Su Junji, Pang Chaoyou, Wei Hengling, Li Libei, Liang Bing, Wang Caixiang, Song Meizhen, Wang Hantao, Zhao Shuqi, Jia Xiaoyun, Mao Guangzhi, Huang Long, Geng Dandan, Wang Chengshe, Fan Shuli, Yu Shuxun
College of Agronomy, Northwest A&F University, Yangling, China.
State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China.
BMC Genomics. 2016 Aug 30;17(1):687. doi: 10.1186/s12864-016-2875-z.
Early maturity is one of the most important and complex agronomic traits in upland cotton (Gossypium hirsutum L). To dissect the genetic architecture of this agronomically important trait, a population consisting of 355 upland cotton germplasm accessions was genotyped using the specific-locus amplified fragment sequencing (SLAF-seq) approach, of which a subset of 185 lines representative of the diversity among the accessions was phenotypically characterized for six early maturity traits in four environments. A genome-wide association study (GWAS) was conducted using the generalized linear model (GLM) and mixed linear model (MLM).
A total of 81,675 SNPs in 355 upland cotton accessions were discovered using SLAF-seq and were subsequently used in GWAS. Thirteen significant associations between eight SNP loci and five early maturity traits were successfully identified using the GLM and MLM; two of the 13 associations were common between the models. By computing phenotypic effect values for the associations detected at each locus, 11 highly favorable SNP alleles were identified for five early maturity traits. Moreover, dosage pyramiding effects of the highly favorable SNP alleles and significant linear correlations between the numbers of highly favorable alleles and the phenotypic values of the target traits were identified. Most importantly, a major locus (rs13562854) on chromosome Dt3 and a potential candidate gene (CotAD_01947) for early maturity were detected.
This study identified highly favorable SNP alleles and candidate genes associated with early maturity traits in upland cotton. The results demonstrate that GWAS is a powerful tool for dissecting complex traits and identifying candidate genes. The highly favorable SNP alleles and candidate genes for early maturity traits identified in this study should be show high potential for improvement of early maturity in future cotton breeding programs.
早熟是陆地棉(Gossypium hirsutum L)最重要且最复杂的农艺性状之一。为了解析这一重要农艺性状的遗传结构,利用特异性位点扩增片段测序(SLAF-seq)方法对由355份陆地棉种质材料组成的群体进行了基因分型,其中185份代表种质材料多样性的品系在四个环境中对六个早熟性状进行了表型鉴定。使用广义线性模型(GLM)和混合线性模型(MLM)进行全基因组关联研究(GWAS)。
利用SLAF-seq在355份陆地棉种质材料中发现了总共81,675个单核苷酸多态性(SNP),随后用于GWAS。使用GLM和MLM成功鉴定出八个SNP位点与五个早熟性状之间的13个显著关联;其中13个关联中有两个在两个模型中是共同的。通过计算每个位点检测到的关联的表型效应值,为五个早熟性状鉴定出11个高度有利的SNP等位基因。此外,还鉴定出高度有利的SNP等位基因的剂量累加效应以及高度有利等位基因数量与目标性状表型值之间的显著线性相关性。最重要的是,在Dt3染色体上检测到一个主效位点(rs13562854)和一个早熟潜在候选基因(CotAD_01947)。
本研究鉴定出了与陆地棉早熟性状相关的高度有利的SNP等位基因和候选基因。结果表明,GWAS是解析复杂性状和鉴定候选基因的有力工具。本研究中鉴定出的早熟性状高度有利的SNP等位基因和候选基因在未来棉花育种计划中应具有提高早熟性的巨大潜力。