Genetic basis of phenotypic plasticity and genotype × environment interactions in a multi-parental tomato population.
Genetic basis of phenotypic plasticity and genotype × environment interactions in a multi-parental tomato population.
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DOI：
10.1093/jxb/eraa265
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发表时间：
2020-09-19
影响因子：
6.9
通讯作者：
Causse M
中科院分区：
文献类型：
--
作者：
Diouf I;Derivot L;Koussevitzky S;Carretero Y;Bitton F;Moreau L;Causse M
在使用多亲本先进代杂交群体的多环境试验中测量农艺和果实品质性状，确定了可塑性的 QTL 和响应番茄非生物胁迫的 QTL × 环境相互作用。 破译表型可塑性和基因型×环境相互作用（G×E）的遗传基础对于全球气候变化背景下的植物育种至关重要。番茄（Solanum lycopersicum）是一种广泛栽培的作物，可以在不同的地理生境中生长，并且表现出强大的表型可塑性。我们使用多亲代杂交 (MAGIC) 番茄群体来探索多环境试验 (MET) 中测量的多个性状的 G×E 和可塑性，其中包括 12 个环境中的最佳培养条件以及水分亏缺、盐度和热应激。所有测量的性状均观察到显着的 G×E。通过采用 Finlay-Wilkinson 和阶乘回归模型来估计不同的可塑性参数，并将这些参数与基因型方法一起用于数量性状基因座 (QTL) 作图分析。此外，还使用混合线性模型来研究QTL×环境相互作用的存在。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，为番茄逆境响应基因的功能表征和培育气候适应品种铺平了道路。
Measurements of agronomic and fruit quality traits in a multi-environment trial using a multi-parental advanced generation intercross population identify QTLs for plasticity and QTL × environment interactions in response to abiotic stresses in tomato. 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.
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影响因子：
18
作者：
Kusmec A;Srinivasan S;Nettleton D;Schnable PS
通讯作者：
Schnable PS
影响因子：
3.3
作者：
Giraud H;Bauland C;Falque M;Madur D;Combes V;Jamin P;Monteil C;Laborde J;Palaffre C;Gaillard A;Blanchard P;Charcosset A;Moreau L
通讯作者：
Moreau L
影响因子：
5.8
作者：
Huang, B. Emma;George, Andrew W.
通讯作者：
George, Andrew W.
影响因子：
11.6
作者：
Aubert, D;Chen, LJ;Sung, ZR
通讯作者：
Sung, ZR
影响因子：
3
作者：
Huang, He;Gehan, Malia A.;Nusinow, Dmitri A.
通讯作者：
Nusinow, Dmitri A.