产量 QTL 组分布与玉米中的基因密度相关。

Yield QTLome distribution correlates with gene density in maize.

机构信息

Department of Agricultural Sciences, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy.

Department of Agricultural Sciences, University of Bologna, Viale Fanin 44, 40127 Bologna, Italy; Field Crops Programme, IRTA (Institute for Food and Agricultural Research and Technology), 25198 Lleida, Spain.

出版信息

Plant Sci. 2016 Jan;242:300-309. doi: 10.1016/j.plantsci.2015.09.022. Epub 2015 Sep 28.

DOI:10.1016/j.plantsci.2015.09.022

PMID:26566847

Abstract

The genetic control of yield and related traits in maize has been addressed by many quantitative trait locus (QTL) studies, which have produced a wealth of QTL information, also known as QTLome. In this study, we assembled a yield QTLome database and carried out QTL meta-analysis based on 44 published studies, representing 32 independent mapping populations and 49 parental lines. A total of 808 unique QTLs were condensed to 84 meta-QTLs and were projected on the 10 maize chromosomes. Seventy-four percent of QTLs showed a proportion of phenotypic variance explained (PVE) smaller than 10% confirming the high genetic complexity of grain yield. Yield QTLome projection on the genetic map suggested pericentromeric enrichment of QTLs. Conversely, pericentromeric depletion of QTLs was observed when the physical map was considered, suggesting gene density as the main driver of yield QTL distribution on chromosomes. Dominant and overdominant yield QTLs did not distribute differently from additive effect QTLs.

摘要

许多数量性状位点 (QTL) 研究已经解决了玉米产量和相关性状的遗传控制问题，这些研究产生了大量的 QTL 信息，也称为 QTLome。在这项研究中，我们组装了一个产量 QTLome 数据库，并基于 44 项已发表的研究进行了 QTL 元分析，这些研究代表了 32 个独立的作图群体和 49 个亲本系。总共将 808 个独特的 QTL 浓缩为 84 个主效 QTL，并投射到 10 条玉米染色体上。74%的 QTL 表现出的表型方差解释比例 (PVE) 小于 10%，这证实了谷物产量的高度遗传复杂性。在遗传图谱上对产量 QTLome 的投影表明 QTL 集中在着丝粒周围。相反，当考虑物理图谱时，观察到着丝粒周围 QTL 的耗竭，这表明基因密度是染色体上产量 QTL 分布的主要驱动因素。显性和超显性产量 QTL 与加性效应 QTL 的分布没有不同。