SONG Wan-kun,WANG Jing,ZHU Ming-xi,et al.Meta-analysis of Fatty Acid QTLs in Soybean[J].Soybean Science,2009,28(05):774-780.[doi:10.11861/j.issn.1000-9841.2009.05.0774]
大豆脂肪酸组分相关QTL元分析
- Title:
- Meta-analysis of Fatty Acid QTLs in Soybean
- 文章编号:
- 1000-9841(2009)05-0774-07
- Keywords:
- Soybean (Glycine max L.); Fat acid; QTL; Meta-analysis; Mapping
- 分类号:
- S565.1
- 文献标志码:
- A
- 摘要:
- 大豆油中脂肪酸的种类与含量是衡量其品质的主要指标。目前,对大豆脂肪酸组分相关的QTL研究较多,然而这些结果之间由于作图群体、分析方法以及环境条件的差异造成了QTL定位的区间过大或定位区间重叠等问题。通过搜集已报道的与大豆脂肪酸含量相关的83个QTL,提取相对有效且可靠的QTL标记信息,利用元分析软件BioMercator2.1将这些QTL映射到大豆公共遗传连锁图谱Soymap2上,构建了一张大豆脂肪酸组分相关QTL一致性图谱。并利用QTL的95%的置信区间来元分析推断“真实”QTL的位置。结果共得到定位在10个连锁群上的19个“真实”QTLs,他们主要分布在A1、B2、D1b、D2、E、G、L这7条连锁群上且成簇分布,明显缩短了其QTL的置信区间。研究结果为大豆脂肪酸组分相关的QTL的精细定位以及脂肪酸组分相关基因挖掘提供了有力的依据。
- Abstract:
- The component and content of fatty acid are important standard to evaluate the quality of soybean (Glycine max L.).Although more and more QTLs related with fatty acid were developed,but the accuracy and validity of these QTLs didn’t ?show very well in different populations by different method of data analysis,or in different environment.In this paper,83 fatty acid QTLs were collected.They were all projected on the public genetic linkage map,Soymap2,by BioMercator2.1.And a consensus genetic map from individual map with QTLs,genes and other loci was built. A method of meta-analysis was used to deduce the true QTLs’ locus with confidence interval of 95%.Nineteen true QTLs were acquired.All the QTLs were mapped on 10 linkages group,mainly distributed on A1,B2,D1b,D2,E,G,and L linkages group as clusters.Most QTLs were related with multiple trait of fatty acid in soybean.The results narrowed down the reported QTLs,which provided the base for QTL fine mapping and gene cloning.
参考文献/References:
[1]Paterson A H,Lander E S,Hewitt J D,et al.Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms[J].Nature,1988,335:721-726.
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备注/Memo
基金项目:转基因专项资助项目(2009ZX08009-013B);农业部引进国际先进农业科学技术计划(948计划)资助项目(2006-G1(A));国家高技术研究发展计划(863计划)资助项目(2006AA10Z1F4);黑龙江省博士后科研启动基金资助项目(LHK-04014)。