大豆荚粒数相关QTL的Meta和Overview分析及其候选基因预测
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  • 英文篇名:Meta and Overview Analysis of QTL Associated with Pod and Seed Traits and Candidate Gene Mining in Soybean(Glycine max)
  • 作者:李莹莹 ; 李瑞超 ; 程春光 ; 赵圆圆 ; 刘春燕 ; 齐照明 ; 李灿东 ; 王囡囡 ; 蒋洪蔚 ; 陈庆山
  • 英文作者:LI Ying-Ying;LI Rui-Chao;CHENG Chun-Guang;ZHAO Yuan-Yuan;LIU Chun-Yan;QI Zhao-Ming;LI Can-Dong;WANG Nan-Nan;JIANG Hong-Wei;CHEN Qing-Shan;Soybean Research Institute, College of Agriculture, Northeast Agricultural University/Chinese Education ministry's Northeast Key Laboratory of Soybean Biology/Agricultural Ministry's Area Key Laboratory of Soybean Biology and Genetic Breeding;Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences;
  • 关键词:大豆 ; 荚粒性状 ; Meta分析 ; Overview分析 ; 候选基因
  • 英文关键词:oybean;;Seed and pod traits;;Meta-analysis;;Overview analysis;;Candidate gene
  • 中文刊名:NYSB
  • 英文刊名:Journal of Agricultural Biotechnology
  • 机构:东北农业大学农学院大豆研究所/教育部大豆生物学重点实验室/农业部东北大豆生物学与遗传育种重点实验室;黑龙江省农业科学院佳木斯分院;
  • 出版日期:2018-11-25
  • 出版单位:农业生物技术学报
  • 年:2018
  • 期:v.26
  • 基金:黑龙江省自然科学基金(No.C2018017);; 国家自然科学基金(No.31771882);; 黑龙江省本科院校青年创新人才培养计划(No.UNPYSCT-2016144)
  • 语种:中文;
  • 页:NYSB201811002
  • 页数:13
  • CN:11
  • ISSN:11-3342/S
  • 分类号:5-17
摘要
荚粒性状与大豆(Glycine max)产量密切相关。本研究利用完备区间作图法(inclusive composite interval mapping, ICIM)对两年的重组自交系(recombinant inbred line, RIL)群体数据进行分析,获得7个与荚粒性状相关的数量性状基因座(quantitative trait loci, QTL),并搜集了国内外已报道的154个荚粒性状相关QTLs。利用元分析(Meta-analysis)方法得到23个Meta-QTL区间,利用基于统计学原理的Overview方法对这些QTL区间进行优化。经Overview分析,获得13个有效的QTL区间,5个QTL区间被缩小到0.5 Mb。对Meta-QTL区间进行基因注释,获得687个基因,筛选11个基因作为候选基因。11个候选基因参与植物生长发育、果实成熟等过程。本研究建立的实验方法及研究结果,对于大豆荚粒性状QTL定位及分子辅助育种提供了基础资料。
        Seed and pod traits are closely related to seed yield of soybean(Glycine max). The present study used the interval complete interval mapping method(ICIM) to analyze the recombinant inbred line(RIL) population phenotypic data across two-year, and obtained 7 quantitative trait loci(QTL) related to the seed and pod traits.154 original QTLs related to seed and pod trait of soybean from database and references were analyzed. 23 MetaQTL intervals were obtained by Meta-analysis. Moreover, the Overview method was used to optimize these QTLs based on statistical analysis. After the Overview analysis, 13 valid QTL regions were obtained, and 5 QTL regions were narrowed down to 0.5 Mb. Furthermore, genetic annotation for the Meta-QTL interval and 687 genes were obtained, and 11 genes were selected as candidate genes. 11 candidate genes participated in the process of plant growth and fruit maturation. The experimental method of this study and results are important for QTL mapping associated with seed and pod traits and assisted molecular breeding of soybeans.
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