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Plant Biotic and Abiotic Stress Responses and Tolerance: Phytohormonal and Metabolic Insights

A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Plant Metabolism".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 2053

Special Issue Editors


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Guest Editor
Plant Sciences Department, University of Tennessee, Knoxville, TN 37996, USA
Interests: controlled environment fruit production; RNAi; PGRs; plant–microbe interactions; phytohormones; biostimulants; abiotic stress
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Animal Industry, Chonnam National University, Gwangju 61186, Republic of Korea
Interests: phytohormones; plant–microbe interactions; plant innate immunity; drought stress tolerance; salt stress tolerance

Special Issue Information

Dear Colleagues,

Biotic and abiotic stresses reduce crop yields and quality, resulting in substantial annual economic losses. Global climate change further intensifies the frequency and severity of various plant stresses, posing a significant risk to productivity and jeopardizing global food security.

Plants evolved with intricate stress responses and tolerance mechanisms. Phytohormones, diverse primary metabolic pathways (carbon, nitrogen, sulfur metabolism, etc.), secondary metabolites and osmolytes (e.g., phenolics, flavonoids and proline) play significant roles in this complex process. Understanding these mechanisms is critical for formulating different agricultural solutions to mitigate the adverse effects of various biotic and abiotic stresses and improve crop productivity and sustainability.

Agricultural practices lead to enhanced stress tolerance, and overall crop performance is a crucial focus for sustainable crop production. For example, biostimulants and emerging strategies have been evaluated in different cropping systems as stress mitigation tools. However, knowledge of biostimulants (microbial and non-microbial) mediated regulations for the phytohormone crosstalk, and plant primary and specialized metabolic pathways remains unclear.

This Special Issue is a unique opportunity to delve into the current and future perspectives on phytohormonal and metabolic insights of plant biotic and abiotic stress responses and tolerance. We welcome original articles, short communications, reviews and perspectives that explore recent advances in plant stress physiology. The focus is on potential new agricultural sustainable solutions that can enhance crop productivity and stress tolerance in both conventional and protected crop production systems.

Dr. Tabibul Islam
Dr. Md. Al Mamun
Guest Editors

Manuscript Submission Information

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Keywords

  • biotic and abiotic stress
  • phytohormones: primary metabolism
  • secondary metabolites
  • plant–pathogen interactions
  • biostimulants
  • beneficial microbes
  • plant innate immunity
  • omics (genomics, transcriptomics, proteomics, metabolomics, etc.)

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Published Papers (2 papers)

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Research

21 pages, 6380 KiB  
Article
Combined Metabolome and Transcriptome Analyses of Maize Leaves Reveal Global Effect of Biochar on Mechanisms Involved in Anti-Herbivory to Spodoptera frugiperda
by Tianjun He, Lin Chen, Yingjun Wu, Jinchao Wang, Quancong Wu, Jiahao Sun, Chaohong Ding, Tianxing Zhou, Limin Chen, Aiwu Jin, Yang Li and Qianggen Zhu
Metabolites 2024, 14(9), 498; https://doi.org/10.3390/metabo14090498 - 14 Sep 2024
Viewed by 544
Abstract
Fall armyworm (FAW, Spodoptera frugiperda) has now spread to more than 26 Chinese provinces. The government is working with farmers and researchers to find ways to prevent and control this pest. The use of biochar is one of the economic and environmentally [...] Read more.
Fall armyworm (FAW, Spodoptera frugiperda) has now spread to more than 26 Chinese provinces. The government is working with farmers and researchers to find ways to prevent and control this pest. The use of biochar is one of the economic and environmentally friendly strategies to increase plant growth and improve pest resistance. We tested four v/v combinations of bamboo charcoal with coconut bran [BC1 (10:1), BC2(30:1), BC3(50:1)] against a control (CK) in maize. We found that plant height, stem thickness, fresh weight and chlorophyll content were significantly higher in BC2, in addition to the lowest FAW survival %. We then compared the metabolome and transcriptome profiles of BC2 and CK maize plants under FAW herbivory. Our results show that the levels of flavonoids, amino acids and derivatives, nucleotides and derivatives and most phenolic acids decreased, while terpenoids, organic acids, lipids and defense-related hormones increased in BC-grown maize leaves. Transcriptome sequencing revealed consistent expression profiles of genes enriched in these pathways. We also observed the increased expression of genes related to abscisic acid, jasmonic acid, auxin and MAPK signaling. Based on these observations, we discussed the possible pathways involved in maize against FAW herbivory. We conclude that bamboo charcoal induces anti-herbivory responses in maize leaves. Full article
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Figure 1

