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Optimal viral strategies for bypassing RNA silencing

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Optimal viral strategies for bypassing RNA silencing

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Rodrigo Tarrega, G.; Carrera, J.; Jaramillo, A.; Elena Fito, SF. (2011). Optimal viral strategies for bypassing RNA silencing. Interface. 8(55):257-268. https://doi.org/10.1098/rsif.2010.0264

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83125

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Title: Optimal viral strategies for bypassing RNA silencing
Author: Rodrigo Tarrega, Guillermo Carrera, Javier Jaramillo, Alfonso Elena Fito, Santiago Fco
UPV Unit: 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
Issued date:
[EN] The RNA silencing pathway constitutes a defence mechanism highly conserved in eukaryotes, especially in plants, where the underlying working principle relies on the repressive action triggered by the intracellular ...[+]
Subjects: RNA silencing , Silencing suppression , Systems and synthetic biology , Transcription-translation tradeoff , Virus evolution , Virus-host interaction , Defence mechanisms , Design Principles , Designing principle , Double-stranded RNA , Immune systems , Mechanism of action , Model-driven , Post-transcriptional , Protein components , RNA silencing pathway , Sequence-specific manner , Small interfering RNA , Synthetic biology , Viral RNA , Working principles , Biology , Optimization , Proteins , Transcription , Viruses , RNA , RNA induced silencing complex , Article , Gene silencing , Mathematical model , Nonhuman , RNA transcription , RNA translation , Suppressor gene , Virus , Virus cell interaction , Virus replication , Evolution, Molecular , Models, Genetic , RNA Interference , RNA Viruses , RNA, Small Interfering , Suppression, Genetic , Viral Proteins , Eukaryota
Copyrigths: Reserva de todos los derechos
Interface. (issn: 1742-5689 )
DOI: 10.1098/rsif.2010.0264
Royal Society, The
Publisher version: http://doi.org/10.1098/rsif.2010.0264
Project ID:
info:eu-repo/grantAgreement/EC/FP7/248919/EU/Bacterial Computing with Engineered Populations/
info:eu-repo/grantAgreement/EC/FP7/248919/EU/Bacterial Computing with Engineered Populations/
info:eu-repo/grantAgreement/MICINN//BFU2009-06993/ES/Biologia Evolutiva Y De Sistemas De La Emergencia De Fitovirus De Rna/
info:eu-repo/grantAgreement/EC/FP7/212894/EU/Targeting environmental pollution with engineered microbial systems á la carte/
info:eu-repo/grantAgreement/EC/FP6/43340/EU/Engineered modular bacterial hydrogen photo-production of hydrogen/BIOMODULARH2/
info:eu-repo/grantAgreement/EC//RII3-CT-2003-506079/EU/Analyzing network traffic data with soft-computing techniques/
This work was supported by the Spanish Ministerio de Ciencia e Innovacion grants BFU2009-06993 to S.F E. and TIN-2006-12860 to A.J, and by FP6-NEST-043340 (BioModularH2), FP7-ICT-043338 (Bactocom), FP7-KBBE-212894 (Tarpol), ...[+]
Type: Artículo



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