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Genome-wide association study and genomic selection of spike-related traits in bread wheat

文献类型： 外文期刊

作者： Xu, Huiyuan 1 ; Wang, Zixu 1 ; Wang, Faxiang 1 ; Hu, Xinrong 1 ; Ma, Chengxue 1 ; Jiang, Huijiao 1 ; Xie, Chang 1 ; Gao, Yuhang 1 ; Ding, Guangshuo 1 ; Zhao, Chunhua 1 ; Qin, Ran 1 ; Cui, Dezhou 2 ; Sun, Han 1 ; Cui, Fa 1 ; Wu, Yongzhen 1 ;

作者机构： 1.Ludong Univ, Abiot Resistant Plants Univ Shandong, Coll Agr, Key Lab Mol Module Based Breeding High Yield, Yantai, Shandong, Peoples R China

2.Shandong Acad Agr Sci, Shandong Technol Innovat Ctr Wheat,Crop Res Inst,M, Natl Engn Res Ctr Wheat & Maize,Key Lab Wheat Biol, Shandong Technol Innovat Ctr Wheat,Jinan Key Lab W, Jinan, Shandong, Peoples R China

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.4； 五年影响因子：5.7 ）

ISSN： 0040-5752

年卷期： 2024 年 137 卷 6 期

页码：

收录情况： SCI

摘要： Key messageIdentification of 337 stable MTAs for wheat spike-related traits improved model accuracy, and favorable alleles of MTA259 and MTA64 increased grain weight and yield per plant.AbstractWheat (Triticum aestivum L.) is one of the three primary global, staple crops. Improving spike-related traits in wheat is crucial for optimizing spike and plant morphology, ultimately leading to increased grain yield. Here, we performed a genome-wide association study using a dataset of 24,889 high-quality unique single-nucleotide polymorphisms (SNPs) and phenotypic data from 314 wheat accessions across eight diverse environments. In total, 337 stable and significant marker-trait associations (MTAs) related to spike-related traits were identified. MTA259 and MTA64 were consistently detected in seven and six environments, respectively. The presence of favorable alleles associated with MTA259 and MTA64 significantly reduced wheat spike exsertion length and spike length, while enhancing thousand kernel weight and yield per plant. Combined gene expression and network analyses identified TraesCS6D03G0692300 and TraesCS6D03G0692700 as candidate genes for MTA259 and TraesCS2D03G0111700 and TraesCS2D03G0112500 for MTA64. The identified MTAs significantly improved the prediction accuracy of each model compared with using all the SNPs, and the random forest model was optimal for genome selection. Additionally, the eight stable and major MTAs, including MTA259, MTA64, MTA66, MTA94, MTA110, MTA165, MTA180, and MTA164, were converted into cost-effective and efficient detection markers. This study provided valuable genetic resources and reliable molecular markers for wheat breeding programs.

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