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28 pages, 3491 KiB  
Review
Functional and Molecular Characterization of Plant Nitrate Transporters Belonging to NPF (NRT1/PTR) 6 Subfamily
by Olga I. Nedelyaeva, Dmitry E. Khramov, Yurii V. Balnokin and Vadim S. Volkov
Int. J. Mol. Sci. 2024, 25(24), 13648; https://doi.org/10.3390/ijms252413648 - 20 Dec 2024
Viewed by 247
Abstract
Plant nitrate transporters in the NPF (NRT1) family are characterized by multifunctionality and their involvement in a number of physiological processes. The proteins in this family have been identified in many monocotyledonous and dicotyledonous species: a bioinformatic analysis predicts from 20 to 139 [...] Read more.
Plant nitrate transporters in the NPF (NRT1) family are characterized by multifunctionality and their involvement in a number of physiological processes. The proteins in this family have been identified in many monocotyledonous and dicotyledonous species: a bioinformatic analysis predicts from 20 to 139 members in the plant genomes sequenced so far, including mosses. Plant NPFs are phylogenetically related to proton-coupled oligopeptide transporters, which are evolutionally conserved in all kingdoms of life apart from Archaea. The phylogenetic analysis of the plant NPF family is based on the amino acid sequences present in databases; an analysis identified a separate NPF6 clade (subfamily) with the first plant nitrate transporters studied at the molecular level. The available information proves that proteins of the NPF6 clade play key roles not only in the supply of nitrate and its allocation within different parts of plants but also in the transport of chloride, amino acids, ammonium, and plant hormones such as auxins and ABA. Moreover, members of the NPF6 family participate in the perception of nitrate and ammonium, signaling, plant responses to different abiotic stresses, and the development of tolerance to these stresses and contribute to the structure of the root–soil microbiome composition. The available information allows us to conclude that NPF6 genes are among the promising targets for engineering/editing to increase the productivity of crops and their tolerance to stresses. The present review summarizes the available published data and our own results on members of the NPF6 clade of nitrate transporters, especially under salinity; we outline their molecular, structural, and functional characteristics and suggest potential lines for future research. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Plant Abiotic Stress Tolerance: 2nd Edition)
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Figure 1
<p>Phylogenetic analysis of the amino acid sequences of clade 6 proteins of the nitrate transporter NPF/NRT1 family. The phylogenetic tree was built in the program MEGA X v. 10.0.1 (<a href="https://www.megasoftware.net/" target="_blank">https://www.megasoftware.net/</a> (accessed on 15 December 2024)) by the maximum likelihood method based on the Jones–Taylor–Thornton model. The results of the bootstrap analysis are given in nodes of the phylogram (1000 iterations); scale bar—0.20 replacements per site. Amino acid sequences of the proteins of <span class="html-italic">A. thaliana</span>, <span class="html-italic">M. truncatula</span>, <span class="html-italic">B. napus</span>, <span class="html-italic">L. esculentum</span>, <span class="html-italic">M. domestica</span>, <span class="html-italic">S. altissima</span>, <span class="html-italic">T. halophila</span>, <span class="html-italic">Z. mays</span>, <span class="html-italic">O. sativa</span>, <span class="html-italic">S. bicolor</span>, <span class="html-italic">B. distachyon</span>, <span class="html-italic">Z. mays</span>, <span class="html-italic">O. sativa</span>, <span class="html-italic">B. distachyon</span>, <span class="html-italic">Z. marina</span> for the phylogenetic tree construction were taken from NCBI; amino acid sequences of <span class="html-italic">S. polyrhiza</span>, <span class="html-italic">T. halophila</span>, and <span class="html-italic">S. europaea</span> proteins were taken from the Phytozome (<a href="https://phytozome-next.jgi.doe.gov/info/Spolyrhiza_v2" target="_blank">https://phytozome-next.jgi.doe.gov/info/Spolyrhiza_v2</a> (accessed on 15 December 2024)) and <span class="html-italic">Salicornia</span> DB (<a href="https://www.salicorniadb.org/" target="_blank">https://www.salicorniadb.org/</a> (accessed on 15 December 2024)) databases. GenBank sequence numbers are given in the <a href="#app1-ijms-25-13648" class="html-app">Supplementary Materials (Table S1)</a>.</p>
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<p>The dual-affinity nitrate transporter AtNPF6.3 of <span class="html-italic">Arabidopsis thaliana</span>. (<b>A</b>) The three-dimensional structure of the AtNPF6.3 dimer plotted in the Swiss-model program (<a href="https://swissmodel.expasy.org/" target="_blank">https://swissmodel.expasy.org/</a> (accessed on 15 December 2024)) based on the crystal structure of this protein [<a href="#B44-ijms-25-13648" class="html-bibr">44</a>]. Transmembrane domains are colored differently. Structure of the AtNPF6.3 dimer composed of A and B protomers in the presence of NaNO<sub>3</sub>. Nitrate ions, the key amino acid residues and motifs, namely, the nitrate-binding His356, affinity mode-switching Thr101, and proton-binding ExxER, as well the cytoplasmic loops and the N-(TM1-TM6) and C-(TM7-TM12)-terminal domains including 6 α-helices each are indicated in both monomers. On the left is the side view, on the right is the top view. (<b>B</b>) Transition between the AtNPF6.3 transporter dimer composed of monomers A and B with low conformational mobility and monomer with high conformational mobility, which determine the low-affinity and high-affinity modes of nitrate binding, respectively. (<b>C</b>) Transport cycle of the AtNPF6.3 symporter. (a) Between amino acid residues K164 (atTM4) and E476 (at TM10), an ionic bond (salt bridge) is formed, which closes the pore (tunnel) and brings together the N-(TM1-6) and C-(TM7-TM12)-terminal domains of the subunit (outward-facing conformation). (b) After protonation of ExxER (at TM1) and H356 (at TM7), nitrate binding to H356 occurs. (c) The transporter switches to a closed (occluded) conformation, (d) the ionic bond (salt bridge) between K164 and E476 is broken, and the transition into the inward-facing conformation of the protein and the release of nitrate and two protons occurs.</p>
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<p>Growth of yeast <span class="html-italic">Hansenula polymorpha</span> (DL-1) strains, including wild-type and a knockout mutant <span class="html-italic">Δynt 1</span> expressing <span class="html-italic">AtNPF6.3</span> (<span class="html-italic">Δynt1</span> + <span class="html-italic">AtNPF6.3</span>). The yeast was grown on selective medium (SD) containing nitrate as the sole nitrogen source (0.5 mM or 2 mM KNO<sub>3</sub>) and NaCl at concentrations ranging from 0 mM to 750 mM NaCl. A positive control—WT <span class="html-italic">H. polymorpha</span> strain; negative control—<span class="html-italic">Δynt1</span>, a knockout mutant for the <span class="html-italic">YNT1</span> gene, the only nitrate transporter gene in this organism. The figure is based on the published results of the authors [<a href="#B38-ijms-25-13648" class="html-bibr">38</a>].</p>
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<p>Signaling cascades triggered by AtNPF6.3 in <span class="html-italic">A. thaliana</span>. Nitrate binding to AtNPF6.3 results in an upregulation of phospholipase C (PLC) activity and the formation of inositol-1,4,5-triphosphate (IP3), which finally leads to a transiently increased level of cytosolic calcium. Activated calcium-dependent protein kinases (CPKs) carry out the phosphorylation of NLP transcription factors. In the phosphorylated state, NLPs translocate to the nucleus, where they trigger the transcription of the primary nitrate response genes by engaging the long non-coding RNA T5120. NLPs also activate the expression of the NIGT1 transcription factor responsible for repression of the nitrate primary response genes (based on [<a href="#B102-ijms-25-13648" class="html-bibr">102</a>]).</p>
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<p>Scheme of the interactions and physiological functions of the OsNPF6.3 (NRT1.1A) and OsNPF6.5 (NRT1.1B) transceptors in <span class="html-italic">Oryza sativa</span>. The perception by OsNPF6.3 (NRT1.1A) and OsNPF6.5 (NRT1.1B) of nitrate in the soil solution and cytosol and transmission of nitrate signals to the nucleus involving the transcription factors NLP3 and NLP4. In the presence of nitrate in the environment, OsNRT1.1B interacts with the repressor protein OsSPX4, initiating its degradation with the participation of ubiquitin ligase NBIP1. The degradation of OsSPX4 releases the related transcription factors OsNLP3 and OsPHR2, which move into the nucleus and activate expression of genes responsible for nitrate and phosphate metabolism. Signal transduction altering the expression of genes involved in the metabolism of nitrate and ammonium is mediated by the transcription factors NLP3 and NLP4, although the other proteins in the signaling chains are not known (question mark).</p>
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<p>Scheme of the possible involvement of the transceptor SsNRT1.1C and the transcription factor SsHINT1 in the activation of gene expression of the SOS1–SOS3 cascade of proteins, transcription factor DREB2B, and Lea-type defense protein RD29A under salt stress according to [<a href="#B60-ijms-25-13648" class="html-bibr">60</a>]. Under conditions of salt stress, the SsNRT1.1C transceptor, which is localized in ER, initiates the relocation of the transcription factor SsHINT1 into the nucleus, which induces the expression of the SOS1–SOS3, DREB2B, and RD29A genes, resulting in Na<sup>+</sup> export from cytoplasm by the PM-localized SOS1 or the tonoplast-localized NHX-type Na<sup>+</sup>/H<sup>+</sup>- antiporters.</p>
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<p>Relative abundance of <span class="html-italic">SaNPF6.3</span> transcripts in <span class="html-italic">S. altissima</span> plants. (<b>A</b>) <span class="html-italic">SaNPF6.3</span> expression in roots, stems and leaves with different NaCl concentrations in the nutrient solution and the background of either low (0.5 mM) or high (15 mM) nitrate availability. (<b>B</b>) Dynamics of <span class="html-italic">SaNPF6.3</span> expression in the roots of plants grown under conditions of high nitrate availability following the transfer of the plants to the same medium without nitrate. Data are shown as the means ± SDs from three independent experiments. Bars with different letters are significantly different at <span class="html-italic">p</span> &lt; 0.05. The results were deduced from three biological replicates and each of them was performed in three analytical replicates. The figure is based on the published results of the authors [<a href="#B38-ijms-25-13648" class="html-bibr">38</a>].</p>
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26 pages, 7665 KiB  
Article
Photosynthetic and Physiological Characteristics of Three Common Halophytes and Their Relationship with Biomass Under Salt Stress Conditions in Northwest China
by Xi Zhang, Tao Lin, Hailiang Xu, Guaikui Gao and Haitao Dou
Appl. Sci. 2024, 14(24), 11890; https://doi.org/10.3390/app142411890 - 19 Dec 2024
Viewed by 282
Abstract
Three different types of common halophytes (Haloxylon ammodendron, Tamarix chinensis, and Phragmites australis) in northwest China were used in this study. A field experiment approach was adopted, involving five solutions with different salt concentrations (0, 150, 200, 250, and 300 [...] Read more.
