ArticleBMC genomics2019
Joint QTL mapping and transcriptome sequencing analysis reveal candidate flowering time genes in Brassica napus L.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Exploring the multifaceted dynamics of flowering time regulation in field crops: Insight and intervention approaches.The plant genome · 2025Review
- Elucidation of the genetic basis of variation in flowering time in Brassica napus via genome-wide association studies and gene coexpression analysis.BMC plant biology · 2025Article
- Genetic dissection of flowering time and fine mapping of qFT.A02-1 in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Molecular mapping of candidate genes in determining red color of perilla leaf.Advanced biotechnology · 2025Article
- Molecular mechanisms of flowering time differentiation revealed by transcriptomic sequencing and de novo analysis in Chinese invasive populations of Ambrosia artemisiifolia.BMC plant biology · 2024Article
- Genome-Wide Identification of B-Box Family Genes and Their Potential Roles in Seed Development under Shading Conditions in Rapeseed.Plants (Basel, Switzerland) · 2024Article
- Transcriptome Analysis Reveals Key Genes and Pathways Associated with the Regulation of Flowering Time in Cabbage (Plants (Basel, Switzerland) · 2023Article
- Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Review
- Transgressive and parental dominant gene expression and cytosine methylation during seed development in Brassica napus hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Transcriptome profiling at the transition to the reproductive stage uncovers stage and tissue-specific genes in wheat.BMC plant biology · 2023Article
- Promoter cloning and activities analysis ofFrontiers in plant science · 2023Article
- Functional verification of thePeerJ · 2023Article
- Mapping of Two Major QTLs Controlling Flowering Time inPlants (Basel, Switzerland) · 2022Article
- COMPILE: a GWAS computational pipeline for gene discovery in complex genomes.BMC plant biology · 2022Article
- Characterization of the genetic and regulatory networks associated with sugar and acid metabolism in applesFrontiers 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
- Integrate QTL Mapping and Transcription Profiles Reveal Candidate Genes Regulating Flowering Time inFrontiers in plant science · 2022Article
- Development ofFrontiers in genetics · 2022Article
- Comparative transcriptome analysis of fiber and nonfiber tissues to identify the genes preferentially expressed in fiber development in Gossypium hirsutum.Scientific reports · 2021Article
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11 authors.
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Abstract
backgroundOptimum flowering time is a key agronomic trait in Brassica napus. To investigate the genetic architecture and genetic regulation of flowering time in this important crop, we conducted quantitative trait loci (QTL) analysis of flowering time in a recombinant inbred line (RIL) population, including lines with extreme differences in flowering time, in six environments, along with RNA-Seq analysis.
resultsWe detected 27 QTLs distributed on eight chromosomes among six environments, including one major QTL on chromosome C02 that explained 11-25% of the phenotypic variation and was stably detected in all six environments. RNA-Seq analysis revealed 105 flowering time-related differentially expressed genes (DEGs) that play roles in the circadian clock/photoperiod, autonomous pathway, and hormone and vernalization pathways. We focused on DEGs related to the regulation of flowering time, especially DEGs in QTL regions.
conclusionsWe identified 45 flowering time-related genes in these QTL regions, eight of which are DEGs, including key flowering time genes PSEUDO RESPONSE REGULATOR 7 (PRR7) and FY (located in a major QTL region on C02). These findings provide insights into the genetic architecture of flowering time in B. napus.
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