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]
< Leer menos
Etude du Polymorphisme des Génomes Végétaux [EPGV]
Centre National de Génotypage [CNG]
Idioma
en
Article de revue
Este ítem está publicado en
Acta Horticulturae. 2015, vol. 1099, p. 793-800
International Society for Horticultural Science
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Palabras clave
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
Palabras clave en inglés
fruit quality
genomic
SNP
genêtic variation
enzymic activity
tomato
systems biology
Orígen
Importado de HalCentros de investigación