敬告作者朋友
最近我们发现,有一些假冒本刊在线投稿系统的网站,采用与《麦类作物学报》相似的网页、网址和邮箱发送征稿通知以及收取审稿费、版面费的信息,以骗取钱财。详细情况见【通知公告】栏的“再次提醒作者朋友:谨防上当受骗!!!”

关闭
席甜甜,吴 倩,杨建光,马 新,陈彦竹,李 煜,王军卫,马守才.337份小麦品种籽粒相关性状的全基因组关联分析[J].麦类作物学报,2024,(5):547
337份小麦品种籽粒相关性状的全基因组关联分析
Genome-Wide Association Studies of 337 Wheat Varieties for Grain-Related Traits
  
DOI:
中文关键词:  小麦  全基因组关联分析  籽粒性状  SNP  候选基因
英文关键词:Wheat  Genome-wide association studies  Grain traits  SNP  Candidate genes
基金项目:陕西省重点研发计划项目(2023-YBNY-024;2023-YBNY-021);陕西省作物杂种优势研究与利用重点实验室后补助项目(2018SZS-22);西安市科技计划项目(23NYGG0021);“两链”融合专项“小麦种业创新工程项目”(K3031222158)
作者单位
席甜甜,吴 倩,杨建光,马 新,陈彦竹,李 煜,王军卫,马守才 (西北农林科技大学农学院/小麦育种教育部工程研究中心/陕西省作物杂种优势研究与利用重点实验室陕西杨凌 712100) 
摘要点击次数: 232
全文下载次数: 157
中文摘要:
      小麦籽粒大小和形态是决定产量的主要因素之一,挖掘籽粒相关性状的关联位点,筛选相关候选基因为提高小麦产量奠定了重要基础。本研究以337份小麦品种作为研究对象,利用Q+K混合线性模型(MLM)在3个环境(E1:2020年陕西杨凌;E2:2020年陕西斗口;E3:2021年陕西杨凌)下对小麦的千粒重、粒长、粒宽以及籽粒长宽比4个性状进行了全基因组关联分析(GWAS)。在3种环境中,不同小麦品种的4个籽粒性状都表现出了广泛的表型差异,变异系数为5.31%~14.76%,其中粒长的变异幅度最小,千粒重的变异幅度最大。GWAS结果表明,49个显著SNP位点至少在2个环境中被检测到,分布在除1B、4A和7D外的染色体上,解释了3.36%~12.73%的表型变异。检测到一因多效位点31个,在5A染色体上检测到3个环境下与3个籽粒性状(千粒重、粒长、粒宽)稳定相关的位点,表型贡献率为3.51%~7.74%。对稳定关联的SNP位点上下游各200 kb的物理区间内进行候选基因挖掘,筛选到5个(TraesCS2B01G225400、TraesCS4D01G016900、TraesCS5A01G454100、TraesCS5B01G459500、TraesCS6B01G064000)可能与小麦籽粒性状相关的基因,分布在2B、4D、5A、5B和6B染色体上。
英文摘要:
      Wheat grain size and morphology are the main factors determining yield, and exploring the genetic loci associated with grain-related traits and screening related candidate genes will lay an important foundation for improving wheat yield. In this study, 337 wheat varieties were used as materials to perform genome-wide association studies (GWAS) of four grain traits of wheat, using a Q+K mixed linear model (MLM) in three different environments (E1: Yangling, Shaanxi Province, 2020; E2: Doukou, Shaanxi in 2020; E3: Yangling, Shaanxi Province in 2021), including 1 000-grain weight, grain length, grain width, and grain length to width ratio. In the three environments, the four grain traits of different wheat varieties showed extensive phenotypic differences, with coefficients of variation ranging from 5.31% to 14.76%. Among them, the variation range of grain length was the smallest, and the variation range of 1000-grain weight was the largest. The GWAS results showed that 49 significant SNP loci were detected in at least 2 environments, distributed on chromosomes except for 1B, 4A and 7D, explaining phenotypic variations ranging from 3.36% to 12.73%. Thirty-one pleiotropism loci were detected, three of which on chromosome 5A stably associated with three grain traits (1000-grain weight, grain length, and grain width) in the three environments, with phenotypic contributions ranging from 3.51% to 7.74%.Candidate genes were explored within a physical interval of 200 kb upstream and downstream of the stably associated SNP loci, and five genes(TraesCS2B01G225400, TraesCS4D01G016900, TraesCS5A01G454100, TraesCS5B01G459-500, and TraesCS6B01G064000) were screened as potentially related to wheat grain traits on chromosomes 2B, 4D, 5A, 5B, and 6B.
查看全文  查看/发表评论  下载PDF阅读器
关闭

您是第20537084位访问者
版权所有麦类作物学报编辑部
京ICP备09084417号
技术支持: 本系统由北京勤云科技发展有限公司设计