A combined linkage and regional association mapping validation and fine mapping of two major pleiotropic QTLs for seed weight and silique length in rapeseed (Brassica napus L.).

A combined linkage and regional association mapping validation and fine mapping of two major pleiotropic QTLs for seed weight and silique length in rapeseed (Brassica napus L.).
复制标题

在Rapeseed(Brassica Napus L.)中,两个主要的多效性QTL的核对验证和区域关联的绘制验证和精细映射。

DOI:
10.1186/1471-2229-14-114
复制
发表时间:
2014-04-29
期刊:
影响因子:
5.3
通讯作者:
Wang H
Wang H
中科院分区:
生物学2区
文献类型:
--
作者:
Li N;Shi J;Wang X;Liu G;Wang H

文献摘要

参考文献

被引文献

相似文献

油菜籽重和角果长是决定其产量潜力的重要因素。然而,这两种性状的遗传基础知之甚少。本研究通过连锁分析初步定位油菜数量性状基因座(QTL),并通过区域关联分析精细定位目标主效QTL,剖析油菜SW和SL的遗传基础。初步的连锁图谱确定了13个和9个共有QTL的SW和SL分别。这些QTL分别解释SW和SL的0.7-67.1%和2.1-54.4%的表型变异。其中,3对SW和SL QTL共定位,整合成3个独特的QTL。此外,3个共定位的QTL在条件分析前后的显著性水平和遗传效应均发生了较大变化。此外,3个QTL对SW和SL的等位效应高度一致。其中2个共定位QTL uq.A09-1(SW和SL的平均R2分别为20.1%和19.0%)和uq.A09-3(SW和SL的平均R2分别为13.5%和13.2%)在4个环境中都被检测到,且加性效应方向相反。通过对576个自交系的区域关联分析,对这些QTL进行了验证和精细定位(其置信区间uq.A09-1从5.3 cM缩小到1 cM,uq.A09-3从13.2 cM缩小到2.5 cM),这些QTL在目标QTL区域具有相对较快的连锁不平衡衰减(0.3 Mb)。部分主效QTL和部分中效QTL可能参与了油菜耐光性和耐光性的自然变异。Meta效应分析和等位基因效应分析表明,这3对SW和SL QTL共定位的遗传基础是多效性,而不是紧密连锁。区域关联分析是一种高效、有效的方法,可用于对初步定位的主效QTL进行精细定位。
Seed weight (SW) and silique length (SL) are important determinants of the yield potential in rapeseed (Brassica napus L.). However, the genetic basis of both traits is poorly understood. The main objectives of this study were to dissect the genetic basis of SW and SL in rapeseed through the preliminary mapping of quantitative trait locus (QTL) by linkage analysis and fine mapping of the target major QTL by regional association analysis. Preliminary linkage mapping identified thirteen and nine consensus QTLs for SW and SL, respectively. These QTLs explained 0.7-67.1% and 2.1-54.4% of the phenotypic variance for SW and SL, respectively. Of these QTLs, three pairs of SW and SL QTLs were co-localized and integrated into three unique QTLs. In addition, the significance level and genetic effect of the three co-localized QTLs for both SW and SL showed great variation before and after the conditional analysis. Moreover, the allelic effects of the three QTLs for SW were highly consistent with those for SL. Two of the three co-localized QTLs, uq.A09-1 (mean R2 = 20.1% and 19.0% for SW and SL, respectively) and uq.A09-3 (mean R2 = 13.5% and 13.2% for SW and SL, respectively), were detected in all four environments and showed the opposite additive-effect direction. These QTLs were validated and fine mapped (their confidence intervals were narrowed down from 5.3 cM to 1 cM for uq.A09-1 and 13.2 cM to 2.5 cM for uq.A09-3) by regional association analysis with a panel of 576 inbred lines, which has a relatively rapid linkage disequilibrium decay (0.3 Mb) in the target QTL region. A few QTLs with major effects and several QTLs with moderate effects might contribute to the natural variation of SW and SL in rapeseed. The meta-, conditional and allelic effect analyses suggested that pleiotropy, rather than tight linkage, was the genetic basis of the three pairs of co-localized of SW and SL QTLs. Regional association analysis was an effective and highly efficient strategy for the direct fine mapping of target major QTL identified by preliminary linkage mapping.
DOI: 10.1186/1471-2164-14-120
发表时间: 2013-02-22
期刊: BMC genomics
影响因子: 4.4
作者:
Delourme R;Falentin C;Fomeju BF;Boillot M;Lassalle G;André I;Duarte J;Gauthier V;Lucante N;Marty A;Pauchon M;Pichon JP;Ribière N;Trotoux G;Blanchard P;Rivière N;Martinant JP;Pauquet J
通讯作者: Pauquet J
DOI: 10.1534/genetics.105.044586
发表时间: 2006-02-01
期刊: GENETICS
影响因子: 3.3
作者:
Breseghello, F;Sorrells, ME
通讯作者: Sorrells, ME
甘蓝型油菜种子含油量的母体控制:长角果壁光合作用的作用
DOI: 10.1111/j.1365-313x.2011.04802.x
发表时间: 2012-02-01
期刊: PLANT JOURNAL
影响因子: 7.2
作者:
Hua, Wei;Li, Rong-Jun;Wang, Han-Zhong
通讯作者: Wang, Han-Zhong
DOI: 10.1093/bioinformatics/btm308
发表时间: 2007-10-01
期刊: BIOINFORMATICS
影响因子: 5.8
作者:
Bradbury, Peter J.;Zhang, Zhiwu;Buckler, Edward S.
通讯作者: Buckler, Edward S.
DOI: 10.1371/journal.pgen.1002221
发表时间: 2011-08
期刊: PLoS genetics
影响因子: 4.5
作者:
Famoso AN;Zhao K;Clark RT;Tung CW;Wright MH;Bustamante C;Kochian LV;McCouch SR
通讯作者: McCouch SR