Experimental validation of computationally predicted phytoene synthase isoforms encoded by the Arabidopsis thaliana PSY gene

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dc.contributor.affiliationInstituto Universitario Mixto de Biología Molecular y Celular de Plantas
dc.contributor.authorNavarro-Carcelén, Juan
dc.contributor.authorRODRIGUEZ-CONCEPCION, Manuel
dc.contributor.funderGeneralitat Valencianaes_ES
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.contributor.funderMinisterio de Ciencia e Innovaciónes_ES
dc.date.accessioned2025-05-27T18:35:16Z
dc.date.available2025-05-27T18:35:16Z
dc.date.issued2025-04es_ES
dc.description.abstract[EN] Key message The representative model in the TAIR database of the first and main rate-determining enzyme of the carotenoid pathway, phytoene synthase (PSY), corresponds to a computational prediction artifact.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationNavarro-Carcelén, J.;Rodríguez Concepción, M. (2025). Experimental validation of computationally predicted phytoene synthase isoforms encoded by the Arabidopsis thaliana PSY gene. Plant Cell Reports. 44(4). https://doi.org/10.1007/s00299-025-03482-1es_ES
dc.description.issue4es_ES
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We thank Lourdes Gomez Gomez for the pAC-85b plasmid, and members of our laboratory for helpful discussions. Work in our lab is funded by grants from Spanish MCIN/AEI/https://doi.org/10.13039/501100011033and European NextGeneration EU/PRTR programs to MR-C (PID2023-149584NB-I00 and PID2020-115810GB-I00). MR-C is also supported by Generalitat Valenciana (PROMETEU/2021/056 and AGROALNEXT/2022/067). Our group is a member of CaRed, the Spanish Carotenoid Network funded by MCIN/AEI (RED2022-134577-T). JN-C received a predoc-toral fellowship from MCIN/AEI (PRE2021-098681).es_ES
dc.description.volume44es_ES
dc.identifier.doi10.1007/s00299-025-03482-1es_ES
dc.identifier.issn0721-7714es_ES
dc.identifier.pmcidPMC11961509es_ES
dc.identifier.pmid40167797es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/221211
dc.languageIngléses_ES
dc.publisherSpringer-Verlages_ES
dc.relation.ispartofPlant Cell Reportses_ES
dc.relation.pasarelaS\547256es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115810GB-I00/ES/MECANISMOS MOLECULARES DE LA BIOGENESIS DE CROMOPLASTOS/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/GVA//PROMETEO%2F2021%2F056/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/GVA//AGROALNEXT%2F2022%2F067/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//PID2023-149584NB-I00/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//RED2022-134577-T/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//PRE2021-098681/es_ES
dc.relation.publisherversionhttps://doi.org/10.1007/s00299-025-03482-1es_ES
dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectPhytoene synthase isoformses_ES
dc.subjectArabidopsis thaliana PSYes_ES
dc.subjectCarotenoid pathwayes_ES
dc.titleExperimental validation of computationally predicted phytoene synthase isoforms encoded by the Arabidopsis thaliana PSY genees_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublicationes_ES
person.identifier576382
person.identifier325414
person.identifier.orcid0000-0002-1280-2305
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relation.isAuthorOfPublication0dda9838-58fa-454f-8533-94c8ec34cf2a
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