Three different types of common halophytes (Haloxylon ammodendron, Tamarix chinensis, and Phragmites australis) in northwest China were used in this study. A field experiment approach was adopted, involving five solutions with different salt concentrations (0, 150, 200, 250, and 300 mmol·L−1) for salt stress treatment. The changes in photosynthetic characteristics and physiological characteristics of three different types of halophytes and their relationship with biomass were measured and analyzed. The results showed that (1) with the increase in salt concentration, the plant height, stem diameter, and biomass of three halophytes showed a downward trend. (2) The chlorophyll a, chlorophyll b, and total chlorophyll contents of Haloxylon ammodendron and Tamarix chinensis first increased and then decreased with the increase in salt concentration. Phragmites australis showed a decreasing trend. The malondialdehyde content of three halophytes showed a clear increasing trend. (3) Under different salt concentrations, the diurnal changes in the net photosynthetic rate, transpiration rate, stomatal conductance, and water use efficiency of three different types of halophytes all showed an “M” trend. The diurnal variation in intercellular carbon dioxide concentration showed a “W” trend. (4) With the increase in salt concentration, the daily average values of the net photosynthetic rate, transpiration rate, and stomatal conductance of three different types of halophytes showed a downward trend. The daily average value of intercellular carbon dioxide concentration showed a “V”-shaped trend of first decreasing and then increasing. The daily average value of water use efficiency showed a “single peak” trend of first increasing and then decreasing. Haloxylon ammodendron and Phragmites australis were mainly limited by stomata at a salt concentration of 0~200 mmol·L−1 and were mainly limited by non-stomata at a salt concentration of 250~300 mmol·L−1. Tamarix chinensis is mainly limited by stomata at a salt concentration of 0~250 mmol·L−1 and is mainly limited by non-stomata at a salt concentration of 300 mmol·L−1. Compared with Haloxylon ammodendron and Phragmites australis, Tamarix chinensis has better water use efficiency, salt tolerance, and adaptability. (5) Meteorological factors, growth morphological factors, physiological factors, photosynthetic factors, and salt concentration have higher explanatory degrees, which have significant effects on the biomass of halophytes. Among them, salt concentration and growth morphological factors have direct core driving effects on the biomass of three different types of halophytes, while meteorological factors, photosynthetic factors, and physiological factors have different effects due to the differences in and complexity of halophytes. This study can provide a theoretical basis for further revealing the adaptation mechanism of different halophytes to salt stress. Full article
(This article belongs to the Special Issue Recent Advances in Halophytes Plants)
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<p>Overview of the study area. (<b>a</b>) Geographical location of the study area; (<b>b</b>) topography of the study area.</p>
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<p>Daily variation in meteorological factors in the study area.</p>
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<p>Effects of different salt concentration treatments on the growth of halophytes. (<b>a</b>) Plant height. (<b>b</b>) Stem diameter. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05). A total of 375 samples. Same as below.</p>
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<p>Effect of different salt concentration treatments on the physiology of halophytes. (<b>a</b>) Contents of chlorophyll a and chlorophyll b. (<b>b</b>) Contents of total chlorophyll and malondialdehyde. The error bar above the graph represents the standard error. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of daily changes in Pn of halophytes under different salt concentration treatments. (<b>a</b>) Ha. (<b>b</b>) Tc. (<b>c</b>) Pa. (<b>d</b>) Daily average of net photosynthetic rate. The error bar above the graph represents the standard error. The same below. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of daily changes in Tr of halophytes under different salt concentration treatments. (<b>a</b>) Ha. (<b>b</b>) Tc. (<b>c</b>) Pa. (<b>d</b>) Daily average of transpiration rate. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of daily changes in Gs of halophytes under different salt concentration treatments. (<b>a</b>) Ha. (<b>b</b>) Tc. (<b>c</b>) Pa. (<b>d</b>) Daily average of stomatal conductance. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of daily changes in Ci of halophytes under different salt concentration treatments. (<b>a</b>) Ha. (<b>b</b>) Tc. (<b>c</b>) Pa. (<b>d</b>) Daily average of intercellular carbon dioxide concentration. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Characteristics of daily changes in Wue of halophytes under different salt concentration treatments. (<b>a</b>) Ha. (<b>b</b>) Tc. (<b>c</b>) Pa. (<b>d</b>) Daily average of water use efficiency. Different lowercase letters in the graphs indicate significant differences under different salt concentration treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of different salt concentration treatments on biomass of halophytes. The error bar above the graph represents the standard error.</p>
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<p>Relationship between different ecological factors and biomass of halophytes. (<b>a</b>) RDA ordination plot of ecological factors versus halophytes biomass; (<b>b</b>) degree of explanation of halophyte biomass by each ecological factor; “ACO2” is atmospheric carbon dioxide concentration. “Tr” is transpiration rate. “TChl” is total chlorophyll. “Wue” is water use efficiency. “Rh” is relative humidity. “Gs” is stomatal conductance. “Pn” is net photosynthetic rate. “Ta” is atmospheric temperature. “Cb” is chlorophyll b. “D” is stem diameter. “Ci” is intercellular carbon dioxide concentration. “Ca” is chlorophyll a. “MDA” is malondialdehyde. “H” is plant height. “Sc” is salt concentration. “TB” is total biomass. * represents <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Structural equation modeling of different ecological factors and biomass of halophytes. (<b>a</b>) Structural equation modeling of different ecological factors with Ha biomass; (<b>b</b>) structural equation modeling of different ecological factors with Tc biomass; (<b>c</b>) structural equation modeling of different ecological factors with Pa biomass; (<b>d</b>) direct and indirect effects of different ecological factors on Ha biomass; (<b>e</b>) direct and indirect effects of different ecological factors on Tc biomass; (<b>f</b>) direct and indirect effects of different ecological factors on Pa biomass; blue arrows in the figure represent positive correlations, and orange arrows represent negative correlations. A solid line indicates a significant effect, and a dashed line indicates a non-significant effect. The numbers next to the arrows are standardized path coefficients, which reflect the magnitude of the effect between the variables. The width of the arrows is proportional to the standardized path coefficient. * represents <span class="html-italic">p</span> &lt; 0.05. ** represents <span class="html-italic">p</span> &lt; 0.01. *** represents <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Average survival rate of 12 different plants from 2021 to 2023.</p>
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<p>Comparison of ecological restoration effect before and after. (<b>a</b>) Before ecological restoration; (<b>b</b>) after ecological restoration.</p>
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15 pages, 2788 KiB  
Article
Comparative Salt-Stress Responses in Salt-Tolerant (Vikinga) and Salt-Sensitive (Regalona) Quinoa Varieties. Physiological, Anatomical and Biochemical Perspectives
by Xavier Serrat, Antony Quello, Brigen Manikan, Gladys Lino and Salvador Nogués
Agronomy 2024, 14(12), 3003; https://doi.org/10.3390/agronomy14123003 - 17 Dec 2024
Viewed by 532
Abstract
Soil salinization is an important stress factor that limits plant growth and yield. Increased salinization is projected to affect more than 50% of all arable land by 2050. In addition, the growing demand for food, together with the increase in the world population, [...] Read more.
