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11 pages, 2030 KiB  
Article
Sufficient Light Intensity Is Required for the Drought Responses in Sweet Basil (Ocimum basilicum L.)
by Gyeongmin Lee and Jongyun Kim
Agronomy 2024, 14(9), 2101; https://doi.org/10.3390/agronomy14092101 (registering DOI) - 15 Sep 2024
Viewed by 49
Abstract
Various environmental factors not only affect plant growth and physiological responses individually but also interact with each other. To examine the impact of light intensity on the drought responses of sweet basil, plants were subjected to maintenance of two substrate volumetric water contents [...] Read more.
Various environmental factors not only affect plant growth and physiological responses individually but also interact with each other. To examine the impact of light intensity on the drought responses of sweet basil, plants were subjected to maintenance of two substrate volumetric water contents (VWC) using a sensor-based automated irrigation system under two distinct light intensities. The VWC threshold was set to either a dry (0.2 m3·m−3) or sufficiently wet condition (0.6 m3·m−3) under low (170 μmol·m−2·s−1) or high light intensities (500 μmol·m−2·s−1). The growth and physiological responses of sweet basil (Ocimum basilicum L.) were observed over 21 days in the four treatment groups, where the combination of two environmental factors was analyzed. Under high light intensity, sweet basil showed lower Fv/Fm and quantum yield of PSII, compared to that under low light intensity, regardless of drought treatment. Fourteen days after drought treatment under high light intensity, stomatal conductance and the photosynthetic rate significantly reduced. Whereas plants under low light intensity showed similar stomatal conductance and photosynthetic rates regardless of drought treatment. Assessment of shoot and root dry weights revealed that plant growth decline caused by drought was more pronounced under high light intensity than under low light intensity. Thus, sweet basil showed significant declines in growth and physiological responses owing to drought only under high light intensity; no significant changes were observed under low light intensity. Full article
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Figure 1

Figure 1
<p>Average substrate volumetric water content (<span class="html-italic">n</span> = 4) of <span class="html-italic">Ocimum basilicum</span>, as maintained by a soil moisture sensor-controlled automated irrigation system for three weeks. The plants were irrigated when the substrate volumetric water content dropped below the established set points of 0.2 m<sup>3</sup>·m<sup>−3</sup> and 0.6 m<sup>3</sup>·m<sup>−3</sup> under two different light intensities [170 μmol·m<sup>−2</sup>·s<sup>−1</sup> (L) and 500 μmol·m<sup>−2</sup>·s<sup>−1</sup> (H)]. Plants were irrigated for 10 s per application. Error bars indicate the standard errors (<span class="html-italic">n</span> = 4) every four days.</p>
Full article ">Figure 2
<p>Changes in (<b>A</b>) plant height, (<b>B</b>) leaf area, (<b>C</b>) shoot fresh weight, (<b>D</b>) shoot dry weight, (<b>E</b>) root fresh weight, and (<b>F</b>) root dry weight of sweet basil plants under different light intensities [170 μmol·m<sup>−2</sup>·s<sup>−1</sup> (L) and 500 μmol·m<sup>−2</sup>·s<sup>−1</sup> (H)] and maintenance of different volumetric water contents (0.2 and 0.6 m<sup>3</sup>·m<sup>−3</sup>) for 21 days. Error bars indicate the standard error of the mean (<span class="html-italic">n</span> = 4). <span class="html-italic">P</span><sub>Light</sub>, <span class="html-italic">P</span><sub>VWC</sub>, and <span class="html-italic">P</span><sub>L×V</sub> are the <span class="html-italic">p</span> values following two-way ANOVA with light and volumetric water content (VWC) treatments. Means followed by the same letter within the same number of days after treatment are not significantly different.</p>
Full article ">Figure 3
<p>(<b>A</b>) <span class="html-italic">F</span><sub>v</sub>/<span class="html-italic">F</span><sub>m</sub>, (<b>B</b>) quantum yield of PSII (Φ<sub>PSII</sub>), (<b>C</b>) stomatal conductance, and (<b>D</b>) photosynthetic rate of sweet basils under different light intensities [170 μmol·m<sup>−2</sup>·s<sup>−1</sup> (L) and 500 μmol·m<sup>−2</sup>·s<sup>−1</sup> (H)] and maintaining different volumetric water contents (0.2 and 0.6 m<sup>3</sup>·m<sup>−3</sup>) for 21 days. Error bars indicate the standard error of the mean (<span class="html-italic">n</span> = 4). <span class="html-italic">P</span><sub>Light</sub>, <span class="html-italic">P</span><sub>VWC</sub>, and <span class="html-italic">P</span><sub>L×V</sub> are the <span class="html-italic">p</span> values following two-way ANOVA with light and volumetric water content (VWC) treatments. Means followed by the same letter within the same number of days after treatment are not significantly different.</p>
Full article ">Figure 4
<p>(<b>A</b>) Irrigation amount and (<b>B</b>) water use efficiency of sweet basils under different light intensities [170 μmol·m<sup>−2</sup>·s<sup>−1</sup> (L) and 500 μmol·m<sup>−2</sup>·s<sup>−1</sup> (H)] and maintaining different volumetric water contents (0.2 and 0.6 m<sup>3</sup>·m<sup>−3</sup>) for 21 days. Error bars indicate the standard error of the mean (<span class="html-italic">n</span> = 4). <span class="html-italic">P</span><sub>Light</sub>, <span class="html-italic">P</span><sub>VWC</sub>, and <span class="html-italic">P</span><sub>L×V</sub> are the <span class="html-italic">p</span> values following two-way ANOVA with light and volumetric water content (VWC) treatments. Means followed by the same letter are not significantly different.</p>
Full article ">
17 pages, 9924 KiB  
Article
Osmanthus fragrans Ethylene Response Factor OfERF1-3 Delays Petal Senescence and Is Involved in the Regulation of ABA Signaling
by Gongwei Chen, Fengyuan Chen, Dandan Zhang, Yixiao Zhou, Heng Gu, Yuanzheng Yue, Lianggui Wang and Xiulian Yang
Forests 2024, 15(9), 1619; https://doi.org/10.3390/f15091619 (registering DOI) - 14 Sep 2024
Viewed by 241
Abstract
Osmanthus fragrans is widely used in gardening, but the short flowering period of O. fragrans affects its ornamental and economic value. ERF, as a plant ethylene response factor, is an important link in the regulation of plant senescence. In this study, we conducted [...] Read more.
