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10 pages, 2722 KiB  
Article
Deepening the Role of Pectin in the Tissue Assembly Process During Tomato Grafting
by Carlos Frey, Susana Saez-Aguayo, Antonio Encina and José Luis Acebes
Plants 2024, 13(24), 3519; https://doi.org/10.3390/plants13243519 (registering DOI) - 17 Dec 2024
Viewed by 205
Abstract
Cell walls play essential roles in cell recognition, tissue adhesion, and wound response. In particular, pectins as cell-adhesive agents are expected to play a key role in the early stages of grafting. To test this premise, this study focused on examining the dynamics [...] Read more.
Cell walls play essential roles in cell recognition, tissue adhesion, and wound response. In particular, pectins as cell-adhesive agents are expected to play a key role in the early stages of grafting. To test this premise, this study focused on examining the dynamics of the accumulation and degree of methyl-esterification of pectic polysaccharides at the graft junctions using tomato autografts as an experimental model. Monosaccharide analysis showed a marked increase in homogalacturonan from 25% to 32 or 34% at the junction zones early after grafting. In addition, a decrease in the degree of homogalacturonan methyl-esterification up to 38% in the scion and 64% in the rootstock was observed in the first few days after grafting, accompanied by an increase in pectin methyl-esterase activity of up to 20–30% in the tissues surrounding the graft junction. These results shed light on the role of homogalacturonan in grafting and reinforce the key function of pectin as one of the most relevant cell wall components during the grafting process. Full article
(This article belongs to the Section Plant Development and Morphogenesis)
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<p>Scheme of sampling and primary treatment of the samples. Note that scion and rootstock were processed separately.</p>
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<p>Total extracted monosaccharides of scion (<b>a</b>) and rootstock (<b>b</b>) after TFA hydrolysis of AIR throughout grafting. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Galacturonic acid (GalA) content of scion (<b>a</b>) and rootstock (<b>b</b>) throughout grafting after TFA hydrolysis of AIR and quantification by HPAEC-PAD. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Pectin methyl-esterase enzymatic activity (halo area, cm<sup>2</sup>) of scion (<b>a</b>) and rootstock (<b>b</b>) extracts throughout grafting. Different letters indicate significant differences regard 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Degree of methyl-esterification of scion (<b>a</b>) and rootstock (<b>b</b>) throughout grafting. The methanol release was estimated after AIR saponification by a colorimetric method. Different letters indicate significant differences regarding 0 DAG at the <span class="html-italic">p</span>-value ≤ 0.05 level after ANOVA followed by Tukey’s test. 0 DAG indicates non-grafted plants at the beginning of the experiment. Bars represent mean ± SD (<span class="html-italic">n</span> = 5). The legend “nf” means “non-functional” grafts.</p>
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<p>Schematic of the homogalacturonan-mediated cell wall adhesion hypothesis in plant grafts. Esterified homogalacturonan is transported de novo from the Golgi apparatus to the cell wall, where it is de-esterified by pectin methyl-esterase activity, which is expected to allow the formation of the ‘egg-box’ structure, which is assumed to confer special adhesive properties on the new graft cell wall interface. Made with BioRender and Inkscape v. 1.4.</p>
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14 pages, 4597 KiB  
Article
A Comprehensive Analysis of the Laccase Gene Family of Pinus densiflora Reveals a Functional Role of PdeLAC28 in Lignin Biosynthesis for Compression Wood Formation
by Tram Thi Thu Nguyen, Min-Ha Kim, Seung-Won Pyo, Hyun-A Jang, Hak-Jun Kim, Dong-Gwan Kim and Jae-Heung Ko
Forests 2024, 15(12), 2220; https://doi.org/10.3390/f15122220 - 16 Dec 2024
Viewed by 334
Abstract
In conifers, compression wood (CW) with a high lignin content forms at the base of the stem or branch in response to gravity, which is a good model system for studying lignin-rich wood formation. In this study, we identified and characterized the laccase [...] Read more.
In conifers, compression wood (CW) with a high lignin content forms at the base of the stem or branch in response to gravity, which is a good model system for studying lignin-rich wood formation. In this study, we identified and characterized the laccase gene family (PdeLAC) in Korean red pine (Pinus densiflora), which is integral to monolignol polymerization. Phylogenetic analysis of 54 PdeLAC genes with those from gymnosperms (i.e., Pinus taeda and Picea abies) and angiosperms (i.e., Populus trichocarpa, Arabidopsis thaliana, and Oryza sativa) revealed their categorization into five groups, highlighting distinct evolutionary relationships compared to angiosperms. Gene structure and motif analysis showed conserved copper-binding loops and variable substrate-binding loops, suggesting functional diversity. Expression profiling indicated that 23 PdeLAC genes, including three (PdeLAC28, PdeLAC1, and PdeLAC31) homologous to AtLAC17, were upregulated in developing xylem during the growing season, particularly in CW. Transgenic poplars overexpressing PdeLAC28 exhibited increased xylem area, cell wall thickness, and Klason lignin content, underscoring its role in lignin biosynthesis and CW formation. This study provides valuable insights into the molecular regulation of lignin biosynthesis in CW of P. densiflora, setting a foundation for advancing our understanding of wood formation mechanisms in gymnosperms. Full article
(This article belongs to the Section Genetics and Molecular Biology)
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<p>Phylogenetic analysis of laccase gene families from gymnosperms and angiosperms. The phylogenetic tree illustrates the evolutionary relationships among laccase genes from various plant species, including <span class="html-italic">Pinus densiflora</span> (54 genes, red dots), <span class="html-italic">Pinus taeda</span> (49 genes, cyan dots), <span class="html-italic">Picea abies</span> (44 genes, green dots), <span class="html-italic">Arabidopsis thaliana</span> (17 genes, yellow dots), <span class="html-italic">Populus trichocarpa</span> (53 genes, purple dots), and <span class="html-italic">Oryza sativa</span> (30 genes, orange dots). The laccase genes are grouped into seven major clades (groups 1–7), with an additional outgroup that is not included in the seven groups. The seven groups were classified based on the Arabidopsis laccase gene family. Amino acid sequences of each laccase gene family were aligned using the ClustalW program. The phylogenetic tree was created using the Neighbor-Joining method with bootstrap replication of 1000 times, conducted in MEGAX. Bootstrap values are indicated at the nodes, reflecting the support for each branch. Detailed gene annotations are provided in the <a href="#app1-forests-15-02220" class="html-app">Supplementary Materials, Table S2</a>.</p>
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<p>Gene structure and conserved motif analysis of <span class="html-italic">PdeLAC</span> genes. (<b>a</b>) Phylogenetic tree of 54 <span class="html-italic">PdeLAC</span> genes in <span class="html-italic">P. densiflora</span> constructed using the Neighbor-Joining method with 1000 bootstrap replications. Bootstrap values are indicated at the nodes. (<b>b</b>) Gene structure of <span class="html-italic">PdeLAC</span> genes showing the distribution of exons and introns. Blue boxes represent exons, and black lines represent introns. Most <span class="html-italic">PdeLAC</span> genes contain six exons, with exceptions such as <span class="html-italic">PdeLAC13</span>, <span class="html-italic">PdeLAC30</span>, and <span class="html-italic">PdeLAC47</span>. Gene structures were analyzed using the Gene Structure Display Server (GSDS 2.0). (<b>c</b>) Conserved motifs identified in the <span class="html-italic">PdeLAC</span> genes using MEME Suite 5.5.4. Each colored box represents a different conserved motif, numbered 1 to 10, across the laccase proteins. (<b>d</b>) Sequence logos of the 10 conserved motifs found in the <span class="html-italic">PdeLAC</span> genes (<b>c</b>), with their corresponding significance (E-value) and the number of genes (count). Signature copper-binding loops critical for laccase function are located in motifs 2, 3, 9, and 10. The Cu-binding His sites (H) are indicated by a red arrowhead. The electron transport motif (His-Cys-His; HCH) is marked by a black box.</p>
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<p>Tissue-specific and seasonal expression profiles of <span class="html-italic">PdeLAC</span> genes. Heat map illustrating the expression profiles of <span class="html-italic">PdeLAC</span> genes across various tissues and seasons. Expression levels are shown for different tissues, including young needles (YNs), shoot apical meristem (SAM), young cambium (YC), young developing xylem (YDX), mature cambium (MC), mature developing xylem (MDX), mature root (MR), and young whole stem (YWS). Seasonal expression levels are presented for compression wood (CW) and opposite wood (OW) during spring (SP), summer (SM), fall (FA), and winter (WN). The expression levels are represented as log2 (TPM + 1) and were clustered and visualized using MeV. Cells shaded in gray represent areas where data are not available. A total of 24 <span class="html-italic">PdeLAC</span> genes that are upregulated in both developing xylem and during the growing season (spring and summer) are marked by a red box, while three <span class="html-italic">PdeLAC</span> genes notably upregulated in CW during the growing season are highlighted by a blue box. Detailed gene expression data are provided in the <a href="#app1-forests-15-02220" class="html-app">Supplementary Materials, Table S2</a>.</p>
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<p>Seasonal expression analysis of <span class="html-italic">PdeLAC28</span>, <span class="html-italic">PdeLAC31</span>, and <span class="html-italic">PdeLAC1</span> in CW and OW. (<b>a</b>) Semi-quantitative RT-PCR analysis showing the expression levels of <span class="html-italic">PdeLAC28</span> (DN66137_c0_g1_i3), <span class="html-italic">PdeLAC31</span> (DN58818_c0_g3_i2), and <span class="html-italic">PdeLAC1</span> (DN58818_c0_g3_i6) in CW and OW during different seasons: spring (SP), summer (SM), fall (FA), and winter (WN). <span class="html-italic">PdeUBC11</span> (DN59720_c0_g1_i20) was used as a reference gene to ensure equal loading of RNA samples. (<b>b</b>) Quantitative real-time PCR (qRT-PCR) analysis and transcript per million (TPM) values from RNA-seq data (11) showing the relative transcript levels of <span class="html-italic">PdeLAC28</span>, <span class="html-italic">PdeLAC31</span>, and <span class="html-italic">PdeLAC1</span> in CW and OW during different seasons. Red bars represent qRT-PCR data, while blue bars represent TPM values. Error bars indicate standard deviations from three biological replicates.</p>
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<p>Transgenic poplars overexpressing <span class="html-italic">PdeLAC28</span> showed increased lignin content and enhanced xylem development. (<b>a</b>) Relative gene expression levels of <span class="html-italic">PdeLAC28</span> in transgenic poplar lines (#2, #5, #10, and #11) compared to the non-transgenic control (BH) measured by qRT-PCR using cDNA synthesized from total RNA extracted from leaf tissues. Error bars represent standard deviation (SD) (n = 3). (<b>b</b>) Representative images of stem cross-sections stained with Wiesner reagent and toluidine blue O (TBO) to visualize lignin deposition and cell wall structure in five-week-old BH and transgenic lines. Blue (Wiesner) and red (TBO) arrows indicate xylem area in transgenic lines and BH. Scale bars represent 50 μm. (<b>c</b>) Quantification of xylem area percentage in stem cross-sections of BH and transgenic lines. Error bars represent SD (n = 3). (<b>d</b>) Measurement of cell wall thickness in stem cross-sections of BH and transgenic lines. Error bars represent SD (n = 10). (<b>e</b>) Klason lignin content (%) in two-month-old BH and transgenic lines. Error bars represent SD (n = 3). Asterisks denote significant differences compared to BH (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001).</p>
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19 pages, 5510 KiB  
Article
pH and Pectinase Dual-Responsive Zinc Oxide Core-Shell Nanopesticide: Efficient Control of Sclerotinia Disease and Reduction of Environmental Risks
by Qiongmei Mai, Yu Lu, Qianyu Cai, Jianglong Hu, Yunyou Lv, Yonglan Yang, Liqiang Wang, Yuezhao Zhou and Jie Liu
Nanomaterials 2024, 14(24), 2022; https://doi.org/10.3390/nano14242022 - 16 Dec 2024
Viewed by 220
Abstract
Sclerotinia sclerotiorum is one of the fungi that cause plant diseases. It damages plants by secreting large amounts of oxalic acid and cell wall-degrading enzymes. To meet this challenge, we designed a new pH/enzyme dual-responsive nanopesticide Pro@ZnO@Pectin (PZP). This nanopesticide uses zinc oxide [...] Read more.
