Disruption of MAPK signalling and amino acid biosynthesis underlies the antifungal biocontrol mechanism of <i>Coniochaeta velutina</i> against <i>Colletotrichum gloeosporioides</i>: a transcriptome and metabolome analysis

<i>Colletotrichum gloeosporioides</i> is a destructive pathogen that causes significant economic and ecological losses in agricultural and forestry production. In search of effective biocontrol agents, this study isolated an endophytic fungus, <i>Coniochaeta velutina</i>, from healthy <i>Camellia oleifera</i> leaves and investigated its in vitro inhibitory mechanism on <i>Colletotrichum gloeosporioides</i> using transcriptomics and metabolomics analyses. These findings were used to evaluate the differences in gene expression and metabolite content between the treatment (<i>Coniochaeta velutina</i>-treated <i>Colletotrichum gloeosporioides</i>) and control (untreated <i>Colletotrichum gloeosporioides</i>) groups. The transcriptomic analysis detected a total of 15 310 expressed genes, with 3938 showing significant differential expression (<i>p</i> < 0.05) (2093 upregulated and 1845 downregulated genes). These genes were enriched primarily in the following pathways: mitogen-activated protein kinase (MAPK) signalling, antibiotic biosynthesis, amino acid metabolism, carbon metabolism, and peroxidase pathways. Metabolomic analysis revealed 452 metabolites in both groups, with 138 showing significant differences. These genes were enriched mainly in secondary metabolite biosynthesis, amino acid biosynthesis, and α-linolenic acid metabolism. Transcriptome and metabolome association analyses, along with qRT-PCR results, revealed that the levels of intracellular pectolinarigenin metabolites significantly increased in the treatment group, leading to disrupted MAPK signalling and reduced amino acid biosynthesis, which are essential for maintaining normal cell growth. Notably, the decrease in terpenoid compounds was the primary reason that <i>Colletotrichum gloeosporioides</i> was inhibited by the biocontrol fungus <i>Coniochaeta velutina.</i> Therefore, these findings provide valuable insights into the biocontrol mechanisms of <i>Coniochaeta velutina</i> against <i>Colletotrichum gloeosporioides</i> and offer a promising foundation for the development of new anthracnose prevention and control strategies.

Authors

Institutions

Publication Details

Journal
Canadian Journal of Microbiology
Published
2025-01-01
DOI
https://doi.org/10.1139/cjm-2023-0223
Citations
1
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disruption of MAPK signalling and amino acid biosynthesis underlies the antifungal biocontrol mechanism of Coniochaeta velutina against Colletotrichum gloeosporioides: a transcriptome and metabolome analysis

Tianxiao Ma, Zhuoqi Li, Qingsong Zhu, Wei Zheng et al.
1 citations
Canadian Journal of Microbiology
Microbial Natural Products and Biosynthesis
1.39
article

Disruption of MAPK signalling and amino acid biosynthesis underlies the antifungal biocontrol mechanism of Coniochaeta velutina against Colletotrichum gloeosporioides: a transcriptome and metabolome analysis

Tianxiao Ma, Zhuoqi Li, Qingsong Zhu, Wei Zheng, Chunling Yang, Chengbo Zhou
article en
1 citations

Abstract

<i>Colletotrichum gloeosporioides</i> is a destructive pathogen that causes significant economic and ecological losses in agricultural and forestry production. In search of effective biocontrol agents, this study isolated an endophytic fungus, <i>Coniochaeta velutina</i>, from healthy <i>Camellia oleifera</i> leaves and investigated its in vitro inhibitory mechanism on <i>Colletotrichum gloeosporioides</i> using transcriptomics and metabolomics analyses. These findings were used to evaluate the differences in gene expression and metabolite content between the treatment (<i>Coniochaeta velutina</i>-treated <i>Colletotrichum gloeosporioides</i>) and control (untreated <i>Colletotrichum gloeosporioides</i>) groups. The transcriptomic analysis detected a total of 15 310 expressed genes, with 3938 showing significant differential expression (<i>p</i> < 0.05) (2093 upregulated and 1845 downregulated genes). These genes were enriched primarily in the following pathways: mitogen-activated protein kinase (MAPK) signalling, antibiotic biosynthesis, amino acid metabolism, carbon metabolism, and peroxidase pathways. Metabolomic analysis revealed 452 metabolites in both groups, with 138 showing significant differences. These genes were enriched mainly in secondary metabolite biosynthesis, amino acid biosynthesis, and α-linolenic acid metabolism. Transcriptome and metabolome association analyses, along with qRT-PCR results, revealed that the levels of intracellular pectolinarigenin metabolites significantly increased in the treatment group, leading to disrupted MAPK signalling and reduced amino acid biosynthesis, which are essential for maintaining normal cell growth. Notably, the decrease in terpenoid compounds was the primary reason that <i>Colletotrichum gloeosporioides</i> was inhibited by the biocontrol fungus <i>Coniochaeta velutina.</i> Therefore, these findings provide valuable insights into the biocontrol mechanisms of <i>Coniochaeta velutina</i> against <i>Colletotrichum gloeosporioides</i> and offer a promising foundation for the development of new anthracnose prevention and control strategies.

Canadian Journal of MicrobiologyVol. 71
Agriculture and Forestry University (NP), Xinyang Agriculture and Forestry University (CN), Forest Research (GB)
Openalex Percentile: Top 20%
Microbial Natural Products and Biosynthesis
1.39
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.