ArticleFrontiers in plant science2023
Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 12 citations in OpenAlex.
- Genetic dissection of cold stress tolerance and yield potential under cold stress in nested synthetic wheat (Triticum aestivum L.) introgression libraries using multi-locus genome-wide association and haplotype analysis.Functional & integrative genomics · 2026Article
- Genome-wide association mapping, phylogenetic study, and multivariate analysis of component traits of grain yield in wheat under heat stress conditions.Plant molecular biology · 2026Article
- Integrative GWAS and transcriptomic analyses identify candidate genes associated with oil content and fatty acid composition in safflower.BMC plant biology · 2026Article
- Unraveling the genetic basis of heat tolerance and yield in bread wheat: QTN discovery and Its KASP-assisted validation.BMC plant biology · 2025Article
- Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions.Frontiers in plant science · 2025Article
- Genome-wide association analysis of wheat stem traits using 55K microarrays.Frontiers in plant science · 2025Article
- Deciphering the genetic basis of novel traits that discriminate useful and non-useful biomass to enhance harvest index in wheat.The plant genome · 2024Article
- Quantitative Trait Loci Mapping of Heading Date in Wheat under Phosphorus Stress Conditions.Genes · 2024Article
- Performing whole-genome association analysis of winter wheat plant height using the 55K chip.Frontiers in plant science · 2024Article
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the genetic mechanisms underlying the reproductive traits (time to flowering and maturity) in wheat and identify candidate genes associated, a phenotypic analysis was conducted on 239 wheat accessions (lines) from around the world. A genome-wide association study (GWAS) of wheat heading and maturity phases was performed using the MLM (Q+K) model in the TASSLE software, combined with the Wheat 55K SNP array. The results revealed significant phenotypic variation in heading and maturity among the wheat accessions across different years, with coefficients of variation ranging from 0.96% to 1.97%. The phenotypic data from different years exhibited excellent correlation, with a genome-wide linkage disequilibrium (LD) attenuation distance of 3 Mb. Population structure analysis, evolutionary tree analysis, and principal component analysis indicated that the 239 wheat accessions formed a relatively homogeneous natural population, which could be divided into three subgroups. The GWAS results identified a total of 293 SNP marker loci that were significantly associated with wheat heading and maturity stages (P ≤ 0.001) in different environments. Among them, nine stable SNP marker loci were consistently detected in multiple environments. These marker loci were distributed on wheat chromosomes 1A、1B、2D、3A、5B、6D and 7A. Each individual locus explained 4.03%-16.06% of the phenotypic variation. Furthermore, through careful analysis of the associated loci with large phenotypic effect values and stable inheritance, a total of nine candidate genes related to wheat heading and maturity stages were identified. These findings have implications for molecular marker-assisted selection breeding programs targeting specific wheat traits at the heading and maturity stages. In summary, this study conducted a comprehensive GWAS of wheat heading and maturity phases, revealing significant associations between genetic markers and key developmental stages in wheat. The identification of candidate genes and marker loci provides valuable information for further studies on wheat breeding and genetic improvement targeted at enhancing heading and maturity traits.
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