Sclerotinia sclerotiorum is one of the fungi that cause plant diseases. It damages plants by secreting large amounts of oxalic acid and cell wall-degrading enzymes. To meet this challenge, we designed a new pH/enzyme dual-responsive nanopesticide Pro@ZnO@Pectin (PZP). This nanopesticide uses zinc oxide (ZnO) as a carrier of prochloraz (Pro) and is encapsulated with pectin. When encountering oxalic acid released by Sclerotinia sclerotiorum, the acidic environment promotes the decomposition of ZnO; at the same time, the pectinase produced by Sclerotinia sclerotiorum can also decompose the outer pectin layer of PZP, thereby promoting the effective release of the active ingredient. Experimental data showed that PZP was able to achieve an efficient release rate of 57.25% and 68.46% when pectinase was added or under acidic conditions, respectively. In addition, in vitro tests showed that the antifungal effect of PZP was comparable to that of the commercial Pro (Pro SC) on the market, and its efficacy was 1.40 times and 1.32 times that of the Pro original drug (Pro TC), respectively. Crucially, the application of PZP significantly alleviated the detrimental impacts of Pro on wheat development. Soil wetting experiments have proved that PZP primarily remained in the soil, thereby decreasing its likelihood of contaminating water sources and reducing potential risks to non-target organisms. Moreover, PZP improved the foliar wettability of Pro, lowering the contact angle to 75.06°. Residue analyses indicated that PZP did not elevate prochloraz residue levels in tomato fruits compared to conventional applications, indicating that the nanopesticide formulation does not lead to excessive pesticide buildup. In summary, the nanopesticide PZP shows great promise for effectively managing Sclerotinia sclerotiorum while minimizing environmental impact. Full article
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<p>PZP nanoparticle characterization and pH-responsive release. (<b>A</b>) TEM images of ZnO nanospheres and (<b>B</b>) PZP. (<b>C</b>) TGA curves of ZnO, ZnO@Pectin, and PZP. (<b>D</b>) XPS spectrum of PZP. (<b>E</b>) UV/visible spectra of ZnO@Pectin and PZP. (<b>F</b>) UV/visible spectra of ZnO, Pro@ZnO, and pectin. (<b>G</b>) FT-IR spectra of Pro@ZnO, ZnO@Pectin, and PZP. (<b>H</b>) Zeta potential of ZnO, ZnO@Pectin, and PZP. (<b>I</b>) Nitrogen adsorption/desorption curves of ZnO. In vitro controlled response release experiment TEM images of PZP at different pH. (<b>J</b>) pH = 7.4, (<b>K</b>) pH = 5.4 (<b>L</b>) Controlled release of PZP in different pH solutions. TEM images of PZP in the presence and absence of pectinase (<b>M</b>) Without pectinase (<b>N</b>) With pectinase. (<b>O</b>) Pectinase-responsive controlled release of PZP.</p>
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<p>(<b>A</b>) pH changes of each treatment group containing 0.5% BB indicator after incubation with <span class="html-italic">Sclerotinia sclerotiorum</span> cake for 6 days. (<b>B</b>) pH of different components on precision pH test paper. (<b>C</b>) Precision pH test paper.</p>
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<p>In vitro fungicidal activity experiment. (<b>A</b>) Comparison of the bactericidal activity of Pro, PSC, and PZP against <span class="html-italic">Sclerotinia sclerotiorum</span> at different Pro doses with the control. (<b>B</b>) Quantification of colony diameter. (<b>C</b>) Inhibition rate. (<b>D</b>) Quantification of colony diameter increment at different incubation times. (<b>E</b>,<b>F</b>) Photos of paper diffusion test; the numbers represent the dosage of active ingredient Pro. (<b>G</b>) Inhibitory effect of different Pro doses on Sclerotinia sclerotiorum. (<b>H</b>,<b>L</b>) (<b>I</b>,<b>M</b>) (<b>J</b>,<b>N</b>) (<b>K</b>,<b>O</b>) Observation of the morphology of hyphae after incubation for 24 h with the control group, 50 μg/mL Pro group, 50 μg/mL PSC group, and 50 μg/mL PZP group under an upright microscope, respectively.</p>
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<p>Effect of PZP on wheat plants infected with Sclerotinia and biosafety of PZP. (<b>A</b>) Effects of different components (Water, Pro, PSC, and PZP) on wheat plants infected with Sclerotinia in the inhibition experiment. (<b>B</b>) Photos of wheat soaked in different concentrations of PZP suspensions and cultured for 1, 5, and 20 days. (<b>C</b>) Effects of different components (Water, Pro, PSC, and PZP) on isolated tomatoes infected with Sclerotinia in the inhibition experiment. (<b>D</b>) Germination rate of wheat soaked in different concentrations of PZP dispersions and cultured for 24 h. (<b>E</b>) Root length, (<b>F</b>) stem length, and (<b>G</b>) fresh weight/dry weight of wheat soaked in different concentrations of PZP dispersions and cultured for 20 days.</p>
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<p>Wettability of PZP, residues in tomatoes and mobility in soil. (<b>A</b>) Contact angles of different concentrations of prochloraz, PZP and ZnO@Pectin on leaves. (<b>B</b>) Changes in contact angles of the same concentration (400 μg/mL) of prochloraz, PZP and water on leaves from 0 to 7 min. (<b>C</b>) Concentration-dependent contact angle. (<b>D</b>) Time-dependent contact angle. (<b>E</b>) Schematic diagram of leaching experiment. (<b>F</b>) Schematic diagram of experimental process. (<b>G</b>) Leaching rate of Pro in different groups. (<b>H</b>) Maximum flux of Pro in different groups. (<b>I</b>) Schematic diagram of testing the residue of PZP on tomatoes. (<b>J</b>) After the same concentration of PZP and Pro solution dried on the surface of tomatoes, the content of Pro in the eluate was measured by rinsing and soaking the tomatoes. (<b>K</b>) Maximum residue of Pro on tomatoes of different components.</p>
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<p>Synthesis steps of PZP and its properties and response to controlled release fungicides to inhibit <span class="html-italic">Sclerotinia sclerotiorum</span>.</p>
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15 pages, 7845 KiB  
Article
Function and Expression Analysis on StFLA4 in Response to Drought Stress and Tuber Germination in Potato
by Hushuai Nie, Siqi Lu, Xiaojuan Wu, Peijie Wang, Nan Li, Yu Ma, Juan Wu and Yanhong Ma
Agronomy 2024, 14(12), 2988; https://doi.org/10.3390/agronomy14122988 - 15 Dec 2024
Viewed by 558
Abstract
Drought stress is one of the main factors limiting the high yield and quality of potatoes. Arabinogalactan proteins (AGPs) are an important class of glycoproteins widely present in the cell walls, plasma membranes, and extracellular matrices of higher plants. Among them, fasciclin-like arabinogalactan [...] Read more.
