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Inheritance of Secondary Metabolites and Gene Expression Related to Tomato Fruit Quality.


ABSTRACT: 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.

SUBMITTER: Bineau E 

PROVIDER: S-EPMC9181508 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Inheritance of Secondary Metabolites and Gene Expression Related to Tomato Fruit Quality.

Bineau Estelle E   Rambla José Luis JL   Duboscq Renaud R   Corre Marie-Noëlle MN   Bitton Frédérique F   Lugan Raphaël R   Granell Antonio A   Plissonneau Clémence C   Causse Mathilde M  

International journal of molecular sciences 20220531 11


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 cons  ...[more]

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