ArticleBMC plant biology2014
A combined linkage and regional association mapping validation and fine mapping of two major pleiotropic QTLs for seed weight and silique length in rapeseed (Brassica napus L.).
Article in BMC plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 124 citations in OpenAlex.
- A High-Thousand-Seed-Weight Mutant ofInternational journal of molecular sciences · 2026Article
- Article
- Marker Metabolite-Based Multi-Omics Analysis Identifies New Loci Controlling Thousand Seed Weight in Brassica Napus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Genome-wide association study reveals genetic loci for seed density per silique in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Combined BSA-seq and RNA-seq approaches reveal candidate genes associated with seed weight inFrontiers in plant science · 2025Article
- Integrating GWAS, RNA-Seq and functional analysis revealed that BnaA02.SE mediates silique elongation by affecting cell proliferation and expansion in Brassica napus.Plant biotechnology journal · 2024Article
- Molecular mapping and candidate gene identification of two major quantitative trait loci associated with silique length in oilseed rape (Molecular breeding : new strategies in plant improvement · 2024Article
- Integrated analysis of BSA-seq and RNA-seq identified the candidate genes for seed weight inFrontiers in plant science · 2024Article
- A systematic dissection in oilseed rape provides insights into the genetic architecture and molecular mechanism of yield heterosis.Plant biotechnology journal · 2023Article
- Fine Mapping of a Pleiotropic Locus (International journal of molecular sciences · 2023Article
- Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation.Plant phenomics (Washington, D.C.) · 2023Article
- Genome-wide association study as a powerful tool for dissecting competitive traits in legumes.Frontiers in plant science · 2023Review
- Genome-wide association mapping for component traits of drought tolerance in dry beans (Phaseolus vulgaris L.).PloS one · 2023Article
- Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination.Biotechnology for biofuels and bioproducts · 2022Article
- Transcriptomic analysis of rapeseed (Frontiers in plant science · 2022Article
- Genome-wide association study and transcriptome analysis dissect the genetic control of silique length in Brassica napus L.Biotechnology for biofuels · 2021Article
- Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Biomolecules · 2021Review
- Both overlapping and independent loci underlie seed number per pod and seed weight inMolecular breeding : new strategies in plant improvement · 2021Article
- A high-quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance.Plant biotechnology journal · 2021Article
- Genetic dissection of thousand-seed weight and fine mapping of cqSW.A03-2 via linkage and association analysis in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeed weight (SW) and silique length (SL) are important determinants of the yield potential in rapeseed (Brassica napus L.). However, the genetic basis of both traits is poorly understood. The main objectives of this study were to dissect the genetic basis of SW and SL in rapeseed through the preliminary mapping of quantitative trait locus (QTL) by linkage analysis and fine mapping of the target major QTL by regional association analysis.
resultsPreliminary linkage mapping identified thirteen and nine consensus QTLs for SW and SL, respectively. These QTLs explained 0.7-67.1% and 2.1-54.4% of the phenotypic variance for SW and SL, respectively. Of these QTLs, three pairs of SW and SL QTLs were co-localized and integrated into three unique QTLs. In addition, the significance level and genetic effect of the three co-localized QTLs for both SW and SL showed great variation before and after the conditional analysis. Moreover, the allelic effects of the three QTLs for SW were highly consistent with those for SL. Two of the three co-localized QTLs, uq.A09-1 (mean R(2) = 20.1% and 19.0% for SW and SL, respectively) and uq.A09-3 (mean R(2) = 13.5% and 13.2% for SW and SL, respectively), were detected in all four environments and showed the opposite additive-effect direction. These QTLs were validated and fine mapped (their confidence intervals were narrowed down from 5.3 cM to 1 cM for uq.A09-1 and 13.2 cM to 2.5 cM for uq.A09-3) by regional association analysis with a panel of 576 inbred lines, which has a relatively rapid linkage disequilibrium decay (0.3 Mb) in the target QTL region.
conclusionsA few QTLs with major effects and several QTLs with moderate effects might contribute to the natural variation of SW and SL in rapeseed. The meta-, conditional and allelic effect analyses suggested that pleiotropy, rather than tight linkage, was the genetic basis of the three pairs of co-localized of SW and SL QTLs. Regional association analysis was an effective and highly efficient strategy for the direct fine mapping of target major QTL identified by preliminary linkage mapping.
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