Drought stress is one of the main factors limiting the high yield and quality of potatoes. Arabinogalactan proteins (AGPs) are an important class of glycoproteins widely present in the cell walls, plasma membranes, and extracellular matrices of higher plants. Among them, fasciclin-like arabinogalactan proteins (FLAs) are involved in plant development, stress responses, and hormone signal regulation. However, little is known about the FLAs gene in potatoes. Based on transcriptome sequencing data, this study screened a drought stress-related candidate FLA gene (StFLA4) through bioinformatics and expression analysis in potatoes. qRT-PCR analysis showed that StFLA4 was induced by drought stress, and its expression decreased with the extension of stress time. Moreover, the relative expression level of StFLA4 in the drought-resistant variety “Kexin 1” was lower than in the drought-sensitive variety “Atlantic”. The StFLA4 protein was located in the cell membrane and interacted with nineteen proteins, mainly related to response to environmental stimulus, cellular response to abiotic stimulus, and cell maturation. After heterologous overexpression of StFLA4 in tobacco, the transgenic plants showed more withered leaves than the wild-type tobacco under drought stress. During the drought stress period, the expression level of StFLA4 in the transgenic plants significantly decreased, and the activity of SOD and POD was significantly lower than that of WT. However, the MDA content was higher than that of WT. These results indicated that StFLA4 negatively regulates the response to drought stress. In addition, in the germination test of potato “Variety V7” tubers, it was found that the variation tendency of StFLA4 expression was along with the concentration of arabinogalactan proteins, and it may participate in the regulation of potato tuber germination. This study lays the foundation for elucidating the function and expression pattern of StFLA4 response to drought stress and tuber germination in potatoes. Full article
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<p>The relative expression of the <span class="html-italic">StFLA4</span> gene in the different varieties. Note: “Atlantic” is a drought-sensitive variety, and “Kexin 1” is a drought-resistant variety. Different lowercase letters indicate significant differences at the 0.05 level, the same as below.</p>
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<p>Subcellular localization of the StFLA4 protein in tobacco leaf cells. Note: The pCAMBIA1302-EGFP construct was used as the positive control, and the pCAMBIA1302-StFLA4-EGFP construct was used for subcellular localization. RFP is the result of the simultaneous positive control of the nuclear and plasma membrane localization.</p>
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<p>Detection and phenotype analysis of transgenic tobacco plants. Note: (<b>A</b>): Relative expression levels of the StFLA4 gene in transgenic plants detected by qRT-PCR; (<b>B</b>): The phenotype of tobacco transgenic lines and CK after fifteen days of drought stress; (<b>C</b>): The phenotype of CK, OE2, and OE7 after fifteen days of drought stress.</p>
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<p>Analysis of drought resistance of transgenic tobacco. Note: (<b>A</b>): Expression levels of the StFLA4 gene in StFLA4-OE plants under normal and drought conditions; (<b>B</b>): Measurement of SOD activity in wild-type and transgenic plants under 7 d of drought; (<b>C</b>): Measurement of POD activity in wild-type and transgenic plants under 7 d of drought; (<b>D</b>): Determination of MDA content in wild-type and transgenic plants under 7 d of drought.</p>
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<p>Functional analysis of StFLA4. Notes: (<b>A</b>): Gene Ontology annotation of StFLA4; (<b>B</b>): Protein–protein interaction network of StFLA4; (<b>C</b>): GO annotation of proteins that interacted with StFLA4; (<b>D</b>): The expression pattern of proteins that interacted with StFLA4 during different tuber development stages in potato, S1: tuber formation stage; S2: tuber bulking stage; S3: tuber maturation stage; (<b>E</b>): The expression pattern of proteins which interacted with StFLA4 after drought stress, D6h: the potato after 6 h of drought stress treatment with 25% PEG-6000. (<b>F</b>): Gene expression analysis of StFLA4 and its interaction proteins in two drought-sensitive and two more tolerant European potato reference cultivars. Milva and Alegria are the two drought-sensitive cultivars; Desiree and Saturna are the two more tolerant cultivars. CK: control condition; D: drought-stressed condition; F4: potato plants experienced drought stress in the field experiments, and F4 was carried out in a rain-out shelter where drought stress was applied by stopping watering at the beginning of emergence. G3: potato plants experienced drought stress in the greenhouse; G3 represents the drought-stressed plants that received 30% of the amount given to the control plants from day 60 onwards.</p>
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<p>StFLA4 participates in the AGP biosynthesis and regulation of potato tuber germination. Note: (<b>A</b>): Germination of “Variety V7” potato block at different storage times; (<b>B</b>): Relative concentrations of AGPs in “Variety V7” potato block with different germination degrees; (<b>C</b>): Expression level of StFLA4 gene in potato tuber during germination. Data are mean ± standard error of three replicates. The U6 gene was used as an internal reference gene.</p>
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19 pages, 2143 KiB  
Article
Release of Biopolymers from Saccharomyces cerevisiae Biomass Through Thermal and Non-Thermal Technologies
by Marianna Ciccone, Muhammad Rehan Khan, Junior Bernardo Molina Hernandez, Joel Armando Njieukam, Lorenzo Siroli, Davide Gottardi, Rosalba Lanciotti, Pietro Rocculi and Francesca Patrignani
Microorganisms 2024, 12(12), 2596; https://doi.org/10.3390/microorganisms12122596 - 15 Dec 2024
Viewed by 673
Abstract
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields [...] Read more.
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields (PEFs), alone and with heat treatment (TT), on bakery yeast (BY) and brewery spent yeast (BSY) biomasses. In the treated samples we assessed carbohydrates, proteins, β-glucans, and mannoproteins and evaluated cell wall disruption microscopically. HPH caused complete cell disintegration, enhancing intracellular release, while PEF primarily permeabilised the membranes. Combined HPH and PEF treatments significantly increased cell wall stress, leading to partial disintegration. Notably, the β-glucans released reached 3.90 g/100 g dry matter in BY and 10.44 g/100 g dry matter in BSY, demonstrating significant extraction improvements. These findings highlight the potential of HPH and PEF for enhancing β-glucan recovery from yeast biomass, offering a promising route for sustainable biopolymer production for food packaging. Full article
(This article belongs to the Section Microbial Biotechnology)
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<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) Not treated sample of BY; (<b>B</b>) not treated sample of BSY; (<b>C</b>) HPH+TT sample of BY; (<b>D</b>) HPH+TT sample of BSY.</p>
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<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) PEF sample of BY; (<b>B</b>) PEF sample of BSY; (<b>C</b>) HPH+PEF sample of BY; (<b>D</b>) HPH+PEF sample of BSY.</p>
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<p>Concentration of carbohydrates (mg/mL) in the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Concentration of proteins (mg/mL) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>β-glucan content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). *: below the detection limit (1 g/100 g).</p>
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<p>Mannose content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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17 pages, 3081 KiB  
Article
The Induction of Disease Resistance by Scopolamine and the Application of Datura Extract Against Potato (Solanum tuberosum L.) Late Blight
by Zhiming Zhu, Shicheng Liu, Yi Liu, Xinze Zhang, Zhiwen Shi, Shuting Liu, Zhenglin Zhu and Pan Dong
Int. J. Mol. Sci. 2024, 25(24), 13442; https://doi.org/10.3390/ijms252413442 - 15 Dec 2024
Viewed by 338
Abstract
Late blight, caused by Phytophthora infestans, is a devastating disease of potato. Our previous work illustrated that scopolamine, the main bioactive substance of Datura extract, exerts direct inhibitory effects on P. infestans, but it is unclear whether scopolamine and Datura extract [...] Read more.