Soil salinization is an important stress factor that limits plant growth and yield. Increased salinization is projected to affect more than 50% of all arable land by 2050. In addition, the growing demand for food, together with the increase in the world population, forces the need to seek salt-tolerant crops. Quinoa (Chenopodium quinoa Willd.) is an Andean crop of high importance, due to its nutritional characteristics and high tolerance to different abiotic stresses. The aim of this work is to determine the physiological, anatomical, and biochemical salt-tolerance mechanisms of a salt-tolerant (Vikinga) and a salt-sensitive (Regalona) quinoa variety. Plants were subjected to salinity stress for 15 days, starting at 100 mM NaCl until progressively reaching 400 mM NaCl. Physiological, anatomical, and biochemical parameters including growth, chlorophyll content, quantum yield of PSII (ϕPSII), gas exchange, stomatal density, size, and lipid peroxidation (via malondialdehyde, MDA) were measured. Results show that chlorophyll content, ϕPSII, and MDA were not significantly reduced under saline stress in both varieties. The most stress-affected process was the CO2 net assimilation, with an up to 60% reduction in both varieties, yet Vikinga produced higher dry weight than Regalona due to the number of leaves. The stomatal densities increased under salinity for both varieties, with Regalona the one showing higher values. The averaged stomatal size was also reduced under salinity in both varieties. The capacity of Vikinga to generate higher dry weight is a function of the capacity to generate greater amounts of leaves and roots in any condition. The stomatal control is a key mechanism in quinoa’s salinity tolerance, acquiring higher densities with smaller sizes for efficient management of water loss and carbon assimilation. These findings highlight the potential of Vikinga for cultivation in temperate salinized environments during winter, such as Deltas and lowlands where rice is grown during summer. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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<p>Scheme summarizing the experiment. Grey to black colors represent low (100 mM) to high (400 mM) NaCl concentration in the nutritive solutions.</p>
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<p>Growth measurements of Vikinga and Regalona varieties under salinity conditions (400 mM NaCl): (<b>A</b>) plant height (cm); (<b>B</b>) fresh weight of the whole plant (g) and fresh weight of the leaves (dark grey), stem (pale grey), and root (black); (<b>C</b>) shoot/root ratio; (<b>D</b>) dry weight (g) of the whole plant and dry weight of the leaves (dark grey), stem (pale grey), and root (black). Data are means of twenty-four repetitions (<span class="html-italic">n</span> = 24) ± standard error. According to Tukey’s multiple-comparisons test, significant differences with a <span class="html-italic">p</span> &lt; 0.05 have been represented with different letters.</p>
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<p>(<b>A</b>) SPAD, (<b>B</b>) quantum yield of photosystem II, (<b>C</b>) net CO<sub>2</sub> assimilation (A<sub>n</sub>), (<b>D</b>) stomatal conductance (g<sub>s</sub>), (<b>E</b>) intercellular concentration of CO<sub>2</sub> (C<sub>i</sub>), and (<b>F</b>) leaf temperature for Vikinga (closed bars) and Regalona (open bars) varieties. Data are means of twenty-four repetitions (n = 24) ±standard error. According to Tukey’s multiple-comparisons test, significant differences with a <span class="html-italic">p</span> &lt; 0.05 have been represented with different letters.</p>
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<p>(<b>A</b>) Stomatal density of the adaxial surface of the leaves and (<b>B</b>) Stomatal density of the abaxial surface of the leaves for Vikinga (black bars) and Regalona (white bars) varieties. According to Tukey’s multiple—comparisons test, significant differences with a <span class="html-italic">p</span> &lt;0.05.</p>
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<p>(<b>A</b>,<b>B</b>) Microscopic images of the adaxial and abaxial surface of the Vikinga variety in the control treatment. (<b>C</b>,<b>D</b>) Microscopic images of the adaxial and abaxial surface of the Regalona variety under control treatment. (<b>E</b>,<b>F</b>) Microscopic images of the adaxial and abaxial surface, respectively, of the Vikinga variety in the saline treatment (400 mM NaCl). (<b>G</b>,<b>H</b>) Microscopic images of the adaxial and abaxial surface, respectively, of the Regalona variety in the saline treatment (400 mM NaCl).</p>
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<p>Length and width of adaxial and abaxial stomata comparing Vikinga and Regalona under salinity (400 mM NaCl) and control conditions (0 mM NaCl). Data means of thirty-two repetitions (n = 32) ± standard error. According to Tukey’s multiple-comparisons test, significant differences with a <span class="html-italic">p</span> &lt; 0.05 have been represented with capital letters when comparing stomata lengths and lower-case letters when comparing widths.</p>
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<p>MDA values (nm g<sup>−1</sup> PF) for Vikinga (black bars) and Regalona (white bars). The MDA data are means of four repetitions (n = 4). According to Tukey’s multiple-comparisons test, significant differences with a <span class="html-italic">p</span> &lt; 0.05 have been represented with different letters.</p>
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16 pages, 4560 KiB  
Article
Arbuscular Mycorrhizal Fungi as a Salt Bioaccumulation Mechanism for the Establishment of a Neotropical Halophytic Fern in Saline Soils
by Mónica A. Lugo, María A. Negritto, Esteban M. Crespo, Hebe J. Iriarte, Samuel Núñez, Luisa F. Espinosa and Marcela C. Pagano
Microorganisms 2024, 12(12), 2587; https://doi.org/10.3390/microorganisms12122587 - 13 Dec 2024
Viewed by 460
Abstract
Acrostichum aureum is a halophytic pantropical invasive fern growing in mangroves and swamps. Its association with arbuscular mycorrhizal fungi (AMF) has been reported in Asia. AMF and their symbiosis (AM) commonly colonise the absorption organs of terrestrial plants worldwide. Furthermore, AMF/AM are well [...] Read more.
Acrostichum aureum is a halophytic pantropical invasive fern growing in mangroves and swamps. Its association with arbuscular mycorrhizal fungi (AMF) has been reported in Asia. AMF and their symbiosis (AM) commonly colonise the absorption organs of terrestrial plants worldwide. Furthermore, AMF/AM are well known for their capacity to bioaccumulate toxic elements and to alleviate biotic and abiotic stress (e.g., salinity stress) in their hosts. However, the mechanisms underlying AMF involvement in the halophytism of A. aureum and the structures where NaCl accumulates remain unknown. This study shows that A. aureum forms AM in margins of natural thermal ponds in Neotropical wetlands. All mature sporophytes were colonised by AMF, with high percentages for root length (ca. 57%), arbuscules (23), and hyphae (25) and low values for vesicles (2%). In A. aureum–AMF symbiosis, NaCl accumulated in AMF vesicles, and CaSO4 precipitated in colonised roots. Therefore, AM can contribute to the halophytic nature of this fern, allowing it to thrive in saline and thermal environments by capturing NaCl from fern tissues, compartmentalising it inside its vesicles, and precipitating CaSO4. Full article
(This article belongs to the Section Plant Microbe Interactions)
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<p>Sampling site in El Volcán thermal ponds, near the Córdoba River mouth in the Caribbean Sea, Magdalena Department, Colombia.</p>
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<p><span class="html-italic">Acrostichum aureum</span> in the El Volcán thermal ponds, Córdoba River, Colombia. (<b>a</b>) Fern sporophytes growing on the margin. (<b>b</b>) Frond of <span class="html-italic">A. aureum</span> exhibiting fertile and non-fertile pinnae. Photo credits: (<b>a</b>), María A. Negritto; (<b>b</b>), Samuel Núñez.</p>
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<p>Colonisation by AMF in fine roots of <span class="html-italic">Acrostichum aureum</span>. (<b>a</b>) General view of a fern root colonised by AMF; (<b>b</b>) AMF vesicles; (<b>c</b>) AMF hyphal coils and arbuscules; (<b>d</b>) AMF arbuscules. Arrowheads indicate illustrated structures. Photo credit: Mónica A. Lugo.</p>
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<p>AMF structures outside and inside fine roots of <span class="html-italic">Acrostichum aureum</span> with dense cytoplasmic content (arrowhead). (<b>a</b>) AMF hypha; (<b>b</b>) AMF spores outside roots; (<b>c</b>) AMF vesicles; (<b>d</b>) AMF arbuscules inside roots. Photo credit: Mónica A. Lugo.</p>
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<p>Salt crystals inside AMF vesicles. (<b>a</b>) Vesicles of AMF with NaCl crystals (indicated by the arrowhead) observed under optical microscope. (<b>b</b>) The EDX analysis of the crystals in the vesicles showed the elemental composition of NaCl. NaCl crystals and each salt element are indicated by arrowheads. Photo credit: Mónica A. Lugo.</p>
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<p>Salts accumulated inside roots of <span class="html-italic">Acrostichum aureum</span> analysed by SEM-EDX. (<b>a</b>) SEM image of amorphous crystals obtained with the backscattered electron detector (black arrowhead). (<b>b</b>) X-ray mapping indicating the distribution of S in an <span class="html-italic">A. aureum</span> root (red arrowhead). (<b>c</b>) X-ray mapping indicating the distribution of Ca in the root (yellow arrowhead). (<b>d</b>) EDX spectrum of amorphous crystals, showing their CaSO<sub>4</sub> composition (red and yellow arrowheads).</p>
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7 pages, 157 KiB  
Perspective
Emerging Alternatives to Mitigate Agricultural Fresh Water and Climate/Ecosystem Issues: Agricultural Revolutions
by Dennis M. Bushnell
Water 2024, 16(24), 3589; https://doi.org/10.3390/w16243589 - 13 Dec 2024
Viewed by 471
Abstract
Fresh-water food production/agriculture for both plants and animals utilizes some 70% of the planets’ fresh water, produces some 26% of greenhouse gas emissions and has a longish list of other societal-related issues. Given the developing and extant shortages of arable land, fresh water [...] Read more.
Fresh-water food production/agriculture for both plants and animals utilizes some 70% of the planets’ fresh water, produces some 26% of greenhouse gas emissions and has a longish list of other societal-related issues. Given the developing and extant shortages of arable land, fresh water and food, along with climate/ecosystem issues, there is a need to greatly reduce these adverse effects of fresh-water agriculture. There are, especially since the advent of the 4th Agricultural Revolution, a number of major frontier technologies and functionality changes along with prospective alternatives which could, when combined and collectivized in various ways, massively improve the practices, adverse impacts and outlook of food production. These include cellular/factory agriculture; photosynthesis alternatives; a shift to off-grids and roads/back-to-the-future, do-it-yourself living (aka de-urbanization); cultivation of halophytes on wastelands using saline water; insects; frontier energetics; health-related market changes; and vertical farms/hydroponics/aeroponics. Shifting to these and other prospective alternatives would utilize far less arable land and fresh water, produce far less greenhouse gases and reduce food costs and pollution while increasing food production. Full article
20 pages, 2139 KiB  
Article
Beneficial Microorganisms: Sulfur-Oxidizing Bacteria Modulate Salt and Drought Stress Responses in the Halophyte Plantago coronopus L.
by Aleksandra Koźmińska, Mohamad Al Hassan, Wiktor Halecki, Cezary Kruszyna and Ewa Hanus-Fajerska
Sustainability 2024, 16(24), 10866; https://doi.org/10.3390/su162410866 - 11 Dec 2024
Viewed by 572
Abstract
Land degradation due to salinity and prolonged drought poses significant global challenges by reducing crop yields, depleting resources, and disrupting ecosystems. Halophytes, equipped with adaptive traits for drought and soil salinity, and their associations with halotolerant microbes, offer promising solutions for restoring degraded [...] Read more.
