Genome-wide association study reveals structural chromosome variations with phenotypic effects in wheat (Triticum aestivum L.)

被引:15
|
作者
Zhao, Jiajia [1 ,2 ]
Zheng, Xingwei [1 ]
Qiao, Ling [1 ]
Yang, Chenkang [1 ]
Wu, Bangbang [1 ]
He, Ziming [2 ]
Tang, Yuqing [2 ]
Li, Guangrong [3 ]
Yang, Zujun [3 ]
Zheng, Jun [1 ]
Qi, Zengjun [2 ]
机构
[1] Shanxi Agr Univ, Inst Wheat Res, State Key Lab Sustainable Dryland Agr, Linfen 041000, Peoples R China
[2] Nanjing Agr Univ, Natl Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Peoples R China
[3] Univ Elect & Technol China, Ctr Informat Biol, Sch Life Sci & Technol, Chengdu 611731, Peoples R China
关键词
wheat; structural chromosome variations; fluorescence in situ hybridization; genome wide association study; phenotypic effects; COPY NUMBER VARIATION; REARRANGEMENTS; GENE; WILD; DOMESTICATION; RESISTANCE; TOLERANCE; INVERSION; SELECTION; VARIANT;
D O I
10.1111/tpj.16023
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Structural chromosome variations (SCVs) are large-scale genomic variations that can be detected by fluorescence in situ hybridization (FISH). SCVs have played important roles in the genome evolution of wheat (Triticum aestivum L.), but little is known about their genetic effects. In this study, a total of 543 wheat accessions from the Chinese wheat mini-core collection and the Shanxi Province wheat collection were used for chromosome analysis using oligonucleotide probe multiplex FISH. A total of 139 SCVs including translocations, pericentric inversions, presence/absence variations (PAVs), and copy number variations (CNVs) in heterochromatin were identified at 230 loci. The distribution frequency of SCVs varied between ecological regions and between landraces and modern cultivars. Structural analysis using SCVs as markers clearly divided the landraces and modern cultivars into different groups. There are very clear instances illustrating alien introgression and wide application of foreign germplasms improved the chromosome diversity of Chinese modern wheat cultivars. A genome-wide association study (GWAS) identified 29 SCVs associated with 12 phenotypic traits, and five (RT4AS center dot 4AL-1DS/1DL center dot 1DS-4AL, Mg2A-3, Mr3B-10, Mr7B-13, and Mr4A-7) of them were further validated using a doubled haploid population and advanced sib-lines, implying the potential value of these SCVs. Importantly, the number of favored SCVs that were associated with agronomic trait improvement was significantly higher in modern cultivars compared to landraces, indicating positive selection in wheat breeding. This study demonstrates the significant effects of SCVs during wheat breeding and provides an efficient method of mining favored SCVs in wheat and other crops.
引用
收藏
页码:1447 / 1461
页数:15
相关论文
共 50 条
  • [41] Genome-wide identification and expression analysis of the TaRRA gene family in wheat (Triticum aestivum L.)
    Sun, Lijing
    Lv, Liangjie
    Zhao, Jie
    Hu, Mengyun
    Zhang, Yelun
    Zhao, Yun
    Tang, Xiaodong
    Wang, Peinan
    Li, Qianying
    Chen, Xiyong
    Li, Hui
    Zhang, Yingjun
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [42] Genome-Wide Identification and Characterization of the Cystatin Gene Family in Bread Wheat (Triticum aestivum L.)
    He, Long
    Chen, Xuan
    Xu, Miaoze
    Liu, Tingting
    Zhang, Tianye
    Li, Juan
    Yang, Jian
    Chen, Jianping
    Zhong, Kaili
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (19)
  • [43] Genome-wide linkage mapping of Fusarium crown rot in common wheat (Triticum aestivum L.)
    Li, Faji
    Guo, Can
    Zhao, Qi
    Wen, Weie
    Zhai, Shengnan
    Cao, Xinyou
    Liu, Cheng
    Cheng, Dungong
    Guo, Jun
    Zi, Yan
    Liu, Aifeng
    Song, Jianmin
    Liu, Jianjun
    Liu, Jindong
    Li, Haosheng
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [44] Identification of structural variations related to drought tolerance in wheat (Triticum aestivum L.)
    Zhao, Jiajia
    Li, Xiaohua
    Qiao, Ling
    Zheng, Xingwei
    Wu, Bangbang
    Guo, Meijun
    Feng, Meichen
    Qi, Zengjun
    Yang, Wude
    Zheng, Jun
    THEORETICAL AND APPLIED GENETICS, 2023, 136 (03)
  • [45] Genome-wide identification and expression analysis of the GSK gene family in wheat (Triticum aestivum L.)
    Peipei Zhang
    Linghui Zhang
    Tao Chen
    Fanli Jing
    Yuan Liu
    Jingfu Ma
    Tian Tian
    Delong Yang
    Molecular Biology Reports, 2022, 49 : 2899 - 2913
  • [46] Development of Genome-Wide Unique Indel Markers for a Heat-Sensitive Genotype in Wheat (Triticum aestivum L.)
    Zhai, Huijie
    Xu, Kunpeng
    Wang, Meng
    Wang, Zhenchuang
    Cai, Ziyang
    Li, Ao
    He, Anxin
    Xie, Xiaoming
    Chai, Lingling
    Liu, Mingjiu
    Ou, Xingqi
    Ni, Zhongfu
    AGRONOMY-BASEL, 2025, 15 (01):
  • [47] Genome-Wide Association of Stem Carbohydrate Accumulation and Remobilization during Grain Growth in Bread Wheat (Triticum aestivum L.) in Mediterranean Environments
    Guerra, Fernando P.
    Yanez, Alejandra
    Matus, Ivan
    del Pozo, Alejandro
    PLANTS-BASEL, 2021, 10 (03): : 1 - 16
  • [48] New insights into molecular features of the genome-wide AOX family and their responses to various stresses in common wheat (Triticum aestivum L.)
    Zhang, Shengli
    Yan, Cuiping
    Lu, Tairui
    Fan, Yuchao
    Ren, Yueming
    Zhao, Jishun
    Shan, Xiaojing
    Guan, Yuanyuan
    Song, Puwen
    Li, Dongfang
    Hu, Haiyan
    GENE, 2023, 888
  • [49] Genome-wide association study (GWAS) uncovers candidate genes linked to the germination performance of bread wheat (Triticum aestivum L.) under salt stress
    Javid, Saeideh
    Bihamta, Mohammad Reza
    Omidi, Mansour
    Abbasi, Ali Reza
    Alipour, Hadi
    Ingvarsson, Par K.
    Poczai, Peter
    BMC GENOMICS, 2025, 26 (01):
  • [50] Genome-wide identification and expression analysis of calmodulin and calmodulin-like genes in wheat (Triticum aestivum L.)
    Liu, Yongwei
    Chen, Wenye
    Liu, Linbin
    Su, Yuhuan
    Li, Yuan
    Jia, Weizhe
    Jiao, Bo
    Wang, Jiao
    Yang, Fan
    Dong, Fushuang
    Chai, Jianfang
    Zhao, He
    Lv, Mengyu
    Li, Yanyi
    Zhou, Shuo
    PLANT SIGNALING & BEHAVIOR, 2022, 17 (01)