QTL identified for stay-green in a multi-reference nested association mapping population of wheat exhibit context dependent expression and parent-specific alleles

数量性状位点 生物 基于家系的QTL定位 关联映射 等位基因 人口 背景(考古学) 特质 开花 遗传学 种质资源 基因定位 农学 基因型 基因 单核苷酸多态性 栽培 人口学 染色体 程序设计语言 古生物学 社会学 计算机科学
作者
Mandy Christopher,Valeria Paccapelo,Alison Kelly,Bethany Macdonald,Lee T. Hickey,Cécile Richard,A. P. Verbyla,Karine Chenu,Andrew Borrell,Asad Amin,Jack Christopher
出处
期刊:Field Crops Research [Elsevier BV]
卷期号:270: 108181-108181 被引量:15
标识
DOI:10.1016/j.fcr.2021.108181
摘要

A stay-green phenotype is useful for adaptation of wheat to end-of-season drought conditions. We identified quantitative trait loci (QTL) for stay-green traits, as well as for height, days to anthesis and yield, in a multi-reference nested association mapping (MR-NAM) population of wheat (Triticum aestivum L.) in two environments differing in degree of drought stress experienced post-anthesis. The MR-NAM population consisted of three inter-related nested association mapping populations developed by nesting 11 diverse adaptation donors within three common reference parents, adapted to the northern, southern and western cropping regions of Australia, respectively. The construction of the MR-NAM population enables the assessment of the effect on a trait of multiple alleles at any particular locus, in different genetic backgrounds, and facilitates concurrent QTL mapping and germplasm development. This approach enabled identification of parent-specific alleles and context dependent expression. Using a new statistical method specifically developed to identify QTL in MR-NAM populations, we identified 65 QTL for stay-green traits. Co-location was observed between (i) trait by loci associations for some of the different stay-green traits, (ii) for QTL between the two environments, and (iii) between QTL for stay-green traits, plant height and grain yield. Some QTL co-located with those identified in other studies however, others are likely novel. Genetic markers associated with QTL for stay-green can be applied in breeding to enrich populations for stay-green traits in early generations of selection, prior to field testing in yield plots, in particular for the development of wheat cultivars targeted to end-of-season drought-stressed environments. This information is important for breeders, because it facilitates identification of the sources of the most promising alleles at particular loci for specific genetic backgrounds and growing environments.
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