Inheritance of Secondary Metabolites and Gene Expression Related to Tomato Fruit Quality
Bineau, Estelle | Rambla, José, Luis | Duboscq, Renaud | Corre, Marie-Noëlle | Bitton, Frédérique | Lugan, Raphaël | Granell, Antonio | Plissonneau, Clémence | Causse, Mathilde | Génétique et Amélioration des Fruits et Légumes (GAFL) ; Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Gautier semences | Universitat Politècnica de València = Universitad Politecnica de Valencia = Polytechnic University of Valencia (UPV) | Démarche intégrée pour l'obtention d'aliments de qualité (UMR QualiSud) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Avignon Université (AU)-Université de La Réunion (UR)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | CIFRE project Qualhytom2018/1239 | ANR-16-CE20-0014,TomEpiSet,La parthénocarpie comme une stratégie pour surmonter la baisse de nouaison et du rendement en fruits chez la tomate dans des conditions de stress thermique(2016) | European Project: 101000716,HARNESSTOM
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Показать больше [+] Меньше [-]Английский. Flavour and nutritional quality are important goals for tomato breeders. This study aimed to shed light upon transgressive behaviors for fruit metabolic content. We studied the metabolic contents of 44 volatile organic compounds (VOCs), 18 polyphenolics, together with transcriptome profiles in a factorial design comprising six parental lines and their 14 F1 hybrids (HF1) among which were five pairs of reciprocal HF1. After cluster analyses of the metabolome dataset and co-expression network construction of the transcriptome dataset, we characterized the mode of inheritance of each component. Both overall and per-cross mode of inheritance analyses revealed as many additive and non-additive modes of inheritance with few reciprocal effects. Up to 66% of metabolites displayed transgressions in a HF1 relative to parental values. Analysis of the modes of inheritance of metabolites revealed that: (i) transgressions were mostly of a single type whichever the cross and poorly correlated to the genetic distance between parental lines; (ii) modes of inheritance were scarcely consistent between the 14 crosses but metabolites belonging to the same cluster displayed similar modes of inheritance for a given cross. Integrating metabolome, transcriptome and modes of inheritance analyses suggested a few candidate genes that may drive important changes in fruit VOC contents.
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