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dc.contributor.author | López-Dolz, Lucio | es_ES |
dc.contributor.author | Spada, Maria | es_ES |
dc.contributor.author | Daròs, José-Antonio | es_ES |
dc.contributor.author | CARBONELL, ALBERTO | es_ES |
dc.date.accessioned | 2021-11-05T13:12:00Z | |
dc.date.available | 2021-11-05T13:12:00Z | |
dc.date.issued | 2020-06-19 | es_ES |
dc.identifier.issn | 0305-1048 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/176195 | |
dc.description.abstract | [EN] Eukaryotic RNA interference (RNAi) results in gene silencing upon the sequence-specific degradation of target transcripts by complementary small RNAs (sRNAs). In plants, RNAi-based tools have been optimized for high efficacy and high specificity, and are extensively used in gene function studies and for crop improvement. However, efficient methods for finely adjusting the degree of induced silencing are missing. Here, we present two different strategies based on artificial sRNAs for fine-tuning targeted RNAi efficacy in plants. First, the degree of silencing induced by synthetic-trans-acting small interfering RNAs (syn-tasiRNAs) can be adjusted by modifying the precursor position from which the syn-tasiRNA is expressed. The accumulation and efficacy of Arabidopsis TAS1c-based syn-tasiRNAs progressively decrease as the syn-tasiRNA is expressed from positions more distal to the trigger miR173 target site. And second, syn-tasiRNA activity can also be tweaked by modifying the degree of base-pairing between the 3' end of the syn-tasiRNA and the 5' end of the target RNA. Both strategies were used to finely modulate the degree of silencing of endogenous and exogenous target genes in Arabidopsis thaliana and Nicotiana benthamiana. New high-throughput syn-tasiRNA vectors were developed and functionally analyzed, and should facilitate the precise control of gene expression in multiple plant species. | es_ES |
dc.description.sponsorship | Ministerio de Ciencia, Innovacion y Universidades (MCIU); Agencia Estatal de Investigacion (AEI); Fondo Europeo de Desarrollo Regional (FEDER) [RTI2018-095118-A-100; RYC-2017-21648 to A.C.; BIO2017-83184-R to J.-A.D.]. Funding for open access charge: MCIU; AEI; FEDER [RTI2018-095118-A-100]. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Oxford University Press | es_ES |
dc.relation.ispartof | Nucleic Acids Research | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.title | Fine-tune control of targeted RNAi efficacy by plant artificial small RNAs | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1093/nar/gkaa343 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIO2017-83184-R/ES/VIRUS DE PLANTAS: PATOGENOS Y TAMBIEN VECTORES PARA LA PRODUCCION DE PROTEINAS, METABOLITOS, RNAS Y NANOPARTICULAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//RTI2018-095118-A-I00//COMPLEJOS ARGONAUTA1 DE PLANTAS: IDENTIFICACION DE SUS COMPONENTES PROTEICOS Y DE RNA, Y AJUSTE FINO DEL SILENCIAMIENTO MEDIANTE SU PROGRAMACION POR PEQUEÑOS RNAS ARTIFICIALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095118-A-I00/ES/COMPLEJOS ARGONAUTA1 DE PLANTAS: IDENTIFICACION DE SUS COMPONENTES PROTEICOS Y DE RNA, Y AJUSTE FINO DEL SILENCIAMIENTO MEDIANTE SU PROGRAMACION POR PEQUEÑOS RNAS ARTIFICIALES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MCIU//RYC-2017-21648//RNA-based regulation of gene expression and antiviral resistance in plants / | 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.description.bibliographicCitation | López-Dolz, L.; Spada, M.; Daròs, J.; Carbonell, A. (2020). Fine-tune control of targeted RNAi efficacy by plant artificial small RNAs. Nucleic Acids Research. 48(11):6234-6250. https://doi.org/10.1093/nar/gkaa343 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1093/nar/gkaa343 | es_ES |
dc.description.upvformatpinicio | 6234 | es_ES |
dc.description.upvformatpfin | 6250 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 48 | es_ES |
dc.description.issue | 11 | es_ES |
dc.identifier.pmid | 32396204 | es_ES |
dc.identifier.pmcid | PMC7293048 | es_ES |
dc.relation.pasarela | S\426447 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (Gobierno de España) | es_ES |