ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023
Structural variations and environmental specificities of flowering time-related genes in Brassica napus.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Dissecting genetic architecture and improving machine learning‑based genomic prediction of flowering time in Osmanthus fragrans by integrating structural variants.The plant genome · 2026Article
- Unraveling the complexity of the oilseed rape genome: from sequencing to gene discovery for trait improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Identification of AhFPA1 as the causal gene underlying qEFT13.1, a key QTL for early flowering in peanut.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Deciphering the heterogeneous glucosinolates composition in leaves and seeds: strategies for developing Brassica napus genotypes with low seed glucosinolates content but high leaf glucosinolates content.Molecular horticulture · 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
- 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
- Integration of GWAS and transcriptome analysis to identify temperature-dependent genes involved in germination of rapeseed (Frontiers in plant science · 2025Article
- Genome-wide association study and transcriptome analysis reveal natural variation of key genes regulation flowering time in rapeseed.Molecular breeding : new strategies in plant improvement · 2024Article
- Genomic and transcriptome analyses reveal potential contributors to erucic acid biosynthesis in seeds of rapeseed (Brassica napus).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Horticulture research · 2023Article
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14 authors.
Funding
Abstract
key messageWe found that the flowering time order of accessions in a genetic population considerably varied across environments, and homolog copies of essential flowering time genes played different roles in different locations. Flowering time plays a critical role in determining the life cycle length, yield, and quality of a crop. However, the allelic polymorphism of flowering time-related genes (FTRGs) in Brassica napus, an important oil crop, remains unclear. Here, we provide high-resolution graphics of FTRGs in B. napus on a pangenome-wide scale based on single nucleotide polymorphism (SNP) and structural variation (SV) analyses. A total of 1337 FTRGs in B. napus were identified by aligning their coding sequences with Arabidopsis orthologs. Overall, 46.07% of FTRGs were core genes and 53.93% were variable genes. Moreover, 1.94%, 0.74%, and 4.49% FTRGs had significant presence-frequency differences (PFDs) between the spring and semi-winter, spring and winter, and winter and semi-winter ecotypes, respectively. SNPs and SVs across 1626 accessions of 39 FTRGs underlying numerous published qualitative trait loci were analyzed. Additionally, to identify FTRGs specific to an eco-condition, genome-wide association studies (GWASs) based on SNP, presence/absence variation (PAV), and SV were performed after growing and observing the flowering time order (FTO) of plants in a collection of 292 accessions at three locations in two successive years. It was discovered that the FTO of plants in a genetic population changed a lot across various environments, and homolog copies of some key FTRGs played different roles in different locations. This study revealed the molecular basis of the genotype-by-environment (G × E) effect on flowering and recommended a pool of candidate genes specific to locations for breeding selection.
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