Osmanthus fragrans is widely used in gardening, but the short flowering period of O. fragrans affects its ornamental and economic value. ERF, as a plant ethylene response factor, is an important link in the regulation of plant senescence. In this study, we conducted a comprehensive analysis of the functional role of OfERF1-3 within the petals of O. fragrans. Specifically, the OfERF1-3 gene was cloned and subjected to rigorous sequence analysis. Subsequently, to evaluate its expression patterns and effects, gene overexpression experiments were carried out on both Nicotiana tabacum and O. fragrans. The results showed that OfERF1-3-overexpressing tobacco plants exhibited longer petal opening times compared with those of wild plants. Measurements of physiological parameters also showed that the flowers of overexpressed tobacco plants contained lower levels of malondialdehyde (MDA) and hydrogen peroxide (H2O2) than those of the wild type. There was a lower expression of senescence marker genes in overexpressed tobacco and O. fragrans. A yeast two-hybrid assay showed that OfERF1-3 interacted with OfSKIP14 in a manner related to the regulation of ABA. In summary, OfERF1-3 can play a delaying role in the petal senescence process in O. fragrans, and it interacts with OfSKIP14 to indirectly affect petal senescence by regulating the ABA pathway. Full article
(This article belongs to the Section Genetics and Molecular Biology)
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Figure 1

Figure 1
<p>The identification of the <span class="html-italic">OfERF1-3</span> gene. (<b>A</b>) Phylogenetic tree of ERF1-3. (<b>B</b>) Alignment of the deduced amino acids <span class="html-italic">OfERF1-3</span>, <span class="html-italic">AtERF1-3</span>, and <span class="html-italic">OeERF1-3</span>. <span class="html-italic">OfERF1-3</span>: <span class="html-italic">Osmanthus fragrans ERF1-3</span>; <span class="html-italic">AtERF1-3</span>: <span class="html-italic">Arabidopsis thaliana ERF1-3</span>; <span class="html-italic">OeERF1-3</span>: <span class="html-italic">Olea europaea</span> var. sylvestris <span class="html-italic">ERF1-3</span>. The amino acids with light blue backgrounds indicate part homology.</p>
Full article ">Figure 2
<p>The expression level of <span class="html-italic">OfERF1-3</span> in petals of <span class="html-italic">O. fragrans</span> at different flowering stages. (<b>A</b>) <span class="html-italic">OfERF1-3</span> expression in the S1–S5 time periods in <span class="html-italic">O. fragrans</span>. FPKM is a unit of gene expression commonly used to measure the relative level of gene expression in the transcriptome. Groups labeled with the same letter indicate <span class="html-italic">p</span> &gt; 0.05, while different letters indicate <span class="html-italic">p</span> &lt; 0.05. Transcriptome data was obtained from the published article: “Analysis of the Aging-Related AP2/ERF Transcription Factor Gene Family in <span class="html-italic">Osmanthus fragrans</span>”. (<b>B</b>) The five flowering periods of <span class="html-italic">O. fragrans</span>: S1: linggeng stage, S2: xiangyan stage, S3: initial flowering stage, S4: full flowering stage, and S5: late flowering stage.</p>
Full article ">Figure 3
<p>Expression of the <span class="html-italic">OfERF1-3</span> in transgenic <span class="html-italic">Nicotiana tabacum</span> petals. (<b>A</b>) The expression of <span class="html-italic">OfERF1-3</span> in the S1–S5 time periods in <span class="html-italic">N. tabacum</span>. Groups labeled with the same letter indicate <span class="html-italic">p</span> &gt; 0.05, while different letters indicate <span class="html-italic">p</span> &lt; 0.05. (<b>B</b>) The five flowering periods of tobacco: S1: tight bud stage, S2: mature bud stage, S3: initial flowering stage, S4: full flowering stage, and S5: late flowering stage.</p>
Full article ">Figure 4
<p>Phenotypes of transgenic plants of tobacco with <span class="html-italic">OfERF1-3</span>. WT: wild-type plants; OE: overexpression plants. (<b>A</b>) Comparison of flowering time between wild-type and overexpression plants as a whole. (<b>B</b>) Single flowers from wild-type and overexpression plants from the early flowering stage period to abscission.</p>
Full article ">Figure 5
<p>Changes in the expression of senescence marker genes and physiological indexes in petals of <span class="html-italic">OfERF1-3</span> overexpressing tobacco. (<b>A</b>) Expression of <span class="html-italic">NtSAG12</span> in WT and OE petals. (<b>B</b>) Expression of <span class="html-italic">NtACO1</span> in WT and OE petals. (<b>C</b>) MDA content in WT and OE petals. Groups labeled with the same letter indicate <span class="html-italic">p</span> &gt; 0.05, while different letters indicate <span class="html-italic">p</span> &lt; 0.05. (<b>D</b>) H<sub>2</sub>O<sub>2</sub> content in WT and OE petals. WT: wild-type plants; OE: overexpression plants. ** indicate <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 6
<p>Phenotype analysis of transgenic petals of <span class="html-italic">O. fragrans</span> transformed with <span class="html-italic">OfERF1-3</span>; EV: pSuper1300 empty vector. (<b>A</b>) Phenotypes of transgenic petals of <span class="html-italic">O. fragrans</span> transformed with <span class="html-italic">OfERF1-3</span> over a 48 h period. (<b>B</b>) Comparative analysis of <span class="html-italic">OfERF1-3</span> expression of empty vector and transgenic petals of <span class="html-italic">O. fragrans</span>. (<b>C</b>) Expression of <span class="html-italic">OfSAG21</span> in pSuper1300 empty vector and pSuper1300-<span class="html-italic">OfERF1-3</span> transgenic petals. (<b>D</b>) Expression of <span class="html-italic">OfACS1</span> in pSuper1300 empty vector and pSuper1300-<span class="html-italic">OfERF1-3</span> transgenic petals. * indicate <span class="html-italic">p</span> &lt; 0.05 and *** indicate <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 7
<p>Yeast self-activation assay and two-hybrid sieve library assay results. (<b>A</b>) The results of the yeast self-activation assay showed that <span class="html-italic">OfERF1-3</span> exhibits no self-activating activity. The pGBKT7-Lam + pGADT7-T control vector served as a negative control. The pGBKT7-53 + pGADT7-T control vector served as a positive control. (<b>B</b>) A total of 21 positive yeast monoclones were obtained via yeast two-hybrid library screening.</p>
Full article ">Figure 8
<p>A yeast two-hybrid assay identified the <span class="html-italic">OfERF1-3</span> that interacted with <span class="html-italic">OfSKIP14</span>. The pGBKT7-Lam + pGADT7-T control vector served as a negative control. The pGBKT7-53 + pGADT7-T control vector served as a positive control.</p>
Full article ">
29 pages, 4376 KiB  
Article
Cryopreservation of Medicinal Plant Seeds: Strategies for Genetic Diversity Conservation and Sustainability
by Lin Zeng, Zheng Sun, Li Fu, Yakun Gu, Rongtao Li, Mingjun He and Jianhe Wei
Plants 2024, 13(18), 2577; https://doi.org/10.3390/plants13182577 - 13 Sep 2024
Viewed by 286
Abstract
The depletion of medicinal plant resources leads to the irreversible loss of their genetic diversity. The preservation of medicinal plant germplasm using cryobanks is crucial for maintaining the sustainability of these resources. This study examined the efficacy of cryopreservation on 164 medicinal plant [...] Read more.
The depletion of medicinal plant resources leads to the irreversible loss of their genetic diversity. The preservation of medicinal plant germplasm using cryobanks is crucial for maintaining the sustainability of these resources. This study examined the efficacy of cryopreservation on 164 medicinal plant seeds, identified general principles for preserving medicinal plant seeds at ultra-low temperatures, and established a cryobank for dry-sensitive medicinal plant seeds. Over 90% of orthodox seeds were unaffected by freezing, with optimal conditions being a 5–10% moisture content and direct freezing. Intermediate seeds were best frozen with a 7–15% moisture content, and those with a lower initial moisture content were best suited to direct freezing. While recalcitrant seeds’ freezing was most influenced by moisture content, there was no specific range. Direct freezing is appropriate for recalcitrant seeds possessing a hard seed coat and a firm seed kernel, whereas seeds with a brittle or soft seed coat are better suited for vitrification or stepwise freezing methods. There was no significant correlation between alterations in physiological and biochemical indicators and microscopic structures of seeds before and following liquid nitrogen freezing, as well as their storage characteristics. The findings of this research offer evidence in favor of the extended conservation of plant seeds and the extensive utilization of ultra-low temperature technology and provides an example of protecting the genetic diversity of plant resources. Full article
(This article belongs to the Special Issue Genetic and Biological Diversity of Plants)
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Figure 1

Figure 1
<p>Data analysis chart of seed storage characteristics results. Note: (<b>A</b>,<b>B</b>) show the distribution of plant families for testing seed storage properties. (<b>A</b>) shows at least two plants in a family, and (<b>B</b>) shows a single plant. (<b>C</b>) shows the proportion of storage characteristics of various types of seeds.</p>
Full article ">Figure 2
<p>Analysis chart of seed cryopreservation results. Note: (<b>A</b>) shows the distribution of suitable freezing methods for various types of seeds that have been successfully frozen. (<b>B</b>) shows the distribution of seed moisture content ranges for successful freezing of various types of seeds.</p>
Full article ">Figure 3
<p>Analysis chart of changes in physiological and biochemical indicators of seeds before and after cryopreservation. Note: REC: relative conductivity; MDA: malondialdehyde; CAT: catalase; POD: peroxidase; SOD: superoxide dismutase; α-AA: α-amylase; PRO: soluble protein; TTCH: dehydrogenase.</p>
Full article ">Figure 4
<p>Examples of microstructural observation results of seeds before and after freezing. Note: (<b>a</b>) cross-section view of control seeds, (<b>b</b>) cross-section view of frozen seeds ((<b>b-1</b>): lackluster appearance, (<b>b-3</b>): browning and (<b>b-2</b>): dehydrated), (<b>c</b>) control seed embryo cells, (<b>d</b>) frozen seed embryo cells ((<b>d-1</b>): plasmolysis, (<b>d-2</b>): irregular arrangement and (<b>d-3</b>): loose organelles), (<b>e</b>) control seed endosperm cells, (<b>f</b>) frozen seed endosperm cells ((<b>f-2</b>): changes in content, (<b>f-1</b>): increase or (<b>f-3</b>): decrease in the number of starch granules).</p>
Full article ">Figure 5
<p>The steps for the determination of seed storage characteristics.</p>
Full article ">Figure A1
<p>Microstructural observation results of seeds before and after freezing. Note: 1 Cross-section view of control seeds, 2 Cross-section view of frozen seeds, 3 Control seed embryo cells, 4 Frozen seed embryo cells, 5 Control seed endosperm cells, 6 Frozen seed endosperm cells.</p>
Full article ">
13 pages, 12746 KiB  
Article
Characterization and Pathogenicity of Colletotrichum truncatum Causing Hylocereus undatus Anthracnose through the Changes of Cell Wall-Degrading Enzymes and Components in Fruits
by Shuwu Zhang, Yun Liu, Jia Liu, Enchen Li and Bingliang Xu
J. Fungi 2024, 10(9), 652; https://doi.org/10.3390/jof10090652 - 13 Sep 2024
Viewed by 282
Abstract
Anthracnose is one of the destructive diseases of pitaya that seriously affects the plant growth and fruit quality and causes significant yield and economic losses worldwide. However, information regarding the species of pathogens that cause anthracnose in pitaya (Hylocereus undatus) fruits [...] Read more.
