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

被引:49
作者
Diouf, Isidore [1 ]
Derivot, Laurent [2 ]
Koussevitzky, Shai [3 ]
Carretero, Yolande [1 ]
Bitton, Frederique [1 ]
Moreau, Laurence [4 ]
Causse, Mathilde [1 ]
机构
[1] INRAE, GAFL, F-84143 Montfavet, France
[2] GAUTIER Semences, Route Avignon, F-13630 Eyragues, France
[3] Hazera Seeds Growth, IL-7983700 Berurim Mp Shikmim, Israel
[4] Univ Paris Saclay, AgroParisTech, CNRS, INRA,UMR GQE Le Moulon, F-91190 Gif Sur Yvette, France
关键词
Abiotic stresses; genotype x environment interaction (GxE); MAGIC population; phenotypic plasticity; tomato; QTL; SALINITY TOLERANCE; WATER-DEFICIT; QTL ANALYSIS; FRUIT; IDENTIFICATION; ARCHITECTURE; STABILITY; QUALITY; CROPS;
D O I
10.1093/jxb/eraa265
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Deciphering the genetic basis of phenotypic plasticity and genotype x environment interactions (GxE) 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 GxE 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 GxE 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 x environment interactions. The results highlighted a complex genetic architecture of tomato plasticity and GxE. Candidate genes that might be involved in the occurrence of GxE are proposed, paving the way for functional characterization of stress response genes in tomato and for breeding climate-adapted cultivars.
引用
收藏
页码:5365 / 5376
页数:12
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