ArticlePLoS genetics2010
Linkage and association mapping of Arabidopsis thaliana flowering time in nature.
Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 3 of them syntheses that pooled it.
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Who cites it
216 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Combination of meta-analysis of QTL and GWAS to uncover the genetic architecture of seed yield and seed yield components in common bean.The plant genome · 2023Pooled it
- A genome-wide association study identifies variants underlying the Arabidopsis thaliana shade avoidance response.PLoS genetics · 2012Pooled it
- Polymorphisms for Defence and Virulence in theViruses · 2026Article
- Does genetic variation in controlled experiments predict phenology of wild plants?Journal of evolutionary biology · 2026Article
- Does genetic variation in controlled experiments predict phenology of wild plants?bioRxiv : the preprint server for biology · 2025Article
- Predicting fitness in future climates: insights from temporally replicated field experiments inEvolution letters · 2025Article
- Is My Stress Out of Place? Bread Wheat Response to Saline Stress Varies in Pattern and Extent Across Experimental Settings.Plant direct · 2025Article
- Advancing ecological and evolutionary research in Arabidopsis: Extending insights into model and nonmodel plants.The Plant cell · 2025Review
- Species-wide gene editing of a flowering regulator reveals hidden phenotypic variation.PLoS biology · 2025Article
- RcSRR1 interferes with the RcCSN5B-mediated deneddylation of RcCRL4 to modulate RcCO proteolysis and prevent rose flowering under red light.Horticulture research · 2025Article
- Genome-specific association study (GSAS) for exploration of variability in hemp (Cannabis sativa).Scientific reports · 2025Article
- All roads lead to Rome: QTL analysis for vernalization requirement and dissection of allelic variation uncovered unexpected diversity ofFrontiers in plant science · 2025Article
- Genetic dissection of yield and yield-related traits in mungbean based on QTL meta-analysis.Frontiers in genetics · 2025Article
- The haplotype-phased genome assembly facilitated the deciphering of the bud dormancy-related QTLs in Prunus mume.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024Article
- Dual-trait genomic analysis in highly stratified Arabidopsis thaliana populations using genome-wide association summary statistics.Heredity · 2024Article
- Polygenic architecture of flowering time and its relationship with local environments in the grass Brachypodium distachyon.Genetics · 2024Article
- Flowering time: From physiology, through genetics to mechanism.Plant physiology · 2024Review
- Article
- A Genome-Wide Analysis of the CEP Gene Family in Cotton and a Functional Study ofInternational journal of molecular sciences · 2024Article
156 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
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Abstract
Flowering time is a key life-history trait in the plant life cycle. Most studies to unravel the genetics of flowering time in Arabidopsis thaliana have been performed under greenhouse conditions. Here, we describe a study about the genetics of flowering time that differs from previous studies in two important ways: first, we measure flowering time in a more complex and ecologically realistic environment; and, second, we combine the advantages of genome-wide association (GWA) and traditional linkage (QTL) mapping. Our experiments involved phenotyping nearly 20,000 plants over 2 winters under field conditions, including 184 worldwide natural accessions genotyped for 216,509 SNPs and 4,366 RILs derived from 13 independent crosses chosen to maximize genetic and phenotypic diversity. Based on a photothermal time model, the flowering time variation scored in our field experiment was poorly correlated with the flowering time variation previously obtained under greenhouse conditions, reinforcing previous demonstrations of the importance of genotype by environment interactions in A. thaliana and the need to study adaptive variation under natural conditions. The use of 4,366 RILs provides great power for dissecting the genetic architecture of flowering time in A. thaliana under our specific field conditions. We describe more than 60 additive QTLs, all with relatively small to medium effects and organized in 5 major clusters. We show that QTL mapping increases our power to distinguish true from false associations in GWA mapping. QTL mapping also permits the identification of false negatives, that is, causative SNPs that are lost when applying GWA methods that control for population structure. Major genes underpinning flowering time in the greenhouse were not associated with flowering time in this study. Instead, we found a prevalence of genes involved in the regulation of the plant circadian clock. Furthermore, we identified new genomic regions lacking obvious candidate genes.
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