ArticleJournal of experimental botany2019
Resolution of quantitative resistance to clubroot into QTL-specific metabolic modules.
Article in Journal of experimental botany, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Roles of Metabolites Unveiled by Metabolomics inMetabolites · 2026Review
- Specialized Metabolic Reprogramming in Plant Immunity: Biosynthetic Networks, Spatiotemporal Regulation, and Quantitative Defense.Plants (Basel, Switzerland) · 2026Review
- Elucidating putative novel functions of the AINTEGUMENTA-LIKE 7 transcription factor in clubroot resistance in Arabidopsis.Plant molecular biology · 2026Article
- When Metabolomics Meets Quantitative Genetics: An Integrative Strategy to Elucidate Plant Resistance Mechanisms.Plant, cell & environment · 2026Review
- Proteomics Integrated with Transcriptomics of Clubroot Resistant and SusceptibleInternational journal of molecular sciences · 2025Article
- Clubroot resistant in cruciferous crops: recent advances in genes and QTLs identification and utilization.Horticulture research · 2025Article
- HO-CR and HOLL-CR: new forms of winter oilseed rape (Brassica napus L.) with altered fatty acid composition and resistance to selected pathotypes of Plasmodiophora brassicae (clubroot).Journal of applied genetics · 2024Article
- Changes in primary metabolism and associated gene expression during host-pathogen interaction in clubroot resistance of Brassica napus.PloS one · 2024Article
- The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics.Plants (Basel, Switzerland) · 2022Review
- Comparative Analysis of Untargeted Metabolomics in Tolerant and Sensitive Genotypes of Common Bean (Metabolites · 2022Article
- Multi-Omics Approaches to Improve Clubroot Resistance in Brassica with a Special Focus onInternational journal of molecular sciences · 2022Review
- What Can We Learn from -Omics Approaches to Understand Clubroot Disease?International journal of molecular sciences · 2022Review
- A Proteome-Level Investigation IntoFrontiers in plant science · 2022Article
- Variation of Glucosinolate Contents in Clubroot-Resistant and -SusceptiblePathogens (Basel, Switzerland) · 2021Article
- Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020Review
- Genetics of Clubroot and Fusarium Wilt Disease Resistance in Brassica Vegetables: The Application of Marker Assisted Breeding for Disease Resistance.Plants (Basel, Switzerland) · 2020Review
- Identification and QTL mapping of resistance to Turnip yellows virus (TuYV) in oilseed rape, Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Clubroot Symptoms and Resting Spore Production in a Doubled Haploid Population of Oilseed Rape (Frontiers in plant science · 2020Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant disease resistance is often under quantitative genetic control. Thus, in a given interaction, plant cellular responses to infection are influenced by resistance or susceptibility alleles at different loci. In this study, a genetic linkage analysis was used to address the complexity of the metabolic responses of Brassica napus roots to infection by Plasmodiophora brassicae. Metabolome profiling and pathogen quantification in a segregating progeny allowed a comparative mapping of quantitative trait loci (QTLs) involved in resistance and in metabolic adjustments. Distinct metabolic modules were associated with each resistance QTL, suggesting the involvement of different underlying cellular mechanisms. This approach highlighted the possible role of gluconasturtiin and two unknown metabolites in the resistance conferred by two QTLs on chromosomes C03 and C09, respectively. Only two susceptibility biomarkers (glycine and glutathione) were simultaneously linked to the three main resistance QTLs, suggesting the central role of these compounds in the interaction. By contrast, several genotype-specific metabolic responses to infection were genetically unconnected to resistance or susceptibility. Likewise, variations of root sugar profiles, which might have influenced pathogen nutrition, were not found to be related to resistance QTLs. This work illustrates how genetic metabolomics can help to understand plant stress responses and their possible links with disease.
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