Anthracnose is one of the destructive diseases of pitaya that seriously affects the plant growth and fruit quality and causes significant yield and economic losses worldwide. However, information regarding the species of pathogens that cause anthracnose in pitaya (Hylocereus undatus) fruits in Gansu Province, China, and its pathogenic mechanism is unknown. Thus, the purposes of our present study were to identify the species of pathogens causing H. undatus fruits anthracnose based on the morphological and molecular characteristics and determine its pathogenic mechanism by physiological and biochemical methods. In our present study, forty-six isolates were isolated from the collected samples of diseased H. undatus fruits and classified as three types (named as H-1, H-2, and H-3), according to the colony and conidium morphological characteristics. The isolation frequencies of H-1, H-2, and H-3 types were 63.04%, 21.74%, and 15.22%, respectively. The representative single-spore isolate of HLGTJ-1 in H-1 type has significant pathogenicity, and finally we identified Colletotrichum truncatum as the pathogen based on the morphological characteristics as well as multi-locus sequence analysis. Moreover, the H. undatus fruits inoculated with C. truncatum had a significantly increased activity of cell wall-degrading enzymes (CWDEs) cellulase (Cx), β-glucosidase (β-Glu), polygalacturonase (PG), and pectin methylgalacturonase (PMG), while having a decreased level of cell wall components of original pectin and cellulose in comparison to control. The average increased activities of Cx, β-Glu, PG, and PMG were 30.73%, 40.40%, 51.55%, and 32.23% from day 0 to 6 after inoculation, respectively. In contrast, the average decreased contents of original pectin and cellulose were 1.82% and 16.47%, respectively, whereas the average increased soluble pectin content was 38.31% in comparison to control. Our results indicate that C. truncatum infection increased the activities of CWDEs in H. undatus fruits to disassemble their cell wall components, finally leading to the fruits’ decay and deterioration. Thus, our findings will provide significant evidence in the controlling of pitaya anthracnose in the future. Full article
(This article belongs to the Special Issue Control of Postharvest Fungal Diseases)
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Figure 1
<p>Symptoms of <span class="html-italic">Hylocereus undatus</span> fruit anthracnose at different time periods in Wuwei city, China. (<b>A</b>) and (<b>B</b>): the symptoms at the initial stage; (<b>C</b>–<b>F</b>): the symptoms at a later stage.</p>
Full article ">Figure 2
<p>The pathogenicity test of the representative isolate of HLGTJ-1 on <span class="html-italic">Hylocereus undatus</span> fruit after inoculation. (<b>A</b>) Fruit inoculation with the PDA discs without the HLGTJ-1 isolate (control); (<b>B</b>,<b>C</b>) fruits inoculation with the mycelial discs of the HLGTJ-1 isolate at 3 and 7 days after inoculation, respectively.</p>
Full article ">Figure 3
<p>Morphological characteristics of the representative isolate of HLGTJ-1. (<b>A</b>,<b>B</b>) The front and reverse views of the colony, respectively; (<b>C</b>) the conidial mass produced on the front of the colony; (<b>D</b>) the conidial mass observed under a stereoscope; (<b>E</b>) the acervuli and setae observed under a stereoscope; (<b>F</b>) the acervulus and setae observed under a microscope using the hand-sliced method; (<b>G</b>,<b>H</b>) conidia; (<b>I</b>,<b>J</b>) appressorium.</p>
Full article ">Figure 4
<p>Multi-locus phylogenetic tree of the single-spore isolate of HLGTJ-1 based on the combined sequences (HJ-ITS region and <span class="html-italic">HJ-GAPDH</span> and <span class="html-italic">HJ-HIS3</span> genes) by the maximum likelihood (ML) method. Bootstraps supporting values higher than 50% from the 1000 replicates are presented at the nodes.</p>
Full article ">Figure 5
<p>Changes in activities of Cx (<b>A</b>), β-Glu (<b>B</b>), PG (<b>C</b>), and PMG (<b>D</b>) in <span class="html-italic">Hylocereus undatus</span> fruits at different days after inoculation with the isolate. Different letters in Figure are significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 6
<p>Changes in original pectin (<b>A</b>), soluble pectin (<b>B</b>), and cellulose (<b>C</b>) contents in <span class="html-italic">Hylocereus undatus</span> fruits at different days after inoculation with the isolate. Different letters in Figure are significantly different at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
10 pages, 1300 KiB  
Article
Moringa Reduces Glucose Levels and Alters Wolbachia Abundance in Drosophila melanogaster
by Michaela Schaffer, D’Andre Grant, Katherine Berge and Nana Yaw Darko Ankrah
Microbiol. Res. 2024, 15(3), 1870-1879; https://doi.org/10.3390/microbiolres15030125 - 13 Sep 2024
Viewed by 268
Abstract
Moringa oleifera Lam. (moringa) is a plant native to India, used as a nutritional and medicinal supplement in many cultures around the world. Moringa has been linked to maintaining metabolic homeostasis and is often marketed as a weight loss supplement and a potential [...] Read more.
Moringa oleifera Lam. (moringa) is a plant native to India, used as a nutritional and medicinal supplement in many cultures around the world. Moringa has been linked to maintaining metabolic homeostasis and is often marketed as a weight loss supplement and a potential remedy for diseases such as diabetes. Here, we investigate how moringa, a ‘superfood’ with predicted protective effects against chronic diseases such as diabetes, influences the nutritional physiology and microbiome composition of the fruit fly Drosophila melanogaster. We administered moringa as a dietary supplement to Drosophila, and quantified key nutritional indices: glucose, triacylglyceride, and protein levels, and fly weight. We showed that dietary moringa supplementation significantly reduced fly glucose levels by up to ~30% and resulted in substantial restructuring of Drosophila microbiota composition, altering both gut and intracellular bacterial populations. The effect of moringa on fly glucose levels is specific because other nutritional indices, namely, triacylglyceride and protein levels and fly weight, were not significantly affected by dietary moringa supplementation. This study highlights the importance of moringa as a modulator of host glucose metabolism. Full article
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Figure 1
<p>Impact of moringa diet supplementation on the composition and diversity of the bacterial community of <span class="html-italic">D. melanogaster</span>. (<b>A</b>) Relative abundance of bacterial orders present in <span class="html-italic">D. melanogaster</span> feeding on moringa versus the control diet. (<b>B</b>) Alpha diversity measurements for different treatment groups. Significantly different (<span class="html-italic">p</span> &lt; 0.05) samples by Tukey’s HSD post hoc test are indicated by different letters. For each boxplot, the center line displays the median, and the lower and upper hinges correspond to the 25th and 75th percentiles. Moringa and control diets are represented by green and brown boxes, respectively.</p>
Full article ">Figure 2
<p>Response of gut and intracellular microbial communities to moringa supplementation. (<b>A</b>) Change to <span class="html-italic">Acetobacter</span> levels on a moringa diet. (<b>B</b>) Change to <span class="html-italic">Wolbachia</span> levels on a moringa diet. (<b>C</b>) Viable bacteria count on MRS agar plates. Significantly different (<span class="html-italic">p</span> &lt; 0.05) samples by Tukey’s HSD post hoc test are indicated by different letters. For each boxplot, the center line displays the median, and the lower and upper hinges correspond to the 25th and 75th percentiles. Moringa and control diets are represented by green and brown boxes respectively.</p>
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<p>Effect of dietary supplementation with moringa on <span class="html-italic">Drosophila</span> nutritional indices (<b>A</b>–<b>C</b>) and weight (<b>D</b>). Significantly different (<span class="html-italic">p</span> &lt; 0.05) samples by Tukey’s HSD post hoc test are indicated by different letters. For each boxplot, the center line displays the median, and the lower and upper hinges correspond to the 25th and 75th percentiles. Moringa and control diets are represented by green and brown boxes, respectively.</p>
Full article ">
24 pages, 22645 KiB  
Review
Facing Heavy Metal Stress, What Are the Positive Responses of Melatonin in Plants: A Review
by Xianghan Cheng, Xiaolei Liu, Feifei Liu, Yuantong Yang and Taiji Kou
Agronomy 2024, 14(9), 2094; https://doi.org/10.3390/agronomy14092094 (registering DOI) - 13 Sep 2024
Viewed by 340
Abstract
With the growth of the population and the development of modern industry and the economy, the problem of heavy metal pollution in cultivated soil has become increasingly prominent. Moreover, heavy metal poses a serious threat to plant growth due to its characteristics of [...] Read more.
