Bulk segregant analysis: "An effective approach for mapping consistent-effect drought grain yield QTLs in rice"
Bulk segregant analysis: "An effective approach for mapping consistent-effect drought grain yield QTLs in rice"
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DOI：
10.1016/j.fcr.2012.05.012
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发表时间：
2012-08-12
影响因子：
5.8
通讯作者：
Kumar, Arvind
中科院分区：
文献类型：
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作者：
Vikram, Prashant;Swamy, B. P. Mallikarjuna;Kumar, Arvind
水稻干旱胁迫下产量QTL定位涉及到大群体的表型和基因型分析。基因分型产生的巨大成本可以被视为该过程中的瓶颈。近年来，利用全群体基因型（WPG）、选择基因型（SG）和群体分离分析（BSA）等方法对水稻干旱胁迫下主要产量性状的QTL进行了研究。以Basmati 334/Swarna和N22/MTU 1010两个重组自交系群体为材料，比较了不同QTL定位方法在鉴定水稻干旱胁迫下主效产量QTL中的效率。所有三种基因分型方法在鉴定加性效应大于或等于10%的一致效应QTL时都是有效的。比较分析显示，在N22/MTU 1010 F-3：4作图群体中，SG和BSA所需的数据点分别比WPG少63.5%和92.1%。BSA方法成功检测到WPG和SG检测到的一致性效应的干旱产量QTL qDTY（1.1）和qDTY（8.1）。与SG不同，BSA没有导致向上估计的加性效应和表型方差。结果表明，BSA是干旱胁迫下鉴定主要产量QTL的最有效、最省力的基因分型方法。(C)2012爱思唯尔有限公司版权所有。
Mapping QTLs for grain yield under drought in rice involves phenotyping and genotyping of large mapping populations. The huge cost incurred in genotyping could be considered as a bottleneck in the process. Whole population genotyping (WPG), selective genotyping (SG), and bulk segregant analysis (BSA) approaches were employed for the identification of major grain-yield QTLs under drought in rice in the past few years. The efficiency of different QTL mapping approaches in identifying major-effect grain-yield QTLs under drought in rice was compared using phenotypic and genotypic data of two recombinant inbred line populations, Basmati334/Swarna and N22/MTU1010. All three genotyping approaches were efficient in identifying consistent-effect QTLs with an additive effect of 10% or more. Comparative analysis revealed that SG and BSA required 63.5% and 92.1% fewer data points, respectively, than WPG in the N22/MTU1010 F-3:4 mapping population. The BSA approach successfully detected consistent-effect drought grain-yield QTLs qDTY(1.1) and qDTY(8.1) detected by WPG and SG. Unlike SG, BSA did not lead to an upward estimation of the additive effect and phenotypic variance. The results clearly demonstrate that BSA is the most efficient and effort saving genotyping approach for identifying major grain yield QTLs under drought. (C) 2012 Elsevier B.V. All rights reserved.