Land degradation due to salinity and prolonged drought poses significant global challenges by reducing crop yields, depleting resources, and disrupting ecosystems. Halophytes, equipped with adaptive traits for drought and soil salinity, and their associations with halotolerant microbes, offer promising solutions for restoring degraded areas sustainably. This study evaluated the effects of halophilic sulfur-oxidizing bacteria (SOB), specifically Halothiobacillus halophilus, on the physiological and biochemical responses of the halophyte Plantago coronopus L. under drought and salt stress. We analyzed the accumulation of ions (Na, Cl, K) and sulfur (S), along with growth parameters, glutathione levels, photosynthetic pigments, proline, and phenolic compounds. Drought significantly reduced water content (nearly 10-fold in plants without SOB and 4-fold in those with SOB). The leaf growth tolerance index improved by 70% in control plants and 30% in moderately salt-stressed plants (300 mM NaCl) after SOB application. SOB increased sulfur content in all treatments except at high salinity (600 mM NaCl), reduced toxic sodium and chloride ion accumulation, and enhanced potassium levels under drought and moderate salinity. Proline, total phenolic, and malondialdehyde (MDA) levels were highest in drought-stressed plants, regardless of SOB inoculation. SOB inoculation increased GSH levels in both control and 300 mM NaCl-treated plants, while GSSG levels remained constant. These findings highlight the potential of SOB as beneficial microorganisms to enhance sulfur availability and improve P. coronopus tolerance to moderate salt stress. Full article
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<p>Elemental contents: sodium (<b>A</b>); potassium (<b>B</b>); chloride (<b>C</b>); K/Na ratio (<b>D</b>); sulfur (<b>E</b>); in <span class="html-italic">P. coronopus</span> subjected to drought and sodium chloride (300 and 600 mM NaCl) and sulfur-oxidizing bacteria. SOB—<span class="html-italic">Halothiobacillus halophilus</span>-inoculated substrate, non-SOB-non-inoculated substrate. Different lowercase letters indicate significant differences between plants cultivated on non-inoculated substrate by SOB within different stress treatments. Different capital letters indicate statistically significant differences between plants cultivated on substrate inoculated by SOB within different stress treatments. * Indicates statistically significant differences between inoculated and non-inoculated plants within the same stress treatment, according to Tukey’s test (α = 0.05), ±SE, n = 5.</p>
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<p>PCA for K/Na, S, K, Cl, and Na; KMO = 0.62; <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Photosynthetic pigments: chlorophyll a (chl.a), chlorophyll b (chl.b), and carotenoids (car.) in <span class="html-italic">P. coronopus</span> subjected to drought, sodium chloride (300 and 600 mM NaCl) and sulfur-oxidizing bacteria.</p>
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<p>PCA for GSH, GSSG, and GSH/GSSG. KMO = 0.34; <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>(<b>A</b>). Box plot of proline (Pro), across experimental treatments. (<b>B</b>). Box plot of TPC across experimental treatments. (<b>C</b>). Box plot of MDA across experimental treatments. (<b>D</b>). Box plot of DPPH across experimental treatments.</p>
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<p>(<b>A</b>). Box plot of proline (Pro), across experimental treatments. (<b>B</b>). Box plot of TPC across experimental treatments. (<b>C</b>). Box plot of MDA across experimental treatments. (<b>D</b>). Box plot of DPPH across experimental treatments.</p>
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15 pages, 3205 KiB  
Article
Impact of Salinity Gradients on Seed Germination, Establishment, and Growth of Two Dominant Mangrove Species Along the Red Sea Coastline
by Fahad Kimera, Basma Sobhi, Mostafa Omara and Hani Sewilam
Plants 2024, 13(24), 3471; https://doi.org/10.3390/plants13243471 - 11 Dec 2024
Viewed by 410
Abstract
Background: Mangroves are one of the key nature-based solutions that mitigate climate change impacts. Even though they are halophytic in nature, seedlings are vulnerable to high salinity for their establishment. This study investigated the effects of different salinities on seedling growth and mineral [...] Read more.
Background: Mangroves are one of the key nature-based solutions that mitigate climate change impacts. Even though they are halophytic in nature, seedlings are vulnerable to high salinity for their establishment. This study investigated the effects of different salinities on seedling growth and mineral element composition of two dominant species (Avicennia marina and Rhizophora mucronata). Methods: The study followed a randomized complete block design, i.e., main treatments (growing environment in greenhouse (GH) or net house (NH)) and four sub-treatments under 21 replicates, i.e., irrigation with 100% freshwater (0.4%o—T1), 100% saline water (35%o—T2), 50% saline water and 50% freshwater (18%o—T3), and brine water (60%o—T4). Results: Results revealed that A. marina seeds can optimally germinate and survive well reaching 80% in NH under T1. However, T2 and T4 seedlings had the lowest survival. Mineral element analysis showed that A. marina grown under NH recorded higher levels of Ca, Mg, and K which increased with increasing levels of salinity. The opposite was true with Na levels. R. mucronata on the other hand, recorded completely opposite findings with T1 seedlings reaching 95% in the greenhouse while T3 reached almost 60%. Conclusions: It can be concluded that mangrove species can optimally germinate and grow in both freshwater and 50% saline water, but growth reduction occurs with seawater and complete growth inhibition with brine water. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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<p>Mangrove locations and distribution along the Egyptian Red Sea coastline, adopted from [<a href="#B6-plants-13-03471" class="html-bibr">6</a>].</p>
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<p>Germination and survival rates of two mangrove species were assessed eight months after sowing, encompassing the entire seedling development period. The absence of some lines in the Figure means that the plants never germinated, and hence, no survival was recorded. T1: freshwater, T2: seawater, T3: mixed water, T4: brine.</p>
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<p>Final seedling height for both species at the end of the study period. GH: greenhouse, NH: net house, T1: freshwater, T2: seawater, T3: mixed water, T4: brine. Bars having different small letters above them under the same treatments mean a significant difference between them at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Leaf blade length of both species. The absence of some lines in the Figure means that the plants never germinated, and hence, no leaf parameters were recorded: T1: freshwater, T2: seawater, T3: mixed water, T4: brine.</p>
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<p>Leaf blade width of both species. The absence of some lines in the Figure means that the plants never germinated, and hence, no leaf parameters were recorded: T1: freshwater, T2: seawater, T3: mixed water, T4: brine.</p>
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<p>Leaves survivability in both mangrove species. The absence of some lines in the Figure means that the plants never germinated, and hence, no leaf survival was recorded. T1: freshwater, T2: seawater, T3: mixed water, T4: brine.</p>
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<p>Sodium concentration in different parts of the seedlings at the end of the experimental period. T1: freshwater, T2: seawater, T3: mixed water, T4: brine water.</p>
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<p>Experimental design and setup.</p>
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18 pages, 4334 KiB  
Article
Phytochemical Analysis and Multifaceted Biomedical Activities of Nitraria retusa Extract as Natural Product-Based Therapies
by Manal M. Khowdiary, Zinab Alatawi, Amirah Alhowiti, Mohamed A. Amin, Hussam Daghistani, Faisal Miqad K. Albaqami, Mohamed Ali Abdel-Rahman, Ahmed Ghareeb, Nehad A. Shaer, Ahmed M. Shawky and Amr Fouda
Life 2024, 14(12), 1629; https://doi.org/10.3390/life14121629 - 9 Dec 2024
Viewed by 549
Abstract
This study examined the phytochemical profile and biomedical activities of Nitraria retusa, a halophytic and drought-resistant shrub. HPLC analysis showed gallic acid (1905.1 μg/g), catechin (1984.1 μg/g), and ellagic acid (2671.1 μg/g) as the primary constituents, while FT-IR analysis revealed a complex [...] Read more.
This study examined the phytochemical profile and biomedical activities of Nitraria retusa, a halophytic and drought-resistant shrub. HPLC analysis showed gallic acid (1905.1 μg/g), catechin (1984.1 μg/g), and ellagic acid (2671.1 μg/g) as the primary constituents, while FT-IR analysis revealed a complex organic profile with significant functional groups. The extract demonstrated strong antioxidant activity in DPPH assays, outperforming ascorbic acid (IC50 = 18.7 ± 1.0 μg/mL) with an IC50 of 16.4 ± 4.4 μg/mL. It demonstrated specific antiproliferative effects on cancer cell lines as it showed selective cytotoxicity against cancer cell lines; normal WI38 cells were largely unaffected, showing 50.0% viability at 125 μg/mL. The most sensitive cell line was Caco2, which showed 50.0% viability at 125 μg/mL. Anti-diabetic properties were exhibited by means of inhibition of α-amylase (IC50 = 68.2 ± 4.2 μg/mL) and α-glucosidase (IC50 = 22.8 ± 3.3 μg/mL). Additionally, antimicrobial activity was observed to be broad-spectrum, and it was most effective against E. coli (32.6 mm inhibition zone at 400 μg/mL) and Penicillium glabrum (35.3 mm at 400 μg/mL). These findings highlight the potential of N. retusa in developing plant-based therapeutic approaches. Full article
(This article belongs to the Special Issue Advances in the Biomedical Applications of Plants and Plant Extracts)
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<p><span class="html-italic">N. retusa</span> plant collected from Wadi Hagul, Eastern Desert, Egypt.</p>
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<p>HPLC standards used in the current investigation.</p>
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<p>Phytochemical fingerprint of <span class="html-italic">Nitraria retusa</span> extract based on HPLC analysis.</p>
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<p>DPPH radical scavenging activity of <span class="html-italic">Nitraria retusa</span> extract vs. ascorbic acid (1.95–1000 μg/mL, n = 3). Different letters (a and b) on the bars indicate significant differences between treatments at the same concentration. *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences from control group (<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, respectively); (n = 3).</p>
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<p>Dose-dependent cytotoxicity of plant extract on Wi38, Caco2, and Mcf7 cell lines. Data represents mean cell viability (%). Different letters (a, b, and c) on the bars at the same concentration indicate significant differences. *, **, and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences from control group (<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, respectively); (n = 3).</p>
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<p>Dose-dependent α-amylase inhibition by <span class="html-italic">Nitraria retusa</span> extract vs. acarbose (1.95–1000 μg/mL). Different letters (a and b) on the bars at the same concentration indicate significant differences. *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences from control group (<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, respectively); (n = 3).</p>
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<p>Profiles of glucosidase inhibition by plant extract and acarbose (1.95–1000 μg/mL. Different letters (a and b) on the bars at the same concentration indicate significant differences. *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences from control group (<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, respectively); (n = 3).</p>
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<p>Antimicrobial potency represented as the inhibition zone (mm) of plant extract and control against <span class="html-italic">S. aureus</span>, <span class="html-italic">E. coli</span>, <span class="html-italic">C. albicans</span>, and <span class="html-italic">P. glabrum</span> across concentrations (12.5–400 μg/mL). Different letters (a and b) on the bars at the same concentration indicate significant differences. **, and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences from control group (<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, respectively); (n = 3).</p>
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16 pages, 5243 KiB  
Article
Adaptive Strategy of the Perennial Halophyte Grass Puccinellia tenuiflora to Long-Term Salinity Stress
by Lei Han, Zhanwu Gao, Luhao Li, Changyou Li, Houxing Yan, Binbin Xiao, Yimeng Ma, Huan Wang, Chunwu Yang and Hongwei Xun
Plants 2024, 13(23), 3445; https://doi.org/10.3390/plants13233445 - 8 Dec 2024
Viewed by 608
Abstract
Salinity stress influences plants throughout their entire life cycle. However, little is known about the response of plants to long-term salinity stress (LSS). In this study, Puccinellia tenuiflora, a perennial halophyte grass, was exposed to 300 mM NaCl for two years (completely [...] Read more.