With the growth of the population and the development of modern industry and the economy, the problem of heavy metal pollution in cultivated soil has become increasingly prominent. Moreover, heavy metal poses a serious threat to plant growth due to its characteristics of difficult degradation, high mobility, easy enrichment, and potential toxicity and has become a social topic. Melatonin is a new type of plant hormone widely present in animals, plants, fungi, and bacteria, and its biological role has begun investigated in the last dozen years. Facing heavy metal stress, melatonin can play a pleiotropic role in the physiological processes of plants, such as stress resistance and growth regulation, mitigate the damage caused by stress on plants, and provide a new research idea for alleviating heavy metal stress in plants. From the aspects of the plant phenotype, physiology, element absorption, and molecular structure, this paper, therefore, mainly reviews the effects of melatonin on plants subjected to heavy metal stress and the mechanism of melatonin alleviating heavy metal stress and then puts forward future research directions. This information may be of great significance to the normal growth of crops under heavy metal stress and will provide an important theoretical basis for the genetic improvement of crop resistance in the future. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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<p>Effects of heavy metal stress on plant growth, development, and physiological and ecological characteristics. Abbreviations: HM, heavy metal; SOD, Superoxide dismutase; CAT, Catalase; POD, Peroxidase; ADH, Alcohol dehydrogenase.</p>
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<p>The role of melatonin as a growth-promoting regulator and antioxidant in plant growth and development. (<b>a</b>) The effects of melatonin on plant growth, root development, flowering cycle, photosynthesis, circadian rhythm, and nutrient uptake and (<b>b</b>) the effect of melatonin on plant seed germination. (The blue arrow in <a href="#agronomy-14-02094-f002" class="html-fig">Figure 2</a>a indicates melatonin transport from the root system to the ground).</p>
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<p>Plot of melatonin and heavy metal stress signals and ROS interactions. (<b>I</b>). Melatonin can directly or indirectly remove ROS and reduce the effect of heavy metal oxidative stress on plant growth and development. (<b>II</b>). Melatonin can chelate the toxic metals to reduce the stress caused by heavy metals. Stress is first recognized by receptors in the plant cell membrane, followed by a series of signaling cascades. First, Ca<sup>2+</sup> and ROS are generated and involved in the transmission of heavy metal stress signals, whereafter levels of related transcription factors can be induced by melatonin and heavy-metal-stress-signaling molecules. Then, melatonin regulates the expression of redox-related genes and plant stress defense, such as in the form of <span class="html-italic">CLHl</span> (the chlorophyll-enzyme-related gene), <span class="html-italic">PAO</span> (chlorophyll-A-oxygenase-related gene), and <span class="html-italic">NHXl/AKTl</span> (ion balance-related gene). However, the specific downstream symbol is not clear, as shown in the figure of “?”. (<b>III</b>). Melatonin can be directly sensed by the receptors and may be involved in other physiological functions. (Refer to [<a href="#B81-agronomy-14-02094" class="html-bibr">81</a>].).</p>
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<p>Effects of melatonin on plant photosynthetic system under heavy metal stress. (The blue arrow indicates melatonin transport from the root system to the ground).</p>
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14 pages, 3144 KiB  
Article
Towards the Use of Lichens as a Source of Bioactive Substances for Topical Applications
by Izabela Baczewska, Barbara Hawrylak-Nowak, Martyna Zagórska-Dziok, Aleksandra Ziemlewska, Zofia Nizioł-Łukaszewska, Grzegorz Borowski and Sławomir Dresler
Molecules 2024, 29(18), 4352; https://doi.org/10.3390/molecules29184352 - 13 Sep 2024
Viewed by 178
Abstract
The increasing incidence of dermatological diseases prompts the search for new natural methods of treatments, and lichens, with their special symbiotic structure, are a little-known and promising source of biologically active substances. Seven lichen species, Cladonia unicialis (L.) Weber ex F.H. Wigg. (Cladoniaceae) [...] Read more.
The increasing incidence of dermatological diseases prompts the search for new natural methods of treatments, and lichens, with their special symbiotic structure, are a little-known and promising source of biologically active substances. Seven lichen species, Cladonia unicialis (L.) Weber ex F.H. Wigg. (Cladoniaceae), Evernia prunastri (L.) Ach. (Parmeliaceae), Hypogymnia physodes (L.) Nyl. (Parmaliaceae), Parmelia sulcata (Taylor) (Parmeliaceae), Physcia adscendens (Fr.) H. Olivier (Physciaceae), Pseudoevernia furfuracea (L.) Zopf (Parmeliaceae), and Xanthoria parietina (L.) Th. Fr. (Teloschistaceae), were used in our experiment. We identified different metabolites in the acetone extracts of all the lichen species. Based on the high-performance liquid chromatography analysis, the content of lichen substances in the extracts was evaluated. The impact of the individual lichen-specific reference substances, compared to the lichen extracts, on the viability of keratinocytes (HaCaT cell line) and fibroblasts (BJ cell line) and on the activity of selected skin-related enzymes was investigated. Our results revealed that only emodin anthrone at a concentration of 200 mg/L was cytotoxic to keratinocytes and fibroblasts in both cell viability assays. In turn, the C. uncialis extract was only cytotoxic to keratinocytes when used at the same concentration. The other tested treatments showed a positive effect on cell viability and no cytotoxicity or indeterminate cytotoxicity (shown in only one of the tests). Elastase and collagenase activities were inhibited by most of the lichen extracts. In turn, the individual lichen compounds (with the exception of evernic acid) generally had an undesirable stimulatory effect on hyaluronidase and collagenase activity. In addition, almost all the tested compounds and extracts showed anti-inflammatory activity. This suggests that some lichen compounds hold promise as potential ingredients in dermatological and skincare products, but their safety and efficacy require further study. The high cytotoxicity of emodin anthrone highlights its potential use in the treatment of hyperproliferative skin diseases such as psoriasis. Full article
(This article belongs to the Special Issue Medicinal Value of Natural Bioactive Compounds and Plant Extracts II)
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<p>Photos of lichens used in the research: (<b>a</b>) <span class="html-italic">Cladonia uncialis</span>, (<b>b</b>) <span class="html-italic">Evernia prunastri</span>, (<b>c</b>) <span class="html-italic">Hypogymnia physodes</span>, (<b>d</b>) <span class="html-italic">Parmelia sulcata</span>, (<b>e</b>) <span class="html-italic">Physcia ascendens</span>, (<b>f</b>) <span class="html-italic">Pseudevernia furcuracea</span>, and (<b>g</b>) <span class="html-italic">Xanthoria parietina</span>.</p>
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<p>Structural formulae of the identified lichen metabolites belonging to four classes of lichen compounds.</p>
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<p>Effect of isolated compounds (ethyl orsellinate, physodic acid, physodalic acid, 3-hydroxyphysodic acid, atranorin, evernic acid, vulpinic acid, usnic acid, protocetraric acid, emodin anthrone, physcion) or lichen acetone extracts (<span class="html-italic">E. prunastri, H. physodes, P. sulcata, P. furfuracea, C. uncialis, P. adscendens, X. parietina</span>) at the concentration of 50 and 200 mg/L on the viability of keratinocytes (HaCaT) after 24 h of exposure determined by the Alamar blue assay (<b>a</b>) and the neutral red uptake assay (<b>b</b>). Data are mean ± SD (<span class="html-italic">n</span> = 3), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the control (dashed line, 100% of enzyme activity) (Dunnett test).</p>
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<p>Effect of isolated compounds (ethyl orsellinate, physodic acid, physodalic acid, 3-hydroxyphysodic acid, atranorin, evernic acid, vulpinic acid, usnic acid, protocetraric acid, emodin anthrone, physcion) or lichen acetone extracts (<span class="html-italic">E. prunastri, H. physodes, P. sulcata, P. furfuracea, C. uncialis, P. adscendens, X. parietina</span>) at the concentration of 50 or 200 mg/L on the viability of fibroblast cells (BJ) after 24 h of exposure determined by the Alamar blue assay (<b>a</b>) and the neutral red uptake assay (<b>b</b>). Data are mean ± SD (<span class="html-italic">n</span> = 3), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the control (dashed line, 100% of enzyme activity) (Dunnett test).</p>
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<p>Effect of 50 or 200 mg/L of isolated lichen compounds (ethyl orsellinate, physodic acid, physodalic acid, 3-hydroxyphysodic acid, atranorin, evernic acid, usnic acid, protocetraric acid, emodin anthrone, physcion, vulpinic acid) on COX-2 (<b>a</b>), elastase (<b>b</b>), hyaluronidase (<b>c</b>), and collagenase (<b>d</b>) activity in fibroblasts (BJ). Data are mean ± SD (<span class="html-italic">n</span> = 3), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the control (dashed line, 100% of enzyme activity) (Dunnett test).</p>
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<p>Effect of 50 or 200 mg/L of lichen raw extracts (<span class="html-italic">E. prunastri, H. physodes, P. sulcata, P. furfuracea, C. unicialis, P. adscendens, X. parietina</span>) on COX-2 (<b>a</b>), elastase (<b>b</b>), hyaluronidase (<b>c</b>), and collagenase (<b>d</b>) activity in fibroblasts (BJ). Data are mean ± SD (<span class="html-italic">n</span> = 3), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span>&lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the control (dashed line, 100% of enzyme activity) (Dunnett test).</p>
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18 pages, 5377 KiB  
Article
Historical Pollution Exposure Impacts on PM2.5 Dry Deposition and Physiological Responses in Urban Trees
by Ruiyu Liu, Manli Wang, Shuyu Chen, Jing Zhang, Xiaoai Jin, Yuan Ren and Jian Chen
Forests 2024, 15(9), 1614; https://doi.org/10.3390/f15091614 - 13 Sep 2024
Viewed by 202
Abstract
Urban trees are known for their ability to settle fine particulate matter (PM2.5), yet the effects of historical pollution exposure on their dust-retention capacity and stress memory remain underexplored. Therefore, we selected Euonymus japonicus Thunb. var. aurea-marginatus Hort. and Photinia × [...] Read more.
