[1]于志远,王伟威,魏崃,等.利用关联分析方法挖掘自然群体中大豆油分和蛋白质含量相关SSR标记[J].大豆科学,2015,34(06):977-981.[doi:10.11861/j.issn.1000-9841.2015.06.0977]
　YU Zhi-yuan,WANG Wei-wei,WEI Lai,et al.Exploiting SSR Loci Related with Soybean Oil and Protein Content by Using Association Analysis in Natural Population[J].Soybean Science,2015,34(06):977-981.[doi:10.11861/j.issn.1000-9841.2015.06.0977]
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利用关联分析方法挖掘自然群体中大豆油分和蛋白质含量相关SSR标记

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第34卷 期数: 2015年06期 页码: 977-981 栏目: 出版日期: 2015-12-25
Title:
Exploiting SSR Loci Related with Soybean Oil and Protein Content by Using Association Analysis in Natural Population
作者:
于志远1; 王伟威1; 魏崃1; 陈庆山2; 赵贵兴1; 齐照明2; 李杰2; 刘丽君1
1.黑龙江省农业科学院 大豆研究所，黑龙江 哈尔滨 150086；
2.东北农业大学 大豆研究所，黑龙江 哈尔滨 150030
Author(s):
YU Zhi-yuan1; WANG Wei-wei1; WEI Lai1; CHEN Qing-shan2; ZHAO Gui-xing1; QI Zhao-ming2; LI Jie2; LIU Li-jun1
1.Soybean Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China；
2.Soybean Research Institute of Northeast Agricultural University, Harbin 150030, China
关键词:
大豆; 油分含量; 蛋白含量; 关联分析
Keywords:
Soybean;  Oil content;  Protein content;  Association analysis
DOI:
10.11861/j.issn.1000-9841.2015.06.0977
文献标志码:
A
摘要:
为研究自然群体中大豆品种的油分和蛋白质含量变化，筛选出相关标记的优异等位变异，以327份东北主推品种和优异亲本材料构成的自然群体为试验材料。以分布于大豆20条染色体的186对SSR（simple sequence repeat）分子标记检测所有试验材料的基因型，利用STRCTURE 2.3.4软件分析群体结构，将试验材料分为7个亚群。利用TASSEL 3.0软件的混合线性模型的方法对大豆自然群体的油分和蛋白质含量进行关联分析。在极显著水平（P＜0.01）且贡献率大于1%情况下，共检测到33个关联位点。与油分含量极显著关联位点12个，解释率为2.19%~10.05%；与蛋白质含量极显著关联位点11个，解释率为2.65%~9.08%；与油分和蛋白质含量同时关联位点6个，分别为Satt005、Satt117、Satt565、Satt469、Satt594和Satt546，其中Satt594解释率最高，油分为10.05%，蛋白质为9.08%。
Abstract:
In order to study the oil and protein content in resource population of soybean, and to select trait related markers, 327 soybean breeding-used cultivars from Northeast China were used as experimental materials. 186 pairs of SSR (simple sequence repeat) markers, distributed on 20 chromosomes of soybean, were selected to detect genotypes of all testing materials, Software STRCTURE 2.3.4 was used to analysis population structure and experimental material were divided into 7 subgroups.The MLM (Mixed Linear Model) process of software TASSEL 3.0 was used to associate oil and protein contents trait data with SSR marker data.33 associated SSR loci were found highly significant (P＜0.01) related with contribution rate greater than 1%. Among them, 12 loci were significantly associated with oil content, explaining 2.7%-10.08% of variation, 11 loci were significantly associated with protein content, explaining 2.4%-9.08% variation.There are 6 identical loci associated with both oil and protein content, which are Satt005, Satt117, Satt565, Satt469, Satt594 and Satt546. Explanation rate of Satt594 is the highest, which is 10.05% for oil content variation and 9.08% for protein content variation.This study provides information for molecular assisted breeding of soybean with high oil and protein content.

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备注/Memo

基金项目：黑龙江省农业科技创新工程（2D028）；国家现代农业产业技术体系（CARS04-PS05）；哈尔滨市科技局科技创新人才项目（2013RFQYJ016）；黑龙江省归国基金项目（LC2012C37）。

第一作者简介：于志远（1986-），男，硕士，主要从事大豆遗传育种研究。E-mail:ddyuzhiyuan@163.com。
通讯作者：刘丽君（1958-），女，研究员，主要从事作物遗传育种研究。E-mail:nkyssbd@126.com。

更新日期/Last Update: 2016-01-05