</b>): Cross sections, (<b>E</b>–<b>H</b>): Longitudinal sections.</p>
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<p>Digestive gland development of lower <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase—small hump of cells visible. (<b>B</b>) Elongation phase—final size of gland reached and actively secreting. (<b>C</b>) Inflation phase—surrounding tissue changes, differentiates and envelops gland, which is even further exaggerated (<b>D</b>) higher on the pitcher. (<b>E</b>) Maturation phase—glands sunken into depression, and even further enveloped (<b>F</b>) higher up the pitcher. Scale bar = 10 µm.</p>
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<p>Digestive gland development of upper <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase—faint cell formation visible. (<b>B</b>) Elongation phase—gland maximum size reached and slightly enveloped. (<b>C</b>) Inflation phase—gland more depressed into pit and enveloped considerably (<b>D</b>) higher up the pitcher. (<b>E</b>) Maturation phase—gland enveloped and even more so (<b>F</b>) higher up the pitcher. Scale bar = 10 µm.</p>
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<p>Waxy layer progression and lunate cell development of lower <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase and (<b>B</b>) Elongation phase—lunate cells and waxy layer completely absent. (<b>C</b>) Inflation phase—lunate cells present and wax crystals on surface. (<b>D</b>) Mature phase—significantly waxed surface completely covering the now wider lunate cells and surrounding tissue. Scale bar = 10 µm.</p>
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<p>Waxy layer progression and lunate cell development of upper <span class="html-italic">Nepenthes rafflesiana</span> pitchers. (<b>A</b>) Curvation phase and (<b>B</b>) Elongation phase—lunate cells and waxy layer absent. (<b>C</b>) Inflation phase—lunate cell begins to develop, no wax yet present. (<b>D</b>) Maturation phase—defined lunate cells and wax present. Scale bar = 10 µm.</p>
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<p>Principal component results for the developmental series of <span class="html-italic">Nepenthes rafflesiana</span> upper (left side series in cool colors) and lower (right side series in warm colors) pitchers. Principal component (PC) 1 and 2 separate pitchers from different developmental phases. PC1 accounts for 70.9% of the variance, mainly based on wing length, tendril curvation and pitcher depth. PC2 describes 14.9% of the variance, mainly based on pitcher width.</p>
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<p>(<b>A</b>) Three-dimensional models of <span class="html-italic">N. rafflesiana</span> pitchers from all developmental phases and their landmarked coordinates used for morphometric analysis. Lower pitchers of (<b>A</b>) Curvation phase, (<b>B</b>) Elongation phase, (<b>C</b>) Inflation phase, and (<b>D</b>) Maturation phase. Upper pitchers (<b>E</b>–<b>H</b>) are presented with corresponding phases.</p>
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17 pages, 1756 KiB  
Review
Verticillium Wilt of Mint in the United States of America
by Jeremiah K. S. Dung
Plants 2020, 9(11), 1602; https://doi.org/10.3390/plants9111602 - 18 Nov 2020
Cited by 7 | Viewed by 3805
Abstract
Verticillium wilt, caused by the fungus Verticillium dahliae, is the most important and destructive disease of mint (Mentha spp.) in the United States (U.S.). The disease was first observed in commercial mint fields in the Midwestern U.S. in the 1920s and, by [...] Read more.