Urban trees are known for their ability to settle fine particulate matter (PM2.5), yet the effects of historical pollution exposure on their dust-retention capacity and stress memory remain underexplored. Therefore, we selected Euonymus japonicus Thunb. var. aurea-marginatus Hort. and Photinia × fraseri Dress, which are two common urban greening tree species in the Yangtze River Delta, a highly urbanized region in China facing severe air pollution challenges, characterized by dense urban forests, and we employed an aerosol generator to perform controlled experiments aiming to simulate PM2.5 pollution exposure in a sealed chamber. The experiments encompassed a first pollution treatment period P1 (15 days), a recovery period R (15 days), and a second pollution treatment period P2 (15 days). The study investigates the historical impacts of pollution exposure by simulating controlled environmental conditions and assessing the morphological and physiological changes in trees. The main results are as follows: Vd of Euonymus japonicus Thunb. var. aurea-marginatus Hort. significantly decreased on the 10th day during P2 compared with that on the same day during P1, whereas Vd of Photinia × fraseri Dress significantly decreased on the 15th day. Compared with those during P1, the specific leaf area of both plants significantly decreased, the specific leaf weight significantly increased, the wax layer significantly thickened, the stomata decreased, and the content of photosynthetic pigments remained stable during P2. Furthermore, the air pollution tolerance index (APTI) generally increased during both P1 and P2. This study contributes to international knowledge by examining stress memory in urban trees and underscores the role of stress memory in enhancing plant resistance to periodic particulate pollution, offering insights into the adaptive mechanisms that can be applied globally, not just regionally. Full article
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<p>Changes in the PM<sub>2.5</sub> dry deposition velocity (<span class="html-italic">V<sub>d</sub></span>) of the plants on the different experimental days: (<b>A</b>) <span class="html-italic">V<sub>d</sub></span> changes in <span class="html-italic">E. japonicus</span>; (<b>B</b>) <span class="html-italic">V<sub>d</sub></span> changes in <span class="html-italic">P. fraseri.</span> Lowercase letters denote significant differences in <span class="html-italic">V<sub>d</sub></span> across various measurement times within the same pollution treatment period (<span class="html-italic">p</span> &lt; 0.05). The different uppercase letters indicate significant differences in <span class="html-italic">V<sub>d</sub></span> between the different plants at the same measurement time during the same pollution treatment period at the 0.05 significance level. “*” denotes significant differences in <span class="html-italic">V<sub>d</sub></span> at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the specific leaf weight and specific leaf area of the plants on different experimental days: (<b>A</b>,<b>B</b>) denote the specific leaf weight and specific leaf area of <span class="html-italic">E. japonicus</span>, respectively; (<b>C</b>,<b>D</b>) denote the specific leaf weight and specific leaf area of <span class="html-italic">P. fraseri</span>. The different lowercase letters indicate significant differences in the specific leaf weight and specific leaf area at the different measurement times during the same pollution treatment period at the 0.05 significance level. The different uppercase letters indicate significant differences in the specific leaf weight and specific leaf area at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the waxy layer thickness and stomatal size on different experimental days: (<b>A</b>,<b>B</b>) denote the specific waxy layer thickness and specific stomatal size of <span class="html-italic">E. japonicus</span>, respectively; (<b>C</b>,<b>D</b>) denote the specific waxy layer thickness and specific stomatal size of <span class="html-italic">P. fraseri.</span> The different lowercase letters indicate significant differences in the waxy layer thickness and stomatal size at the different measurement times during the same pollution treatment period at the 0.05 significance level. “*” denotes significant differences in the waxy layer thickness and stomatal size between the treatment and reference sites within the same measurement time between the same pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the photosynthetic pigment content in <span class="html-italic">E. japonicus</span> leaves on different experimental days. The different lowercase letters indicate significant differences in the photosynthetic pigment content at the different measurement times during the same pollution treatment period at the 0.05 significance level. The different uppercase letters indicate significant differences in the photosynthetic pigment content at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the photosynthetic pigment content in <span class="html-italic">P. fraseri</span> leaves on different experimental days. The different lowercase letters indicate significant differences in the photosynthetic pigment content at the different measurement times during the same pollution treatment period at the 0.05 significance level. The different uppercase letters indicate significant differences in the photosynthetic pigment content at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the plant ascorbic acid content on different pollution experimental days: (<b>A</b>,<b>B</b>) denote the specific ascorbic acid contents of <span class="html-italic">E. japonicus</span> and <span class="html-italic">P. fraseri</span>, respectively. The different lowercase letters indicate significant differences in the plant ascorbic acid content at the different measurement times during the same pollution treatment period at the 0.05 significance level. The different uppercase letters indicate significant differences in the plant ascorbic acid content at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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<p>Changes in the plant APTI values on different pollution experimental days: (<b>A</b>,<b>B</b>) denote the specific APTI values of <span class="html-italic">E. japonicus</span> and <span class="html-italic">P. fraseri</span>, respectively. The different lowercase letters indicate significant differences in the plant APTI values at the different measurement times during the same pollution treatment period at the 0.05 significance level. The different uppercase letters indicate significant differences in the plant APTI values at the same measurement time between the different pollution treatment periods at the 0.05 significance level.</p>
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13 pages, 1386 KiB  
Article
Life on the Wire—Plant Growth on Power Lines in the Americas
by Gerhard Zotz and Alfredo Cascante-Marín
Diversity 2024, 16(9), 573; https://doi.org/10.3390/d16090573 - 12 Sep 2024
Viewed by 197
Abstract
There are a number of rather anecdotal reports of plant growth on power cables in the Americas, but until now there has been no systematic attempt to gauge the geographical extension of this phenomenon nor a documentation of the diversity of species found [...] Read more.
