Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis

This study aimed at the monitoring of the apricot (Prunus armeniaca L.) ripening progression through the expression analysis of 25 genes related to fruit quality traits in nine cultivars with great differences in fruit color and ripening date. The level of pigment compounds, such as anthocyanins and...

Descripción completa

Detalles Bibliográficos
Autores: García-Gómez, Beatriz E., Salazar, Juan A., Egea, Jose A., Rubio, Manuel, Martínez-Gómez, Pedro, Ruiz, David
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/414152
Acceso en línea:http://hdl.handle.net/10261/414152
https://api.elsevier.com/content/abstract/scopus_id/85128348181
Access Level:acceso abierto
Palabra clave:Breeding
Fruit quality
Metabolomics
Multiple linear regression
predictive models
Prunus armeniaca L
Ripening
Transcriptomics
id ES_f8b4c71204d1223a6f9bfa3e2f4b93ba
oai_identifier_str oai:digital.csic.es:10261/414152
network_acronym_str ES
network_name_str España
repository_id_str
spelling Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression AnalysisGarcía-Gómez, Beatriz E.Salazar, Juan A.Egea, Jose A.Rubio, ManuelMartínez-Gómez, PedroRuiz, DavidBreedingFruit qualityMetabolomicsMultiple linear regressionpredictive modelsPrunus armeniaca LRipeningTranscriptomicsThis study aimed at the monitoring of the apricot (Prunus armeniaca L.) ripening progression through the expression analysis of 25 genes related to fruit quality traits in nine cultivars with great differences in fruit color and ripening date. The level of pigment compounds, such as anthocyanins and carotenoids, is a key factor in food taste, and is responsible for the reddish blush color or orange skin and flesh color in apricot fruit, which are desirable quality traits in apricot breeding programs. The construction of multiple linear regression models to predict anthocyanins and carotenoids content from gene expression allows us to evaluate which genes have the strongest influence over fruit color, as these candidate genes are key during biosynthetic pathways or gene expression regulation, and are responsible for the final fruit phenotype. We propose the gene CHS as the main predictor for anthocyanins content, CCD4 and ZDS for carotenoids content, and LOX2 and MADS-box for the beginning and end of the ripening process in apricot fruit. All these genes could be applied as RNA markers to monitoring the ripening stage and estimate the anthocyanins and carotenoids content in apricot fruit during the ripening process.This study has been supported by Grant Nº 19879/GERM/15 of the Seneca Foundation of the Region of Murcia and the Apricot Breeding Project of the Spanish Ministry of Economy and Competitiveness.Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Economía y Competitividad (España)Fundación SénecaRuiz, David [0000-0002-2659-8210]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/414152https://api.elsevier.com/content/abstract/scopus_id/85128348181reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésInternational Journal of Molecular Scienceshttps://doi.org/10.3390/ijms23094575Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4141522026-05-22T06:33:51Z
dc.title.none.fl_str_mv Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
title Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
spellingShingle Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
García-Gómez, Beatriz E.
Breeding
Fruit quality
Metabolomics
Multiple linear regression
predictive models
Prunus armeniaca L
Ripening
Transcriptomics
title_short Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
title_full Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
title_fullStr Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
title_full_unstemmed Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
title_sort Monitoring Apricot (Prunus armeniaca L.) Ripening Progression through Candidate Gene Expression Analysis
dc.creator.none.fl_str_mv García-Gómez, Beatriz E.
Salazar, Juan A.
Egea, Jose A.
Rubio, Manuel
Martínez-Gómez, Pedro
Ruiz, David
author García-Gómez, Beatriz E.
author_facet García-Gómez, Beatriz E.
Salazar, Juan A.
Egea, Jose A.
Rubio, Manuel
Martínez-Gómez, Pedro
Ruiz, David
author_role author
author2 Salazar, Juan A.
Egea, Jose A.
Rubio, Manuel
Martínez-Gómez, Pedro
Ruiz, David
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Fundación Séneca
Ruiz, David [0000-0002-2659-8210]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Breeding
Fruit quality
Metabolomics
Multiple linear regression
predictive models
Prunus armeniaca L
Ripening
Transcriptomics
topic Breeding
Fruit quality
Metabolomics
Multiple linear regression
predictive models
Prunus armeniaca L
Ripening
Transcriptomics
description This study aimed at the monitoring of the apricot (Prunus armeniaca L.) ripening progression through the expression analysis of 25 genes related to fruit quality traits in nine cultivars with great differences in fruit color and ripening date. The level of pigment compounds, such as anthocyanins and carotenoids, is a key factor in food taste, and is responsible for the reddish blush color or orange skin and flesh color in apricot fruit, which are desirable quality traits in apricot breeding programs. The construction of multiple linear regression models to predict anthocyanins and carotenoids content from gene expression allows us to evaluate which genes have the strongest influence over fruit color, as these candidate genes are key during biosynthetic pathways or gene expression regulation, and are responsible for the final fruit phenotype. We propose the gene CHS as the main predictor for anthocyanins content, CCD4 and ZDS for carotenoids content, and LOX2 and MADS-box for the beginning and end of the ripening process in apricot fruit. All these genes could be applied as RNA markers to monitoring the ripening stage and estimate the anthocyanins and carotenoids content in apricot fruit during the ripening process.
publishDate 2022
dc.date.none.fl_str_mv 2022
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/414152
https://api.elsevier.com/content/abstract/scopus_id/85128348181
url http://hdl.handle.net/10261/414152
https://api.elsevier.com/content/abstract/scopus_id/85128348181
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Molecular Sciences
https://doi.org/10.3390/ijms23094575
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425026802909184
score 15,812429

Similares en LA Referencia