Late blight, caused by Phytophthora infestans, is a devastating disease of potato. Our previous work illustrated that scopolamine, the main bioactive substance of Datura extract, exerts direct inhibitory effects on P. infestans, but it is unclear whether scopolamine and Datura extract can boost resistance to late blight in potato. In this study, P. infestans is used to infect scopolamine-treated potato pieces and leaves, as well as whole potatoes. We found that scopolamine-treated potato is resistant to P. infestans both in vitro and in vivo. The treatment of 4.5 g/L scopolamine reduces the lesion size of whole potato to 54% compared with the control after 20 d of the infection of P. infestans. The disease-resistant substance detection based on the kit method shows that scopolamine triggers the upregulation of polyphenoloxidase, peroxidase, superoxide dismutase activities, and H2O2 contents in potato tubers, and the decline of phenylalanine ammonia lyase and catalase activity. A total of 1682 significantly differentially expressed genes were detected with or without scopolamine treatment through high-throughput transcriptome sequencing and the DESeq2 software (version 1.24.0), including 705 upregulated and 977 downregulated genes. Scopolamine may affect the genes functioning in the cell wall, membrane and the plant-pathogen interaction. The addition of Datura extract could directly inhibit the mycelial growth of P. infestans on rye plate medium. In addition, P. infestans was found to be resistant to late blight in potato pieces treated with Datura extract. Datura extract can also be utilized in combination with the chemical fungicide Infinito in field experiments to lessen late blight symptoms and enhance potato yield. To our knowledge, this is the first study to detect the induction of disease resistance by scopolamine, and it also explores the feasibility of Datura extract in potato disease resistance. Full article
(This article belongs to the Special Issue Biocontrol of Plant Diseases and Insect Pests)
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<p>Scopolamine induces potatoes to resist late blight. Late blight symptoms of ‘Favorita’ potato leaves (<b>A</b>) and pieces (<b>B</b>) pretreated with different concentrations of scopolamine. (<b>C</b>) Late blight symptoms of ‘Qingshu 9’, ‘Xisen 6’, and ‘Hongmei’ potato pieces pretreated with scopolamine. (<b>D</b>) Symptoms of late blight in whole ‘Marco’ potatoes with or without scopolamine treatment. Proportion of lesion size of ‘Favorita’ potato leaves (<b>E</b>), pieces (<b>F</b>), and whole ‘Marco’ potatoes (<b>G</b>). d: days post inoculation with <span class="html-italic">P. infestans</span>. Tukey’s multiple comparisons test * <span class="html-italic">p</span> &lt; 0.0332, ** <span class="html-italic">p</span> &lt; 0.0021, *** <span class="html-italic">p</span> &lt; 0.0002, **** <span class="html-italic">p</span> &lt; 0.0001. 3 replicates per group.</p>
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<p>Change of disease-resistant substances in potato tubers with or without scopolamine treatment. (<b>A</b>) Phenylalanine ammonia (PAL) activity, (<b>B</b>) polyphenols oxidase (PPO) activity, (<b>C</b>) peroxidase (POD) activity, (<b>D</b>) superoxide dismutase (SOD) activity, (<b>E</b>) catalase (CAT) activity, (<b>F</b>) H<sub>2</sub>O<sub>2</sub> content in control group and scopolamine-treated group. h: hours after scopolamine treatment. d: days post-inoculation with <span class="html-italic">P. infestans</span>. Three replicates per group. Values represent the means ± standard error of 3 independent samples (Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.0332, ** <span class="html-italic">p</span> &lt; 0.0021, *** <span class="html-italic">p</span> &lt; 0.0002).</p>
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<p>Main information of transcriptome sequencing in potato tubers under scopolamine treatment. (<b>A</b>) Distribution of differentially expressed genes. (<b>B</b>) qRT-PCR result. (<b>C</b>) GO annotation analysis diagram. The <span class="html-italic">X</span>–axis represents the number of genes compared to the secondary classification. (<b>D</b>) GO enrichment analysis. The horizontal axis represents the ratio of sample number of genes enriched in the rich factor (GO term) to the background number of annotated gene, and the color of the dot corresponds to different <span class="html-italic">p</span>-adjust ranges. (<b>E</b>) Histogram of KEGG. The <span class="html-italic">X</span>–axis is the number of genes annotated to the pathway. (<b>F</b>) KEGG enrichment analysis. The horizontal axis represents the ratio of rich factor (sample number of genes enriched in this pathway to background number of annotated genes). Three replicates per group.</p>
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<p><span class="html-italic">Datura</span> extract has dual effects to resist potato late blight. (<b>A</b>) Growth state of <span class="html-italic">Phytophthora infestans</span> on the medium supplemented with different concentrations of <span class="html-italic">Datura</span> extract. (<b>B</b>) The growth of <span class="html-italic">Phytophthora infestans</span> on the potato pieces pretreated with different concentrations of scopolamine. (<b>C</b>) The inhibition ratio of <span class="html-italic">Datura</span> extract against <span class="html-italic">Phytophthora infestans</span>. (<b>D</b>) The proportion of lesion size of potato pieces. Three replicates per group. Dunnett’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.0332, ** <span class="html-italic">p</span> &lt; 0.0021, *** <span class="html-italic">p</span> &lt; 0.0002.</p>
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<p><span class="html-italic">Datura</span> extract could control late blight of potato and increase potato yield. (<b>A</b>) Late blight status of potato leaves at harvest. (<b>B</b>) Harvested potatoes. (The total length of the sign in the picture is 0.36 m) (<b>C</b>) Disease index of each treatment group. (The five surveys were given on 2, 6, 13, 19 April, and 5 May 2023). (<b>D</b>) Average yield of each treatment group. Treatment method: group 1. Control, treated with water; group 2. Infinito (1.5 mL); group 3. <span class="html-italic">Datura</span> extract (40 g); group 4. Infinito (0.15 mL); group 5. <span class="html-italic">Datura</span> extract (40 g) + Infinito (0.15 mL). (Tukey’s multiple comparisons test, * <span class="html-italic">p</span> &lt; 0.0332, ** <span class="html-italic">p</span> &lt; 0.0021.).</p>
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21 pages, 8595 KiB  
Article
Genome-Wide Identification of Xyloglucan Endotransglucosylase/Hydrolase Multigene Family in Chinese Jujube (Ziziphus jujuba) and Their Expression Patterns Under Different Environmental Stresses
by Mohamed Refaiy, Muhammad Tahir, Lijun Jiao, Xiuli Zhang, Huicheng Zhang, Yuhan Chen, Yaru Xu, Shuang Song and Xiaoming Pang
Plants 2024, 13(24), 3503; https://doi.org/10.3390/plants13243503 - 15 Dec 2024
Viewed by 317
Abstract
The Xyloglucan endotransglucosylase/hydrolase (XTH) family, a group of cell wall-modifying enzymes, plays crucial roles in plant growth, development, and stress adaptation. The quality and yield of Chinese jujube (Ziziphus jujuba) fruit are significantly impacted by environmental stresses, including excessive salinity, drought, [...] Read more.
The Xyloglucan endotransglucosylase/hydrolase (XTH) family, a group of cell wall-modifying enzymes, plays crucial roles in plant growth, development, and stress adaptation. The quality and yield of Chinese jujube (Ziziphus jujuba) fruit are significantly impacted by environmental stresses, including excessive salinity, drought, freezing, and disease. However, there has been no report of the XTH encoding genes present in the Chinese jujube genome and their response transcription level under various stresses. This study provides an in-depth analysis of ZjXTH genes in the genome of Chinese jujube and elucidates their structural motifs, regulatory networks, and expression patterns under various stresses. A total of 29 ZjXTH genes were identified from the Ziziphus jujuba genome. Phylogenetic analysis classifies ZjXTH genes into four distinct groups, while conserved motifs and domain analyses reveal coordinated xyloglucan modifications, highlighting key shared motifs and domains. Interaction network predictions suggest that ZjXTHs may interact with proteins such as Expansin-B1 (EXPB1) and Pectin Methylesterase 22 (PME22). Additionally, cis-regulatory element analysis enhances our understanding of Chinese jujube plant’s defensive systems, where TCA- and TGACG-motifs process environmental cues and orchestrate stress responses. Expression profiling revealed that ZjXTH1 and ZjXTH5 were significantly upregulated under salt, drought, freezing, and phytoplasma infection, indicating their involvement in biotic and abiotic stress responses. Collectively, these findings deepen our understanding of the functional roles of Chinese jujube XTHs, emphasizing their regulatory function in adaptive responses in Chinese jujube plants. Full article
(This article belongs to the Special Issue Genetic Breeding of Trees)
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<p>Phylogenetic analysis of XTH proteins among 29 <span class="html-italic">ZjXTHs</span> from <span class="html-italic">Ziziphus jujuba</span>, 33 <span class="html-italic">AtXTHs</span> from <span class="html-italic">Arabidopsis thaliana</span>, 29 <span class="html-italic">OsXTHs</span> from <span class="html-italic">Oryza sativa</span>, and 15 <span class="html-italic">MdXTHs</span> from <span class="html-italic">Malus domestica</span>. Whole protein sequences of the <span class="html-italic">XTHs</span> gene family were used for alignment using MEGA X software. The phylogenetic tree was constructed ussssing the IQ-TREE 2 web tool using maximum likelihood with 1000 bootstrap replicates. Different-colored branches correspond to distinct XTH subfamilies, and the XTH IDs of arabidopsis, apple, and rice were assigned based on previous studies.</p>
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<p>Comparative analysis of the phylogenetics, exon–intron structures, and conserved motifs of the XTH family in Chinese jujube (<span class="html-italic">ZjXTHs</span>). (<b>A</b>) Motif composition models of 29 XTH proteins, with different motifs color-coded according to the legend. (<b>B</b>) Two conserved domains were identified and are represented in green and yellow. (<b>C</b>) The gene structures of <span class="html-italic">ZjXTH</span> were analyzed and visualized, including introns (black lines), exons (coding sequences, blue rectangles), and untranslated regions (UTRs, red rectangles).</p>
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<p>Chromosomal localization and synteny analysis of <span class="html-italic">ZjXTH</span> proteins in the Chinese jujube genome. Genes IDs in black indicate an absence of collinearity, genes and lines colored in green indicate dispersed duplication, red indicates whole genome duplication, and blue-colored lines indicate transposed duplicated pairs (<b>A</b>). Protein–protein interaction analyses were performed using the String web tool and visualized using Cytoscape software v3.10.3. The network consists of various proteins represented as nodes, with interactions depicted by edges. Proteins highlighted in yellow form key hubs with multiple interactions, suggesting their significant role in the network. Green nodes represent additional interacting proteins (<b>B</b>). Syntenic relationships of <span class="html-italic">ZjXTH</span> genes between <span class="html-italic">Arabidopsis thaliana</span>, <span class="html-italic">Glycine max</span>, and <span class="html-italic">Oryza sativa</span>. The brown lines in the background represent the collinear blocks within <span class="html-italic">Ziziphus jujuba</span> and other plant genomes, while the red lines highlight the syntenic <span class="html-italic">ZjXTH</span> gene pairs (<b>C</b>).</p>