Salinity stress influences plants throughout their entire life cycle. However, little is known about the response of plants to long-term salinity stress (LSS). In this study, Puccinellia tenuiflora, a perennial halophyte grass, was exposed to 300 mM NaCl for two years (completely randomized experiment design with three biological replicates). We measured the photosynthetic parameters and plant hormones and employed a widely targeted metabolomics approach to quantify metabolites. Our results revealed that LSS induced significant metabolic changes in P. tenuiflora, inhibiting the accumulation of 11 organic acids in the leaves and 24 organic acids in the roots and enhancing the accumulation of 15 flavonoids in the leaves and 11 phenolamides in the roots. The elevated accumulation of the flavonoids and phenolamides increased the ability of P. tenuiflora to scavenge reactive oxygen species. A comparative analysis with short-term salinity stress revealed that the specific responses to long-term salinity stress (LSS) included enhanced flavonoid accumulation and reduced amino acid accumulation, which contributed to the adaptation of P. tenuiflora to LSS. LSS upregulated the levels of abscisic acid in the leaves and ACC (a direct precursor of ethylene) in the roots, while it downregulated the levels of cytokinins and jasmonic acids in both the organs. These tolerance-associated changes in plant hormones would be expected to reprogram the energy allocation among growth, pathogen defense, and salinity stress response. We propose that abscisic acid, ethylene, cytokinins, and jasmonic acids may interact with each other to construct a salinity stress response network during the adaptation of P. tenuiflora to LSS, which mediates salinity stress response and significant metabolic changes. Our results provided novel insights into the plant hormone-regulated metabolic response of the plants under LSS, which can enhance our understanding of plant salinity tolerance. Full article
(This article belongs to the Special Issue Abiotic Stress Responses in Plants)
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<p>Effects of long-term salinity stress on photosynthesis of <span class="html-italic">Puccinellia tenuiflora</span>. (<b>a</b>) <span class="html-italic">E</span>, transpiration rate; (<b>b</b>) <span class="html-italic">P</span><sub>N</sub>, net photosynthetic rate; (<b>c</b>) <span class="html-italic">gs</span>, stomatal conductance; (<b>d</b>) Fv/Fm, maximum quantum efficiency of photosystem II (PSII); (<b>e</b>) ETR, electron transport rate; (<b>f</b>) PhiPS2, real quantum efficiency of PSII; (<b>g</b>) Fv′/Fm′, effective quantum efficiency of PSII; (<b>h</b>) qN, non-photochemical quenching; (<b>i</b>) qP, photochemical quenching. <span class="html-italic">P. tenuiflora</span> was treated with a nutrient solution with 300 mM NaCl (stress treatment group, SG) or without NaCl (control group, CG) for two years. Each treatment has three biological replicates. The values are expressed as means of three biological replicates (±S.D.). The asterisk indicates a significant difference between control and stress treatments (<span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of long-term salinity stress on membrane damage of <span class="html-italic">Puccinellia tenuiflora</span>. (<b>a</b>) superoxide (O<sub>2</sub><sup>•−</sup>) production rate; (<b>b</b>) malondialdehyde (MDA) concentration; (<b>c</b>) leaf electrolyte leakage rate. <span class="html-italic">P. tenuiflora</span> was supplied with a nutrient solution with 300 mM NaCl (stress treatment group, SG) or without NaCl (control group, CG) for two years. Each treatment has three biological replicates. The values are expressed as means of three biological replicates (±S.D.). The asterisk indicates a significant difference between control and stress treatments (<span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The principal component analysis of the metabolic profiles (<b>a</b>) and the Venn diagram of differentially accumulated metabolites (<b>b</b>) in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was supplied with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. Each treatment has three biological replicates.</p>
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<p>Metabolic response of <span class="html-italic">Puccinellia tenuiflora</span> to long-term salinity stress. <span class="html-italic">P. tenuiflora</span> was supplied with a nutrient solution with 300 mM NaCl (stress treatment) or without NaCl (control) for two years. Each treatment has three biological replicates. The red color indicates a significant difference between control and stress treatments. TCA, tricarboxylic acid; PEP, phosphoenolpyruvate; E<sub>4</sub>P, erythritose-4-phosphate; AR, apigenin-7-O-rutinoside; ACG, apigenin-7-O-(6″-p-coumaryl)glucoside; L3G, limocitrin-3-O-glucoside; L7G, limocitrin-7-O-glucoside; TN, tricin-7-O-neohesperidoside; TSEG, tricin-<span class="html-italic">4</span>′<span class="html-italic">-O</span>-(syringyl alcohol)ether-<span class="html-italic">5-O</span>-glucoside; TGG, Tricin-4′-O-glucoside-7-O-glucoside; TGEG, tricin-<span class="html-italic">4</span>′<span class="html-italic">-O</span>-(guaiacylglycerol)ether-<span class="html-italic">7-O</span>-glucoside; 13-KODE, (<span class="html-italic">9Z</span>,<span class="html-italic">11E</span>)-13-Oxooctadeca-9,11-dienoic acid; 12,13-DHOME, (<span class="html-italic">9Z</span>)-12,13-dhydroxyoctadec-9-enoic acid; 5S,8R-DiHODE, (<span class="html-italic">5S</span>,<span class="html-italic">8R</span>,<span class="html-italic">9Z</span>,<span class="html-italic">12Z</span>)-5,8-dihydroxyoctadeca-9,12-dienoate; 9S-HOTrE, 9-hydroxy-10,12,15-octadecatrienoic acid; 12-OxoETE, 12-oxo-5,8,10,14-eicosatetraenoic acid; 5-HETE, 5-hydroxy-6,8,11,14-eicosatetraenoic acid; DHA, cis-4,7,10,13,16,19-docosahexaenoic acid.</p>
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<p>Effects of long-term salinity stress on the relative concentrations of amino acids and amino acid derivatives in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was irrigated with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. Each treatment has three biological replicates. The red color indicates a significant difference between control and stress treatments. L-Dopa, 3,4-dihydroxy-L-phenylalanine.</p>
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<p>Effects of long-term salinity stress on the relative concentrations of organic acids, phenolamides, free fatty acids, carbohydrates, and vitamins in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was irrigated with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. The red color indicates a significant difference between control and stress treatments. 13-KODE, (<span class="html-italic">9Z</span>,<span class="html-italic">11E</span>)-13-Oxooctadeca-9,11-dienoic acid; 12,13-DHOME, (<span class="html-italic">9Z</span>)-12,13-dihydroxyoctadec-9-enoic acid; 5S,8R-DiHODE, (5S,8R,9Z,12Z)-5,8-dihydroxyoctadeca-9,12-dienoate; 9S-HOTrE, 9-hydroxy-10,12,15-octadecatrienoic acid; 12-OxoETE, 12-oxo-5,8,10,14-eicosatetraenoic acid; 5S-HETE, 5-hydroxy-6,8,11,14-eicosatetraenoic acid; DHA, cis-4,7,10,13,16,19-docosahexaenoic acid.</p>
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<p>Effects of long-term salinity stress on the relative concentrations of flavonoids in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was irrigated with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. Each treatment has three biological replicates. The red color indicates a significant difference between control and stress treatments. TGAGE, tricin-4′-<span class="html-italic">O</span>-[β-guaiacyl-(9″-<span class="html-italic">O</span>-acetyl)glycerol]ether; TSEG, tricin-4′-<span class="html-italic">O</span>-(syringyl alcohol)ether-5-<span class="html-italic">O</span>-glucoside; TGCGE, tricin-4′-<span class="html-italic">O</span>-[β-guaiacyl-(9″-<span class="html-italic">O</span>-p-coumaroyl)glycerol]ether; TGEG, tricin-4′-<span class="html-italic">O</span>-(guaiacylglycerol)ether-7-<span class="html-italic">O</span>-glucoside; AFGG, apigenin-7-<span class="html-italic">O</span>-(2″-feruloyl)glucuronide-4′-<span class="html-italic">O</span>-glucuronide; KAGG, kaempferol-3-<span class="html-italic">O</span>-(6″-acetyl)glucosyl-(1→3)-galactoside; TDGR, 5,7,4′-trihydroxy-6,8-dimethoxyisoflavone-7-<span class="html-italic">O</span>-galactoside-rhamnose.</p>
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<p>Effects of long-term salinity stress on the concentrations of plant hormones in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was irrigated with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. Each treatment has three biological replicates. The asterisk indicates a significant difference between control and stress treatments (<span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Models of response to long-term salinity stress in <span class="html-italic">Puccinellia tenuiflora. P. tenuiflora</span> was irrigated with a nutrient solution containing (stress treatment) or not (control) 300 mM NaCl for two years. The response under long-term salinity stress in the roots was represented by the orange line, whereas the response in the leaves was represented by the green line. The response in both the roots and leaves is represented by the black line. The asterisk indicates a significant difference between and stress treatments (<span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.05). “?” indicates a conjectural role.</p>
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12 pages, 3281 KiB  
Article
Evaluation of Sodium Chloride Concentrations on Growth and Phytochemical Production of Mesembryanthemum crystallinum L. in a Hydroponic System
by Giju Eoh, Chulhyun Kim, Jiwon Bae and Jongseok Park
Horticulturae 2024, 10(12), 1304; https://doi.org/10.3390/horticulturae10121304 - 6 Dec 2024
Viewed by 462
Abstract
Mesembryanthemum crystallinum L., commonly known as the ice plant, is a halophyte recognized for its exceptional salinity tolerance. This study aimed to determine the optimal NaCl concentration for promoting plant growth, D-pinitol, and other phytochemicals in M. crystallinum cultivated in a hydroponics system. [...] Read more.
