ArticleBMC genomics2013
Quantitative trait loci-dependent analysis of a gene co-expression network associated with Fusarium head blight resistance in bread wheat (Triticum aestivum L.).
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.
- Meta-Analysis of the QTLome of Fusarium Head Blight Resistance in Bread Wheat: Refining the Current Puzzle.Frontiers in plant science · 2019Pooled it
- Susceptibility of durum wheat to Fusarium graminearum, Blumeria graminis f.sp. tritici, and Zymoseptoria tritici in Poland.Scientific reports · 2025Article
- Exploration of Genomic Regions Associated with Fusarium Head Blight Resistance in Wheat and Development and Validation of Kompetitive Allele-Specific Polymerase Chain Reaction Markers.International journal of molecular sciences · 2025Article
- All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- A conserved fungal Knr4/Smi1 protein is crucial for maintaining cell wall stress tolerance and host plant pathogenesis.PLoS pathogens · 2025Article
- Molecular Investigations to Improve Fusarium Head Blight Resistance in Wheat: An Update Focusing on Multi-Omics Approaches.Plants (Basel, Switzerland) · 2024Review
- Update on the Basic Understanding ofPlants (Basel, Switzerland) · 2024Review
- Exploring the genetic architecture of powdery mildew resistance in wheat through QTL meta-analysis.Frontiers in plant science · 2024Article
- Transcriptome analysis under pecan scab infection reveals the molecular mechanisms of the defense response in pecans.PloS one · 2024Article
- Transcriptional Profiling Reveals the Wheat Defences against Fusarium Head Blight Disease Regulated by a NAC Transcription Factor.Plants (Basel, Switzerland) · 2023Article
- Genome-Wide Identification of Candidate Genes Associated with Heat Stress in Mulberry (Current issues in molecular biology · 2023Article
- Genome-wide association analysis of type II resistance to Fusarium head blight in common wheat.PeerJ · 2023Article
- Comprehensive analysis of pathogen-responsive wheat NAC transcription factors: new candidates for crop improvement.G3 (Bethesda, Md.) · 2022Article
- Meta-analysis reveals consensus genomic regions associated with multiple disease resistance in wheat (Molecular breeding : new strategies in plant improvement · 2022Article
- Linking Multi-Omics to Wheat Resistance Types toInternational journal of molecular sciences · 2022Review
- Review
- Plant PhysioSpace: a robust tool to compare stress response across plant species.Plant physiology · 2021Article
- Fusarium head blight resistance in European winter wheat: insights from genome-wide transcriptome analysis.BMC genomics · 2021Article
- Extensive structural variation in the Bowman-Birk inhibitor family in common wheat (Triticum aestivum L.).BMC genomics · 2021Article
- Merging Genomics and Transcriptomics for Predicting Fusarium Head Blight Resistance in Wheat.Genes · 2021Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFusarium head blight (FHB) caused by Fusarium graminearum Schwabe is one of the most prevalent diseases of wheat (Triticum aestivum L.) and other small grain cereals. Resistance against the fungus is quantitative and more than 100 quantitative trait loci (QTL) have been described. Two well-validated and highly reproducible QTL, Fhb1 and Qfhs.ifa-5A have been widely investigated, but to date the underlying genes have not been identified.
resultsWe have investigated a gene co-expression network activated in response to F. graminearum using RNA-seq data from near-isogenic lines, harboring either the resistant or the susceptible allele for Fhb1 and Qfhs.ifa-5A. The network identified pathogen-responsive modules, which were enriched for differentially expressed genes between genotypes or different time points after inoculation with the pathogen. Central gene analysis identified transcripts associated with either QTL within the network. Moreover, we present a detailed gene expression analysis of four gene families (glucanases, NBS-LRR, WRKY transcription factors and UDP-glycosyltransferases), which take prominent roles in the pathogen response.
conclusionsA combination of a network-driven approach and differential gene expression analysis identified genes and pathways associated with Fhb1 and Qfhs.ifa-5A. We find G-protein coupled receptor kinases and biosynthesis genes for jasmonate and ethylene earlier induced for Fhb1. Similarly, we find genes involved in the biosynthesis and metabolism of riboflavin more abundant for Qfhs.ifa-5A.
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