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dc.contributor.authorBineau, Estelle
dc.contributor.authorRambla, José L.
dc.contributor.authorDuboscq, Renaud
dc.contributor.authorCorre, Marie-Noëlle
dc.contributor.authorBitton, Frédérique
dc.contributor.authorlugan, raphael
dc.contributor.authorGranell, Antonio
dc.contributor.authorPlissonneau, Clémence
dc.contributor.authorCausse, Mathilde
dc.date.accessioned2022-10-07T10:11:04Z
dc.date.available2022-10-07T10:11:04Z
dc.date.issued2022-05-31
dc.identifier.citationBineau, E.; Rambla, J.L.; Duboscq, R.; Corre, M.-N.; Bitton, F.; Lugan, R.; Granell, A.; Plissonneau, C.; Causse, M. Inheritance of Secondary Metabolites and Gene Expression Related to Tomato Fruit Quality. Int. J. Mol. Sci. 2022, 23, 6163. https://doi.org/10.3390/ijms23116163ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/200267
dc.description.abstractFlavour 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.ca_CA
dc.format.extent19 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfInt. J. Mol. Sci. 2022, 23ca_CA
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland.ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjecttomatoca_CA
dc.subjectbreedingca_CA
dc.subjectflavourca_CA
dc.subjectvolatilesca_CA
dc.subjectmode of inheritanceca_CA
dc.subjectgene expressionca_CA
dc.titleInheritance of Secondary Metabolites and Gene Expression Related to Tomato Fruit Qualityca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/ijms23116163
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameCIFRE project Qualhytomca_CA
project.funder.nameANR project TomEpiSetca_CA
project.funder.nameEuropean Union’s Horizon 2020 research and innovation programme, HARNESSTOMca_CA
oaire.awardNumber2018/1239ca_CA
oaire.awardNumberANR-16-CE20-0014ca_CA
oaire.awardNumber101000716ca_CA


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