Genetic basis of phenotypic plasticity and genotype × environment interactions in a multi-parental tomato population. (31st May 2020)

• Record Type: Journal Article
• Authors: Diouf, Isidore; Derivot, Laurent; Koussevitzky, Shai; Carretero, Yolande; Bitton, Frédérique; Moreau, Laurence; Causse, Mathilde
• Editors: Rebetzke, Greg
• Is Part Of: Journal of experimental botany. Volume 71:Number 18(2020)
• Page Start: 5365
• Page End: 5376
• Publication Date: 2020-05-31
• Subjects: Abiotic stresses -- genotype × environment interaction (G×E) -- MAGIC population -- phenotypic plasticity -- tomato -- QTL; Botany -- Periodicals; Botany, Experimental -- Periodicals; Plant physiology -- Periodicals; 580
• DOI: 10.1093/jxb/eraa265
• Languages: English
• ISSNs: 0022-0957

Abstract

Abstract : 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. 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.