Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches

Autores
Marchionni Basté, Ezequiel; Pereira Da Costa, Javier Hernán; Rodríguez, Gustavo Rubén; Zorzoli, Roxana; Pratta, Guillermo Raúl
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Multivariate analysis became essential in functional and structural Genomics because of the large quantity of biological data provided by these new research areas. Diallel mating design was widely applied to analyze the heritability of quantitative traits but it was recently used for approaching to the inheritance patterns of other levels of gene expression such as transcript profiles. Investigating the inheritance pattern of total polypeptide profiles with a diallel design remains as a vacancy subject. The objective of the present research was to infer the inheritance of total polypeptides profiles from tomato pericarp tissue at four different ripening stages in a diallel mating design including five recombinant inbred lines (RILs) and their ten second cycle hybrids (SCH). To achieve this objective, a multivariate analysis was applied to identify eventual inheritance patterns through a data mining approach and then univariate analyses were used to verify these patterns. Mainly dominance and also overdominance, though in a minor percentage, contributed to the gene actions involved in their genetic basis. Multivariate analysis was efficient in identifying inheritance patterns of total polypeptide profiles through a data mining approach, and univariate analyses largely verified the identified gene actions
Fil: Marchionni Basté, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Pereira Da Costa, Javier Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Rodríguez, Gustavo Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Zorzoli, Roxana. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina. Universidad Nacional de Rosario. Consejo de Investigaciones; Argentina
Fil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Materia
Solanum lycopersicum
Plant Genetic Resources
Proteomics
Cluster Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/30238
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate ApproachesMarchionni Basté, EzequielPereira Da Costa, Javier HernánRodríguez, Gustavo RubénZorzoli, RoxanaPratta, Guillermo RaúlSolanum lycopersicumPlant Genetic ResourcesProteomicsCluster Analysishttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Multivariate analysis became essential in functional and structural Genomics because of the large quantity of biological data provided by these new research areas. Diallel mating design was widely applied to analyze the heritability of quantitative traits but it was recently used for approaching to the inheritance patterns of other levels of gene expression such as transcript profiles. Investigating the inheritance pattern of total polypeptide profiles with a diallel design remains as a vacancy subject. The objective of the present research was to infer the inheritance of total polypeptides profiles from tomato pericarp tissue at four different ripening stages in a diallel mating design including five recombinant inbred lines (RILs) and their ten second cycle hybrids (SCH). To achieve this objective, a multivariate analysis was applied to identify eventual inheritance patterns through a data mining approach and then univariate analyses were used to verify these patterns. Mainly dominance and also overdominance, though in a minor percentage, contributed to the gene actions involved in their genetic basis. Multivariate analysis was efficient in identifying inheritance patterns of total polypeptide profiles through a data mining approach, and univariate analyses largely verified the identified gene actionsFil: Marchionni Basté, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; ArgentinaFil: Pereira Da Costa, Javier Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; ArgentinaFil: Rodríguez, Gustavo Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; ArgentinaFil: Zorzoli, Roxana. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina. Universidad Nacional de Rosario. Consejo de Investigaciones; ArgentinaFil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; ArgentinaScientific Research Publishing2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/30238Marchionni Basté, Ezequiel; Pereira Da Costa, Javier Hernán; Rodríguez, Gustavo Rubén; Zorzoli, Roxana; Pratta, Guillermo Raúl; Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches; Scientific Research Publishing; American Journal of Plant Sciences; 5; 13; 6-2014; 1926-19352158-2742CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.4236/ajps.2014.513206info:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/13-2601511_46934.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:22Zoai:ri.conicet.gov.ar:11336/30238instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:53:22.48CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
title Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
spellingShingle Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
Marchionni Basté, Ezequiel
Solanum lycopersicum
Plant Genetic Resources
Proteomics
Cluster Analysis
title_short Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
title_full Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