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<p>Analysis of cis-regulatory elements (CREs) in the putative promoter region of <span class="html-italic">ZjXTH</span> genes using the PlantCARE database. (<b>A</b>) The number of predicted CREs located in the 2k bp upstream of the <span class="html-italic">ZjXTH</span> genes and the distribution of the three categories of CREs among the members of the <span class="html-italic">ZjXTH</span> gene family. (<b>B</b>) Venn diagram plot and pie chart showing the distribution of different functional categories of CREs identified in the <span class="html-italic">ZjXTH</span> promoter region.</p>
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<p>Gene ontology (GO) analysis was conducted on the <span class="html-italic">ZjXTH</span> gene family to assess its functional distribution across the genome. GO annotations were assigned to the <span class="html-italic">ZjXTH</span> gene sequences, categorizing them into three primary domains: (<b>A</b>) biological process, (<b>B</b>) cellular component, and (<b>C</b>) molecular function. The resulting bar graph illustrates the proportional distribution of <span class="html-italic">ZjXTH</span> genes across these categories, providing insights into their potential roles in various biological pathways and cellular functions.</p>
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<p>Heatmaps were generated to examine the expression patterns of <span class="html-italic">ZjXTHs</span> under various cellular compartments, developmental stages, and stress conditions. The heatmaps were constructed and visualized using TBTools software v2.102. (<b>A</b>) The sub-cellular localization of <span class="html-italic">ZjXTH</span> proteins was predicted using the WoLF PSORT web tool. (<b>B</b>) The tissue-specific expression profiles of <span class="html-italic">ZjXTH</span> at different developmental stages of the Chinese jujube plant were analyzed using publicly available transcriptome data and displayed in a heatmap. The normalized fragments per kilobase of transcript per million fragments (FPKM) values. A deeper red indicates higher expression levels, while a deeper green represents lower expression levels.</p>
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<p>Expression patterns of <span class="html-italic">ZjXTHs</span> of 29 differentially expressed genes in <span class="html-italic">Z. jujuba</span>. var. spinosa diploid and tetraploid seedlings, representing sensitive and tolerant types, respectively, were used in a salinity treatment, gradually applied at 50, 100, and 150 mM NaCl. A deeper red indicates higher expression levels, while a deeper green represents lower expression levels.</p>
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<p>Expression patterns of 29 differentially expressed <span class="html-italic">ZjXTH</span> genes were analyzed in diploid and tetraploid <span class="html-italic">Z. jujuba</span>. var. spinosa seedlings, representing sensitive and tolerant types, respectively, under PEG6000 concentrations of 5%, 10%, 15%, and 20% applied over 1-day intervals. The heatmaps represent the average FPKM values of the genes. A deeper red indicates higher expression levels, while a deeper green represents lower expression levels.</p>
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<p>Expression patterns of 29 differentially expressed <span class="html-italic">ZjXTH</span> genes were analyzed in the cold-sensitive cultivar ‘Dongzao’ and the cold-tolerant cultivar ‘Jinsixiaozao’. A deeper red indicates higher expression levels, while a deeper green represents lower expression levels.</p>
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<p>Heatmap of 29 differentially expressed genes in Chinese jujube under biotic stress caused by jujube witches’ broom phytoplasma (JWB). (<b>A</b>) <span class="html-italic">Z. jujuba</span> ‘Huping,’ a sensitive cultivar, and (<b>B</b>) <span class="html-italic">Z. mauritiana</span> ‘Cuiming,’ a tolerant cultivar, were grafted onto the diseased ‘Jinsixiaozao’ (<span class="html-italic">Z. jujuba</span>). Phenotypic observations were conducted 21 weeks after grafting. The heatmaps display the average FPKM values of the genes, where deeper red indicates higher expression levels and deeper green represents lower expression levels.</p>
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15 pages, 5153 KiB  
Article
Impact of Arsenic Stress on the Antioxidant System and Photosystem of Arthrospira platensis
by Jiawei Liu, Jie Du, Di Wu, Xiang Ji and Xiujuan Zhao
Biology 2024, 13(12), 1049; https://doi.org/10.3390/biology13121049 - 15 Dec 2024
Viewed by 363
Abstract
Arthrospira platensis exhibits high tolerance to arsenic; however, the mechanisms underlying its response to the arsenic stress have not been fully elucidated. This study investigated the growth and resistance mechanisms of A. platensis under As3+ stress by measuring physiological and biochemical indices, [...] Read more.
Arthrospira platensis exhibits high tolerance to arsenic; however, the mechanisms underlying its response to the arsenic stress have not been fully elucidated. This study investigated the growth and resistance mechanisms of A. platensis under As3+ stress by measuring physiological and biochemical indices, conducting transcriptome sequencing, and validating the results through qPCR. The findings show that arsenic stress affected the antioxidant system and photosynthetic pigment synthesis in A. platensis. The algae mitigated arsenic-induced oxidative stress by increasing cellular metabolic rates, enhancing cell wall stability, and reducing membrane lipid peroxidation. Transcriptome analysis revealed that pathways related to oxidative phosphorylation and chlorophyll degradation were upregulated under arsenic stress, while the expression of membrane transporters was significantly downregulated. Additionally, the algae alleviated arsenic stress by producing hydrogen and polyamine compounds. This study provides insights into the mechanisms of A. platensis response to arsenic stress and elucidates the molecular pathways involved in the stress response to As3+. Full article
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<p>Effect of As<sup>3+</sup> on the growth and biological activity concentration of <span class="html-italic">A. platensis</span>. (<b>a</b>) Growth of <span class="html-italic">A. platensis</span>. (<b>b</b>) PC content. (<b>c</b>) Carotenoids content. (<b>d</b>) Chlorophyll a content. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The photosynthetic system of <span class="html-italic">A. platensis</span>. (<b>a</b>) Results of OJIP fluorescence kinetics curves. (<b>b</b>) Chlorophyll fluorescence transients (Fv/Fm, ETo/RC, TRo/RC, ABS/CS, ABS/RC, Sm, Vj, Mo, Wk, and Plabs).</p>
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<p>Effects of As<sup>3+</sup> stress on the antioxidant system of <span class="html-italic">A. platensis</span>. (<b>a</b>) SOD activities. (<b>b</b>) CAT activities. (<b>c</b>) MDA content. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Transcriptome sequencing results. (<b>a</b>) Cluster analysis between samples. In the figure, the right and lower sides represent sample names, the left and upper sides are sample clustering, and the squares with different colors represent the correlation between the two samples (<b>b</b>) Hierarchically clustered heatmap of gene expression. Each column in the figure represents a sample, and each row represents a gene. The color in the heat map indicates the expression amount of the gene in the sample. See the number annotation under the color bar at the upper right for the specific expression amount change trend. (<b>c</b>) Volcano plot of differently expressed genes with <span class="html-italic">p</span> &lt; 0.05 and |log2FC| ≥ 0.875.</p>
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<p>Results of KEGG enrichment analysis. The abscissa is the name of KEGG metabolic pathway, and the ordinate is the number of genes annotated to the pathway. See the legend for functional classification and grouping information. (<b>a</b>) KEGG enrichment analysis for all differentially expressed genes. (<b>b</b>) KEGG enrichment analysis for upregulated differentially expressed genes. (<b>c</b>) KEGG enrichment analysis for downregulated differentially expressed genes.</p>
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<p>Results of GO functional enrichment analysis. The vertical axis represents GO term, and the horizontal axis represents rich factor [refers to the ratio of the number of genes annotated to the GO term in the gene set to the number of genes annotated to the GO term. The larger the rich factor, the greater the degree of enrichment]. The size of the point represents the number of genes/transcripts in this go term, and the color of the point corresponds to different FDR ranges. (<b>a</b>) GO enrichment analysis for all differentially expressed genes. (<b>b</b>) GO enrichment analysis for upregulated differentially expressed genes. (<b>c</b>) GO enrichment analysis for downregulated differentially expressed genes.</p>
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<p>Oxidative phosphorylation pathway under As<sup>3+</sup> stress. (<b>a</b>) Oxidative phosphorylation pathway. ( Red indicates upregulation, while blue indicates downregulation.) (<b>b</b>) qPCR results of the key genes of the oxidative phosphorylation. (** indicate significant differences (<span class="html-italic">p</span> &lt; 0.05))</p>
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<p>Phaeophytin a metabolism pathway under As<sup>3+</sup> stress. (<b>a</b>) Phaeophytin a metabolism pathway. (the arrow indicates upregulation) (<b>b</b>) qPCR results of the key genes of the photosynthetic system. (* indicate significant differences (<span class="html-italic">p</span> &lt; 0.05))</p>
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<p>qPCR results. (<b>a</b>) qPCR result of the gene. (<b>b</b>) qPCR result of <span class="html-italic">MgtC family protein</span> gene. (* indicate significant differences (<span class="html-italic">p</span> &lt; 0.05))</p>
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25 pages, 1647 KiB  
Review
Insight into Rice Resistance to the Brown Planthopper: Gene Cloning, Functional Analysis, and Breeding Applications
by Yangdong Ye, Shangye Xiong, Xin Guan, Tianxin Tang, Zhihong Zhu, Xiao Zhu, Jie Hu, Jianguo Wu and Shuai Zhang
Int. J. Mol. Sci. 2024, 25(24), 13397; https://doi.org/10.3390/ijms252413397 - 13 Dec 2024
Viewed by 313
Abstract
This review provides a comprehensive overview of the current understanding of rice resistance to the brown planthopper (BPH), a major pest that poses significant threats to rice production through direct feeding damage and by transmitting viruses such as Rice grassy stunt virus (RGSV) [...] Read more.