Figure 1
<p>(<b>a</b>) Growth performance of maize in different biochar treatments 10 and 20 days after sowing. The bars show mean ± SEM (n = 27). (<b>b</b>) Probability of survival (%) of <span class="html-italic">S. frugiperda,</span> larval survival (%) and pupal survival (%). CK = control; and BC1, BC2 and BC3 are BCcoal to pure coconut bran (<span class="html-italic">v</span>/<span class="html-italic">v</span>) ratios, respectively. Bars on the plots show ± standard deviation (n = 60). The different letters on the bars indicate that the treatments differ significantly at <span class="html-italic">p</span> &lt; 0.05. The bars show mean ± SEM (n = 12).</p>
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<p>Global metabolome profile of maize leaves grown in BC under FAW herbivory. (<b>a</b>) Heatmap of metabolites detected in BC and CK. (<b>b</b>) The % of compounds in each class detected in BC and CK. (<b>c</b>) Principal component analysis and (<b>d</b>) Pearson’s correlation coefficient analysis of BC and CK based on relative metabolite intensities. BC = 30:1 (<span class="html-italic">v</span>/<span class="html-italic">v</span>) bamboo charcoal and coconut bran supplementation, and CK is without BC. Numbers (1–3) with BC and CK represent replicates.</p>
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<p>Differential metabolome profile of maize leaves grown in BC under FAW herbivory. (<b>a</b>) Sum of metabolite intensities of different compound classes in BC and CK. (<b>b</b>) Top up- and down-accumulated metabolites accumulated in BC vs. CK. (<b>c</b>) Scatter plot of KEGG pathway enrichment of differentially accumulated metabolites. (<b>d</b>) Heatmap of differentially accumulated metabolites in BC vs. CK. BC = 30:1 (<span class="html-italic">v</span>/<span class="html-italic">v</span>) bamboo charcoal and coconut bran supplementation, and CK is without BC. Numbers (1–3) with BC and CK represent replicates.</p>
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<p>Global transcriptome profile of maize leaves grown in BC under FAW herbivory. (<b>a</b>) Overall distribution of gene expression, (<b>b</b>) principal component analysis and (<b>c</b>) Pearson’s correlation coefficient analysis based on gene expression. (<b>d</b>) Number of differentially expressed genes and (<b>e</b>) KEGG pathway enrichment scatter plot between BC and CK. BC = 30:1 (<span class="html-italic">v</span>/<span class="html-italic">v</span>) bamboo charcoal and coconut bran supplementation, and CK is without BC.</p>
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<p>Differential regulation of plant–pathogen interaction and signaling pathways. Top panel shows plant–pathogen interaction KEGG pathway (04626), and bottom left panel shows MAPK signaling—plant KEGG pathway (04016). Heatmaps show log 2-foldchange values of genes enriched in plant–pathogen interaction and signaling pathways (MAPK and phytohormone). Heatmaps were prepared in TBtools [<a href="#B29-metabolites-14-00498" class="html-bibr">29</a>].</p>
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<p>Quantitative real-time PCR analysis of maize genes in CK and BC2 leaves infested with <span class="html-italic">S. frugiperda.</span> The bars represent relative gene expression values (mean of <span class="html-italic">n</span> = 3). The error bars represent ± standard deviation.</p>
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19 pages, 4642 KiB  
Article
Photosynthetic Activities, Phytohormones, and Secondary Metabolites Induction in Plants by Prevailing Compost Residue
by Lord Abbey, Samuel Kwaku Asiedu, Sparsha Chada, Raphael Ofoe, Peter Ofori Amoako, Stella Owusu-Nketia, Nivethika Ajeethan, Anagha Pradeep Kumar and Efoo Bawa Nutsukpo
Metabolites 2024, 14(8), 400; https://doi.org/10.3390/metabo14080400 - 24 Jul 2024
Viewed by 630
Abstract
Compost residue enriches soil health with the potential to enhance plant metabolism and hormonal balance, but has not yet been studied. A study was performed to determine how prevailing compost residue induces tomato (Solanum lycopersicum ‘Scotia’) plant morpho-physiology, phytohormones, and secondary metabolites. [...] Read more.
Compost residue enriches soil health with the potential to enhance plant metabolism and hormonal balance, but has not yet been studied. A study was performed to determine how prevailing compost residue induces tomato (Solanum lycopersicum ‘Scotia’) plant morpho-physiology, phytohormones, and secondary metabolites. Plants were grown in soils with a previous history of annual (AN) and biennial (BI) compost amendments. The controls were soil without compost (C) amendment and municipal solid waste compost (MSWC) alone. The MSWC- and AN-plants had similar and significantly (p < 0.05) highest growth and photosynthetic activities compared to the BI- or C-plants. Total phenolics and lipid peroxidase activity were significantly (p < 0.001) high in BI-plants, while hydrogen peroxide and antioxidant capacity were significantly (p < 0.001) high in AN-plants. MSWC-plants recorded the highest cis-abscisic acid, followed by AN-, and then BI- and C-plants. Cis-zeatin, trans-zeatin, and isopentenyladenine ribosides were detected in the MSWC- and AN-plants but not in the BI- or C-plants. Furthermore, gibberellins GA53, GA19, and GA8 were high in the MSWC-plants, but only GA8 was detected in the AN plants and none in the others. Besides, MSWC plants exhibited the highest content of 1-aminocyclopropane-1-carboxylic acid. Conjugated salicylic acid was highest in the BI-plants, while jasmonic acid-isoleucine was highest in MSWC-plants and C plants. In conclusion, prevailing compost chemical residues upregulate plant growth, phytohormones, and metabolic compounds that can potentially increase plant growth and abiotic stress defense. Future work should investigate the flow of these compounds in plants under abiotic stress. Full article
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Figure 1

