Department of Plant Genetics and Production, College of Agriculture, Shiraz University, Shiraz, Iran.
NIGEB Genome Center, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Sci Rep. 2021 Mar 25;11(1):6942. doi: 10.1038/s41598-021-86259-2.
Meta-QTL (MQTL) analysis is a robust approach for genetic dissection of complex quantitative traits. Rice varieties adapted to non-flooded cultivation are highly desirable in breeding programs due to the water deficit global problem. In order to identify stable QTLs for major agronomic traits under water deficit conditions, we performed a comprehensive MQTL analysis on 563 QTLs from 67 rice populations published from 2001 to 2019. Yield and yield-related traits including grain weight, heading date, plant height, tiller number as well as root architecture-related traits including root dry weight, root length, root number, root thickness, the ratio of deep rooting and plant water content under water deficit condition were investigated. A total of 61 stable MQTLs over different genetic backgrounds and environments were identified. The average confidence interval of MQTLs was considerably refined compared to the initial QTLs, resulted in the identification of some well-known functionally characterized genes and several putative novel CGs for investigated traits. Ortho-MQTL mining based on genomic collinearity between rice and maize allowed identification of five ortho-MQTLs between these two cereals. The results can help breeders to improve yield under water deficit conditions.
元数量性状位点（MQTL）分析是遗传解析复杂数量性状的一种稳健方法。由于全球水资源短缺问题，适应非淹水栽培的水稻品种在育种计划中非常受欢迎。为了在水分亏缺条件下鉴定主要农艺性状的稳定 QTL，我们对 2001 年至 2019 年发表的 67 个水稻群体的 563 个 QTL 进行了全面的 MQTL 分析。研究了产量和产量相关性状，包括粒重、抽穗期、株高、分蘖数以及与根系结构相关的性状，包括根干重、根长、根数、根厚、深根比例和水分亏缺条件下的植株含水量。共鉴定到 61 个在不同遗传背景和环境下稳定的 MQTL。与初始 QTL 相比，MQTL 的平均置信区间得到了相当大的细化，导致一些已知的具有功能特征的基因和一些研究性状的假定新 CG 被鉴定出来。基于水稻和玉米基因组共线性的直系 MQTL 挖掘，鉴定到这两种谷物之间的五个直系 MQTL。这些结果可以帮助种植者在水分亏缺条件下提高产量。
