A multi-Ievel omic approach of tomato fruit quality
FAUROBERT, Mireille
Génétique et Amélioration des Fruits et Légumes [GAFL]
Northwest A and F University
Génétique et Amélioration des Fruits et Légumes [GAFL]
Northwest A and F University
BRUNEL, Dominique
Etude du Polymorphisme des Génomes Végétaux [EPGV]
Centre National de Génotypage [CNG]
Etude du Polymorphisme des Génomes Végétaux [EPGV]
Centre National de Génotypage [CNG]
LE PASLIER, Marie-Christine
Etude du Polymorphisme des Génomes Végétaux [EPGV]
Centre National de Génotypage [CNG]
< Réduire
Etude du Polymorphisme des Génomes Végétaux [EPGV]
Centre National de Génotypage [CNG]
Langue
en
Article de revue
Ce document a été publié dans
Acta Horticulturae. 2015, vol. 1099, p. 793-800
International Society for Horticultural Science
Résumé en anglais
Improvement of fruit quality traits is a major goal for tomato breeding. Deciphering the genetic diversity and inheritance of fruit quality components is thus necessary. For this purpose, we carried out a large multi-level ...Lire la suite >
Improvement of fruit quality traits is a major goal for tomato breeding. Deciphering the genetic diversity and inheritance of fruit quality components is thus necessary. For this purpose, we carried out a large multi-level omic experiment. Eight contrasted lines and 4 of their F-1 hybrids were phenotyped for fruit development traits. Fruit pericarp samples were analysed at 2 stages (cell expansion and orange ripe) and different scales: (1) untargeted profiling of major polar metabolites, (2) activities of 28 enzymes involved in primary metabolism, (3) proteome profiles revealed by 2D-PAGE and identification of 470 protein spots showing quantitative variations and (4) gene expression analysis by Digital Gene Expression. In parallel, the 8 lines were resequenced and more than 3 million SNPs identified when aligned on the reference tomato genome. This experiment allowed us to assess and compare the range of variability and inheritance mode of the metabolic traits and expression data. Correlation networks were constructed within and between levels of analysis to identify regulatory networks. Diversity of candidate genes could thus be analysed, relating the polymorphisms at the sequence levels with their expression.< Réduire
Mots clés
qualité du fruit
caractère polygénique
diversité génétique
développement du fruit
expression des gènes
activité enzymatique
tomate
solanum lycopersicum
protéome
transcriptome
métabolome
cellule de péricarpe
approche multi-omique
biologie des systèmes
profil métabolique
séquençage de gènes
profil protéomique
polymorphisme snp
Mots clés en anglais
fruit quality
genomic
SNP
genêtic variation
enzymic activity
tomato
systems biology
Origine
Importé de halUnités de recherche