基于Meta分析的大豆百粒重的QTLs定位  

Meta-Analysis of 100-Seed Weight QTLs in Soybean

作　　者：齐照明[1] 孙亚男[1] 陈立君[2] 郭强[2] 刘春燕[1,3] 胡国华[3] 陈庆山[1] 

机构地区：[1]东北农业大学农学院,哈尔滨150030 [2]黑龙江省农业科学院作物育种研究所,哈尔滨150086 [3]黑龙江省农垦科研育种中心,哈尔滨150090

出　　处：《中国农业科学》2009年第11期3795-3803,共9页Scientia Agricultura Sinica

基　　金：国家高技术研究发展计划(“863”计划)(2006AA100104-3);黑龙江省博士后科研启动基金(LHK-04014,LRB06-126);黑龙江省高校青年学术骨干支持计划项目(1152G007)

摘　　要：【目的】百粒重是控制大豆产量性状的主要数量性状,对大豆产量性状进行基因定位具有重要的研究和应用价值。现有百粒重QTL定位结果分散,需选择合适的公共图谱,整合前人的研究结果,使其真正应用到实践中。【方法】以2004年发布大豆公共遗传连锁图谱soymap2为参考图谱,将近20年不同试验中的大豆百粒重的QTLs进行映射整合,构建百粒重QTL综合图谱。利用BioMercator2.1的映射功能将国内外常用的大豆图谱上的百粒重QTLs通过公共标记映射整合到大豆公共遗传连锁图谱soymap2上,并利用Meta分析,通过对比已经报道的QTLs的95%的置信区间来推断QTL位置,从而提取真正有效的QTL标记。【结果】在已经发表的文献中共找到65个百粒重QTLs定位信息,其中有53个QTLs定位区间与公共图谱有共有标记,包括36个增效效应的QTLs和17个减效效应的百粒重QTLs,共得到12个QTL簇,通过Meta分析,发掘出6个增效效应和6个减效效应的百粒重"通用QTLs"及其连锁标记。【结论】本研究得到的"通用QTLs"其置信区间最小可达到1.52cM,为辅助选择分子标记、QTL精细定位以及数量性状基因的克隆奠定基础。[Objective] Soybean is a major crop in the world, and the yield is a very important trait. 100-seed weight is a very complicated quantitative trait of yield. The study of gene mapping for yield traits in soybean is very important for application. However, the mapping results of 100-seed weight was dispersive, thus the public map should be chosen which is suitable for the integration of published results, application of the process for improving yield. [ Method] In this research, an integrated map of 100-seed weight QTL in soybean was established with the soymap2 published in 2004 as a reference map. QTLs of 100-seed weight in soybean were collected in recent 20 years. With the software BioMercator2.1, QTL from their own maps were projected to the reference map. Meta QTL position was concluded by 95% C.I. of original QTLs, the real QTL could be found. [Result] From the published papers, 65 QTLs of 100-seed weight were collected and 53 QTLs were integrated, including 17 reductive effect QTLs and 36 additive effect QTLs. Twelve clusters of QTLs were found in the integrated map. A method of meta-analysis was used to narrow down the confidence interval, and 6 additive ＂consensus＂ QTLs and 6 reductive ＂consensus＂ QTLs and their corresponding markers were obtained respectively. The minimum C.I. was shrunk to 1.52 cM. [Conclusion] These results would lay a foundation for marker-assisted selection and mapping QTL precisely, as well as QTL gene cloning in soybean.

关 键 词：大豆 百粒重 META分析 通用QTL MAS 

分 类 号：S565.1[农业科学—作物学]