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Interaction network of tobacco etch potyvirus NIa protein with the host proteome during infection

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Interaction network of tobacco etch potyvirus NIa protein with the host proteome during infection

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dc.contributor.author Martinez Roberto, Fernando es_ES
dc.contributor.author Rodrigo Tarrega, Guillermo es_ES
dc.contributor.author Aragones, Verónica es_ES
dc.contributor.author Ruiz Server, Marta es_ES
dc.contributor.author Lodewijk, Iris es_ES
dc.contributor.author Fernandez, Unai es_ES
dc.contributor.author Elena Fito, Santiago Fco es_ES
dc.contributor.author Daros Arnau, Jose Antonio es_ES
dc.date.accessioned 2017-05-05T09:54:08Z
dc.date.available 2017-05-05T09:54:08Z
dc.date.issued 2016-02-01
dc.identifier.issn 1471-2164
dc.identifier.uri http://hdl.handle.net/10251/80650
dc.description.abstract Conclusions: Potyviral NIa targets many host elements during infection, establishing a network in which information is efficiently transmitted. es_ES
dc.description.abstract Background: The genomes of plant viruses have limited coding capacity, and to complete their infectious cycles, viral factors must target, direct or indirectly, many host elements. However, the interaction networks between viruses and host factors are poorly understood. The genus Potyvirus is the largest group of plus-strand RNA viruses infecting plants. Potyviral nuclear inclusion a (NIa) plays many roles during infection. NIa is a polyprotein consisting of two domains, viral protein genome-linked (VPg) and protease (NIaPro), separated by an inefficiently utilized self-proteolytic site. To gain insights about the interaction between potyviral NIa and the host cell during infection, we constructed Tobacco etch virus (TEV, genus Potyvirus) infectious clones in which the VPg or the NIaPro domains of NIa were tagged with the affinity polypeptide Twin-Strep-tag and identified the host proteins targeted by the viral proteins by affinity purification followed by mass spectrometry analysis (AP-MS). Results: We identified 232 different Arabidopsis thaliana proteins forming part of complexes in which TEV NIa products were also involved. VPg and NIaPro specifically targeted 89 and 76 of these proteins, respectively, whereas 67 proteins were targeted by both domains and considered full-length NIa targets. Taking advantage of the currently known A. thaliana interactome, we constructed a protein interaction network between TEV NIa domains and 516 host proteins. The most connected elements specifically targeted by VPg were G-box regulating factor 6 and mitochondrial ATP synthase delta subunit; those specifically targeted by NIaPro were plasma membrane aquaporin PIP2;7 and actin 7, whereas those targeted by full-length NIa were heat shock protein 70-1 and photosystem protein LHCA3. Moreover, a contextualization in the global A. thaliana interactome showed that NIa targets are not more connected with other host proteins than expected by chance, but are in a position that allows them to connect with other host proteins in shorter paths. Further analysis of NIa-targeted host proteins revealed that they are mainly involved in response to stress, metabolism, photosynthesis, and localization. Many of these proteins are connected with the phytohormone ethylene. Conclusions: Potyviral NIa targets many host elements during infection, establishing a network in which information is efficiently transmitted. es_ES
dc.description.sponsorship This work was supported by grants BIO2011-26741, BIO2014-54269-R and BFU2012-30805 from Ministerio de Economia y Competitividad (Spain) and PROMETEOII/2014/021 from Generalitat Valenciana. F.M. was the recipient of a predoctoral fellowship from Universidad Politecnica de Valencia. The proteomics analysis was carried out in the SCSIE, Universitat de Valencia Proteomics Unit, member of ISCIII ProteoRed Proteomics Platform (Spain). We particularly thank Luz Valero (SCSIE, Universitat de Valencia) for excellent assistance. en_EN
dc.language Inglés es_ES
dc.publisher BioMed Central es_ES
dc.relation.ispartof BMC Genomics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Host-virus systems biology es_ES
dc.subject Protein interaction network es_ES
dc.subject RNA virus es_ES
dc.subject Plant virus es_ES
dc.subject Potyvirus es_ES
dc.subject Nuclear inclusion a protein es_ES
dc.subject Affinity purification mass spectrometry es_ES
dc.subject Arabidopsis thaliana es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Interaction network of tobacco etch potyvirus NIa protein with the host proteome during infection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/s12864-016-2394-y
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//BIO2011-26741/ES/PATOGENOS DE RNA DE PLANTAS: INTERACCION CON EL HUESPED Y DESARROLLO DE HERRAMIENTAS BIOTECNOLOGICAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BIO2014-54269-R/ES/INSTRUMENTOS BIOTECNOLOGICOS DERIVADOS DE VIRUS DE PLANTAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//BFU2012-30805/ES/EVOLUTIONARY SYSTEMS VIROLOGY: EPISTASIS AND THE RUGGEDNESS OF ADAPTIVE LANDSCAPES, MUTATIONS IN REGULATORY SEQUENCES, AND THE HOST DETERMINANTS OF VIRAL FITNESS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F021/ES/Comparative systems biology of host-virus interactions/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Martinez Roberto, F.; Rodrigo Tarrega, G.; Aragones, V.; Ruiz Server, M.; Lodewijk, I.; Fernandez, U.; Elena Fito, SF.... (2016). Interaction network of tobacco etch potyvirus NIa protein with the host proteome during infection. BMC Genomics. 17:1-13. https://doi.org/10.1186/s12864-016-2394-y es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1186/s12864-016-2394-y es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 17 es_ES
dc.relation.senia 331944 es_ES
dc.identifier.pmid 26830344 en_EN
dc.identifier.pmcid PMC4735970 en_EN
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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