Global Analysis of microRNA-like RNAs Reveals Differential Regulation of Pathogenicity and Development in Fusarium oxysporum HS2 Causing Apple Replant Disease

This study investigated the expression profiles of microRNA-like RNAs (milRNAs) in <i>Fusarium oxysporum HS2</i> (<i>FoHS2</i>), a key pathogen causing Apple replant disease (ARD), across spore to mycelium formation stages. Using small RNA sequencing (sRNA-seq) and bioinformatics, we identified and analyzed milRNAs, revealing their targeting of 2364 mRNAs involved in 20 functional categories, including metabolic and cellular processes, based on gene ontology (GO) analysis. An analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that these mRNAs are related to carbohydrate and amino acid metabolism pathways. Notably, the highest number of differentially or specifically expressed milRNAs (DEmilRNAs/SEmilRNAs) was found during the spore stage, with <i>FoHS2</i>-milR19 targeting genes encoding histone acetyltransferases, methyltransferases, and cell wall-degrading enzymes (CWDEs), which are crucial for growth, development, and pathogenicity. We validated the reliability of our sRNA-seq data and the expression of target genes using stem-loop RT-PCR and qRT-PCR. Our results highlight the stage-specific expression of milRNAs in <i>FoHS2</i>, particularly in the spore stage, suggesting a key role in regulating host life activities and providing a theoretical basis for developing RNA-based pesticides to control ARD.

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Publication Details

Journal
Journal of Fungi
Published
2024-12-19
DOI
https://doi.org/10.3390/jof10120883
Citations
2
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.65

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article

Global Analysis of microRNA-like RNAs Reveals Differential Regulation of Pathogenicity and Development in Fusarium oxysporum HS2 Causing Apple Replant Disease

Ruxin Zhao, Xun Suo, Tongle Hu, Xianglong Meng et al.
2 citations
Journal of Fungi
Plant Pathogens and Fungal Diseases
0.65
article

Global Analysis of microRNA-like RNAs Reveals Differential Regulation of Pathogenicity and Development in Fusarium oxysporum HS2 Causing Apple Replant Disease

Ruxin Zhao, Xun Suo, Tongle Hu, Xianglong Meng, Pengbo Dai, Bo Li, Shutong Wang, Keqiang Cao, Yanan Wang
article en
2 citations

Abstract

This study investigated the expression profiles of microRNA-like RNAs (milRNAs) in <i>Fusarium oxysporum HS2</i> (<i>FoHS2</i>), a key pathogen causing Apple replant disease (ARD), across spore to mycelium formation stages. Using small RNA sequencing (sRNA-seq) and bioinformatics, we identified and analyzed milRNAs, revealing their targeting of 2364 mRNAs involved in 20 functional categories, including metabolic and cellular processes, based on gene ontology (GO) analysis. An analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that these mRNAs are related to carbohydrate and amino acid metabolism pathways. Notably, the highest number of differentially or specifically expressed milRNAs (DEmilRNAs/SEmilRNAs) was found during the spore stage, with <i>FoHS2</i>-milR19 targeting genes encoding histone acetyltransferases, methyltransferases, and cell wall-degrading enzymes (CWDEs), which are crucial for growth, development, and pathogenicity. We validated the reliability of our sRNA-seq data and the expression of target genes using stem-loop RT-PCR and qRT-PCR. Our results highlight the stage-specific expression of milRNAs in <i>FoHS2</i>, particularly in the spore stage, suggesting a key role in regulating host life activities and providing a theoretical basis for developing RNA-based pesticides to control ARD.

Journal of FungiVol. 10(12)
Hebei Agricultural University (CN), Shijiazhuang Academy of Agriculture and Forestry Sciences (CN), Hebei Academy of Agriculture and Forestry Sciences (CN)
Hebei Provincial Department of Human Resources and Social Security, Natural Science Foundation of Hebei Province, Agriculture Research System of China
Responsible consumption and production
Openalex Percentile: Top 30%
Plant Pathogens and Fungal Diseases
0.65
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