Mesembryanthemum crystallinum L., commonly known as the ice plant, is a halophyte recognized for its exceptional salinity tolerance. This study aimed to determine the optimal NaCl concentration for promoting plant growth, D-pinitol, and other phytochemicals in M. crystallinum cultivated in a hydroponics system. Seedlings of M. crystallinum were transplanted into a hydroponic system and subjected to different NaCl concentrations (0, 100, 200, 300, 400, and 500 mM) in the nutrient solution. To evaluate the plant’s response to salinity stress, measurements were conducted on growth parameters, chlorophyll and carotenoid levels, total flavonoid and polyphenol contents, and DPPH scavenging activity. The optimal NaCl concentration for growth was found to be 200 mM, at which the shoot fresh and dry weights were highest. Additionally, total chlorophyll and carotenoid contents were maximized at 200 mM NaCl, with a subsequent decrease at higher concentrations. The highest DPPH scavenging activity was observed in the 200 mM NaCl treatment, which correlated with increased levels of total flavonoids and polyphenols. These results indicated that optimizing NaCl concentration can enhance the antioxidant activity of Mesembryanthemum crystallinum L. The D-pinitol content also peaked at 200 mM NaCl treatment, further supporting its role osmotic adjustment under salinity stress. M. crystallinum exhibited enhanced antioxidant production and cellular protective functions at 200 mM NaCl, which optimized its biochemical defense mechanisms and helped maintain physiological functions under salinity stress. These findings provide valuable insights for agricultural and biological applications, particularly in cultivating M. crystallinum for its bioactive compounds. Full article
(This article belongs to the Section Plant Nutrition)
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<p>Shoot fresh weight (<b>A</b>), shoot dry weight (<b>B</b>), root fresh weight (<b>C</b>), and root dry weight (<b>D</b>) of <span class="html-italic">Mesembryanthemum crystallinum</span> L. grown at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM) at 5 weeks after transplanting. Data are represented as mean values ± standard error of three replicates (<span class="html-italic">n</span> = 10). Different letters above the bars indicate significant differences between treatments via Tukey’s HSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Morphology of <span class="html-italic">M. crystallinum</span>. NaCl was stressed at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM) after 4 weeks of treatment.</p>
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<p>Ratio of shoot/root FW (<b>A</b>), ratio of shoot/root DW (<b>B</b>), leaf water content (<b>C</b>) of <span class="html-italic">Mesembryanthemum crystallinum</span> L. grown at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM). Data are represented as mean values ± standard error of three replicates (<span class="html-italic">n</span> = 10). Different letters above the bars indicate significant differences between treatments via Tukey’s HSD test at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Total chlorophyll (<b>A</b>), total carotenoids (<b>B</b>) in <span class="html-italic">Mesembryanthemum crystallinum</span> L. grown at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM). Values are calculated as means ± standard error of three replicates (<span class="html-italic">n</span> = 10). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Total flavonoids (<b>A</b>), total phenolic contents (<b>B</b>), and D-pinitol concentration (<b>C</b>) in <span class="html-italic">Mesembryanthemum crystallinum</span> L. grown at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM). Values are calculated as means ± standard error of three replicates (<span class="html-italic">n</span> = 10 for (<b>A</b>,<b>B</b>), <span class="html-italic">n</span> = 3 for (<b>C</b>)). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>DPPH radical scavenging activity in <span class="html-italic">Mesembryanthemum crystallinum</span> L. grown at different NaCl concentrations (0, 100, 200, 300, 400, 500 mM). Values are calculated as means ± standard error of three replicates (<span class="html-italic">n</span> = 3). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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20 pages, 5881 KiB  
Article
The Growth and Ion Absorption of Sesbania (Sesbania cannabina) and Hairy Vetch (Vicia villosa) in Saline Soil Under Improvement Measures
by You Wu, Rui Liu, Wei Si, Jiale Zhang, Jianhua Yang, Zhenxin Qiu, Renlei Luo and Yu Wang
Plants 2024, 13(23), 3413; https://doi.org/10.3390/plants13233413 - 5 Dec 2024
Viewed by 388
Abstract
Soil salinization is a serious threat to the ecological environment and sustainable agricultural development in the arid regions of northwest China. Optimal soil salinization amelioration methods were eagerly explored under different soil salinity levels. Sesbania and hairy vetch are salt-tolerant plants, and green [...] Read more.
Soil salinization is a serious threat to the ecological environment and sustainable agricultural development in the arid regions of northwest China. Optimal soil salinization amelioration methods were eagerly explored under different soil salinity levels. Sesbania and hairy vetch are salt-tolerant plants, and green manure improved the saline environment. In this study, two leguminous halophytic crops, sesbania (Sesbania cannabina) and hairy vetch (Vicia villosa), were planted under different salinity levels, combined with three saline soil improvement measures, namely gravel mulching, manure application, and straw returning. No improvement measures and no salinity treatment was set as the control (CK). This study was conducted to analyze the effects of soil salinization improvement measures on the growth and ion uptake of sesbania and hairy vetch as biological measures under different soil salinity levels. Sesbania under manure application absorbed the highest soil Na+ (2.71 g kg−1) and Cl (2.66 g kg−1) amounts at a soil salinity of 3.2 g kg−1, which was 14.7% and 10.95% higher than under gravel mulching and straw returning, respectively. Na+ and Cl absorption of hairy vetch under manure application reached the highest value of 1.39 g kg−1 and 1.38 g kg−1 at a soil salinity of 1.6 g kg−1, which was 24.46% and 22.31% higher than under gravel mulching and straw returning, respectively. Plant height and stem diameter as well as root growth and development of sesbania and hairy vetch were limited at soil salinities greater than 1.6 g kg−1 and 0.8 g kg−1. Overall, sesbania and hairy vetch effectively absorbed both soil Na+ and Cl under manure application, thus regulating soil salinity and reducing soil salinization. However, soil salinity levels greater than 3.2 g kg−1 and 1.6 g kg−1 not only weakened the ionic absorption capacity but also inhibited the growth and development of sesbania and hairy vetch. This study provides evidence that soil salt ion absorption by sesbania and hairy vetch is promoted effectively, ameliorating soil salinity, under manure application as compared to under gravel mulching and straw returning. Full article
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<p>Plant height and stem diameter of sesbania and hairy vetch under different soil salinity improvement measures. (<b>A</b>,<b>C</b>) Sesbania; (<b>B</b>,<b>D</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments in the same growth stage at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Dry matter mass of sesbania and hairy vetch under different salinity and saline improvement measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments in the same organ of sesbania or hairy vetch at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Root–shoot ratio of sesbania and hairy vetch under different salinity and saline improvement measures. (<b>A</b>) sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicated that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Leaf area of sesbania and hairy vetch under different salinity and saline soil improvement measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments in the same growth period at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Root length of sesbania and hairy vetch under different salinity and saline improvement measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Root diameter of sesbania and hairy vetch under different salinity and saline improvement measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Root volume of sesbania and hairy vetch under different salinity and saline amelioration measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Root surface area of sesbania and hairy vetch under different salinity and saline amelioration measures. (<b>A</b>) Sesbania; (<b>B</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Na<sup>+</sup> and Cl<sup>−</sup> absorption of sesbania and hairy vetch under different salinity levels and salinity improvement measures. (<b>A</b>,<b>C</b>) Sesbania; (<b>B</b>,<b>D</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>K<sup>+</sup>, Ca<sup>2+</sup>, and Mg<sup>2+</sup> absorption of sesbania and hairy vetch under different salinity levels and salinity improvement measures. (<b>A</b>,<b>C</b>,<b>E</b>) Sesbania; (<b>B</b>,<b>D</b>,<b>F</b>) hairy vetch. CK, soil salinity of 0.0 g kg<sup>−1</sup> without any soil salinity improvement measures. Different lowercase letters indicate that there were significant differences among the 19 treatments at the <span class="html-italic">p</span> &lt; 0.05 level.</p>
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<p>Temperature and humidity in the solar greenhouse.</p>
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13 pages, 7575 KiB  
Article
Modeling the Distribution of the Rare and Red-Listed Halophytic Moss Species Entosthodon hungaricus Under Various Climate Change Scenarios in Serbia
by Isyaku Abubakar, Jovana P. Pantović, Jasmina B. Šinžar-Sekulić and Marko S. Sabovljević
Plants 2024, 13(23), 3347; https://doi.org/10.3390/plants13233347 - 28 Nov 2024
Viewed by 569
Abstract
Entosthodon hungaricus is a rare moss species of the salty grasslands in Serbia. It is threatened with extinction due to habitat destruction and loss, although it reproduces sexually. In this study, we tested different models predicting its distribution under several climate scenarios over [...] Read more.
Entosthodon hungaricus is a rare moss species of the salty grasslands in Serbia. It is threatened with extinction due to habitat destruction and loss, although it reproduces sexually. In this study, we tested different models predicting its distribution under several climate scenarios over the next 8 decades. All models tested indicated a reduction in range to varying extents. Due to the specific substrate type as well as the predicted loss owing to the climate change, shifting is not an option for the survival of this species; and, therefore, it deserves special attention for its conservation and management. Full article
(This article belongs to the Special Issue Diversity, Distribution and Conservation of Bryophytes)
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<p>(<b>A</b>) The Vojvodina province (North of Serbia) within SE Europe. The yellow areas present the suitable substrates for <span class="html-italic">Entosthodon hungaricus</span> in Serbia, while green areas (overlapping with yellow) refer to those with optimal conditions for the present distribution of this species. Black dots indicate recent reports used for Species Distribution Modeling (BA—Bosnia and Herzegovina, HU—Hungary, HR—Croatia, RO—Romania). (<b>B</b>) Appearance of <span class="html-italic">E. hungaricus</span> in its natural habitat.</p>
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<p>Mid-term distribution prediction (2041–2070) of <span class="html-italic">Entosthodon hungaricus</span> in Serbia, with a climate change scenario of a low-emission projection obtained for different global circulation models: (<b>A</b>) GFDL-ESM4; (<b>B</b>) UKESM1-0-LL; (<b>C</b>) MPI-ESM1-2HR; (<b>D</b>) IPSL-CM6A-LR). The green areas represent species predicted in the suitable distribution range, while red areas show a reduction in the suitable range.</p>
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<p>Long-term distribution prediction (2071–2100) of <span class="html-italic">Entosthodon hungaricus</span> in Serbia, with a climate change scenario of a low-emission projection obtained for different global circulation models: (<b>A</b>) GFDL-ESM4; (<b>B</b>) UKESM1-0-LL; (<b>C</b>) MPI-ESM1-2HR; (<b>D</b>) IPSL-CM6A-LR). The green areas represent species predicted in the suitable distribution range, while red areas show a reduction in the suitable range.</p>
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<p>Mid-term prediction (2041–2070) of <span class="html-italic">Entosthodon hungaricus</span> in Serbia, with a climate change scenario of a high-emission projection obtained for different global circulation models: (<b>A</b>) GFDL-ESM4; (<b>B</b>) UKESM1-0-LL; (<b>C</b>) MPI-ESM1-2HR; (<b>D</b>) IPSL-CM6A-LR). The green areas represent species predicted in the suitable distribution range, while red areas show a reduction in the suitable range.</p>
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<p>Long-term prediction (2071–2100) of <span class="html-italic">Entosthodon hungaricus</span> in Serbia, with a climate change scenario of a high-emission projection obtained for different global circulation models: (<b>A</b>) GFDL-ESM4; (<b>B</b>) UKESM1-0-LL; (<b>C</b>) MPI-ESM1-2HR; (<b>D</b>) IPSL-CM6A-LR). The green areas represent species predicted in the suitable distribution range, while red areas show a reduction in the suitable range.</p>
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26 pages, 10234 KiB  
Article
Salinity Stress Responses and Adaptation Mechanisms of Zygophyllum propinquum: A Comprehensive Study on Growth, Water Relations, Ion Balance, Photosynthesis, and Antioxidant Defense
by Bilquees Gul, Sumaira Manzoor, Aysha Rasheed, Abdul Hameed, Muhammad Zaheer Ahmed and Hans-Werner Koyro
Plants 2024, 13(23), 3332; https://doi.org/10.3390/plants13233332 - 28 Nov 2024
Viewed by 523
Abstract
Zygophyllum propinquum (Decne.) is a leaf succulent C4 perennial found in arid saline areas of southern Pakistan and neighboring countries, where it is utilized as herbal medicine. This study investigated how growth, water relations, ion content, chlorophyll fluorescence, and antioxidant system of [...] Read more.
