High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat

查看全文 作　　者：Yunlong [1]Pang;Chunxia [1]Liu;Danfeng [1]Wang;Paul [2]St.Amand;Amy [2,3]Bernardo;Wenhui [1]Li;Fang [1,6]He;Linzhi [4]Li;Liming [5]Wang;Xiufang [1]Yuan;Lei [1]Dong;Yu [1]Su;Huirui [1]Zhang;Meng [1]Zhao;Yunlong [1]Liangi;Hongze [1]Jia;Xitong [1]Shen;Yue [1]Lu;Hongming [4]Jiang;Yuye [1]Wu;Anfei [1]Li;Honggang [1]Wang;Lingrang [1]Kong;Guihua [2]Bai;Shubing [1]Liu

机构地区：[1]State Key Laboratory of Crop Biology,College of Agronomy,Shandong Agricultural University,Tai'an 271018,China;[2]USDA-ARS,Hard Winter Wheat Genetics Research Unit,Manhattan,KS 66506,USA;[3]Department of Plant Pathology,Kansas State University,Manhattan,KS 66506,USA;[4]Yantai Academy of Agricultural Sciences,Yantai 265500,China;[5]College of Agriculture,Henan University of Science and Technology,Luoyang 471000,China;[6]College of Agriculture,Guizhou University,Guiyang 550025,China

出　　处：《Molecular Plant》索引2020年第13卷第9期,共17页

基　　金：supported by the National Key Research and Development Programs of China(2016YFD0101802,2016ZX08009003-001-006);the Shandong Province Agricultural Fine Seeds Project(2016LZGC023). 摘　　要：Wheat(Triticum aestivum)is a major staple food crop worldwide.Genetic dissection of important agronomic traits is essential for continuous improvement of wheat yield to meet the demand of the world's growing population.We conducted a large-scale genome-wide association study(GWAS)using a panel of 768 wheat cultivars that were genotyped with 327609 single-nucleotide polymorphisms generated by genotyping-by-sequencing and detected 395 quantitative trait loci(QTLs)for 12 traits under 7 environments.Among them,273 QTLs were delimited to≤1.0-Mb intervals and 7 of them are either known genes(Rht-D,Vrn-B1,and Vrn-D1)that have been cloned or known QTLs(TaGA2ox8,APO1,TaSus1-7B,and Rht12)that were previously mapped.Eight putative candidate genes were identified for three QTLs that enhance spike seed setting and grain size using gene expression data and were validated in three bi-parental populations.Protein sequence analysis identified 33 putative wheat orthologs that have high identity with rice genes in QTLs affecting similar traits.Large r^2 values for additive effects observed among the QTLs for most traits indicated that the phenotypes of these identified QTLs were highly predictable.Results from this study demonstrated that significantly increasing GWAS population size and marker density greatly improves detection and identification of candidate genes underlying a QTL,solidifying the foundation for large-scale QTL fine mapping,candidate gene validation,and developing functional markers for genomics-based breeding in wheat. 关键词：aestivum) WHEAT BREEDING

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High-Resolution Genome-wide Association Study Identifies Genomic Regions and Candidate Genes for Important Agronomic Traits in Wheat

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