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多亲本番茄群体中表型可塑性和基因型×环境互作的遗传基础

Genetic basis of phenotypic plasticity and genotype × environment interactions in a multi-parental tomato population.

作者信息

Diouf Isidore, Derivot Laurent, Koussevitzky Shai, Carretero Yolande, Bitton Frédérique, Moreau Laurence, Causse Mathilde

机构信息

INRAE, GAFL, Monfavet, France.

GAUTIER Semences, route d'Avignon, Eyragues, France.

出版信息

J Exp Bot. 2020 Sep 19;71(18):5365-5376. doi: 10.1093/jxb/eraa265.

Abstract

Deciphering the genetic basis of phenotypic plasticity and genotype × environment interactions (G×E) is of primary importance for plant breeding in the context of global climate change. Tomato (Solanum lycopersicum) is a widely cultivated crop that can grow in different geographical habitats and that displays a great capacity for expressing phenotypic plasticity. We used a multi-parental advanced generation intercross (MAGIC) tomato population to explore G×E and plasticity for multiple traits measured in a multi-environment trial (MET) comprising optimal cultural conditions together with water deficit, salinity, and heat stress over 12 environments. Substantial G×E was observed for all the traits measured. Different plasticity parameters were estimated by employing Finlay-Wilkinson and factorial regression models and these were used together with genotypic means for quantitative trait loci (QTL) mapping analyses. In addition, mixed linear models were also used to investigate the presence of QTL × environment interactions. The results highlighted a complex genetic architecture of tomato plasticity and G×E. Candidate genes that might be involved in the occurrence of G×E are proposed, paving the way for functional characterization of stress response genes in tomato and for breeding climate-adapted cultivars.

摘要

在全球气候变化背景下,解析表型可塑性和基因型×环境互作(G×E)的遗传基础对植物育种至关重要。番茄(Solanum lycopersicum)是一种广泛种植的作物,能在不同地理生境中生长,且表现出很强的表型可塑性表达能力。我们利用一个多亲本高世代杂交(MAGIC)番茄群体,在一个多环境试验(MET)中探究了12种环境下包括最佳栽培条件以及水分亏缺、盐度和热胁迫等多种性状的G×E和可塑性。在所测的所有性状中均观察到显著的G×E。通过采用芬利-威尔金森模型和因子回归模型估计了不同的可塑性参数,并将这些参数与基因型均值一起用于数量性状位点(QTL)定位分析。此外还使用混合线性模型研究QTL×环境互作的存在情况。结果凸显了番茄可塑性和G×E的复杂遗传结构。提出了可能参与G×E发生的候选基因,为番茄胁迫响应基因的功能表征及培育适应气候的品种铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4126/7501811/bd542cd4c30c/eraa265f0001.jpg

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