Verticillium wilt, caused by the fungus Verticillium dahliae, is the most important and destructive disease of mint (Mentha spp.) in the United States (U.S.). The disease was first observed in commercial mint fields in the Midwestern U.S. in the 1920s and, by the 1950s, was present in mint producing regions of the U.S. Pacific Northwest. Verticillium wilt continues to be a major limiting factor in commercial peppermint (Mentha x piperita) and Scotch spearmint (Mentha x gracilis) production, two of the most important sources of mint oil in the U.S. The perennial aspect of U.S. mint production, coupled with the soilborne, polyetic nature of V. dahliae, makes controlling Verticillium wilt in mint a challenge. Studies investigating the biology and genetics of the fungus, the molecular mechanisms of virulence and resistance, and the role of soil microbiota in modulating host-pathogen interactions are needed to improve our understanding of Verticillium wilt epidemiology and inform novel disease management strategies. This review will discuss the history and importance of Verticillium wilt in commercial U.S. mint production, as well as provide a format to highlight past and recent research advances in an effort to better understand and manage the disease. Full article
(This article belongs to the Special Issue Management of Verticillium Wilt Disease)
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<p>(<b>A</b>) Twisted, curled, and crescent-shaped leaves of peppermint and (<b>B</b>) Scotch spearmint. (<b>C</b>) Verticillium wilt can cause severe stunting in susceptible cultivars.</p>
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<p>(<b>A</b>) Chlorosis and (<b>B</b>) anthocyanescence in peppermint caused by Verticillium wilt. (<b>C</b>) Verticillium wilt symptoms on an individual peppermint plant and (<b>D</b>) in the field. (<b>E</b>) The disease can result in bare patches in fields and (<b>F</b>) are often more pronounced at field entry points.</p>
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14 pages, 1828 KiB  
Article
DNA-Based Authentication and Metabolomics Analysis of Medicinal Plants Samples by DNA Barcoding and Ultra-High-Performance Liquid Chromatography/Triple Quadrupole Mass Spectrometry (UHPLC-MS)
by Marta Sánchez, Elena González-Burgos, Pradeep Kumar Divakar and M. Pilar Gómez-Serranillos
Plants 2020, 9(11), 1601; https://doi.org/10.3390/plants9111601 - 18 Nov 2020
Cited by 19 | Viewed by 3543
Abstract
There is growing interest for medicinal plants in the world drug market. Particularly, Matricaria recutita L., Valeriana officinalis L., Tilia spp., and Camellia sinensis (L.) Kuntze are some of the most consumed medicinal plants for treatment of minor health problems. Medicinal plants are [...] Read more.
There is growing interest for medicinal plants in the world drug market. Particularly, Matricaria recutita L., Valeriana officinalis L., Tilia spp., and Camellia sinensis (L.) Kuntze are some of the most consumed medicinal plants for treatment of minor health problems. Medicinal plants are seen as natural and safe; however, they can cause interactions and produce adverse reactions. Moreover, there is lack of consensus in medicinal plants regulation worldwide. DNA barcoding and UHPLC-MS technique are increasingly used to correctly identify medicinal plants and guarantee their quality and therapeutic safety. We analyzed 33 samples of valerian, linden, tea, and chamomile acquired in pharmacies, supermarkets, and herbal shops by DNA barcoding and UHPLC-MS. DNA barcoding, using matk as a barcode marker, revealed that CH1 sold as Camellia sinensis was Blepharocalyx tweediei, and sample TS2 sold as linden belong to Malvales. On the other hand, UHPLC-MS analysis revealed the presence of bioactive compounds (apigenin-7-glucoside, acetoxy valerenic acid, valerenic acid, epigallocatechin, and tiliroside). However, none of samples met minimum content of these active principles (except for valerenic acid in VF3) according to the European Medicines Agency (EMA) and Real Spanish Pharmacopeia. In conclusion, this study revealed the need to incorporate DNA barcoding and HPLC-MS techniques in quality controls of medicinal plants. Full article
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<p>DNA-sequence-based identification of the analyzed medicinal plants marked samples.</p>
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<p>Representative UHPLC-ESI-QqQ-MS/MS chromatograms for (<b>A</b>) acetoxyvalerenic and valerenic acids presented in valerian samples, (<b>B</b>) epigallocatechin presented in tea samples, (<b>C</b>) apigenin presented in chamomile, and (<b>D</b>) tiliroside presented in linden.</p>
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<p>Representative UHPLC-ESI-QqQ-MS/MS chromatograms for (<b>A</b>) acetoxyvalerenic and valerenic acids presented in valerian samples, (<b>B</b>) epigallocatechin presented in tea samples, (<b>C</b>) apigenin presented in chamomile, and (<b>D</b>) tiliroside presented in linden.</p>
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18 pages, 849 KiB  
Article
Floristic Changes in the Understory Vegetation of Mixed Temperate New England Freshwater Island Forests over a Period of 33 Years
by Marjorie M. Holland and Mark Winkler
Plants 2020, 9(11), 1600; https://doi.org/10.3390/plants9111600 - 18 Nov 2020
Cited by 1 | Viewed by 2382
Abstract
During a 33-year sampling period, we observed species richness and calculated species evenness and Shannon Diversity for understory woody seedlings and herbaceous species on three small islands in Lake Winnipesaukee, New Hampshire, and noted consistency of dominant plant species over time. Seedlings and [...] Read more.