This review provides a comprehensive overview of the current understanding of rice resistance to the brown planthopper (BPH), a major pest that poses significant threats to rice production through direct feeding damage and by transmitting viruses such as Rice grassy stunt virus (RGSV) and Rice ragged stunt virus (RRSV). We highlight the emergence of various BPH biotypes that have overcome specific resistance genes in rice. Advances in genetic mapping and cloning have identified 17 BPH resistance genes, classified into typical R genes encoding nucleotide-binding leucine-rich repeat (NLR) proteins and atypical R genes such as lectin receptor kinases and proteins affecting cell wall composition. The molecular mechanisms of these genes involve the activation of plant defense pathways mediated by phytohormones like jasmonic acid (JA), salicylic acid (SA), and ethylene, as well as the production of defensive metabolites. We also examine the complex interactions between BPH salivary proteins and rice defense responses, noting how salivary effectors can both suppress and trigger plant immunity. The development and improvement of BPH-resistant rice varieties through conventional breeding and molecular marker-assisted selection are discussed, including strategies like gene pyramiding to enhance resistance durability. Finally, we outline the challenges and future directions in breeding for durable BPH resistance, emphasizing the need for continued research on resistance mechanisms and the development of rice varieties with broad-spectrum and long-lasting resistance. Full article
(This article belongs to the Special Issue Molecular and Structural Research Advances in Model Plants)
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<p>Timeline of cloned genes for brown planthopper resistance in rice. This figure illustrates a timeline of cloned rice genes conferring resistance to BPH, spanning the years 2009 to 2021. Gene symbols are classified based on their protein domains, including lectin receptor kinases, LRD, B3 DNA-binding, CC-NB, CC-NB-LRR, and CC-NB-NB-LRR, indicating diverse mechanisms of resistance. The chromosome positions (e.g., Chr 3L, Chr 12L) highlight the genomic locations of these genes. Each gene is marked with a unique color based on its year of discovery, facilitating a visual overview of the progress in rice resistance breeding against BPH.</p>
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<p>Functional characterization of salivary proteins secreted by BPH while feeding on rice plants. This figure illustrates the role of various salivary proteins secreted by BPH, which are critical in facilitating feeding and manipulating host plant responses. The top panel shows a schematic of a BPH feeding on a rice plant, highlighting the injection of salivary proteins into plant tissue. The bottom panel provides a classification and functional annotation of these proteins, detailing their diverse roles in inducing plant volatiles, degrading cellulose, interfering with calcium and ROS pathways, initiating plant cell death, and manipulating plant defense mechanisms. Each protein’s function is marked by a unique color, aligning with the key provided, which helps in visually distinguishing their specific roles in BPH–plant interactions.</p>
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21 pages, 4969 KiB  
Article
Comprehensive In Vitro Evaluation of Antibacterial, Antioxidant, and Computational Insights into Blepharis ciliaris (L.) B. L. Burtt from Hail Mountains, Saudi Arabia
by Abdel Moniem Elhadi Sulieman, Hajo Idriss, Mamdouh Alshammari, Nujud A. M. Almuzaini, Nosyba A. Ibrahim, Mahmoud Dahab, Abdulrahman Mohammed Alhudhaibi, Hamad Mohammed Abdullah Alrushud, Zakaria Ahmed Saleh and Emad M. Abdallah
Plants 2024, 13(24), 3491; https://doi.org/10.3390/plants13243491 - 13 Dec 2024
Viewed by 485
Abstract
The arid mountainous region of Hail in Saudi Arabia has a variety of desert vegetation, some of which are conventionally used in Bedouin traditional medicine. These plants need scientific examination. This research seeks to examine Blepharis ciliaris using a thorough multi-analytical methodology that [...] Read more.
The arid mountainous region of Hail in Saudi Arabia has a variety of desert vegetation, some of which are conventionally used in Bedouin traditional medicine. These plants need scientific examination. This research seeks to examine Blepharis ciliaris using a thorough multi-analytical methodology that includes antibacterial and antioxidant assessments as well as computational modeling. GC–MS analysis of the methanolic extract revealed 17 organic compounds, including pentadecanoic acid, ethyl methyl ester (2.63%); hexadecanoic acid, methyl ester (1.00%); 9,12-octadecadienoic acid (Z,Z)-, methyl ester (2.74%); 9-octadecenoic acid, methyl ester (E) (2.78%); octadecanoic acid (5.88%); 9-tetradecenoic acid (Z) (3.22%); and undec-10-enoic acid, undec-2-n-1-yl ester (5.67%). The DPPH test evaluated antioxidant activity, revealing a notable increase with higher concentrations of the methanolic extract, achieving maximum inhibition of 81.54% at 1000 µg/mL. The methanolic extract exhibited moderate antibacterial activity, with average inhibition zones of 10.33 ± 1.53 mm, 13.33 ± 1.53 mm, 10.67 ± 1.53 mm, and 10.00 ± 2.00 mm against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, and Serratia marcescens, respectively, as determined by the disk diffusion method. The minimum inhibitory concentration (MIC) values were 500 µg/mL for S. aureus and B. subtilis, whereas E. coli and S. marcescens showed susceptibility at 1000 µg/mL. Computational simulations were employed to assess the toxicity, drug-likeness, and ADMET profiles of compounds derived from Blepharis ciliaris. Thirteen bioactive compounds were assessed in silico against Staphylococcus aureus sortase A (PDB: 1T2O), Bacillus subtilis BsFabHb (PDB: 8VDB), Escherichia coli LPS assembly protein (LptD) (PDB: 4RHB), and a modeled Serratia marcescens outer-membrane protein TolC, focusing on cell wall and membrane structures. Compound 3, (+)-Ascorbic acid 2,6-dihexadecanoate, shown significant binding affinities to B. subtilis BsFabHb, E. coli LPS assembly protein, and S. marcescens TolC. Full article
(This article belongs to the Section Phytochemistry)
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<p>GC-MS chromatogram of the methanol extract of <span class="html-italic">Blepharis ciliaris</span>.</p>
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<p>Three-dimensional protein structures. (<b>A</b>): <span class="html-italic">Staphylococcus aureus</span> sortase A (PDB: 1T2O); (<b>B</b>): <span class="html-italic">Bacillus subtilis</span> BsFabHB (PDB: 8VDB); (<b>C</b>): <span class="html-italic">E. coli</span> LPS assembly protein (LptD) (PDB: 4RHB). Uses specific colors to represent the various receptor structures of helices, strands, and <span class="html-italic">E. coil</span> with medium state blue, corn flue blue, and dim gray, respectively. Green color represents helices, strands of the particular region.</p>
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<p>Modeled and structural quality assessment of <span class="html-italic">Serratia marcescens</span> outer-membrane protein. (<b>A</b>): Outer-membrane protein TolC (<b>B</b>): Ramachandran plot analysis, created using SAVES v6.1 web tool; (<b>C</b>): TolC protein ERRAT evaluation obtained from the SAVES v6.1 web tool.</p>
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<p>Predicted protein–ligand interaction. The docked compounds are shown in a stick model, colored yellow. (<b>A</b>) <span class="html-italic">S. aureus</span> sortase A docked with 9-Octadecenoic acid, methyl ester (E); (<b>B</b>) <span class="html-italic">B. subtilis</span> BsFabHb docked with 3 (+)-Ascorbic acid 2,6-dihexadecanoate; (<b>C</b>) <span class="html-italic">S. marcescens</span> outer-membrane protein TolC. docked with 3 (+)-Ascorbic acid 2,6-dihexadecanoate; (<b>D</b>) <span class="html-italic">E. coli</span> LPS assembly protein docked with 3 (+)-Ascorbic acid 2,6-dihexadecanoate. Lower graph represented ten DockThor-VS binding mode scores obtained for the predicted complexes used GraphPad Prism 5 Software.</p>
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<p>The plant sample and the collection site: (<b>A</b>) <span class="html-italic">Blepharis ciliaris</span>; (<b>B</b>) the location of collection, Ha’il area.</p>
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15 pages, 2813 KiB  
Article
Lignin Sulfonate-Chelated Calcium Improves Tomato Plant Development and Fruit Quality by Promoting Ca2+ Uptake and Transport
by Jiucheng Zhang, Minghui Du, Genzhong Liu, Fangfang Ma and Zhilong Bao
Horticulturae 2024, 10(12), 1328; https://doi.org/10.3390/horticulturae10121328 - 12 Dec 2024
Viewed by 346
Abstract
Calcium (Ca) plays a key role in cell wall stabilization and various physiological processes. Ca fertilizers are widely used in agriculture to meet crop demands and improve yield and quality. However, traditional Ca fertilizers often suffer from low solubility, poor absorption, and mobility [...] Read more.
