ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2018
Multi-year linkage and association mapping confirm the high number of genomic regions involved in oilseed rape quantitative resistance to blackleg.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of GWAS in canola blackleg (Leptosphaeria maculans) disease traits demonstrates increased power from imputed whole-genome sequence.Scientific reports · 2020Pooled it
- Local adaptation of both plant and pathogen: an arms-race compromise in switchgrass rust.The New phytologist · 2025Article
- Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance.BMC genomics · 2025Article
- Quantifying Genetic Parameters for Blackleg Resistance in Rapeseed: A Comparative Study.Plants (Basel, Switzerland) · 2024Article
- DArTseq-Based, High-Throughput Identification of Novel Molecular Markers for the Detection of Blackleg (International journal of molecular sciences · 2024Article
- Genetic and molecular analysis of stem rot (Sclerotinia sclerotiorum) resistance in Brassica napus (canola type).Heliyon · 2023Article
- Review
- "Late" effectors fromPlant direct · 2022Article
- Article
- Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits inFrontiers in plant science · 2022Article
- Metabolic Capacity DifferentiatesPathogens (Basel, Switzerland) · 2022Article
- Status and advances in mining for blackleg (Leptosphaeria maculans) quantitative resistance (QR) in oilseed rape (Brassica napus).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- A Modified Meiotic Recombination inBiology · 2021Article
- A gene-for-gene interaction involving a 'late' effector contributes to quantitative resistance to the stem canker disease in Brassica napus.The New phytologist · 2021Article
- Enhancing backcross programs through increased recombination.Genetics, selection, evolution : GSE · 2021Article
- TheFrontiers in plant science · 2021Article
- Dissection of Quantitative Blackleg Resistance Reveals Novel Variants of Resistance GeneFrontiers in plant science · 2021Article
- Long-read assembly of the Brassica napus reference genome Darmor-bzh.GigaScience · 2020Article
- Identification of resistance loci in Chinese and Canadian canola/rapeseed varieties against Leptosphaeria maculans based on genome-wide association studies.BMC genomics · 2020Article
- Exploring Mechanisms of Quantitative Resistance toPlants (Basel, Switzerland) · 2020Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageA repertoire of the genomic regions involved in quantitative resistance to Leptosphaeria maculans in winter oilseed rape was established from combined linkage-based QTL and genome-wide association (GWA) mapping. Linkage-based mapping of quantitative trait loci (QTL) and genome-wide association studies are complementary approaches for deciphering the genomic architecture of complex agronomical traits. In oilseed rape, quantitative resistance to blackleg disease, caused by L. maculans, is highly polygenic and is greatly influenced by the environment. In this study, we took advantage of multi-year data available on three segregating populations derived from the resistant cv Darmor and multi-year data available on oilseed rape panels to obtain a wide overview of the genomic regions involved in quantitative resistance to this pathogen in oilseed rape. Sixteen QTL regions were common to at least two biparental populations, of which nine were the same as previously detected regions in a multi-parental design derived from different resistant parents. Eight regions were significantly associated with quantitative resistance, of which five on A06, A08, A09, C01 and C04 were located within QTL support intervals. Homoeologous Brassica napus genes were found in eight homoeologous QTL regions, which corresponded to 657 pairs of homoeologous genes. Potential candidate genes underlying this quantitative resistance were identified. Genomic predictions and breeding are also discussed, taking into account the highly polygenic nature of this resistance.
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