ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017
Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Pooled it
- Discovery of common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits in Brassica napus L.Plant cell reports · 2023Pooled it
- Cytological and genetic analyses of the seed number per silique locus BnSNSC09 in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Fine mapping and candidate gene analysis of the major QTL qSW-A03 for seed weight in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic selection and genetic architecture of agronomic traits during modern flowering Chinese cabbage breeding.Horticulture research · 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
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- Identification of Rapeseed (International journal of molecular sciences · 2024Article
- Lipid Metabolism and Improvement in Oilseed Crops: Recent Advances in Multi-Omics Studies.Metabolites · 2023Review
- Characterization of novel loci controlling seed oil content in Brassica napus by marker metabolite-based multi-omics analysis.Genome biology · 2023Article
- Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield.Plant methods · 2023Article
- Article
- Genome-Wide Association Studies of Salt Tolerance at the Seed Germination Stage and Yield-Related Traits inInternational journal of molecular sciences · 2022Article
- Genome-wide association study identifies candidate genes and favorable haplotypes for seed yield inMolecular breeding : new strategies in plant improvement · 2022Article
- Seed Traits Research Is on the Rise: A Bibliometric Analysis from 1991-2020.Plants (Basel, Switzerland) · 2022Review
- Genomic selection and genetic architecture of agronomic traits during modern rapeseed breeding.Nature genetics · 2022Article
- Genetic dissection of seed yield and yield-related traits inMolecular breeding : new strategies in plant improvement · 2022Article
- Genome-wide characterization of ovate family protein gene family associated with number of seeds per silique inFrontiers in plant science · 2022Article
- Integrating GWAS, linkage mapping and gene expression analyses reveal the genetic control of first branch height inFrontiers in plant science · 2022Article
- Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits inFrontiers in plant science · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors.
Funding
Abstract
key messageA comprehensive linkage atlas for seed yield in rapeseed. Most agronomic traits of interest for crop improvement (including seed yield) are highly complex quantitative traits controlled by numerous genetic loci, which brings challenges for comprehensively capturing associated markers/genes. We propose that multiple trait interactions underlie complex traits such as seed yield, and that considering these component traits and their interactions can dissect individual quantitative trait loci (QTL) effects more effectively and improve yield predictions. Using a segregating rapeseed (Brassica napus) population, we analyzed a large set of trait data generated in 19 independent experiments to investigate correlations between seed yield and other complex traits, and further identified QTL in this population with a SNP-based genetic bin map. A total of 1904 consensus QTL accounting for 22 traits, including 80 QTL directly affecting seed yield, were anchored to the B. napus reference sequence. Through trait association analysis and QTL meta-analysis, we identified a total of 525 indivisible QTL that either directly or indirectly contributed to seed yield, of which 295 QTL were detected across multiple environments. A majority (81.5%) of the 525 QTL were pleiotropic. By considering associations between traits, we identified 25 yield-related QTL previously ignored due to contrasting genetic effects, as well as 31 QTL with minor complementary effects. Implementation of the 525 QTL in genomic prediction models improved seed yield prediction accuracy. Dissecting the genetic and phenotypic interrelationships underlying complex quantitative traits using this method will provide valuable insights for genomics-based crop improvement.
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