Calcium (Ca) plays a key role in cell wall stabilization and various physiological processes. Ca fertilizers are widely used in agriculture to meet crop demands and improve yield and quality. However, traditional Ca fertilizers often suffer from low solubility, poor absorption, and mobility issues. Chelated Ca fertilizers offer enhanced efficiency and uptake. In this study, we compared the effects of lignosulfonate-chelated Ca (LS–Ca), EDTA-chelated Ca (EDTA–Ca), Ca(NO3)2, and alcohol sugar-chelated Ca (AS–Ca) with a Ca concentration of 15 mg/L on tomato growth. The results showed that LS–Ca increased the contents of chlorophyll a and b contents in leaves by 26% and 46%, respectively. The application of Ca fertilizers significantly enhanced Ca2+ uptake and transport, with the LS–Ca treatment achieving the highest utilization efficiency. Without altering fruit weight, the LS–Ca treatment increased the firmness of mature tomato fruits by 29%. Furthermore, the LS–Ca treatment improved fruit sweetness by 33%, with the total sugar content increasing by 45%, sucrose by 80%, reducing sugars by 64%, and titratable acidity by 18%. This study aims to compare the effects of different chelated Ca fertilizers on tomato cultivation and to explore optimal Ca supplementation strategies, thereby contributing to improvements in tomato cultivation practices and fruit quality. Full article
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<p>Effects of lignin sulfonates on Ca<sup>2+</sup> chelation. Total Ca and replaceable Ca contents were determined from the soil: (<b>A</b>) chemical formula of sodium lignin sulfonate (LS); (<b>B</b>) differences in total soil Ca content; and (<b>C</b>) differences in soil-replaceable Ca content. Ctrl: without the application of CaCl<sub>2</sub>; Ctrl + LS: without the application of CaCl<sub>2</sub> but the lignin sulfonates were added; CaCl<sub>2</sub>: soil treated with 1% CaCl<sub>2</sub>; CaCl<sub>2</sub> + LS: soil treated with 1% CaCl<sub>2</sub> and lignin sulfonates. Error bars represent standard deviations (n = 3). Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of different Ca fertilizer treatments on tomato growth. At the end of the third treatment, representative plants were photographed (<b>A</b>); and sampled for fresh weights aboveground (<b>B</b>); and underground (<b>D</b>). Dry weights for aboveground (<b>C</b>) and underground (<b>E</b>) samples were measured after the samples were completely dried. Ctrl (H<sub>2</sub>O), no fertilizer treatment; T1 (LS–Ca), lignosulfonate-chelated Ca fertilizer treatment; T2 (EDTA–Ca), EDTA-chelated Ca fertilizer treatment; T3 (Ca(NO<sub>3</sub>)<sub>2</sub>), Ca(NO<sub>3</sub>)<sub>2</sub> fertilizer treatment; T4 (AS–Ca), alcohol sugar-chelated Ca fertilizer treatment. The Ca concentration of each fertilizer treatment was maintained at 15 mg/L. Error bars represent standard deviations (n = 5). Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of different Ca fertilizer treatments on tomato phenotypes after the second treatment: chlorophyll a (<b>A</b>); chlorophyll b (<b>B</b>); and carotenoid (<b>C</b>) contents in tomato leaves fertilized with different calcium sources. Ctrl, H<sub>2</sub>O; T1, LS–Ca; T2, EDTA–Ca; T3, Ca(NO<sub>3</sub>)<sub>2</sub>; T4, AS–Ca treatment. Error bars represent standard deviations (n = 4). Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of different Ca fertilizer treatments on Ca content in tomatoes: (<b>A</b>) after the first treatment, Ca contents in tomato roots, stems and leaves; (<b>B</b>) after the second treatment, Ca contents in tomato roots, stems and leaves; (<b>C</b>) after the third treatment, Ca contents in tomato roots, stems, leaves, flowers and fruits; and (<b>D</b>–<b>F</b>) Ca<sup>2+</sup> concentrations in xylem sap during three times treatment (n = 3). Ctrl, H<sub>2</sub>O; T1, LS–Ca; T2, EDTA–Ca; T3, Ca(NO<sub>3</sub>)<sub>2</sub>; T4, AS–Ca treatment. Error bars represent standard deviations. Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of different Ca fertilizer treatments on fruit size, firmness, and brix of tomatoes after the third treatment: (<b>A</b>) representative red ripe fruit were photographed. Scale bar = 1 cm; (<b>B</b>) fruit yield (n = 5); (<b>C</b>) single fruit weight (n = 30–40); (<b>D</b>) fruit firmness (n = 12); and (<b>E</b>) soluble solid contents (n = 12). Ctrl, H<sub>2</sub>O; T1, LS–Ca; T2, EDTA–Ca; T3, Ca(NO<sub>3</sub>)<sub>2</sub>; T4, AS–Ca treatment. Error bars represent standard deviations. Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of different Ca fertilizer treatments on tomato fruit quality after the third treatment: measurement of total sugar (<b>A</b>); measurement of reducing sucrose (<b>B</b>); measurement of reducing sugars (<b>C</b>); measurement of titratable acid (<b>D</b>); measurement of flavonoids (<b>E</b>); and measurement of carotenoids (<b>F</b>). Ctrl, H<sub>2</sub>O; T1, LS–Ca; T2, EDTA–Ca; T3, Ca(NO<sub>3</sub>)<sub>2</sub>; T4, AS–Ca treatment. Error bars represent standard deviations (n = 4). Different letters represent significantly different values at <span class="html-italic">p</span> ≤ 0.05.</p>
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14 pages, 5880 KiB  
Article
Functional Mechanical Behavior and Biocompatible Characteristics of Graphene-Coated Cardiovascular Stents
by Łukasz Wasyluk, Dariusz Hreniak, Vitalii Boiko, Beata Sobieszczańska, Emanuela Bologna, Massimiliano Zingales, Robert Pasławski, Jacek Arkowski, Przemysław Sareło and Magdalena Wawrzyńska
Int. J. Mol. Sci. 2024, 25(24), 13345; https://doi.org/10.3390/ijms252413345 - 12 Dec 2024
Viewed by 348
Abstract
Percutaneous Coronary Intervention (PCI) is a treatment method that involves reopening narrowed arteries with a balloon catheter that delivers a cylindrical, mesh-shaped implant device to the site of the stenosis. Currently, by applying a coating to a bare metal stent (BMS) surface to [...] Read more.
Percutaneous Coronary Intervention (PCI) is a treatment method that involves reopening narrowed arteries with a balloon catheter that delivers a cylindrical, mesh-shaped implant device to the site of the stenosis. Currently, by applying a coating to a bare metal stent (BMS) surface to improve biocompatibility, the main risks after PCI, such as restenosis and thrombosis, are reduced while maintaining the basic requirements for the mechanical behavior of the stent itself. In this work, for the first time, the development and optimization process of the spatial structure of the Co-Cr stent (L-605) with a graphene-based coating using cold-wall chemical vapor deposition (CW-CVD) to ensure uniform coverage of the implant was attempted. The CW-CVD process allows the coating of 3D structures, minimizing thermal stress on the surrounding equipment and allowing the deposition of coatings on temperature-sensitive materials. It produces uniform and high-purity films with control over the thickness and composition. The reduced heating of the chamber walls minimizes unwanted reactions, leading to fewer impurities in the final coating. The graphene layers obtained using Raman spectroscopy at different parameters of the CW-CVD process were verified, their properties were investigated, and the functional mechanical behavior of the studied graphene-covered stent was confirmed. In vitro, graphene-coated stents promoted rapid endothelial cell repopulation, an advantage over gold-standard drug-eluting stents delaying re-endothelialization. Also, full-range biocompatibility studies on potential allergic, irritation, toxicological, and pyrogenic reactions of new material in vivo on small animal models demonstrated excellent biocompatibility of the graphene-coated stents. Full article
(This article belongs to the Special Issue Biofunctional Coatings for Medical Applications)
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<p>Raman spectra (λ<sub>ex</sub>—514 nm) of the cardiovascular stents before (black line) and after CW-CVD (red, green, and blue line) with different deposition temperatures (700 °C, 900 °C, and 1100 °C, respectively).</p>
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<p>SEM images of a cardiovascular stent (<b>a</b>) before and (<b>b</b>) after CW-CVD. (<b>c</b>) The stent fracture after crimping. (<b>d</b>–<b>f</b>) Images of critical areas for properly crimped and expanded stent. The scale bar is presented in the appropriate image.</p>
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<p>(<b>a</b>) The radial force measurement device. (<b>b</b>) The values of the obtained radial forces of graphene-coated stent (GC-stent) and uncoated stent (BM-stent). The <span class="html-italic">p</span>-value according to the non-parametric Mann–Whitney U test.</p>
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<p>(<b>a</b>) The coronary stents used in the test and the BOSE 9400 MAPS system. (<b>b</b>) The macro-photography of the bare metal stent. (<b>c</b>) The macro-photography of the graphene-coated stent. (<b>d</b>) Time evolution of the stent diameter for the reference and graphene-coated stents and (<b>e</b>) pressure-diameter elastic behavior of the stent in the cyclic load-unload test for the reference and graphene-coated stents. The response to cyclic loading confirms that graphene-coated stents are just as safe as uncoated stents, which have been used clinically for many years. The mechanical properties of graphene-coated stents are similar to those of other coatings. The main advantage of graphene coating is increased biocompatibility.</p>
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<p>(<b>a</b>) HUVEC cell proliferation on bare metal (BM) stents and graphene-coated (GC) bare metal stents after 72 h quantified in the WST-1 assay. * <span class="html-italic">p</span> &lt; 0.001. (<b>b</b>) The proliferation of HUVEC cells on bare metal (BM) stent and graphene-coated bare metal (GC) stent after 72 h. Cells were visualized by staining the cell’s actin cytoskeleton with phalloidin-FITC and the cell’s nuclei with DAPI. Magnification 400×.</p>
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<p>Photographic documentation of the allergy and skin irritation tests performed, where (<b>a</b>) the method of applying the tested graphene-coated samples on the shaved skin of a guinea pig during the GPMT test is presented. The tested implant was placed on the skin of a rabbit similarly during the Rabbit Skin Primary Irritation Test. (<b>b</b>) The site after applying the graphene-coated stent and after a 14-day break and re-applying of the stent. The site was assessed using the Magnusson and Kligman scale in the GPMT test. (<b>c</b>) The site after 72 h where the graphene-coated stent was applied and subjected to erythema and edema assessments on a scale of 0 to 4 in the Rabbit Skin Primary Irritation Test.</p>
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<p>Photographic documentation (<b>a</b>–<b>c</b>) of individual stages of intraperitoneal insertion of the tested graphene-coated stents. (<b>d</b>) The autopsy did not show any symptoms of reaction to the tested material. The implanted material samples were loose in the peritoneal cavity and could be easily removed.</p>
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<p>The histopathological microscope images show no organ changes following the introduction of graphene-coated stents: chronic response study. No changes were observed in (<b>a</b>) lungs, (<b>b</b>) heart, (<b>c</b>) kidneys, and (<b>d</b>) liver. The results do not differ from typical images characteristic of healthy organs. Below, histopathological images of the skin after (<b>e</b>) 24 h, (<b>f</b>) 48 h, and (<b>g</b>) 72 h, respectively, are shown in the skin irritation tests. The tests were performed on the White New Zealand rabbit. The scale shown in the images indicates 400 μm.</p>
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10 pages, 955 KiB  
Proceeding Paper
A Brief Overview of Lignin Extraction and Isolation Processes: From Lignocellulosic Biomass to Added-Value Biomaterials
by Raja Saadan, Chaymaa Hachimi Alaoui, Aziz Ihammi, Mohamed Chigr and Ahmed Fatimi
Environ. Earth Sci. Proc. 2024, 31(1), 3; https://doi.org/10.3390/eesp2024031003 - 12 Dec 2024
Viewed by 336
Abstract
Lignin is one of the three major components of the cell wall of lignocellulosic biomaterials. It is the second-most abundant polymer in nature. It is a complex and heterogeneous polymer found in the cell walls of lignocellulosic biomass. Lignin’s predominant composition, which is [...] Read more.