title_fullStr Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
title_full_unstemmed Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
title_sort Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches
dc.creator.none.fl_str_mv Marchionni Basté, Ezequiel
Pereira Da Costa, Javier Hernán
Rodríguez, Gustavo Rubén
Zorzoli, Roxana
Pratta, Guillermo Raúl
author Marchionni Basté, Ezequiel
author_facet Marchionni Basté, Ezequiel
Pereira Da Costa, Javier Hernán
Rodríguez, Gustavo Rubén
Zorzoli, Roxana
Pratta, Guillermo Raúl
author_role author
author2 Pereira Da Costa, Javier Hernán
Rodríguez, Gustavo Rubén
Zorzoli, Roxana
Pratta, Guillermo Raúl
author2_role author
author
author
author
dc.subject.none.fl_str_mv Solanum lycopersicum
Plant Genetic Resources
Proteomics
Cluster Analysis
topic Solanum lycopersicum
Plant Genetic Resources
Proteomics
Cluster Analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Multivariate analysis became essential in functional and structural Genomics because of the large quantity of biological data provided by these new research areas. Diallel mating design was widely applied to analyze the heritability of quantitative traits but it was recently used for approaching to the inheritance patterns of other levels of gene expression such as transcript profiles. Investigating the inheritance pattern of total polypeptide profiles with a diallel design remains as a vacancy subject. The objective of the present research was to infer the inheritance of total polypeptides profiles from tomato pericarp tissue at four different ripening stages in a diallel mating design including five recombinant inbred lines (RILs) and their ten second cycle hybrids (SCH). To achieve this objective, a multivariate analysis was applied to identify eventual inheritance patterns through a data mining approach and then univariate analyses were used to verify these patterns. Mainly dominance and also overdominance, though in a minor percentage, contributed to the gene actions involved in their genetic basis. Multivariate analysis was efficient in identifying inheritance patterns of total polypeptide profiles through a data mining approach, and univariate analyses largely verified the identified gene actions
Fil: Marchionni Basté, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Pereira Da Costa, Javier Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Rodríguez, Gustavo Rubén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
Fil: Zorzoli, Roxana. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina. Universidad Nacional de Rosario. Consejo de Investigaciones; Argentina
Fil: Pratta, Guillermo Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Cs.agrarias. Departamento de Biologia. Cat.de Genetica; Argentina
description Multivariate analysis became essential in functional and structural Genomics because of the large quantity of biological data provided by these new research areas. Diallel mating design was widely applied to analyze the heritability of quantitative traits but it was recently used for approaching to the inheritance patterns of other levels of gene expression such as transcript profiles. Investigating the inheritance pattern of total polypeptide profiles with a diallel design remains as a vacancy subject. The objective of the present research was to infer the inheritance of total polypeptides profiles from tomato pericarp tissue at four different ripening stages in a diallel mating design including five recombinant inbred lines (RILs) and their ten second cycle hybrids (SCH). To achieve this objective, a multivariate analysis was applied to identify eventual inheritance patterns through a data mining approach and then univariate analyses were used to verify these patterns. Mainly dominance and also overdominance, though in a minor percentage, contributed to the gene actions involved in their genetic basis. Multivariate analysis was efficient in identifying inheritance patterns of total polypeptide profiles through a data mining approach, and univariate analyses largely verified the identified gene actions
publishDate 2014
dc.date.none.fl_str_mv 2014-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/30238
Marchionni Basté, Ezequiel; Pereira Da Costa, Javier Hernán; Rodríguez, Gustavo Rubén; Zorzoli, Roxana; Pratta, Guillermo Raúl; Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches; Scientific Research Publishing; American Journal of Plant Sciences; 5; 13; 6-2014; 1926-1935
2158-2742
CONICET Digital
CONICET
url http://hdl.handle.net/11336/30238
identifier_str_mv Marchionni Basté, Ezequiel; Pereira Da Costa, Javier Hernán; Rodríguez, Gustavo Rubén; Zorzoli, Roxana; Pratta, Guillermo Raúl; Genetic Analysis of Tomato Fruit Ripening at Polypeptide Profiles Level through Quantitative and Multivariate Approaches; Scientific Research Publishing; American Journal of Plant Sciences; 5; 13; 6-2014; 1926-1935
2158-2742
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.4236/ajps.2014.513206
info:eu-repo/semantics/altIdentifier/url/http://file.scirp.org/Html/13-2601511_46934.htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Scientific Research Publishing
publisher.none.fl_str_mv Scientific Research Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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