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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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。

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	作者相关文章
	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

关键词 ：大豆, 荚粒性状, Meta分析, Overview分析, 候选基因

Abstract：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 Meta-QTL 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.

Key words： soybean seed and pod traits meta-analysis overview analysis candidate gene

收稿日期: 2018-05-22 出版日期: 2018-10-24

基金资助:;国家重点研发计划;黑龙江省自然科学基金;黑龙江省本科院校青年创新人才培养计划

通讯作者: 陈庆山 E-mail: qshchen@sohu.com

引用本文:

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. 大豆荚粒数相关QTL的Meta和Overview分析及其候选基因预测[J]. , 2018, 26(11): 1821-1833.

链接本文:

http://journal05.magtech.org.cn/Jwk_ny/CN/ 或 http://journal05.magtech.org.cn/Jwk_ny/CN/Y2018/V26/I11/1821

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