Co-optation of Transcription Factors Drives Evolution of Quantitative Disease Resistance Against a Necrotrophic Pathogen.

Wild crop relatives exhibit diverse levels of quantitative disease resistance (QDR), but the underlying genomic and regulatory factors remain unclear.In particular, whether QDR against generalist necrotrophic pathogens evolved via conserved or species-specific regulatory networks is unknown.In a previous study, we examined the QDR diversity in wild Solanum species using digital high-resolution phenotyping technology.Here, we examined the transcriptomic responses of five diverse wild tomato (Solanum) species spanning a QDR gradient using differential gene expression analysis, gene regulatory network analysis and weighted gene co-expression network analysis (WGCNA).We find that species-specific regulatory features, encompassing infection-induced and constitutively expressed genes, predominantly shape QDR levels.To further dissect the evolutionary dynamics of these regulatory patterns, we performed phylotranscriptomic analyses on gene regulatory networks. Conclusions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1094/3104667-p-020.pdf
Primary Topic
Plant Pathogenic Bacteria Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Co-optation of Transcription Factors Drives Evolution of Quantitative Disease Resistance Against a Necrotrophic Pathogen.

Plant Pathogenic Bacteria Studies
article

Co-optation of Transcription Factors Drives Evolution of Quantitative Disease Resistance Against a Necrotrophic Pathogen.

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Abstract

Wild crop relatives exhibit diverse levels of quantitative disease resistance (QDR), but the underlying genomic and regulatory factors remain unclear.In particular, whether QDR against generalist necrotrophic pathogens evolved via conserved or species-specific regulatory networks is unknown.In a previous study, we examined the QDR diversity in wild Solanum species using digital high-resolution phenotyping technology.Here, we examined the transcriptomic responses of five diverse wild tomato (Solanum) species spanning a QDR gradient using differential gene expression analysis, gene regulatory network analysis and weighted gene co-expression network analysis (WGCNA).We find that species-specific regulatory features, encompassing infection-induced and constitutively expressed genes, predominantly shape QDR levels.To further dissect the evolutionary dynamics of these regulatory patterns, we performed phylotranscriptomic analyses on gene regulatory networks. Conclusions

Deutsche Forschungsgemeinschaft
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Plant Pathogenic Bacteria Studies
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Co-optation of Transcription Factors Drives Evolution of Quantitative Disease Resistance Against a Necrotrophic Pathogen. · (2025) | TGRS Research Map | TGRS