Suppr超能文献

基于嵌套关联作图的 GWAS 分析在不同澳大利亚环境下种植的小麦的粒产量和相关性状。

Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments.

机构信息

School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, PMB 1 Glen Osmond, Adelaide, SA, 5064, Australia.

ARC Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate, Waite Research Institute, The University of Adelaide, Glen Osmond, SA, 5064, Australia.

出版信息

Theor Appl Genet. 2022 Dec;135(12):4437-4456. doi: 10.1007/s00122-022-04230-9. Epub 2022 Oct 7.

Abstract

Utilising a nested association mapping (NAM) population-based GWAS, 98 stable marker-trait associations with 127 alleles unique to the exotic parents were detected for grain yield and related traits in wheat. Grain yield, thousand-grain weight, screenings and hectolitre weight are important wheat yield traits. An understanding of their genetic basis is crucial for improving grain yield in breeding programmes. Nested association mapping (NAM) populations are useful resources for the dissection of the genetic basis of complex traits such as grain yield and related traits in wheat. Coupled with phenotypic data collected from multiple environments, NAM populations have the power to detect quantitative trait loci and their multiple alleles, providing germplasm that can be incorporated into breeding programmes. In this study, we evaluated a large-scale wheat NAM population with two recurrent parents in unbalanced trials in nine diverse Australian field environments over three years. By applying a single-stage factor analytical linear mixed model (FALMM) to the NAM multi-environment trials (MET) data and conducting a genome-wide association study (GWAS), we detected 98 stable marker-trait associations (MTAs) with their multiple alleles. 74 MTAs had 127 alleles that were derived from the exotic parents and were absent in either of the two recurrent parents. The exotic alleles had favourable effects on 46 MTAs of the 74 MTAs, for grain yield, thousand-grain weight, screenings and hectolitre weight. Two NAM RILs with consistently high yield in multiple environments were also identified, highlighting the potential of the NAM population in supporting plant breeding through provision of germplasm that can be readily incorporated into breeding programmes. The identified beneficial exotic alleles introgressed into the NAM population provide potential target alleles for the genetic improvement of wheat and further studies aimed at pinpointing the underlying genes.

摘要

利用嵌套关联作图(NAM)基于群体的 GWAS,在小麦的产量和相关性状中检测到 98 个与 127 个独特于外来亲本的等位基因相关的稳定标记-性状关联。粒重、千粒重、筛选和每公升重量是重要的小麦产量性状。了解它们的遗传基础对于改良育种计划中的产量至关重要。嵌套关联作图(NAM)群体是解析复杂性状(如小麦产量和相关性状)遗传基础的有用资源。与从多个环境收集的表型数据相结合,NAM 群体具有检测数量性状基因座及其多个等位基因的能力,提供可纳入育种计划的种质资源。在这项研究中,我们在三年时间里,在九个不同的澳大利亚田间环境中,对一个具有两个轮回亲本的大型小麦 NAM 群体进行了不平衡试验。通过对 NAM 多环境试验(MET)数据应用单阶段因子分析线性混合模型(FALMM)并进行全基因组关联研究(GWAS),我们检测到 98 个与多个等位基因相关的稳定标记-性状关联(MTAs)。74 个 MTA 具有 127 个来自外来亲本的等位基因,在两个轮回亲本中均不存在。在 74 个 MTA 中,有 46 个 MTA 的外来等位基因对粒重、千粒重、筛选和每公升重量具有有利影响。还鉴定出了两个在多个环境中产量始终较高的 NAM RIL,突出了 NAM 群体通过提供易于纳入育种计划的种质资源来支持植物育种的潜力。导入 NAM 群体的有益外来等位基因为小麦的遗传改良提供了潜在的目标等位基因,进一步的研究旨在确定潜在的基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8907/9734238/150a2c999ef9/122_2022_4230_Fig1a_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验