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关联作图分析小麦产量及其相关性状的研究揭示了基因多效性和紧密连锁的作用。

The roles of pleiotropy and close linkage as revealed by association mapping of yield and correlated traits of wheat (Triticum aestivum L.).

机构信息

Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany.

TraitGenetics GmbH, Gatersleben, Germany.

出版信息

J Exp Bot. 2017 Jul 10;68(15):4089-4101. doi: 10.1093/jxb/erx214.

Abstract

Grain yield (GY) of bread wheat (Triticum aestivum L.) is quantitatively inherited. Correlated GY-syndrome traits such as plant height (PH), heading date (HD), thousand grain weight (TGW), test weight (TW), grains per ear (GPE), and ear weight (EW) influence GY. Most quantitative genetics studies assessed the multiple-trait (MT) complex of GY-syndrome using single-trait approaches, and little is known about its underlying pleiotropic architecture. We investigated the pleiotropic architecture of wheat GY-syndrome through MT association mapping (MT-GWAS) using 372 varieties phenotyped in up to eight environments and genotyped with 18 832 single nucleotide polymorphisms plus 24 polymorphic functional markers. MT-GWAS revealed a total of 345 significant markers spread genome wide, representing 8, 40, 11, 40, 34, and 35 effective GY-PH, GY-HD, GY-TGW, GY-TW, GY-GPE, and GY-EW associations, respectively. Among them, pleiotropic roles of Rht-B1 and TaGW2-6B loci were corroborated. Only one marker presented simultaneous associations for three traits (i.e. GY-TGW-TW). Close linkage was difficult to differentiate from pleiotropy; thus, the pleiotropic architecture of GY-syndrome was dissected more as a cause of pleiotropy rather than close linkage. Simulations showed that minor allele frequencies, along with sizes and distances between quantitative trait loci for two traits, influenced the ability to distinguish close linkage from pleiotropy.

摘要

小麦籽粒产量(GY)是数量遗传的。与产量相关的表型性状如株高(PH)、抽穗期(HD)、千粒重(TGW)、容重(TW)、穗粒数(GPE)和穗重(EW)等均会影响 GY。大多数数量遗传学研究采用单性状方法评估产量综合表型的多性状(MT)复合体,而对其潜在的多效性结构知之甚少。我们通过使用在多达 8 个环境中表型测定、18832 个单核苷酸多态性和 24 个多态性功能标记物进行基因型分析的 372 个品种,进行了多性状关联作图(MT-GWAS),研究了小麦产量综合表型的多效性结构。MT-GWAS 共发现了 345 个在全基因组范围内显著的标记物,分别代表 8、40、11、40、34 和 35 个有效 GY-PH、GY-HD、GY-TGW、GY-TW、GY-GPE 和 GY-EW 关联。其中,证实了 Rht-B1 和 TaGW2-6B 位点的多效性作用。只有一个标记物同时与三个性状相关联(即 GY-TGW-TW)。连锁很难与多效性区分开来;因此,产量综合表型的多效性结构更多地被剖析为多效性的原因,而不是连锁。模拟表明,两个性状的小等位基因频率、数量性状基因座的大小和距离,影响了区分连锁与多效性的能力。

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