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利用小麦染色体臂特异作图群体解析根系性状的 QTL 效应。

Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat.

机构信息

Department of Botany and Plant Sciences, University of California, Riverside, CA 92521-0124, USA.

出版信息

Theor Appl Genet. 2011 Mar;122(4):759-69. doi: 10.1007/s00122-010-1484-5. Epub 2010 Dec 11.

DOI:10.1007/s00122-010-1484-5
PMID:21153397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3037480/
Abstract

A high-resolution chromosome arm-specific mapping population was used in an attempt to locate/detect gene(s)/QTL for different root traits on the short arm of rye chromosome 1 (1RS) in bread wheat. This population consisted of induced homoeologous recombinants of 1RS with 1BS, each originating from a different crossover event and distinct from all other recombinants in the proportions of rye and wheat chromatin present. It provides a simple and powerful approach to detect even small QTL effects using fewer progeny. A promising empirical Bayes method was applied to estimate additive and epistatic effects for all possible marker pairs simultaneously in a single model. This method has an advantage for QTL analysis in minimizing the error variance and detecting interaction effects between loci with no main effect. A total of 15 QTL effects, 6 additive and 9 epistatic, were detected for different traits of root length and root weight in 1RS wheat. Epistatic interactions were further partitioned into inter-genomic (wheat and rye alleles) and intra-genomic (rye-rye or wheat-wheat alleles) interactions affecting various root traits. Four common regions were identified involving all the QTL for root traits. Two regions carried QTL for almost all the root traits and were responsible for all the epistatic interactions. Evidence for inter-genomic interactions is provided. Comparison of mean values supported the QTL detection.

摘要

利用高分辨率的染色体臂特异性作图群体,试图定位/检测小麦 1 号染色体短臂 1RS 上不同根性状的基因/数量性状位点 (QTL)。该群体由与 1BS 的同源重组诱导系组成,每个重组系均源自不同的交叉事件,与群体中存在的其他重组系在黑麦和小麦染色质的比例上均不同。该方法为使用较少的后代检测甚至小的 QTL 效应提供了一种简单而强大的方法。应用了一种有前途的经验贝叶斯方法,在单个模型中同时估计所有可能的标记对的加性和上位性效应。该方法在最小化误差方差和检测无主效应的位点之间的互作效应方面具有优势。共检测到 15 个 QTL 效应,其中 6 个为加性效应,9 个为上位性效应,这些效应与 1RS 小麦的根长和根重的不同性状有关。上位性互作进一步分为影响各种根性状的基因组间(小麦和黑麦等位基因)和基因组内(黑麦-黑麦或小麦-小麦等位基因)互作。确定了涉及所有根性状 QTL 的 4 个共同区域。两个区域携带与几乎所有根性状有关的 QTL,负责所有上位性互作。提供了基因组间相互作用的证据。平均值的比较支持了 QTL 的检测。

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