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大豆昆虫抗性相关QTLs的元分析
引用本文:王晶,宋万坤,张闻博,刘春燕,胡国华,陈庆山.大豆昆虫抗性相关QTLs的元分析[J].遗传,2009,31(9):953-961.
作者姓名:王晶  宋万坤  张闻博  刘春燕  胡国华  陈庆山
作者单位:1. 黑龙江省农垦科研育种中心,哈尔滨,150090;东北农业大学农学院,哈尔滨,150030
2. 东北农业大学农学院,哈尔滨,150030
3. 黑龙江省农垦科研育种中心,哈尔滨,150090
基金项目:引进国际先进农业科学技术计划(948计划)项目(编号:2006-G1,国家高技术研究发展计划(863计划)项目,黑龙江省博士后科研启动基金项目 
摘    要:大豆虫害严重危害大豆生产。虽然大豆抗虫相关QTLs研究增多, 但由于作图群体不同、同种昆虫抗性QTL的调查性状不同以及数据分析方法存在差异等原因, 使QTL精确性和有效性被降低。因此, 获得相对真实且有效的QTLs位点对于促进分子标记辅助选择有重要意义。文章通过搜集已报道的81个与大豆昆虫抗性相关的QTL, 提取相对有效且可靠的QTLs标记信息, 利用元分析软件BioMercator2.1将这些QTLs映射到大豆公共遗传连锁图谱Soymap2上, 通过单独与联合的两种元分析途径, 利用QTLs的95%的置信区间来推断“真实QTLs”的位置。文章不仅构建了一张大豆昆虫抗性一致性图谱, 而且通过两种元分析途径分别得到12个和14个QTLs位点, 且其中有6个位点QTL的位置一致。它们被定位在9个连锁群上, 主要成簇分布在E、F、H、M等4个连锁群上, 图距由原来平均15 cM缩减到平均3.67 cM。除了一个与大豆食心虫抗性相关的位点外, 其余QTLs都与多种昆虫抗性相关。研究结果明显缩短了原来已报道的QTL置信区间, 为大豆抗虫相关QTL的精细定位以及抗虫相关基因挖掘提供了依据。

关 键 词:大豆  抗虫  元分析  QTL  定位
收稿时间:2009-03-03
修稿时间:2009-06-04

Meta-analysis of insect-resistance QTLs in soybean
WANG Jing,SONG Wan-Kun,ZHANG Wen-Bo,LIU Chun-Yan,HU Guo-Hua,CHEN Qing-Shan.Meta-analysis of insect-resistance QTLs in soybean[J].Hereditas,2009,31(9):953-961.
Authors:WANG Jing  SONG Wan-Kun  ZHANG Wen-Bo  LIU Chun-Yan  HU Guo-Hua  CHEN Qing-Shan
Institution:1. The Crop Research and Breeding Center of Land-Reclamation, Harbin 150090, China;
2. College of Agriculture, Northeast Agricultural University, Harbin 150030, China
Abstract:Soybean (Glycine max L.) yield is harmed seriously by pests. Although more and more QTLs for insect-resistance have been developed, the accuracy and validity of these QTLs are not always effective in different populations, for different traits, or by different method of data analysis. It is very important to obtain the real and effective QTL, which would provide great significance for molecular marker assisted selection. In this paper, the information on 81 QTLs related to insect-resistance was collected. All the insect-resistance QTLs were projected on the public genetic linkage map Soymap2 by BioMercator2.1, and a consensus genetic map from different maps with QTLs, genes and other loci was built. A method of meta-analysis was used to deduce the locations of true QTLs with confidence interval of 95%. Twelve and fourteen true QTLs were acquired separately by two ways of individual and integrated meta-analysis, and 6 QTLs showed consensus. All the QTLs were mapped on 9 linkages groups, which were mainly distributed on E, F, H, and M linkages groups as clusters. The QTL intervals were reduced from 15 cM to 3.67 cM in average. Most QTLs were related to resistance to multiple pests besides a soybean pod borer resistance QTL. The results narrowed down the reported QTLs, which provides the basis for QTL fine mapping and gene cloning.
Keywords:QTL
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