全基因组关联分析在小麦育种研究中的应用  

Application of genome-wide association studies in wheat breeding

作　　者：李鹏程 汪军成[1,2] 姚立蓉 司二静[1,2] 杨轲[1,2] 孟亚雄[1,2] 马小乐[1,2] 李葆春[1,3] 尚勋武[2] 王化俊[1,2] LI Pengcheng;WANG Juncheng;YAO Lirong;SI Erjing;YANG Ke;MENG Yaxiong;MA Xiaole;LI Baochun;SHANG Xunwu;WANG Huajun(State Key Laboratory of Aridland Crop Science/Gansu Provincial Key Laboratory of Crop Improvement&Germplasm Enhancement,Lanzhou 730070,China;College of Agronomy,Gansu Agricultural University,Lanzhou 730070,China;College of Life Sciences and Technology,Gansu Agricultural University,Lanzhou 730070,China)

机构地区：[1]省部共建干旱生境作物学国家重点实验室/甘肃省作物遗传改良与种质创新重点实验室,兰州730070 [2]甘肃农业大学农学院,兰州730070 [3]甘肃农业大学生命科学技术学院,兰州730070

出　　处：《植物生理学报》2023年第3期465-480,共16页Plant Physiology Journal

基　　金：国家现代农业产业技术体系项目(CARS-05-04B-2);甘肃省教育厅产业支撑计划项目(2021CYZC-12);国家自然科学基金项目(31860377);甘肃农业大学伏羲青年英才计划(Ganfx-03Y06);甘肃省科技支撑计划项目(1604NKCA052-2);2023年甘肃省级重点人才项目;甘肃省农业科技支撑项目(KJZC-2023-2);甘肃省优秀研究生“创新之星”项目(2022CXZXB-028);甘肃省科技重大专项(17ZD2NA016)。

摘　　要：全基因组关联分析(GWAS)是高效检测不同物种复杂性状的遗传变异,寻找与之相关联标记或基因的一种分析方法,在小麦(Triticum aestivum)育种中应用广泛。本文阐述了关联分析群体选择、基因型分型、高通量表型鉴定和GWAS统计模型四个方面,查阅近10年来小麦GWAS相关研究的中英文文献,从农艺性状、品质性状、生物和非生物胁迫等研究方面进行归纳叙述。讨论并展望GWAS存在的问题以及未来在小麦育种领域的应用前景,以期为进一步利用GWAS进行小麦遗传改良研究提供依据。Genome-wide association studies(GWAS)is an analytical method widely used in wheat(Triticum aestivum)breeding for detecting genome-wide genetic variation in complex traits across species and finding associated markers or genes.The paper describes population selection for association analysis,genotyping,high-throughput phenotyping,and statistical models,as well as a review of Chinese and English references on GWAS-related studies in wheat conducted over the last decade years to summarize and describe the studies in terms of agronomic,quality,and biotic and abiotic stress-related traits.Here,existing GWAS problems and potential applications in wheat breeding were discussed and prospected in order to provide a foundation and reference for future research on wheat genetic improvement using GWAS.

关 键 词：全基因组关联分析 基因型分型 高通量表型 统计模型 小麦育种 

分 类 号：S512.1[农业科学—作物学]