Integration of Transcriptomics and WGCNA to Characterize Trichoderma harzianum-Induced Systemic Resistance in Astragalus mongholicus for Defense against Fusarium solani

Beneficial fungi of the genus <i>Trichoderma</i> are among the most widespread biocontrol agents that induce a plant's defense response against pathogens. <i>Fusarium solani</i> is one of the main pathogens that can negatively affect <i>Astragalus mongholicus</i> production and quality. To investigate the impact of <i>Trichoderma harzianum</i> on <i>Astragalus mongholicus</i> defense responses to <i>Fusarium solani</i>, <i>A. mongholicus</i> roots under <i>T. harzianum</i> + <i>F. solani</i> (T + F) treatment and <i>F. solani</i> (F) treatment were sampled and subjected to transcriptomic analysis. A differential expression analysis revealed that 6361 differentially expressed genes (DEGs) responded to <i>T. harzianum</i> induction. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the 6361 DEGs revealed that the genes significantly clustered into resistance-related pathways, such as the plant-pathogen interaction pathway, phenylpropanoid biosynthesis pathway, flavonoid biosynthesis pathway, isoflavonoid biosynthesis pathway, mitogen-activated protein kinase (MAPK) signaling pathway, and plant hormone signal transduction pathway. Pathway analysis revealed that the <i>PR1</i>, formononetin biosynthesis, biochanin A biosynthesis, and <i>CHIB</i>, ROS production, and <i>HSP90</i> may be upregulated by <i>T. harzianum</i> and play important roles in disease resistance. Our study further revealed that the H<sub>2</sub>O<sub>2</sub> content was significantly increased by <i>T. harzianum</i> induction. Formononetin and biochanin A had the potential to suppress <i>F. solani</i>. Weighted gene coexpression network analysis (WGCNA) revealed one module, including 58 DEGs associated with <i>T. harzianum</i> induction. One core hub gene, <i>RPS25</i>, was found to be upregulated by <i>T. harzianum</i>, SA (salicylic acid) and ETH (ethephon). Overall, our data indicate that <i>T. harzianum</i> can induce induced systemic resistance (ISR) and systemic acquired resistance (SAR) in <i>A. mongholicus</i>. The results of this study lay a foundation for a further understanding of the molecular mechanism by which <i>T. harzianum</i> induces resistance in <i>A. mongholicus</i>.

Authors

Institutions

Publication Details

Journal
Genes
Published
2024-09-08
DOI
https://doi.org/10.3390/genes15091180
Citations
7
Primary Topic
Plant-Microbe Interactions and Immunity
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integration of Transcriptomics and WGCNA to Characterize Trichoderma harzianum-Induced Systemic Resistance in Astragalus mongholicus for Defense against Fusarium solani

Wandi Li, Jingping Niu, Zhiyong Shi, Jianping Liang et al.
7 citations
Genes
Plant-Microbe Interactions and Immunity
4.20
article

Integration of Transcriptomics and WGCNA to Characterize Trichoderma harzianum-Induced Systemic Resistance in Astragalus mongholicus for Defense against Fusarium solani

Wandi Li, Jingping Niu, Zhiyong Shi, Jianping Liang, Yan Xiang, Hongjun Liu, Yuanyuan Wang, Genglong Lu, Yuguo Bai
article en
7 citations

Abstract

Beneficial fungi of the genus <i>Trichoderma</i> are among the most widespread biocontrol agents that induce a plant's defense response against pathogens. <i>Fusarium solani</i> is one of the main pathogens that can negatively affect <i>Astragalus mongholicus</i> production and quality. To investigate the impact of <i>Trichoderma harzianum</i> on <i>Astragalus mongholicus</i> defense responses to <i>Fusarium solani</i>, <i>A. mongholicus</i> roots under <i>T. harzianum</i> + <i>F. solani</i> (T + F) treatment and <i>F. solani</i> (F) treatment were sampled and subjected to transcriptomic analysis. A differential expression analysis revealed that 6361 differentially expressed genes (DEGs) responded to <i>T. harzianum</i> induction. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the 6361 DEGs revealed that the genes significantly clustered into resistance-related pathways, such as the plant-pathogen interaction pathway, phenylpropanoid biosynthesis pathway, flavonoid biosynthesis pathway, isoflavonoid biosynthesis pathway, mitogen-activated protein kinase (MAPK) signaling pathway, and plant hormone signal transduction pathway. Pathway analysis revealed that the <i>PR1</i>, formononetin biosynthesis, biochanin A biosynthesis, and <i>CHIB</i>, ROS production, and <i>HSP90</i> may be upregulated by <i>T. harzianum</i> and play important roles in disease resistance. Our study further revealed that the H<sub>2</sub>O<sub>2</sub> content was significantly increased by <i>T. harzianum</i> induction. Formononetin and biochanin A had the potential to suppress <i>F. solani</i>. Weighted gene coexpression network analysis (WGCNA) revealed one module, including 58 DEGs associated with <i>T. harzianum</i> induction. One core hub gene, <i>RPS25</i>, was found to be upregulated by <i>T. harzianum</i>, SA (salicylic acid) and ETH (ethephon). Overall, our data indicate that <i>T. harzianum</i> can induce induced systemic resistance (ISR) and systemic acquired resistance (SAR) in <i>A. mongholicus</i>. The results of this study lay a foundation for a further understanding of the molecular mechanism by which <i>T. harzianum</i> induces resistance in <i>A. mongholicus</i>.

GenesVol. 15(9)
Shanxi Agricultural University (CN), Shanxi University (CN)
Openalex Percentile: Top 6%
Plant-Microbe Interactions and Immunity
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.