There are a number of rather anecdotal reports of plant growth on power cables in the Americas, but until now there has been no systematic attempt to gauge the geographical extension of this phenomenon nor a documentation of the diversity of species found there. Using observations from the participatory science data platform iNaturalist and the scientific literature, we document almost 700 occurrences of more than 40 species of vascular plants and three lichen species on power cables with a geographical distribution over 7000 km from the southern United States to northern Argentina. Based on these observations we discuss the ecological conditions of plant growth on power cables in terms of climate; elevational distribution; and the morphological, physiological, and life history traits that allow the observed set of species to thrive on this anthropic structure. Full article
(This article belongs to the Special Issue 2024 Feature Papers by Diversity’s Editorial Board Members)
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<p>Plants on power lines and associated structures. (<b>a</b>) <span class="html-italic">Catopsis nutans</span> with infructescence in the city center of Cartago (Costa Rica), (<b>b</b>) a large <span class="html-italic">Werauhia sanguinolenta</span> plant with infructescence, (<b>c</b>) immature <span class="html-italic">Tillandsia balbisiana</span> (Golfito, Costa Rica), (<b>d</b>) a clump of <span class="html-italic">Catopsis nutans</span> plants with dehiscing capsules releasing numerous seeds (Cartago, Costa Rica), and (<b>e</b>) several fruiting <span class="html-italic">Tillandsia flexuosa</span> individuals near Pedasí (Panama).</p>
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<p>Geographical distribution of plants and lichens on power lines in the Americas. Each dot represents one observation, although in a number of cases, dots may totally or partially overlap if there are (i) more than one species per location or (ii) conspecifics were so close that at the scale of this map a distinction is impossible. For a full list, see <a href="#app1-diversity-16-00573" class="html-app">Table S1</a>. An observation from Hawaii of an introduced species (<span class="html-italic">Tillandsia polystachia</span>) is not shown.</p>
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<p>Modeled elevations and climatic conditions of the observation sites (black bars) and the Americas in the study area of 35° N to 31° S (white bars). Plot (<b>a</b>) gives elevational information, plot (<b>b</b>) mean annual precipitation (MAP), and plot (<b>c</b>). annual mean temperature (MAT).</p>
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<p>Geographical distribution of the five most common species. Each dot represents one occurrence record. For a full list, see <a href="#app1-diversity-16-00573" class="html-app">Table S1</a>. (<b>a</b>) <span class="html-italic">Tillandsia recurvata</span> (black). (<b>b</b>) <span class="html-italic">T. balbisiana</span> (red), <span class="html-italic">T. capillaris</span> (orange), <span class="html-italic">T. schiedeana</span> (blue), and <span class="html-italic">T. usneoides</span> (black).</p>
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16 pages, 2123 KiB  
Article
The Microbiological Activity of Soil in Response to Gliotoxin, the “Lethal Principle” of Trichoderma
by Anastasia V. Teslya, Elena V. Gurina, Artyom A. Stepanov, Aleksandr V. Iashnikov and Alexey S. Vasilchenko
Agronomy 2024, 14(9), 2084; https://doi.org/10.3390/agronomy14092084 - 12 Sep 2024
Viewed by 261
Abstract
Trichoderma is a soil-dwelling microorganism that has many benefits for plants and is therefore widely used in agriculture. Among the secondary metabolites produced by Trichoderma, gliotoxin (GT) is one of the most studied. The antagonistic effect of GT on other fungi was [...] Read more.
Trichoderma is a soil-dwelling microorganism that has many benefits for plants and is therefore widely used in agriculture. Among the secondary metabolites produced by Trichoderma, gliotoxin (GT) is one of the most studied. The antagonistic effect of GT on other fungi was first discovered by R. Weindling in 1934. He referred to it as the “lethal principle” of Trichoderma. Despite the long history of studying GT, its impact on the soil microbial community has remained largely unexplored. In our work, we investigated the response of the soil microbial community to different doses of GT (10–500 µM per kg) and different durations (7–56 days) of exposure. We measured microbiological parameters (CO2 emission, microbial biomass (MB)), calculated the eco-physiological indices and determined the activity of soil enzymes involved in the C, N, P and S cycles. We identified three types of microbial responses to GT: inhibition, stress and stimulation. The inhibitory effect developed only by day 56 and in the samples treated with 500 μM GT. The stress effect (increased CO2 emission and decreased MB) of GT on microbial communities was predominant. Soil extracellular enzymes also responded to GT to varying degrees. A stimulating effect of GT on enzyme activity was noted for β-D-1,4-cellobiosidase and β-1,4-glucosidase. The activity of arylsulfatase and leucine aminopeptidase decreased under the influence of GT up to day 28, but by the end of the experiment, there was a restoration of activity. We did not observe any significant changes in the activity of β-1,4-xylosidase, β-1,4-N-acetyl-glucosaminidase or acid phosphatase. The results obtained showed that GT at high, “man-made” doses can inhibit the microbiological activity of soil, but at naturally occurring concentrations, it can have a stimulating effect on soil microbiome functionality. Full article
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<p>Available gliotoxin in soil as a function of time was determined by HPLC detection of residual quantities. Data are presented as mean ± standard deviation.</p>
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<p>Response of the soil microbial community to the application of various doses of gliotoxin. (<b>a</b>) Basal (microbial) respiration; (<b>b</b>) microbial biomass; (<b>c</b>) coefficient of microbial respiration, QR; (<b>d</b>) metabolic coefficient or specific respiration of microbial biomass, <span class="html-italic">q</span>CO<sub>2</sub>, μg CO<sub>2</sub> mg<sup>−1</sup> MB<sub>SIR</sub> h<sup>−1</sup>; (<b>e</b>) share of microbial biomass carbon in organic carbon, MB<sub>SIR</sub>/SOC, %; (<b>f</b>) <span class="html-italic">q</span>CO<sub>2</sub>/SOC, μg CO<sub>2</sub> mg<sup>−1</sup> and MB<sub>SIR</sub> h<sup>−1</sup> (gSOCg<sup>−1</sup> soil)<sup>−1</sup>. Data are presented as mean ± standard deviation.</p>
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<p>Changes in soil enzymatic activity under the influence of different doses of gliotoxin. Data are presented as mean ± standard deviation.</p>
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16 pages, 5661 KiB  
Article
Genotype and Nitrogen Source Influence Drought Stress Response in Oil Palm Seedlings
by Rodrigo Ruiz-Romero, Marlon De la Peña, Iván Ayala-Díaz, Carmenza Montoya and Hernán Mauricio Romero
Agronomy 2024, 14(9), 2082; https://doi.org/10.3390/agronomy14092082 - 12 Sep 2024
Viewed by 256
Abstract
As a significant global source of vegetable oil, the oil palm’s ability to withstand abiotic stresses, particularly drought, is crucial for sustainable agriculture. This is especially significant in tropical regions, where water scarcity is becoming more common. Nitrogen, a vital nutrient, plays an [...] Read more.
As a significant global source of vegetable oil, the oil palm’s ability to withstand abiotic stresses, particularly drought, is crucial for sustainable agriculture. This is especially significant in tropical regions, where water scarcity is becoming more common. Nitrogen, a vital nutrient, plays an essential role in various physiological and biochemical processes in plants, directly influencing growth and stress tolerance. This study investigates the interaction between nitrogen sources (ammonium vs. nitrate) and drought stress in oil palm (Elaeis guineensis) seedlings, which is critical in enhancing productivity in this economically important crop. The experiment evaluated five commercial oil palm genotypes, which were supplied with nitrogen solutions (15 mM NH4+ or NO3) for 46 days, followed by 30 days of progressive drought. The results showed that drought conditions universally reduced the biomass, with ammonium-fed plants exhibiting greater shoot biomass sensitivity than nitrate-fed plants. Drought also significantly decreased the chlorophyll a, PhiPS2, and root-reducing sugar levels—critical indicators of photosynthetic efficiency and overall plant health. The effects on the root architecture were complex, with ammonium nutrition differentially influencing the lateral root length under well-watered versus drought conditions, highlighting nitrogen forms’ nuanced role in root development. Importantly, substantial genotypic variability was observed in most traits, affecting the responses to both the nitrogen source and drought stress. This variability suggests that certain genotypes may be better suited to cultivation in specific environmental conditions, particularly drought-prone areas. In conclusion, this study underscores the intricate interplay between nitrogen nutrition, genotypic variability, and drought tolerance in oil palm seedlings. These findings highlight the need to integrate these factors into agricultural management strategies to improve resilience and productivity in oil palm plantations. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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<p>Average dry weight of the shoots and roots of five oil palm genotypes across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watering). Statistical significance levels for the main effects and interactions among N sources (N), water availability (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Root-to-shoot ratio for each genotype across two nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered). Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>The graph displays the average (<b>A</b>) total, (<b>B</b>) lateral, and (<b>C</b>) primary root length for each genotype across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watering). Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Gas exchange for each genotype across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered) after the imposition of water conditions: (<b>A</b>) net photosynthesis (A<sub>n</sub>), (<b>B</b>) stomatal conductance (g<sub>s</sub>), (<b>C</b>) substomatal CO<sub>2</sub> concentration (C<sub>i</sub>), and (<b>D</b>) transpiration rate (E). Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Chlorophyll a fluorescence across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered) after the imposition of water conditions: (<b>A</b>) quantum yield of photosystem II (PhiPS2) and (<b>B</b>) nonphotochemical quenching (NPQ). Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Leaf metabolic content across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered) after the imposition of water conditions: (<b>A</b>) chlorophyll a, (<b>B</b>) proteins, (<b>C</b>) amino acids, and (<b>D</b>) reducing sugars for each genotype. Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Root metabolic content across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered) after the imposition of water conditions: (<b>A</b>) proteins, (<b>B</b>) amino acids, and (<b>C</b>) reducing sugars for each genotype. Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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<p>Leaf mineral content across two different nitrogen forms (ammonium and nitrate) and two water conditions (drought and watered) after the imposition of water conditions: (<b>A</b>) nitrogen, (<b>B</b>) phosphorus, (<b>C</b>) potassium, (<b>D</b>) calcium, (<b>E</b>) magnesium, and (<b>F</b>) boron for each genotype. Statistical significance levels for the main effects and interactions among N sources (N), water conditions (W), and genotypes (G) are denoted by asterisks (* &lt;0.05, ** &lt;0.01, *** &lt;0.001), and nonsignificant results are labeled ns. Error bars represent standard errors (n = 5).</p>
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24 pages, 3677 KiB  
Article
Preparing for the Worst: Enhancing Seedling Traits to Reduce Transplant Shock in Semi-Arid Regions
by Douglas E. Mainhart, Bradley O. Christoffersen, R. Alexander Thompson, Charlotte M. Reemts and Alejandro Fierro-Cabo
Forests 2024, 15(9), 1607; https://doi.org/10.3390/f15091607 - 12 Sep 2024
Viewed by 389
Abstract
The spatial extent of semi-arid hot regions is forecasted to grow through the twenty-first century, complicating restoration and reforestation plans. In arid and semi-arid climates, seedlings are more susceptible to transplant shock due to lower soil moisture throughout the year. Determining strategies to [...] Read more.
