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Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach

Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of fruit composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes),...

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Autores principales: Pascual, Laura, Xu, Jiaxin, Biais, Benoît, Maucourt, Mickaël, Ballias, Patricia, Bernillon, Stéphane, Deborde, Catherine, Jacob, Daniel, Desgroux, Aurore, Faurobert, Mireille, Bouchet, Jean-Paul, Gibon, Yves, Moing, Annick, Causse, Mathilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871826/
https://www.ncbi.nlm.nih.gov/pubmed/24151307
http://dx.doi.org/10.1093/jxb/ert349
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author Pascual, Laura
Xu, Jiaxin
Biais, Benoît
Maucourt, Mickaël
Ballias, Patricia
Bernillon, Stéphane
Deborde, Catherine
Jacob, Daniel
Desgroux, Aurore
Faurobert, Mireille
Bouchet, Jean-Paul
Gibon, Yves
Moing, Annick
Causse, Mathilde
author_facet Pascual, Laura
Xu, Jiaxin
Biais, Benoît
Maucourt, Mickaël
Ballias, Patricia
Bernillon, Stéphane
Deborde, Catherine
Jacob, Daniel
Desgroux, Aurore
Faurobert, Mireille
Bouchet, Jean-Paul
Gibon, Yves
Moing, Annick
Causse, Mathilde
author_sort Pascual, Laura
collection PubMed
description Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of fruit composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes), and phenotypes of eight tomato accessions, covering the genetic diversity of the species, and four of their F(1) hybrids, were characterized at two fruit developmental stages (cell expansion and orange-red). The contents of metabolites varied among the genetic backgrounds, while enzyme profiles were less variable, particularly at the cell expansion stage. Frequent genotype by stage interactions suggested that the trends observed for one accession at a physiological level may change in another accession. In agreement with this, the inheritance modes varied between crosses and stages. Although additivity was predominant, 40% of the traits were non-additively inherited. Relationships among traits revealed associations between different levels of expression and provided information on several key proteins. Notably, the role of frucktokinase, invertase, and cysteine synthase in the variation of metabolites was highlighted. Several stress-related proteins also appeared related to fruit weight differences. These key proteins might be targets for improving metabolite contents of the fruit. This systems biology approach provides better understanding of networks controlling the genetic variation of tomato fruit composition. In addition, the wide data sets generated provide an ideal framework to develop innovative integrated hypothesis and will be highly valuable for the research community.
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spelling pubmed-38718262013-12-26 Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach Pascual, Laura Xu, Jiaxin Biais, Benoît Maucourt, Mickaël Ballias, Patricia Bernillon, Stéphane Deborde, Catherine Jacob, Daniel Desgroux, Aurore Faurobert, Mireille Bouchet, Jean-Paul Gibon, Yves Moing, Annick Causse, Mathilde J Exp Bot Research Paper Integrative systems biology proposes new approaches to decipher the variation of phenotypic traits. In an effort to link the genetic variation and the physiological and molecular bases of fruit composition, the proteome (424 protein spots), metabolome (26 compounds), enzymatic profile (26 enzymes), and phenotypes of eight tomato accessions, covering the genetic diversity of the species, and four of their F(1) hybrids, were characterized at two fruit developmental stages (cell expansion and orange-red). The contents of metabolites varied among the genetic backgrounds, while enzyme profiles were less variable, particularly at the cell expansion stage. Frequent genotype by stage interactions suggested that the trends observed for one accession at a physiological level may change in another accession. In agreement with this, the inheritance modes varied between crosses and stages. Although additivity was predominant, 40% of the traits were non-additively inherited. Relationships among traits revealed associations between different levels of expression and provided information on several key proteins. Notably, the role of frucktokinase, invertase, and cysteine synthase in the variation of metabolites was highlighted. Several stress-related proteins also appeared related to fruit weight differences. These key proteins might be targets for improving metabolite contents of the fruit. This systems biology approach provides better understanding of networks controlling the genetic variation of tomato fruit composition. In addition, the wide data sets generated provide an ideal framework to develop innovative integrated hypothesis and will be highly valuable for the research community. Oxford University Press 2013-12 2013-10-22 /pmc/articles/PMC3871826/ /pubmed/24151307 http://dx.doi.org/10.1093/jxb/ert349 Text en © The Author 2013. Published by Oxford University Press on behalf of the Society for Experimental Biology. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Pascual, Laura
Xu, Jiaxin
Biais, Benoît
Maucourt, Mickaël
Ballias, Patricia
Bernillon, Stéphane
Deborde, Catherine
Jacob, Daniel
Desgroux, Aurore
Faurobert, Mireille
Bouchet, Jean-Paul
Gibon, Yves
Moing, Annick
Causse, Mathilde
Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title_full Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title_fullStr Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title_full_unstemmed Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title_short Deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
title_sort deciphering genetic diversity and inheritance of tomato fruit weight and composition through a systems biology approach
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871826/
https://www.ncbi.nlm.nih.gov/pubmed/24151307
http://dx.doi.org/10.1093/jxb/ert349
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