Figure 1
<p>(<b>A</b>) Plant height of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. (<b>B</b>) The plants in the pots show differences in growth per treatment at 6 weeks after transplanting. Vertical lines on bars represent standard errors (N = 12), and bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Chlorophylls a (<b>A</b>) and b (<b>B</b>), total soluble sugar (<b>C</b>), and total protein contents (<b>D</b>) of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12); bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Carotenoids (<b>A</b>), total phenolics (<b>B</b>), flavonoids (<b>C</b>), malonaldehyde (MDA) (<b>D</b>), hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) (<b>E</b>) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging capacity (<b>F</b>) of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12); bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Abscisic acid (ABA) pathway (<b>A</b>), cis-ABA (<b>B</b>), trans-ABA (<b>C</b>), abscisic acid glucose ester (ABAGE) (<b>D</b>), 7′hydroxy-abscisic acid (7′OH-ABA) (<b>E</b>), dihydrophaseic acid (DPA) (<b>F</b>), phaseic acid (PA) (<b>G</b>), and neo-PA (<b>H</b>) contents of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). A Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12); bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Cis-zeatin-O-glucoside (<b>A</b>) and indole acetic acid (<b>B</b>) contents of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12), bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Gibberellic acid (<b>A</b>) and ethylene (<b>C</b>) pathways and gibberellins 8 (<b>B</b>) and 1-aminocyclopropane-1-carboxylic acid (<b>D</b>) contents of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequency of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12); bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Salicylic acid (panel (<b>A</b>): solid and stripped bars are free and conjugated salicylic acids, respectively) and jasmonic acid (panel (<b>B</b>): solid and stripped bars are free and jasmonic acid-isoleucine, respectively) contents of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plants grown in soils after 5 years of treatment with varying application frequencies of municipal solid waste compost (MSWC). Soils with annual (AN), biennial (BI), and no (C) compost applications and MSWC alone. Vertical lines on bars represent standard errors (N = 12), bars with different alphabetical letters denote statistically significant differences in treatment means (N = 12) at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Pearson correlation matrix for maximum quantum efficiency of PSII, secondary metabolites, and phytohormones as affected by residual municipal solid waste compost (MSWC) after 5 years of application. The blue sections indicate positive correlation, and the red sections indicate negative correlation. The shade of white indicates no correlation.</p>
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<p>Heatmap summary of tomato (<span class="html-italic">Solanum lycopersicum</span> ‘Scotia’) plant growth, photosynthetic activity, and abiotic stress-response secondary metabolites and phytohormones as affected by residual municipal solid waste compost (MSWC) after 5 years of application. Annual (AN), biennial (BI), and no (C-soil) compost applications and MSWC alone.</p>
Full article ">
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