Temporal Shifts in Gene Expression Drive Quantitative Resistance to a Necrotrophic Fungus in a Tomato Crop Wild Relative
Severin EinspanieriD, Andrea Tobian Herreno, Nandeesh Jalahalli RangegowdaiD, Laura GroenenbergiD, Théo van der LeeiD, Remco StamiD
Abstract
Resistance breeding against generalist necrotrophic pathogens heavily relies on quantitative disease resistance (QDR). Lesion growth dynamics involve distinct phases (e.g., lag phase duration or lesion doubling time), each independently affecting the overall symptom severity. While the genetic and regulatory basis of lesion growth rate has been studied, the host-derived regulation of the lag-phase duration remains largely uncharacterised. In this study, we tested the regulatory response of Solanum pennellii genotypes exhibiting different lag-phase durations. We conducted a time-series gene expression profiling experiment dissecting genotype-specific regulatory responses to Sclerotinia sclerotiorum inoculation. We observed genotype-specific regulatory trajectories, with resistant plants displaying early activation of defence-related genes during the asymptomatic phase. These genes, regulated by a WRKY6-centered gene regulatory network, exhibited elevated basal expression in resistant genotypes and a fine-tuned longitudinal expression with induction before lesion onset. In contrast, susceptible genotypes lacked this early response, showing gene induction only post-infection. This study is the first to link host regulatory dynamics to lag-phase duration, suggesting that elevated basal expression of receptor genes and a WRKY6-mediated gene regulatory network may enhance QDR. These findings provide insights into the regulatory foundation of QDR and establish a functional basis for more focused breeding of QDR traits.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- High-resolution disease phenotyping reveals distinct resistance strategies of wild tomato crop wild relatives against Sclerotinia sclerotiorum
Severin Einspanier, Christopher Tominello-Ramirez, … Remco Stam·Plant PhenomicsPeer-reviewed·Jan 1, 2024
- Rapid identification of an Arabidopsis NLR gene conferring susceptibility to Sclerotinia sclerotiorum using time-resolved automated phenotyping
A. Barbacci, O. Navaud, … S. Raffaele·bioRxiv·Dec 6, 2018
- Co-optation of Transcription Factors Drives Evolution of Quantitative Disease Resistance Against a Necrotrophic Pathogen.
Severin Einspanier, Christopher Tominello-Ramirez, … Remco Stam·bioRxiv·Feb 26, 2025
- Identification of Lactuca sativa transcription factors impacting resistance to Botrytis cinerea through predictive network inference
- Neutral transcriptome rewiring promotes QDR evolvability at the species level
Florent Delplace, Mehdi Khafif, … Sylvain Raffaele·The Plant CellPeer-reviewed·May 9, 2025
- Identification of genetic loci in lettuce mediating quantitative resistance to fungal pathogens