Genome-wide association analysis of time to heading and maturity in bread wheat using 55K microarrays
文献类型： 外文期刊
作者： Ding, Yindeng 1 ; Fang, Hui 1 ; Gao, Yonghong 1 ; Fan, Guiqiang 1 ; Shi, Xiaolei 2 ; Yu, Shan 3 ; Ding, Sunlei 2 ; Huang, Tianrong 1 ; Wang, Wei 4 ; Song, Jikun 5 ;
作者机构： 1.Xinjiang Acad Agr Sci, Inst Grain Crops, Urumqi 830091, Xinjiang, Peoples R China
2.Xinjiang Acad Agr Sci, Inst Crop Variety Resources, Urumqi, Xinjiang, Peoples R China
3.Xinjiang Agr Univ, Coll Agr, Urumqi, Xinjiang, Peoples R China
4.Anyang Inst Technol, Dept Comp Sci & Informat Engn, Anyang, Peoples R China
5.Chinese Acad Agr Sci, Cotton Res Inst, Anyang, Peoples R China
关键词： wheat; heading; maturity; GWAS; candidate genes
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.6； 五年影响因子：6.8 ）
ISSN： 1664-462X
年卷期： 2023 年 14 卷
页码：
收录情况： SCI
摘要： 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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