Zygophyllum propinquum (Decne.) is a leaf succulent C4 perennial found in arid saline areas of southern Pakistan and neighboring countries, where it is utilized as herbal medicine. This study investigated how growth, water relations, ion content, chlorophyll fluorescence, and antioxidant system of Z. propinquum change as salinity levels increase (0, 150, 300, 600, and 900 mM NaCl). Salinity increments inhibited total plant fresh weight, whereas dry weight remained constant at moderate salinity and decreased at high salinity. Leaf area, succulence, and relative water content decreased as salinity increased. Similarly, the sap osmotic potential of both roots and shoots declined as NaCl concentrations increased. Except for a transitory increase in roots at 300 mM NaCl, sodium concentrations in roots and shoots increased constitutively to more than five times higher under saline conditions than in non-saline controls. Root potassium increased briefly at 300 mM NaCl but did not respond to NaCl treatments in the leaf. Photosynthetic pigments increased with 300 and 600 mM NaCl compared to non-saline treatments, although carotenoids appeared unaffected by NaCl treatments. Except for very high NaCl concentration (900 mM), salinity showed no significant effect on the maximum efficiency of photosystem II photochemistry (Fv/Fm). Light response curves demonstrated reduced absolute (ETR*) and maximum electron transport rates (ETRmax) for the 600 and 900 mM NaCl treatments. The alpha (α), which indicates the maximum yield of photosynthesis, decreased with increasing NaCl concentrations, reaching its lowest at 900 mM NaCl. Non-photochemical quenching (NPQ) values were significantly higher under 150 and 300 mM NaCl treatments than under non-saline and higher NaCl treatments. Electrolyte leakage, malondialdehyde (MDA), and hydrogen peroxide (H2O2) peaked only at 900 mM NaCl. Superoxide dismutase and glutathione reductase activities and glutathione content in both roots and shoots increased progressively with increasing salinity. Hence, growth reduction under low to moderate (150–600 mM NaCl) salinity appeared to be an induced response, while high (900 mM NaCl) salinity was injurious. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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<p>Comparison of <span class="html-italic">Zygophyllum propinquum</span> plants grown under different (mM) NaCl treatments for 15 days under a green net house.</p>
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<p>Morphological changes of <span class="html-italic">Zygophyllum propinquum</span> leaves in response to different NaCl treatments (0, 150, 300, 600, and 900 mM) (<b>A</b>) fresh weight (FW g<sup>−1</sup> plants); (<b>B</b>) dry weight (DW g<sup>−1</sup> plants); (<b>C</b>) leaf area (cm<sub>2</sub> plant<sup>−1</sup>). Bars represent the mean ± standard error (n = 3). Bars with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) on (<b>A</b>) succulence (g H<sub>2</sub>O g<sup>−1</sup> DW) and (<b>B</b>) relative water content (RWC %) of <span class="html-italic">Zygophyllum propinquum</span> leaves. Bars represent mean ± standard error (n = 3). Bars with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effect of different NaCl treatments (0, 150, 300, 600, and 900 mM) on Osmotic potential <span class="html-italic">Ψ<sub>s</sub></span> (MPa) and Percent osmotic contribution of Na<sup>+</sup> in <span class="html-italic">Zygophyllum propinquum</span> roots and leaves. Bars represent mean ± standard error (n = 3). The circles represent the osmotic potential of the irrigation solution. Bars with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test).</p>
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<p>Effects of various levels of NaCl treatments (mM) on (<b>A</b>) Na<sup>+</sup> concentration in root and leaf; (<b>B</b>) K<sup>+</sup> concentration in root and leaf; (<b>C</b>,<b>E</b>) Na<sup>+</sup> content in root and leaf; (<b>D</b>,<b>F</b>) K<sup>+</sup> content in roots and leaves of <span class="html-italic">Zygophyllum propinquum</span>. Bars represent the mean ± standard error. Bars with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; Bonferroni test).</p>
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<p>Effects of various levels of NaCl treatments (mM) on (<b>A</b>) Na<sup>+</sup> to K<sup>+</sup> ratio in root and leaf; (<b>B</b>) K<sup>+</sup> selective absorption over Na<sup>+</sup> (<b>C</b>) osmotic contribution of Na<sup>+</sup> in root and leaf; (<b>D</b>) osmotic contribution of K<sup>+</sup> in roots and leaves of Zygophyllum propinquum. Bars represent mean ± standard error. Bars with different alphabets are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; Bonferroni test).</p>
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<p>The effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) and range of irradiance on the light response curve of <span class="html-italic">Zygophyllum propinquum</span> indicating absolute electron transport rate (<span class="html-italic">ETR</span>*), non-photochemical quenching (<span class="html-italic">NPQ</span>), photochemical quenching (<span class="html-italic">qP</span>), and maximum quantum efficiency (<span class="html-italic">F<sub>v</sub></span>/<span class="html-italic">F<sub>m</sub></span>). Each symbol represents the mean values ± standard error of five replicates.</p>
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<p>The effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) and range of irradiance on the light response curve of <span class="html-italic">Zygophyllum propinquum</span> indicating relative fluorescence yields Y(II), non-photochemical quenching (YNPQ) and non-regulated photochemical quenching (YNO). Values are the mean of five replicates with mean ± standard error.</p>
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<p>Effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) on electrolyte leakage in <span class="html-italic">Zygophyllum propinquum</span> leaves. Bars represent mean ± standard error (n = 3). Bars with different alphabets are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) on (<b>A</b>) MDA (nmol g<sup>−1</sup> FW) and (<b>B</b>) H<sub>2</sub>O<sub>2</sub> (µmol g<sup>−1</sup> FW) content in the roots and leaves of <span class="html-italic">Zygophyllum propinquum</span>. Symbols represent the mean ± standard error (n = 3). Symbols with different letters are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, * = <span class="html-italic">p</span> &lt; 0.05 and *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effects of different NaCl treatments (0, 150, 300, 600, and 900 mM) on activity (Unit mg<sup>−1</sup> protein) of (<b>A</b>) superoxide dismutase (<span class="html-italic">SOD</span>), (<b>B</b>) catalase (<span class="html-italic">CAT</span>), (<b>C</b>) guaiacol peroxidase (<span class="html-italic">GPX</span>), (<b>D</b>) ascorbate peroxidase (<span class="html-italic">APX</span>) and (<b>E</b>) glutathione reductase (<span class="html-italic">GR</span>) in roots and leaves of <span class="html-italic">Zygophyllum propinquum</span>. Symbols represent mean ± standard error (n = 3). Symbols with different alphabets are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, ns = nonsignificant, ** = <span class="html-italic">p</span> &lt; 0.01 and *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effects of various NaCl treatments (0, 150, 300, 600, and 900 mM) on the contents of ascorbate (<span class="html-italic">AsA</span>) and glutathione (<span class="html-italic">GSH</span>) in root and leaf of <span class="html-italic">Zygophyllum propinquum</span>. Symbols represent mean ± standard error (n = 3). Symbols with different alphabets are significantly different from each other (<span class="html-italic">p</span> &lt; 0.05; post-hoc test). <span class="html-italic">F</span>-values based on one-way ANOVA for the effect of salinity are given. Where, *** = <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Summary of the physiological and biochemical responses of <span class="html-italic">Zygophyllum propinquum</span> during vegetative growth under various NaCl treatments (0, 150, 300, 600, and 900 mM). Green boxes represent leaf parameters and brown boxes represent roots.</p>
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17 pages, 2852 KiB  
Article
Triglochin maritima Extracts Exert Anti-Melanogenic Properties via the CREB/MAPK Pathway in B16F10 Cells
by Won-Hwi Lee, Yuna Ha, Jeong-In Park, Won Bae Joh, Mira Park, Jang Kyun Kim, Hee-Kyung Jeon and Youn-Jung Kim
Mar. Drugs 2024, 22(12), 532; https://doi.org/10.3390/md22120532 - 27 Nov 2024
Viewed by 563
Abstract
Triglochin maritima, a salt-tolerant plant, has demonstrated antioxidant effects, the ability to prevent prostate enlargement, antifungal properties, and skin moisturizing benefits. This study aimed to explore the anti-melanogenic potential of the 70% ethanol extract of T. maritima (TME) along with its ethyl [...] Read more.
