Transcriptome and Co-Expression Network Analyses of Resistant and Susceptible Rice Cultivars in Response to Meloidogyne graminicola

<i>Meloidogyne graminicola</i> represents a significant pathogen of rice, with considerable variability in nematode resistance observed across rice germplasms. However, the gene regulatory networks and molecular mechanisms underlying the differential responses of resistant and susceptible cultivars to <i>M. graminicola</i> infection remain poorly understood. To identify potential sources of resistance, 122 indica cultivars were screened under controlled conditions based on gall formation in infected roots. Notably, Indian indica accession 685 exhibited exceptional resistance, characterized by complete suppression of nematode development within root tissue. To investigate the molecular responses of rice cultivars to <i>M. graminicola</i> infection, RNA sequencing was conducted to analyze gene expression profiles at 5 days post-inoculation (dpi) in resistant cultivar 685, moderately susceptible cultivar 1008, and susceptible cultivar 9311. Subsequent differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) identified key biological pathways, including sugar metabolism, autophagic degradation, and phytohormone signal transduction. Additionally, candidate hub genes were identified and validated through RT-qPCR. This study offers new insights into rice-<i>M. graminicola</i> interactions, highlighting critical molecular factors involved in resistance and susceptibility in host plants.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-05-31
DOI
https://doi.org/10.3390/ijms26115315
Citations
1
Primary Topic
Nematode management and characterization studies
Type
article
Field-Weighted Citation Impact
1.75

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article

Transcriptome and Co-Expression Network Analyses of Resistant and Susceptible Rice Cultivars in Response to Meloidogyne graminicola

Zitong Xiao, W. Lai, Linyan Zhou, Shibei Du et al.
1 citations
International Journal of Molecular Sciences
Nematode management and characterization studies
1.75
article

Transcriptome and Co-Expression Network Analyses of Resistant and Susceptible Rice Cultivars in Response to Meloidogyne graminicola

Zitong Xiao, W. Lai, Linyan Zhou, Shibei Du, Shirui Zhang, Jiansong Chen, Keyin Shen
article en
1 citations

Abstract

<i>Meloidogyne graminicola</i> represents a significant pathogen of rice, with considerable variability in nematode resistance observed across rice germplasms. However, the gene regulatory networks and molecular mechanisms underlying the differential responses of resistant and susceptible cultivars to <i>M. graminicola</i> infection remain poorly understood. To identify potential sources of resistance, 122 indica cultivars were screened under controlled conditions based on gall formation in infected roots. Notably, Indian indica accession 685 exhibited exceptional resistance, characterized by complete suppression of nematode development within root tissue. To investigate the molecular responses of rice cultivars to <i>M. graminicola</i> infection, RNA sequencing was conducted to analyze gene expression profiles at 5 days post-inoculation (dpi) in resistant cultivar 685, moderately susceptible cultivar 1008, and susceptible cultivar 9311. Subsequent differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) identified key biological pathways, including sugar metabolism, autophagic degradation, and phytohormone signal transduction. Additionally, candidate hub genes were identified and validated through RT-qPCR. This study offers new insights into rice-<i>M. graminicola</i> interactions, highlighting critical molecular factors involved in resistance and susceptibility in host plants.

International Journal of Molecular SciencesVol. 26(11)
South China Agricultural University (CN), Rice Research Institute (CN), Guangdong Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Zhongkai University of Agriculture and Engineering (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 15%
Nematode management and characterization studies
1.75
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