During a 33-year sampling period, we observed species richness and calculated species evenness and Shannon Diversity for understory woody seedlings and herbaceous species on three small islands in Lake Winnipesaukee, New Hampshire, and noted consistency of dominant plant species over time. Seedlings and herbaceous species were recorded and measured in 25 permanent plots that were created on the three islands in 1978. The understory species data were compiled by frequency and dominance of woody seedlings and herbaceous species. Data from 250 individual quadrats show that species richness more than doubled from 41 in 1978 to 83 species on all three islands in 2011. Species evenness on all the islands remained relatively constant in each of the four samplings. The combined Shannon’s Diversity for the three islands rose from 2.76 in 1978 to 3.37 in 2011. Dominant species in the study were Aralia nudicaulis, Gaultheria procumbens, Gaylussacia baccata, Maianthemum canadense, and Tsuga canadensis seedlings. Full article
(This article belongs to the Section Plant Ecology)
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<p>Map of the study area in northeastern Lake Winnipesaukee and location of the study sites (shown in black-shading) in New Hampshire, USA [<a href="#B3-plants-09-01600" class="html-bibr">3</a>].</p>
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<p>Understory dominant species by importance for all four sampling years. Values represented by percentages of the total importance value of all nine species for three islands.</p>
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19 pages, 3846 KiB  
Article
Disruption of Very-Long-Chain-Fatty Acid Synthesis Has an Impact on the Dynamics of Cellulose Synthase in Arabidopsis thaliana
by Xiaoyu Zhu, Frédérique Tellier, Ying Gu and Shundai Li
Plants 2020, 9(11), 1599; https://doi.org/10.3390/plants9111599 - 18 Nov 2020
Cited by 5 | Viewed by 2956
Abstract
In higher plants, cellulose is synthesized by membrane-spanning large protein complexes named cellulose synthase complexes (CSCs). In this study, the Arabidopsis PASTICCINO2 (PAS2) was identified as an interacting partner of cellulose synthases. PAS2 was previously characterized as the plant 3-hydroxy-acyl-CoA dehydratase, an ER [...] Read more.
In higher plants, cellulose is synthesized by membrane-spanning large protein complexes named cellulose synthase complexes (CSCs). In this study, the Arabidopsis PASTICCINO2 (PAS2) was identified as an interacting partner of cellulose synthases. PAS2 was previously characterized as the plant 3-hydroxy-acyl-CoA dehydratase, an ER membrane-localized dehydratase that is essential for very-long-chain-fatty acid (VLCFA) elongation. The pas2-1 mutants show defective cell elongation and reduction in cellulose content in both etiolated hypocotyls and light-grown roots. Although disruption of VLCFA synthesis by a genetic alteration had a reduction in VLCFA in both etiolated hypocotyls and light-grown roots, it had a differential effect on cellulose content in the two systems, suggesting the threshold level of VLCFA for efficient cellulose synthesis may be different in the two biological systems. pas2-1 had a reduction in both CSC delivery rate and CSC velocity at the PM in etiolated hypocotyls. Interestingly, Golgi but not post-Golgi endomembrane structures exhibited a severe defect in motility. Experiments using pharmacological perturbation of VLCFA content in etiolated hypocotyls strongly indicate a novel function of PAS2 in the regulation of CSC and Golgi motility. Through a combination of genetic, biochemical and cell biology studies, our study demonstrated that PAS2 as a multifunction protein has an important role in the regulation of cellulose biosynthesis in Arabidopsis hypocotyl. Full article
(This article belongs to the Special Issue Structure and Function of Plant Cell Wall)
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Figure 1

Figure 1
