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利用三个相关小麦 RIL 群体构建整合连锁图谱和与粒产量相关性状的 QTL 定位。

Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations.

机构信息

State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Tai'an Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China,

出版信息

Theor Appl Genet. 2014 Mar;127(3):659-75. doi: 10.1007/s00122-013-2249-8. Epub 2013 Dec 11.

Abstract

A novel high-density consensus wheat genetic map was obtained based on three related RIL populations, and the important chromosomal regions affecting yield and related traits were specified. A prerequisite for mapping quantitative trait locus (QTL) is to build a genetic linkage map. In this study, three recombinant inbred line populations (represented by WL, WY, and WJ) sharing one common parental line were used for map construction and subsequently for QTL detection of yield-related traits. PCR-based and diversity arrays technology markers were screened in the three populations. The integrated genetic map contains 1,127 marker loci, which span 2,976.75 cM for the whole genome, 985.93 cM for the A genome, 922.16 cM for the B genome, and 1,068.65 cM for the D genome. Phenotypic values were evaluated in four environments for populations WY and WJ, but three environments for population WL. Individual and combined phenotypic values across environments were used for QTL detection. A total of 165 putative additive QTL were identified, 22 of which showed significant additive-by-environment interaction effects. A total of 65 QTL (51.5%) were stable across environments, and 23 of these (35.4%) were common stable QTL that were identified in at least two populations. Notably, QTkw-5B.1, QTkw-6A.2, and QTkw-7B.1 were common major stable QTL in at least two populations, exhibiting 11.28-16.06, 5.64-18.69, and 6.76-21.16% of the phenotypic variance, respectively. Genetic relationships between kernel dimensions and kernel weight and between yield components and yield were evaluated. Moreover, QTL or regions that commonly interact across genetic backgrounds were discussed by comparing the results of the present study with those of previous similar studies. The present study provides useful information for marker-assisted selection in breeding wheat varieties with high yield.

摘要

基于三个相关的重组自交系群体,获得了一个新颖的高密度小麦共识遗传图谱,并确定了影响产量和相关性状的重要染色体区域。映射数量性状基因座 (QTL) 的前提是构建遗传连锁图谱。在这项研究中,使用了三个共享一个共同亲本系的重组自交系群体 (以 WL、WY 和 WJ 表示) 进行图谱构建,随后用于检测与产量相关的性状的 QTL。在三个群体中筛选了基于 PCR 的和多样性阵列技术标记。综合遗传图谱包含 1127 个标记位点,跨越整个基因组的 2976.75 cM,A 基因组的 985.93 cM,B 基因组的 922.16 cM,D 基因组的 1068.65 cM。WY 和 WJ 群体在四个环境中评估了表型值,但 WL 群体在三个环境中评估了表型值。个体和组合的表型值在环境中用于 QTL 检测。共鉴定出 165 个假定的加性 QTL,其中 22 个表现出显著的加性-环境互作效应。共有 65 个 QTL (51.5%) 在环境中稳定,其中 23 个 (35.4%) 是至少在两个群体中鉴定出的共同稳定 QTL。值得注意的是,QTkw-5B.1、QTkw-6A.2 和 QTkw-7B.1 是至少在两个群体中共同的主要稳定 QTL,分别表现出 11.28-16.06、5.64-18.69 和 6.76-21.16%的表型方差。评估了籽粒尺寸和籽粒重量与产量构成和产量之间的遗传关系。此外,通过比较本研究的结果与以前类似研究的结果,讨论了在不同遗传背景下共同相互作用的 QTL 或区域。本研究为标记辅助选择高产品种的小麦育种提供了有用的信息。

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