The spatial extent of semi-arid hot regions is forecasted to grow through the twenty-first century, complicating restoration and reforestation plans. In arid and semi-arid climates, seedlings are more susceptible to transplant shock due to lower soil moisture throughout the year. Determining strategies to reduce seedling stress and improve survival post-planting will be paramount to continued reforestation efforts in a changing climate. We quantified seedling physiological, morphological, and field performance (mortality and growth) response for five species native to the semi-arid region of South Texas (Erythrina herbacea L., Celtis pallida Torr., Fraxinus berlandieriana DC, Malpighia glabra L., and Citharexylum berlandieri B.L Rob) to an antitranspirant (abscisic acid), drought, and elevated CO2. We examined post-treatment seedling gas exchange, non-structural carbohydrates, osmolality, root structure, and stomatal density and evaluated mortality and growth rate on a sample of the treatment population. For elevated CO2 and drought hardening treatments, seedling gas exchange, solute content, specific root length, and stomatal density varied by species, while abscisic acid strongly reduced transpiration and stomatal conductance in all species. However, these physiological and morphological differences did not translate to reduced mortality or improved growth rate due to high herbivory and above-normal precipitation after planting precluding seedlings from stress. We conclude that the simpler antitranspirant approach, rather than the more logistically challenging eCO2, has the potential to reduce drought-related transplant shock but requires more widespread testing. Full article
(This article belongs to the Section Forest Ecophysiology and Biology)
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<p>Experimental setup. (<b>a</b>) The chamber used to subject seedlings to elevated CO<sub>2</sub> and levels of CO<sub>2</sub> in the chamber over the treatment period and abscisic acid and drought hardening application methodology. (<b>b</b>) Field experiment species block setup with each dot representing a single plant and each row a treatment. (<b>c</b>) Field plot and orientation of blocks.</p>
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<p>Gas exchange parameters at end of treatment (day zero) for each species-treatment group measured. Asterisks mark significant difference in means (*: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001; ANOVA) between treatment and controls within each species. DH (drought hardening) and ABA (abscisic acid) treatments measurements performed on old leaves (<span class="html-italic">n</span> = 9–10) and eCO<sub>2</sub> (elevated CO<sub>2</sub>) performed on young leaves (<span class="html-italic">n</span> = 8–10). CIBE eCO<sub>2</sub> leaves were too small to measure and excluded. WUE (water use efficiency), A<sub>sat</sub> (assimilation rate), E (transpiration), g<sub>sw</sub> (stomatal conductance). Black circles represent outliers outside of 1.5 times interquartile range. Species are <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), and <span class="html-italic">Fraxinus berlandieriana</span> (FRBE).</p>
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<p>Post-treatment impacts on stomatal conductance (g<sub>sw</sub>, mean ± standard error). DH (drought hardening) treatment measurements were on old leaves, eCO<sub>2</sub> (elevated CO<sub>2</sub>) on new leaves, ABA (abscisic acid) on both leaf age groups. ABA leaf-age groups pooled in this graphic due to similar response. Asterisks indicate indicated significant difference of means (*: <span class="html-italic">p</span> &lt; 0.05, **: <span class="html-italic">p</span> &lt; 0.01, ***: <span class="html-italic">p</span> &lt; 0.001) among treatment and control within each species for each day from individual <span class="html-italic">t</span>-tests (<span class="html-italic">n</span> = 7–10 for each treatment on each day). Species include <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), <span class="html-italic">Fraxinus berlandieriana</span> (FRBE), and <span class="html-italic">Malpighia glabra</span> (MAGL). g<sub>sw</sub>, stomatal conductance.</p>
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<p>Leaf osmolality response to each treatment within three species. Treatments are drought hardening (DH), elevated CO<sub>2</sub> (eCO<sub>2</sub>), and control. Lettering indicates significant differences among treatment means within species (adjusted <span class="html-italic">p</span> &lt; 0.05) from individual ANOVA and Tukey HSD tests (ns = no significant differences). Samples collected on 5 fully expanded leaves from 5 different plants (<span class="html-italic">n</span> = 5). Black circles represent outliers outside of 1.5 times interquartile range. Species include <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), and <span class="html-italic">Fraxinus berlandieriana</span> (FRBE).</p>
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<p>Fine root (&lt;2 mm) morphology responses of nursery-grown seedlings for each species-treatment group (<span class="html-italic">n</span> = 5). Only DH (drought hardening) and eCO<sub>2</sub> (elevated eCO<sub>2</sub>) treatments were evaluated. Lettering indicates significant differences among treatments within species (adjusted <span class="html-italic">p</span> &lt; 0.05) from individual ANOVA and Tukey HSD tests (ns = no significant difference between treatments). Black circles represent outliers outside of 1.5 times interquartile range. Species include <span class="html-italic">Celtis pallida</span> (CEPA), <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), <span class="html-italic">Fraxinus berlandieriana</span> (FRBE), and <span class="html-italic">Malpighia glabra</span> (MAGL).</p>
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<p>Effects of eCO<sub>2</sub> on newly developed leaf stomatal density by species. Asterisks indicate significant difference between treatment group means within each species (**: <span class="html-italic">p</span> &lt;0.01, ANOVA; lack of asterisks indicates no significant difference) (<span class="html-italic">n</span> = 6–10). Black circles represent outliers outside of 1.5 times interquartile range. Species include <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), <span class="html-italic">Fraxinus berlandieriana</span> (FRBE), and <span class="html-italic">Malpighia glabra</span> (MAGL).</p>
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<p>Relative growth rates (height) during treatment period (Nursery, 4 weeks) and over 8 months post-planting for each species (Field). Treatments are abscisic acid (ABA), drought hardening (DH), elevated CO<sub>2</sub> (eCO<sub>2</sub>), and control Lettering indicates significant differences among treatments within species (adjusted <span class="html-italic">p</span> &lt; 0.05) from individual ANOVA and Tukey HSD tests (ns = no significant difference between treatment groups). Black circles represent outliers outside of 1.5 times interquartile range. Nursery <span class="html-italic">n</span> = 10, eCO<sub>2</sub> CIBE not collected due to lost labels. Field <span class="html-italic">n</span> = 7–10. Species include <span class="html-italic">Celtis pallida</span> (CEPA), <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), <span class="html-italic">Fraxinus berlandieriana</span> (FRBE), and <span class="html-italic">Malpighia glabra</span> (MAGL).</p>
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<p>Field mortality at 6 months for each species-treatment group (<span class="html-italic">n</span> = 20) and results from multi-variate logistic regression. Treatments are abscisic acid (ABA), drought hardening (DH), elevated CO<sub>2</sub> (eCO<sub>2</sub>), and control. Lettering indicates significant differences between treatments within each species; “ns” indicates no significant difference between treatments for particular species. Species include <span class="html-italic">Celtis pallida</span> (CEPA), <span class="html-italic">Citharexylum berlandieri</span> (CIBE), <span class="html-italic">Erythrina herbacea</span> (ERHE), <span class="html-italic">Fraxinus berlandieriana</span> (FRBE), and <span class="html-italic">Malpighia glabra</span> (MAGL).</p>
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11 pages, 734 KiB  
Review
The Beneficial Elements in Forest Environment Based on Human Health and Well-Being Perspective
by Deqiang Gao, Jiapeng Shen, Yunchang Gao and Zhiyong Zhang
Forests 2024, 15(9), 1604; https://doi.org/10.3390/f15091604 - 11 Sep 2024
Viewed by 274
Abstract
Illness is a significant global societal issue in the 21st century. Forest, as an important part of terrestrial ecosystem, holds substantial health and well-being benefits. People can gain health benefits from interacting with forests, even for short periods. Unfortunately, there is a lack [...] Read more.