<p>PAS2 interacts with multiple primary CESAs. (<b>A</b>) Split Ubiquitin yeast two hybrid analysis shows positive interactions between PAS2 and both CESA3 and CESA6. Interactions were selected on Leu (L), Trp (W), Ala (A) and His (H)-dropout medium. 5-Bromo-4-chloro-3-indolyl-β-D-galactopyranoside (X-Gal) was added for the detection of β-galactopyranoside activity. Cub vector alone serves as a negative control for NubG-PAS2. NubWT and NubG vectors serve as positive and negative controls, respectively, for CESA-Cub. (<b>B</b>) In vitro pull-down assay showing that PAS2 protein interacts with the central domains (CD) of CESA1 and CESA3. Both GST-CESA1CD and GST-CESA3CD co-precipitated with His-PAS2. Empty GST beads were used as negative controls that did not pull down His-PAS2. (<b>C</b>) Schematic graphs showing domain structure of PAS2. Black squares represent putative transmembrane domains. Blue box highlights the tyrosine phosphatase-like domain and red arrows represent the position of dehydratase’s catalytic residue Y156 and E163. (<b>D</b>) All three PAS2 truncations interact with the central domain of CESA1. GST-CESA1CD co-precipitated with all three truncated proteins tagged by His; Empty GST beads were used as negative controls.</p>
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<p>Phenotypic comparisons and cellulose content among wild-type (Col-0), <span class="html-italic">pas2-1</span>, GFP-PAS2<sup>Y156A</sup>, GFP-PAS2 and GFP-PAS2* seedlings. (<b>A</b>) Images of 4-day-old dark-grown seedlings. Bar = 1 cm. (<b>B</b>) Quantification of the length of 4-day-old etiolated hypocotyls. ** <span class="html-italic">p</span> &lt; 0.001, *** <span class="html-italic">p</span> &lt; 0.0001 (n ≈ 50 per transgenic line). Error bars represent SD. (<b>C</b>) Cellulose content of 4-day-old dark-grown seedlings. *** <span class="html-italic">p</span> &lt; 0.0001. Error bars represent SD. (<b>D</b>) Images of 7-day-old light-grown seedlings. Bar = 1 cm. (<b>E</b>) Quantification of the root length. *** <span class="html-italic">p</span> &lt; 0.0001 (n ≈ 50 per transgenic line). Error bars represent SD. (<b>F</b>) Cellulose content of 15-day-old dark-grown seedling roots. *** <span class="html-italic">p</span> &lt; 0.0001. Error bars represent SD.</p>
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<p>The <span class="html-italic">pas2-1</span> mutant has altered cellulose synthase dynamics. (<b>A</b>) Single-frame and time-averaged images from a 5-min time series (see “Materials and Methods”) of epidermal cell in etiolated seedlings show the plasma membrane-localized GFP-CESA3 particles in the <span class="html-italic">je5</span> and <span class="html-italic">je5 pas2-1</span> mutant background. Bar = 5 μM. (<b>B</b>) A histogram showing the distribution of GFP-CESA3 particle velocities. The mean velocity of GFP-CESA3 is 376.36 ± 55.35 nm/min (<span class="html-italic">n</span> = 114, 9 cells) in <span class="html-italic">je5</span> and 123.35 ± 79.89 nm/min (<span class="html-italic">n</span> = 228, 23 cells) in <span class="html-italic">je5 pas2-1</span>, respectively. (<b>C</b>) Kymographs displaying CESA3 particle movement from a single track in the averaged images. (<b>D</b>) Representative images displaying the plasma membrane CSCs before, 5 s after and 5 min after photo bleaching. FRAP was performed in the control (GFP-CESA3 in <span class="html-italic">je5</span>) etiolated seedlings and in <span class="html-italic">pas2-1</span> mutants (GFP-CESA3 in <span class="html-italic">je5 pas2-1</span>). White boxes mark the bleached area. Bar = 5 μM. (<b>E</b>) Quantifications of the delivery rate of CSCs from the FRAP assay described in D. **** <span class="html-italic">p</span> &lt; 0.0001 (<span class="html-italic">n</span> = 26 ROIs from 5 seedlings for <span class="html-italic">je5</span>; <span class="html-italic">n</span> = 31 ROIs from 7 etiolated seedlings for <span class="html-italic">je5 pas2-1</span>). (<b>F</b>) A graph of the average density of plasma membrane-localized GFP-CESA3 particles. * <span class="html-italic">p</span> &lt; 0.01 (<span class="html-italic">n</span> = 8 cells from 5 seedlings for <span class="html-italic">je5</span> and 17 cells from 9 seedlings for <span class="html-italic">je5 pas2-1</span>). Error bars represent SD.</p>
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<p>The <span class="html-italic">pas2-1</span> mutant specifically disrupts the Golgi motility, which was rescued by <span class="html-italic">pPAS2::</span>GFP-<span class="html-italic">PAS2<sup>Y156A</sup></span>. (<b>A</b>) Analysis of Golgi motility in control (Col-0) and <span class="html-italic">pas2-1</span> seedlings. (<b>B</b>) Analysis of Golgi motility in <span class="html-italic">pas2-1</span> seedlings transformed with <span class="html-italic">pPAS2::</span>GFP-<span class="html-italic">PAS2<sup>Y156A</sup></span>. A representative image and tracking analysis were shown (<span class="html-italic">n</span> = 30 per genotype). A series of single-frame images was taken to show the locations of mCherry-SYP32 and GFP-PAS2<sup>Y156A</sup> labeled particles at multiple time points. Arrows indicate the location of one representative particle. Tracks indicate the trajectories of all particles (marked by circles) within 20 s. Different colors represent for different particles been tracked. Bar = 5 μM.</p>
