Arid
DOI10.1007/s00122-023-04522-8
Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS
Dai, Keli; Wang, Xin; Liu, Hanxiao; Qiao, Pengfei; Wang, Jiaxue; Shi, Weiping; Guo, Jie; Diao, Xianmin
通讯作者Shi, WP ; Guo, J
来源期刊THEORETICAL AND APPLIED GENETICS
ISSN0040-5752
EISSN1432-2242
出版年2024
卷号137期号:1
英文摘要Foxtail millet (Setaria italica), the second most cultivated millet crop after pearl millet, is an important grain crop in arid regions. Seven agronomic traits of 408 diverse foxtail millet accessions from 15 provinces in China were evaluated in three environments. They were clustered into two divergent groups based on genotypic data using ADMIXTURE, which was highly consistent with their geographical distribution. Two models for genome-wide association studies (GWAS), namely restricted two-stage multi-locus multi-allele (RTM)-GWAS and mixed linear model (MLM)-GWAS, were used to dissect the genetic architecture of the agronomic traits based on 13,723 SNPs. Eleven quantitative trait loci (QTLs) for seven traits were identified using two models (RTM- and MLM-GWAS). Among them, five were considered stable QTLs that were identified in at least two environments using MLM-GWAS. One putative candidate gene (SETIT_006045mg, Chr4: 744,701-746,852) that can enhance grain weight per panicle was identified based on homologous gene comparison and gene expression analysis and was validated by haplotype analysis of 330 accessions with high-depth (10x) resequencing data (unpublished). In addition, homologous gene comparison and haplotype analysis identified one putative foxtail millet ortholog (SETIT_032906mg, Chr2: 5,020,600-5,029,771) with rice affecting the target traits. Two markers (cGWP6045 and kTGW2906) were developed and validated and can be used for marker-assisted selection of foxtail millet with high grain weight. The results provide a fundamental resource for foxtail millet genetic research and breeding and demonstrate the power of integrating RTM- and MLM-GWAS approaches as a complementary strategy for investigating complex traits in foxtail millet.
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:001141521600001
WOS关键词GENOME-WIDE ASSOCIATION ; GERMPLASM POPULATION ; ALLELE SYSTEM ; RICE ; DESIGN ; GENES ; SIZE ; MAP
WOS类目Agronomy ; Plant Sciences ; Genetics & Heredity ; Horticulture
WOS研究方向Agriculture ; Plant Sciences ; Genetics & Heredity
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/405803
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GB/T 7714
Dai, Keli,Wang, Xin,Liu, Hanxiao,et al. Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS[J],2024,137(1).
APA Dai, Keli.,Wang, Xin.,Liu, Hanxiao.,Qiao, Pengfei.,Wang, Jiaxue.,...&Diao, Xianmin.(2024).Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS.THEORETICAL AND APPLIED GENETICS,137(1).
MLA Dai, Keli,et al."Efficient identification of QTL for agronomic traits in foxtail millet (Setaria italica) using RTM- and MLM-GWAS".THEORETICAL AND APPLIED GENETICS 137.1(2024).
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