ArticleBiotechnology for biofuels2020
Integrating GWAS, linkage mapping and gene expression analyses reveals the genetic control of growth period traits in rapeseed (
Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 36 citations in OpenAlex.
- Genetic Mapping and Identification of Candidate Genes for a New Multi-Branching MutantInternational journal of molecular sciences · 2026Article
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- Multifactor Analysis of a Genome-Wide Selection System inPlants (Basel, Switzerland) · 2025Article
- Genomic Regions and Candidate Genes Affecting Response to Heat Stress with Newcastle Virus Infection in Commercial Layer Chicks Using Chicken 600K Single Nucleotide Polymorphism Array.International journal of molecular sciences · 2024Article
- Dissection of the genetic basis and molecular mechanism of ovule number per ovary in oilseed rape (Frontiers in plant science · 2024Article
- Genome-wide association study reveals GmFulb as candidate gene for maturity time and reproductive length in soybeans (Glycine max).PloS one · 2024Article
- Photosynthetic characteristics and genetic mapping of a new yellow leaf mutantMolecular breeding : new strategies in plant improvement · 2023Article
- Transcriptomic Profiling of Shoot Apical Meristem Aberrations in the Multi-Main-Stem Mutant (Genes · 2023Article
- Application of machine learning algorithms and feature selection in rapeseed (Brassica napus L.) breeding for seed yield.Plant methods · 2023Article
- Linkage and association mapping of ovule number per ovary (ON) in oilseed rape (Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-Wide Association Study of Glucosinolate Metabolites (mGWAS) inPlants (Basel, Switzerland) · 2023Article
- Transcriptome analysis reveals key regulatory genes for root growth related to potassium utilization efficiency in rapeseed (Frontiers in plant science · 2023Article
- Genome-Wide Association Studies of Root-Related Traits inPlants (Basel, Switzerland) · 2022Article
- Integrating GWAS, linkage mapping and gene expression analyses reveal the genetic control of first branch height inFrontiers in plant science · 2022Article
- Genetic dissection of the natural variation of ovule number per ovary in oilseed rape germplasm (Frontiers 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
- Epigenetics and its role in effecting agronomical traits.Frontiers in plant science · 2022Review
- SNP- and Haplotype-Based GWAS of Flowering-Related Traits inPlants (Basel, Switzerland) · 2021Article
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Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background
resultsTo elucidate the genetic basis of growth period traits, genome-wide association analysis (GWAS) and linkage mapping were employed to detect the quantitative trait loci (QTL) for days to initial flowering (DIF), days to final flowering (DFF), flowering period (FP), maturity time (MT), and whole growth period (GP). A total of 146 SNPs were identified by association mapping, and 83 QTLs were identified by linkage mapping using the RIL population. Among these QTLs, 19 were pleiotropic SNPs related to multiple traits, and six (q18DFF.A03-2, q18MT.A03-2, q17DFF.A05-1, q18FP.C04, q17DIF.C05 and q17GP.C09) were consistently detected using both mapping methods. Additionally, we performed RNA sequencing to analyze the differential expression of gene (DEG) transcripts between early- and late-flowering lines selected from the RIL population, and the DEGs were integrated with association mapping and linkage analysis to confirm their roles in the growth period. Consequently, 12 candidate genes associated with growth period traits were identified in
conclusionsThe candidate genes identified in this study will contribute to our genetic understanding of growth period traits and can be used as targets for target mutations or marker-assisted breeding for rapeseed adapted to different environments.
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