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<p>Both disruption of PAS2′s dehydratase activity and pharmacological inhibition lead to VLCFA depletion in hypocotyls and roots. (<b>A</b>) A schematic graph showing the position of two point mutations <span class="html-italic">PAS2<sup>Y156A</sup></span> (left) and <span class="html-italic">PAS2<sup>E163A</sup></span> (right), indicated by arrows. (<b>B</b>) Fatty acid methyl esters (FAMES) analysis of hypocotyls of 4-day-old etiolated seedlings and roots of 15-day-old light-grown seedlings. The <span class="html-italic">pPAS2::</span>GFP-<span class="html-italic">PAS2<sup>Y156A</sup></span> plants showed differential extend of VLCFA decrease in hypocotyls and in roots; and 75nM Flu treatment mimicked the VLCFA pool in the <span class="html-italic">pas2-1</span> mutants, characterized by reduction in VLCFA content and increased short chain fatty acid portion. Moreover, the Flu treatment caused more severe depletion of VLCFA in the hypocotyls, comparing to <span class="html-italic">pPAS2::</span>GFP-<span class="html-italic">PAS2<sup>Y156A</sup></span> seedlings.</p>
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<p>General VLCFA synthesis defect does not influence the functionality of the cellulose synthesis machinery. (<b>A</b>) Application of 75 nM Flu reduced the hypocotyl length of etiolated seedlings. 4-day-old dark-grown wild type (Col-0) seedlings grown on ½ MS medium (Control) or ½ MS medium containing 75 nM Flu or comparable amount of DMF (Mock). (<b>B</b>) Quantification of hypocotyl length of seedlings from the drug treatment analysis. *** <span class="html-italic">p</span> &lt; 0.0001 (<span class="html-italic">n</span> ≈ 50 per experimental group). (<b>C</b>) Crystalline cellulose production was not affected following Flu treatment. Cellulose content of 3-day-old seedlings grown on ½ MS medium, ½ MS medium containing 75 nM Flu or comparable amount of DMF. Error bars represent SD. *** <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) A histogram showing the distribution of GFP-CESA3 particle velocities. The mean velocity of plasma membrane GFP-CESA3 for control, Mock and Flu groups were 319.59 ± 83.93 nm/min (<span class="html-italic">n</span> = 258, 14 cells from 6 seedlings), 318.21 ± 92.41 nm/min (<span class="html-italic">n</span> = 328, 16 cells from 7 seedlings) and 295.89 ± 79.00 (<span class="html-italic">n</span> = 127, 8 cells from 5 seedlings), respectively.</p>
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<p>We observed that PAS2 localizes in Golgi and associates with CSCs in Golgi in our GFP-PAS2 transgenic line. (<b>A</b>) Image of 4-day-old dark-grown seedlings of wild type (Col-0), <span class="html-italic">pas2-1</span> and <span class="html-italic">pPAS2::GFP-PAS2</span> in <span class="html-italic">pas2-1</span> mutant background; <span class="html-italic">pPAS2::GFP-PAS2</span> was able to complement the <span class="html-italic">pas2-1</span> mutant phenotype. Bar = 0.5 cm. (<b>B</b>,<b>C</b>) Representative single-frame images show colocalization between GFP-PAS2 and two Golgi markers, mCherry-SYP32 and mCherry-Got1p, in the epidermal cells of etiolated hypocotyls. Manual particle selection was used to enhance the detection of colocalized particles. Green, magenta and white arrowheads denote GFP-, mCherry- and GFP-/mCherry- overlapped foci, respectively. Bars = 5 μm. (<b>D</b>) PAS2 associates with CSCs in Golgi. Representative single-frame images show colocalization between GFP-PAS2 and Golgi-localized mCherry-CESA3. Green, magenta and white arrowheads denote GFP-PAS2, mCherry-CESA3 and GFP-PAS2/mCherry-CESA3 overlapped foci, respectively. Bar = 5 μm. (<b>E</b>) PAS2 does not co-localize with the plasma membrane localized CSCs. A cross section of an epidermal cell from the etiolated <span class="html-italic">Arabidopsis</span> hypocotyl is displayed. mCherry-CESA3 signal localizes both at the plasma membrane and in intracellular space, representing plasma membrane-localized and intracellular CSCs; while GFP-PAS2 signal is absent from the mCherry-CESA3 decorated plasma membrane. Bar = 5 μm.</p>
