Performing whole-genome association analysis of winter wheat plant height using the 55K chip
文献类型： 外文期刊
作者： Ding, Yindeng 1 ; Fan, Guiqiang 1 ; Gao, Yonghong 1 ; Huang, Tianrong 1 ; Zhou, Anding 1 ; Yu, Shan 2 ; Zhao, Lianjia 3 ; Shi, Xiaolei 3 ; Ding, Sunlei 3 ; Hao, Jiahao 4 ; Wang, Wei 4 ; Song, Jikun 5 ; Sun, Na 6 ; Fang, Hui 1 ;
作者机构： 1.Xinjiang Acad Agr Sci, Inst Grain Crops, Urumqi, Xinjiang, Peoples R China
2.Xinjiang Agr Univ, Coll Agr, Urumqi, Xinjiang, Peoples R China
3.Xinjiang Acad Agr Sci, Inst Crop Variety Resources, 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
6.Yili Prefecture Inst Agr Sci, Yili Prefecture Key Lab Crop Breeding & Qual Detec, Yining, Peoples R China
关键词： winter wheat; plant height; 55K SNP array; GWAS; candidate genes
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：4.8； 五年影响因子：5.7 ）
ISSN： 1664-462X
年卷期： 2025 年 15 卷
页码：
收录情况： SCI
摘要： Plant height is a critical agronomic that affects both plant architecture and yield. To decipher the genetic mechanisms underlying winter wheat plant height and identify candidate genes associated with this trait, we conducted phenotypic analysis on 239 wheat varieties (lines) collected from around the world. This analysis was complemented by genotyping using the wheat 55K SNP chip. A Wholegenome association analysis (GWAS) of wheat plant height was conducted utilizing the MLM (Q+K) model within TASSLE software. The results revealed significant phenotypic variation in wheat plant height across different years, with coefficients of variation ranging from 0.96% to 1.97%. Additionally, there was a strong correlation in plant height measurements between different years. GWAS identified 44 SNP markers significantly associated with wheat plant height across various environments (P <= 0.00001), predominantly distributed on chromosomes 1B, 1D, 2A, 2B, 2D, 3B, 3D, 4A, 4B, 6B, 6D, and 7D, explaining individual phenotypic variance rates ranging from 5.00% to 11.11%. Further, by mining association loci with substantial phenotypic effects and stability across multiple environments, seven candidate genes related to wheat plant height have been identified. This study provides new genetic markers and resources for improving wheat plant height.
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