Illness is a significant global societal issue in the 21st century. Forest, as an important part of terrestrial ecosystem, holds substantial health and well-being benefits. People can gain health benefits from interacting with forests, even for short periods. Unfortunately, there is a lack of systematic concern regarding the beneficial elements that forest provides to humans. In this study, a systematic review and meta-analysis were conducted following established guidelines, comprehensively evaluating the beneficial elements of the forest environment. The results indicated that the beneficial forest elements relevant to human health include beneficial substances (clean air, high-quality freshwater, CO2/O2 balance, negative air ions, and phytoncides) and beneficial factors (moderate thermal environment and biodiversity). These beneficial forest elements are products of plant’s physiological processes. While their production pathways are relatively well understood, the mechanisms by which these elements impact health are unclear. This review provided the foundational data and theoretical insights for future research on the health benefits of forest elements. Full article
(This article belongs to the Special Issue Urban Green Spaces, Human Health and Happiness)
32 pages, 5288 KiB  
Review
Plant-Based Products Originating from Serbia That Affect P-glycoprotein Activity
by Jelena Dinić, Ana Podolski-Renić, Miroslav Novaković, Liang Li, Igor Opsenica and Milica Pešić
Molecules 2024, 29(18), 4308; https://doi.org/10.3390/molecules29184308 - 11 Sep 2024
Viewed by 427
Abstract
Our review paper evaluates the impact of plant-based products, primarily derived from plants from Serbia, on P-glycoprotein (P-gp) activity and their potential in modulating drug resistance in cancer therapy. We focus on the role and regulation of P-gp in cellular physiology and its [...] Read more.
Our review paper evaluates the impact of plant-based products, primarily derived from plants from Serbia, on P-glycoprotein (P-gp) activity and their potential in modulating drug resistance in cancer therapy. We focus on the role and regulation of P-gp in cellular physiology and its significance in addressing multidrug resistance in cancer therapy. Additionally, we discuss the modulation of P-gp activity by 55 natural product drugs, including derivatives for some of them, based on our team’s research findings since 2011. Specifically, we prospect into sesquiterpenoids from the genera Artemisia, Curcuma, Ferula, Inula, Petasites, and Celastrus; diterpenoids from the genera Salvia and Euphorbia; chalcones from the genera Piper, Glycyrrhiza, Cullen, Artemisia, and Humulus; riccardins from the genera Lunularia, Monoclea, Dumortiera, Plagiochila, and Primula; and diarylheptanoids from the genera Alnus and Curcuma. Through comprehensive analysis, we aim to highlight the potential of natural products mainly identified in plants from Serbia in influencing P-gp activity and overcoming drug resistance in cancer therapy, while also providing insights into future perspectives in this field. Full article
(This article belongs to the Special Issue Bioactive Molecules and Drug Lead Compounds)
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<p>Chemical structures of artemisinin and artesunate.</p>
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<p>Chemical structures of 4-aryl-2-aminopyrimidines and new artesunate-based hybrids.</p>
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<p>Chemical structure of artesunate-podophyllotoxin conjugate.</p>
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<p>Chemical structures of β-caryophyllene and β-caryophyllene oxide.</p>
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<p>Chemical structures of α-turmerone, furanodiene, and β-elemene.</p>
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<p>Chemical structures of umbelliprenin, farnesiferol B, farnesiferol C, and lehmferin.</p>
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<p>Chemical structures of costunolide, sesquiterpenoid <b>3</b>, and ergolide.</p>
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<p>Chemical structures of isopetasin and S-isopetasin.</p>
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<p>Chemical structures of sclareol, its derivatives and hybrids with 1,2,4-triazolo[1,5-a]pyrimidines.</p>
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<p>Chemical structures of nicaeenin F and G.</p>
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<p>Chemical structures of jatrophane diterpenoids <b>8</b> and <b>9</b>.</p>
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<p>Chemical structures of euphodendrophane A and B.</p>
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<p>Chemical structures of jatrophane diterpenoids <b>10</b> and <b>11</b>.</p>
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<p>Chemical structures of euphoresulan H.</p>
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<p>Chemical structures of heliosterpenoids A and B.</p>
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<p>Chemical structure of jatrophane diterpenoid ES2.</p>
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<p>Chemical structure of euphosporophane I.</p>
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<p>Chemical structures of jatrophane diterpenoid <b>12</b> and corresponding derivative <b>13</b>.</p>
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<p>Chemical structures of euphoglomueruphane K and L.</p>
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<p>Chemical structures of jatrophane diterpenoid <b>14</b>.</p>
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<p>Chemical structures of flavokawains A and B.</p>
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<p>Chemical structures of tomoroside A and B.</p>
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<p>Chemical structure of licochalcone A.</p>
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<p>Chemical structure of isobavachalcone.</p>
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<p>Chemical structure of cardamonin.</p>
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<p>Chemical structure of xanthohumol.</p>
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<p>Chemical structures of riccardin D and F.</p>
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<p>Chemical structures of alnuside A and (S)-5-<span class="html-italic">O</span>-methylhirsutanonol.</p>
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<p>Chemical structure of curcumin.</p>
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<p>Chemical structure of trans-1,7-diphenyl-5-hydroxy-1-heptene.</p>
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13 pages, 1828 KiB  
Article
Physiological Responses and Quality Alterations of Pea Sprouts under Salt Stress: Implications for Salt-Tolerant Mechanism
by Juxian Guo, Liqing Zhan, Xiuxiu Su and Tingqin Wang
Horticulturae 2024, 10(9), 966; https://doi.org/10.3390/horticulturae10090966 - 11 Sep 2024
Viewed by 212
Abstract
Pea sprouts, considered a nutritious and environmentally sustainable vegetable with significant cultivation prospects and market potential, face growth challenges due to salt stress. However, the underlying mechanisms associated with this stress have not been fully elucidated. To address this knowledge gap, we conducted [...] Read more.
Pea sprouts, considered a nutritious and environmentally sustainable vegetable with significant cultivation prospects and market potential, face growth challenges due to salt stress. However, the underlying mechanisms associated with this stress have not been fully elucidated. To address this knowledge gap, we conducted a hydroponic study applying various concentrations of NaCl salt stress to pea sprouts. Systematic analysis was performed on key parameters including germination, plant height, biomass, and enzyme activity of pea sprouts under salt treatment. Our aim was to unravel the underlying mechanisms associated with the impact of salt stress on the growth of pea sprouts. Results revealed that salt treatment significantly inhibited the germination process of pea sprouts’ seeds, leading to a notable decrease in plant height and sprout yield. Salt stress induced an increase in MDA content, a decrease in chlorophyll content, and elevated relative conductivity. However, a low concentration of salt treatment enhanced SOD activity, suggesting the activation of oxidative stress resistance mechanisms in pea sprouts. Moreover, salt treatment exhibited an inhibitory effect on soluble protein content while promoting soluble sugar content in pea sprouts. Additionally, low-concentration salt treatment increased the crude fiber content of pea sprouts, while high-concentration salt treatment inhibited it. In summary, this study indicates that salt stress could cause physiological damage to pea sprouts, but pea sprouts may employ metabolic strategies to adapt to the low concentration of salt stress. These findings contribute to a deeper understanding of the physiological responses of pea sprouts to salt stress and provide valuable insights for its implementation of salt-tolerant cultivation. Full article
(This article belongs to the Section Biotic and Abiotic Stress)
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<p>Effect of different concentration of salt treatment on germination rate (<b>a</b>), germination potential (<b>b</b>) and germination index (<b>c</b>) of pea sprouts. Values with the same letter were not significantly different within different treatments (FLSD, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentration of salt treatment on plant height of pea sprouts (cm). Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentration of salt treatment on the biomass of pea sprouts. Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentration of salt treatment on chlorophyll content of pea sprouts. Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentration of salt treatment on relative electrical conductivity of pea sprouts. Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different concentration of salt treatment on the activities of MDA (<b>a</b>), SOD (<b>b</b>), POD (<b>c</b>), and CAT (<b>d</b>) of pea sprouts. Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Short-term effects of different concentration of salt treatment on the content of soluble protein (<b>a</b>), soluble carbohydrate (<b>b</b>), crude fiber (<b>c</b>) of pea sprouts. Values with the same letter were not significantly different within different treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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