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<p>Comparison between the GFP-PAS2 transgenic line generated in this study (GFP-PAS2) and that generated by Bach et.al (GFP-PAS2*). (<b>A</b>). Schematic graphs showing two different GFP-fusion constructs of PAS2. (<b>B</b>). FAMES analysis of 4-day-old etiolated hypocotyls and the roots of 15-day-old light-grown seedlings. Both GFP-PAS2 and GFP-PAS2* seedlings have comparable VLCFA deposition to wild-type seedlings in etiolated hypocotyls, while showed decreased VLCFA (C22:0, C24:0, C24:1) content in roots. Error bars represent SD.</p>
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13 pages, 757 KiB  
Article
Responses of Upland Cotton (Gossypium hirsutum L.) Lines to Irrigated and Rainfed Conditions of Texas High Plains
by Addissu. G. Ayele, Jane K. Dever, Carol M. Kelly, Monica Sheehan, Valerie Morgan and Paxton Payton
Plants 2020, 9(11), 1598; https://doi.org/10.3390/plants9111598 - 18 Nov 2020
Cited by 6 | Viewed by 2539
Abstract
Understanding drought stress responses and the identification of phenotypic traits associated with drought are key factors in breeding for sustainable cotton production in limited irrigation water of semi-arid environments. The objective of this study was to evaluate the responses of upland cotton lines [...] Read more.
Understanding drought stress responses and the identification of phenotypic traits associated with drought are key factors in breeding for sustainable cotton production in limited irrigation water of semi-arid environments. The objective of this study was to evaluate the responses of upland cotton lines to rainfed and irrigated conditions. We compared selected agronomic traits over time, final yield and fiber quality of cotton lines grown in irrigated and rainfed trials. Under rainfed conditions, the average number of squares per plant sharply declined during weeks 10 to 14 while the average number of bolls per plant significantly reduced during weeks 13 to 15 after planting. Therefore, weeks 10 to 14 and weeks 13 to 15 are critical plant growth stages to differentiate among upland cotton lines for square and boll set, respectively, under drought stress. Variation in square and boll set during this stage may translate into variable lint percent, lint yield and fiber properties under water-limited conditions. Lint yield and fiber quality were markedly affected under rainfed conditions in all cotton lines tested. Despite significantly reduced lint yield in rainfed trials, some cotton lines including 11-21-703S, 06-46-153P, CS 50, L23, FM 989 and DP 491 performed relatively well under stress compared to other cotton lines. The results also reveal that cotton lines show variable responses for fiber properties under irrigated and rainfed trials. Breeding line 12-8-103S produced long, uniform and strong fibers under both irrigated and rainfed conditions. The significant variation observed among cotton genotypes for agronomic characteristics, yield and fiber quality under rainfed conditions indicate potential to breed cotton for improved drought tolerance. Full article
(This article belongs to the Special Issue Responses of Plants to Environmental Stresses)
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Figure 1
<p>The average number of squares and bolls per plant distribution by week for upland cotton lines grown under irrigated and rainfed conditions. Data for agronomic traits were collected for nine consecutive weeks (weeks 7 to 15). Data averaged for three years, nine genotypes, and over four replications. Standard error (SE) bars were used to show the variations between irrigated and rainfed trials. Overlapping SE bars show no significant differences between irrigated and rainfed treatments.</p>
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<p>Variation in average number bolls per plant across weeks for upland cotton grown under irrigated and rainfed conditions. Wk., weeks; Irr., irrigated. Average number of bolls compared by subsampling of weeks 12 (Wk12) to weeks 15 (Wk15). Standard error (SE) bars were used to show the variations among genotypes in irrigated and rainfed trials. Overlapping SE bars show no differences between genotypes in irrigated and rainfed conditions.</p>
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