Lignin is one of the three major components of the cell wall of lignocellulosic biomaterials. It is the second-most abundant polymer in nature. It is a complex and heterogeneous polymer found in the cell walls of lignocellulosic biomass. Lignin’s predominant composition, which is rich in carbon and aromatic structures, enhances its value by enabling the development of high-value chemicals and bio-based materials. As one of the most affluent natural renewable sources of aromatic structures and the world’s second-largest renewable source of carbon, lignin possesses a thermal value comparable to that of carbon. Its aromatic constituents exhibit unique chemical properties and significant bioactive effects, making lignin a crucial material in various advanced applications. Different chemical fractionation methods have been designed to overcome the obstacles to extracting the lignin biopolymer from lignocellulosic biomass. Lignin fractionation is a process that involves separating lignin from other components of biomass feedstock, such as cellulose and hemicellulose. This process is commonly used in the paper and pulp industry to obtain valuable lignin derivatives that can be used in various applications, including, among others, biofuels, chemicals, and biomaterials. In the brief overview described in this proceedings paper, we provide a comprehensive chemical overview of the current processes for extracting technical lignin from wood and lignocellulosic biomass, critically evaluating the advantages and limitations of each method. Full article
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<p>(<b>a</b>) Chemical structures of monolignols, which represent the precursors for the structural units in the lignin backbone. (Adapted from Hachimi Alaoui et al. (2022) [<a href="#B2-eesp-31-00003" class="html-bibr">2</a>], Copyright© 2022 MDPI under the terms of the Creative Commons Attribution 4.0 International License). (<b>b</b>) Example of lignin’s structure, showing the main linkage bonds. (Reprinted from Figueiredo et al. (2018) [<a href="#B7-eesp-31-00003" class="html-bibr">7</a>], with permission from Elsevier. Published under license, Copyright© 2018 Elsevier Ltd.).</p>
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<p>Chemical structures of some types of lignin obtained from various extraction and purification processes: (<b>a</b>) lignosulfonate lignin (derived from sulfite pulping processes); (<b>b</b>) Kraft lignin (produced from Kraft pulping); (<b>c</b>) organosolv lignin (isolated using organic solvent processes); (<b>d</b>) soda lignin (obtained through soda pulping). The structural differences reflect variations in extraction methods and conditions, which influence lignin’s chemical properties and suitability for specific applications. (Created with ACD/ChemSketch (Freeware) 2023.1.2. Adapted from Melro et al. (2018) [<a href="#B40-eesp-31-00003" class="html-bibr">40</a>], with permission from Elsevier. Published under license, Copyright© 2018 Elsevier Ltd.).</p>
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15 pages, 3040 KiB  
Article
Exploring Spent Coffee Grounds: Comprehensive Morphological Analysis and Chemical Characterization for Potential Uses
by Robin Zuluaga, Catalina Gómez Hoyos, Jorge Velásquez-Cock, Lina Vélez-Acosta, Isabela Palacio Valencia, Javier Augusto Rodríguez Torres and Piedad Gañán Rojo
Molecules 2024, 29(24), 5866; https://doi.org/10.3390/molecules29245866 - 12 Dec 2024
Viewed by 338
Abstract
The agroindustry generates substantial quantities of byproducts, particularly in coffee production, which yields significant waste, most notably spent coffee grounds (SCGs). This study explores the potential of SCGs as a versatile resource for applications in both food and nonfood sectors. A comprehensive chemical [...] Read more.
The agroindustry generates substantial quantities of byproducts, particularly in coffee production, which yields significant waste, most notably spent coffee grounds (SCGs). This study explores the potential of SCGs as a versatile resource for applications in both food and nonfood sectors. A comprehensive chemical analysis revealed that SCGs consist of 30.2 wt.% cellulose, 25 wt.% hemicellulose, and 12 wt.% lignin. Morphological characterization was performed using field emission scanning electron microscopy (FESEM). Additional analyses included attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) and thermogravimetric analysis (TGA). ATR-FTIR identified key polysaccharides and oils, whereas TGA offered insights into the thermal degradation behavior of SCGs, confirming the presence of typical plant cell wall components. X-ray diffraction (XRD) patterns revealed low crystallinity, consistent with SCGs’ amorphous structure. Mineral content was assessed using inductively coupled plasma atomic emission spectrometry (ICP-AES) and atomic absorption spectrophotometry (AAS). The results showed that mineral concentrations in SCGs (per 0.01 kg) were within recommended daily intake limits, confirming their safety for potential human consumption. These findings establish SCGs as a valuable lignocellulosic biomass with applications in composite materials. Additionally, it can serve as an organic soil amendment after fermentation to prevent stress on plants. This approach supports effective waste management and advances resource sustainability practices in the agro-industrial sector. Full article
(This article belongs to the Special Issue Study on Extraction and Chemical Constituents of Natural Extracts)
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<p>Field emission scanning electron microscopy (FESEM) of SCGs particles. (<b>a</b>) Micrograph at 3500× magnification. (<b>b</b>) Micrograph at 15,000× magnification.</p>
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<p>Attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) of SCGs is presented as follows: (<b>a</b>) The average infrared spectrum (red line) and its second derivative (black line); (<b>b</b>) the wavenumber region from 3700 to 2700 cm<sup>−1</sup>; (<b>c</b>) the wavenumber region from 1810 to 900 cm<sup>−1</sup>; (<b>d</b>) the wavenumber region from 900 to 650 cm<sup>−1</sup>.</p>
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<p>Thermogravimetric analysis of SCGs at a heating rate of 10 °C per minute in a nitrogen atmosphere. Weight loss percent (red line) and derivative weight loss (black line).</p>
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<p>X-ray diffraction (XRD) analysis of SCGs. Amorphous cellulose profiles are associated with the shadow zone in the 30–40° range.</p>
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24 pages, 6646 KiB  
Article
Diversity of Endolysin Domain Architectures in Bacteriophages Infecting Bacilli
by Olga N. Koposova, Olesya A. Kazantseva and Andrey M. Shadrin
Biomolecules 2024, 14(12), 1586; https://doi.org/10.3390/biom14121586 - 11 Dec 2024
Viewed by 517
Abstract
The increasing number of antibiotic-resistant bacterial pathogens is a serious problem in medicine. Endolysins are bacteriolytic enzymes of bacteriophages, and a promising group of enzymes with antibacterial properties. Endolysins of bacteriophages infecting Gram-positive bacteria have a modular domain organization. This feature can be [...] Read more.
The increasing number of antibiotic-resistant bacterial pathogens is a serious problem in medicine. Endolysins are bacteriolytic enzymes of bacteriophages, and a promising group of enzymes with antibacterial properties. Endolysins of bacteriophages infecting Gram-positive bacteria have a modular domain organization. This feature can be used to design enzymes with new or improved properties by modifying or shuffling individual domains. This work is a detailed analysis 1of the diversity of endolysin domains found in bacteriophages infecting bacilli. During the course of the work, a database of endolysins of such bacteriophages was created, and their domain structures were analyzed using the NCBI database, RASTtk, BLASTp, HHpred, and InterPro programs. A phylogenetic analysis of endolysins was performed using MEGA X. In 438 phage genomes, 454 genes of endolysins were found. In the endolysin sequences found, eight different types of catalytic domains and seven types of cell wall binding domains were identified. The analysis showed that many types of endolysin domains have not yet been characterized experimentally. Studies of the properties of such domains will help to reveal the potential of endolysins for the creation of new antibacterial agents. Full article
(This article belongs to the Special Issue Antibiotic Resistance Mechanisms and Their Potential Solutions)
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<p>Representation of different types of EADs in the endolysins of <span class="html-italic">Bacillus</span>-infecting phages. n—number of endolysins with a domain of the corresponding type.</p>
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<p>Representation of different types of cell wall binding domains in endolysins of <span class="html-italic">Bacillus</span>-infecting phages. n—number of endolysins with a domain of the corresponding type.</p>
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<p>Phylogenetic tree of Amidase_2 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Amidase_2 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Amidase_3 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in scientific publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Peptidase_M15_3 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in scientific publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Bacteriophage_GH24 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Glyco_hydro_25 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in scientific publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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<p>Phylogenetic tree of Glycosyl_Hydrolase_73 domains from the endolysins of <span class="html-italic">Bacillus</span>-infecting bacteriophages. The tree was constructed using the maximum likelihood method (bootstrap analysis with 500 replicates) and visualized in iTOL v.6.9.1. Enzymes previously characterized in scientific publications are highlighted in bold. The host bacteria of the bacteriophages, in whose genomes endolysins were identified, are indicated in italics following the “/” symbol.</p>
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