Triglochin maritima, a salt-tolerant plant, has demonstrated antioxidant effects, the ability to prevent prostate enlargement, antifungal properties, and skin moisturizing benefits. This study aimed to explore the anti-melanogenic potential of the 70% ethanol extract of T. maritima (TME) along with its ethyl acetate (TME-EA) and water (TME-A) fractions. TME (10–200 µg/mL), TME-EA (1–15 µg/mL), and TME-A (100–1000 µg/mL) were prepared and applied to B16F10 cells with or without α-MSH for 72 h. MTT assays were used to assess cytotoxicity, and anti-melanogenesis activity was determined by measuring melanin content, conducting a tyrosinase activity assay, and evaluating the expression of melanogenesis-related genes and proteins via RT-PCR and Western blotting. HPLC-PDA was used to analyze TME and TME-EA. The IC20 cytotoxicity values of TME, TME-A, and TME-EA without α-MSH, were 198.426 μg/mL, 1000 μg/mL, and 18.403 μg/mL, respectively. TME and TME-EA significantly decreased melanin and tyrosinase activity in α-MSH-stimulated B16F10 cells, with TME-EA showing comparable effects to arbutin, while TME-A showed no influence. TME-EA down-regulated melanogenesis genes (Tyr, Trp1, Dct, Mitf, Mc1r) and reduced CREB, p-38, and JNK phosphorylation while increasing ERK phosphorylation, suggesting the CREB/MAPK pathway’s role in the anti-melanogenic effect. Luteolin was identified as a potential active ingredient. TME-EA may serve as an effective cosmeceutical for hyperpigmentation improvement due to its anti-melanogenic properties. Full article
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Graphical abstract
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<p>Cytotoxicity of B16F10 cells following treatment with TME, TME-A, and TME-EA. The cells were treated with TME (<b>A</b>), TME-A (<b>B</b>), and TME-EA (<b>C</b>) for 24 h without α-MSH or with 10, 50, 100, and 200 µg/mL of TME (<b>D</b>), 100, 250, 500, and 1000 µg/mL of TME-A (<b>E</b>), and 1, 5, 10, and 15 µg/mL of TME-EA (<b>F</b>) with 200 nM α-MSH for 72 h. Arbutin (1 mM) was used as a positive control. The results are expressed as a percentage of the value derived for the control group. Values are presented as means ± SEM ((<b>A</b>–<b>C</b>): n = 6, (<b>D</b>–<b>F</b>): n = 3) and statistical analysis was performed using the Welch ANOVA test with the Games–Howell multiple comparison test ((<b>A</b>–<b>C</b>)) and the Kruskal–Wallis test with Dunn’s multiple comparison test ((<b>D</b>–<b>F</b>)). Statistical significance is indicated as follows: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001 compared to the control group.</p>
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<p>Inhibitory effect of TME, TME-A, and TME-EA on melanin synthesis in B16F10 cells. Cells were treated with α-MSH (200 nM), arbutin (1 mM), TME (<b>A</b>), TME-A (<b>B</b>), or TME-EA (<b>C</b>) for 72 h. Melanin content was measured based on absorbance at 405 nm. Values are expressed as means ± SEM (n = 3) and statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparison test. #### <span class="html-italic">p &lt;</span> 0.0001 versus control group, * <span class="html-italic">p &lt;</span> 0.05, ** <span class="html-italic">p &lt;</span> 0.01, *** <span class="html-italic">p &lt;</span> 0.001, and **** <span class="html-italic">p &lt;</span> 0.0001 versus α-MSH treatment group.</p>
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<p>Effect of TME, TME-A, and TME-EA on intracellular tyrosinase activity. Cells (1.0 × 104 cells/mL) were pre-incubated for 24 h and treated with TME (<b>A</b>), TME-A (<b>B</b>), TME-EA (<b>C</b>), or 200 nM α-MSH for 72 h, and intracellular tyrosinase activity was measured. Values are expressed as means ± SEM (n = 3) and statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparison test. #### <span class="html-italic">p &lt;</span> 0.0001 versus control group, * <span class="html-italic">p &lt;</span> 0.05, ** <span class="html-italic">p &lt;</span> 0.01, *** <span class="html-italic">p &lt;</span> 0.001, and **** <span class="html-italic">p &lt;</span> 0.0001 versus α-MSH treatment group.</p>
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<p>Effect of TME-EA on genes related to melanogenesis. B16F10 cells were treated with TME-EA (1, 5, 10, and 15 µg/mL) and α-MSH (200 nM). mRNA levels of <span class="html-italic">Tyr</span> (<b>A</b>), <span class="html-italic">Dct</span> (<b>B</b>), <span class="html-italic">Trp1</span> (<b>C</b>), <span class="html-italic">Mc1r</span> (<b>D</b>), and <span class="html-italic">Mitf</span> (<b>E</b>) were determined using RT-qPCR. GAPDH was used as a reference gene. Data represent means ± SEM (n = 3) and statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparison test. #### <span class="html-italic">p &lt;</span> 0.0001 versus control group, * <span class="html-italic">p &lt;</span> 0.05, ** <span class="html-italic">p &lt;</span> 0.01, *** <span class="html-italic">p &lt;</span> 0.001, and **** <span class="html-italic">p &lt;</span> 0.0001 versus α-MSH treatment group.</p>
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<p>Effect of TME-EA on melanogenesis-related signaling pathways. B16F10 cells were treated with TME-EA (1, 5, 10, and 15 µg/mL) in the presence of α-MSH (200 nM) for 24 h. MITF and tyrosinase levels (<b>A</b>), MAPK protein phosphorylation (<b>B</b>), CREB phosphorylation (<b>C</b>), and cAMP levels (<b>D</b>) were assessed. Values are presented as means ± SEM (n = 3) and statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparison test. # <span class="html-italic">p &lt;</span> 0.05, ## <span class="html-italic">p</span> &lt; 0.01, #### <span class="html-italic">p &lt;</span> 0.0001 versus control group, * <span class="html-italic">p &lt;</span> 0.05, ** <span class="html-italic">p &lt;</span> 0.01, *** <span class="html-italic">p &lt;</span> 0.001, and **** <span class="html-italic">p &lt;</span> 0.0001 versus α-MSH treatment group.</p>
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<p>Measurement of active compounds in TME and TME-EA at 254 nm using HPLC-PDA analysis. Luteolin standard (0.1 mg/mL) (<b>A</b>); TME (1 mg/mL) (<b>B</b>); TME-EA (1 mg/mL) (<b>C</b>).</p>
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<p>Effect of luteolin on cytoxicity, melanin synthesis, and intracellular tyrosinase activity. Cells were treated with luteolin or 200 nM α-MSH for 72 h, and cell viability (<b>A</b>), melanin content (<b>B</b>), and intracellular tyrosinase activity (<b>C</b>) was assessed. Values are expressed as means ± SEM (n = 3) and statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparison test. ### <span class="html-italic">p &lt;</span> 0.001, #### <span class="html-italic">p &lt;</span> 0.0001 versus control group and *** <span class="html-italic">p &lt;</span> 0.001, **** <span class="html-italic">p &lt;</span> 0.0001 versus α-MSH treatment group.</p>
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16 pages, 10589 KiB  
Article
Effects of Increasing the Nitrogen–Phosphorus Ratio on the Structure and Function of the Soil Microbial Community in the Yellow River Delta
by Jinzhao Ma, Zehao Zhang, Jingkuan Sun, Tian Li, Zhanyong Fu, Rui Hu and Yao Zhang
Microorganisms 2024, 12(12), 2419; https://doi.org/10.3390/microorganisms12122419 - 25 Nov 2024
Viewed by 493
Abstract
Nitrogen (N) deposition from human activities leads to an imbalance in the N and phosphorus (P) ratios of natural ecosystems, which has a series of negative impacts on ecosystems. In this study, we used 16s rRNA sequencing technology to investigate the effect of [...] Read more.
Nitrogen (N) deposition from human activities leads to an imbalance in the N and phosphorus (P) ratios of natural ecosystems, which has a series of negative impacts on ecosystems. In this study, we used 16s rRNA sequencing technology to investigate the effect of the N-P supply ratio on the bulk soil (BS) and rhizosphere soil (RS) bacterial community of halophytes in coastal wetlands through manipulated field experiments. The response of soil bacterial communities to changing N and P ratios was influenced by plants. The N:P ratio increased the α-diversity of the RS bacterial community and changed the structure of the BS bacterial community. P addition may increase the threshold, causing decreased α-diversity of the bacterial community. The co-occurrence network of the RS community is more complex, but it is more fragile than that of BS. The co-occurrence network in BS has more modules and fewer network hubs. The increased N:P ratio can increase chemoheterotrophy and denitrification processes in the RS bacterial community, while the N:P ratio can decrease the N-fixing processes and increase the nitration processes. The response of the BS and the RS bacterial community to the N:P ratio differed, as influenced by soil organic carbon (SOC) content in terms of diversity, community composition, mutualistic networks, and functional composition. This study demonstrates that the effect of the N:P ratio on soil bacterial community is different for plant roots and emphasizes the role of plant roots in shaping soil bacterial community during environmental change. Full article
(This article belongs to the Special Issue Soil Microbial Carbon/Nitrogen/Phosphorus Cycling)
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Figure 1
<p>Location of the YRD and experimental site.</p>
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<p>The Shannon and Chao1 indexes of bacterial communities in the RS and BS under different N:P ratio treatments. Different lowercase and uppercase letters indicate that the difference between N:P ratio treatments is significant at 0.05 level in the RS and BS, respectively. CK indicates the addition of distilled water.</p>
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<p>PCoA of bacterial communities in the rhizosphere soil and bulk soil. CK indicates the addition of distilled water.</p>
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<p>The dominant phylum of bacterial communities in the RS and BS communities. Different lowercase letters indicate that the difference is significant. CK indicates the addition of distilled water.</p>
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<p>The dominant genera in the RS and BS communities. Different lowercase letters indicate that the difference is significant in the same soil. CK indicates the addition of distilled water.</p>
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<p>(<b>A</b>,<b>B</b>) Co-occurrence network of the RS and BS bacterial communities (12 samples). (<b>C</b>,<b>D</b>) Correlation between network modules and soil environmental factors in RS and BS. (<b>E</b>,<b>F</b>) Zi-Pi analysis of RS and BS. *, ** and *** indicate that the correlation coefficients are significant at the 0.05, 0.01, and 0.001 levels, respectively.</p>
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<p>Faprotax functional analysis of the BS (<b>A</b>) and RS (<b>B</b>) bacterial communities. Different lowercase letters indicate that the difference is significant at a 0.05 level. CK indicates the addition of distilled water.</p>
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<p>The pathway of N cycle of the BS (<b>top</b>) and RS (<b>bottom</b>) bacterial communities. CK indicates the addition of distilled water.</p>
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<p>The correlation analysis between the physical and chemical properties and the bacterial community.</p>
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<p>RDA analysis and multiple regression analysis. (<b>A</b>) RDA analysis for BS bacterial phlya. (<b>B</b>) RDA analysis for RS bacterial phlya. (<b>C</b>) Effect of the environmental factors on soil bacterial community Shannon diversity in BS and RS from multiple regression models. CK indicates the addition of distilled water.</p>
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