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Recent Advances on the Multiplex Molecular Detection of Plant Viruses and Viroids

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Recent Advances on the Multiplex Molecular Detection of Plant Viruses and Viroids

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dc.contributor.author Pallás Benet, Vicente es_ES
dc.contributor.author Sanchez Navarro, Jesús Ángel es_ES
dc.contributor.author James, D. es_ES
dc.date.accessioned 2019-06-29T20:01:23Z
dc.date.available 2019-06-29T20:01:23Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1664-302X es_ES
dc.identifier.uri http://hdl.handle.net/10251/122897
dc.description.abstract [EN] Plant viruses are still one of the main contributors to economic losses in agriculture. It has been estimated that plant viruses can cause as much as 50 billion euros loss worldwide, per year. This situation may be worsened by recent climate change events and the associated changes in disease epidemiology. Reliable and early detection methods are still one of the main and most effective actions to develop control strategies for plant viral diseases. During the last years, considerable progress has been made to develop tools with high specificity and low detection limits for use in the detection of these plant pathogens. Time and cost reductions have been some of the main objectives pursued during the last few years as these increase their feasibility for routine use. Among other strategies, these objectives can be achieved by the simultaneous detection and (or) identification of several viruses in a single assay. Nucleic acid-based detection techniques are especially suitable for this purpose. Polyvalent detection has allowed the detection of multiple plant viruses at the genus level. Multiplexing RT polymerase chain reaction (PCR) has been optimized for the simultaneous detection of more than 10 plant viruses/viroids. In this short review, we provide an update on the progress made during the last decade on techniques such as multiplex PCR, polyvalent PCR, non-isotopic molecular hybridization techniques, real-time PCR, and array technologies to allow simultaneous detection of multiple plant viruses. Also, the potential and benefits of the powerful new technique of deep sequencing/next-generation sequencing are described. es_ES
dc.description.sponsorship This work was funded by grant BIO2017-88321-R from the Spanish Direccion General de Investigacion Cientifica y Tecnica (DGICYT) and the Prometeo Program GV2014/010 from the Generalitat Valenciana.
dc.language Inglés es_ES
dc.publisher Frontiers Media SA es_ES
dc.relation.ispartof Frontiers in Microbiology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multiplex es_ES
dc.subject Polymerase chain reaction es_ES
dc.subject Molecular hybridization es_ES
dc.subject Microarrays es_ES
dc.subject Polyprobes es_ES
dc.subject Next-generation sequencing es_ES
dc.subject Plant viruses es_ES
dc.subject Viroids es_ES
dc.title Recent Advances on the Multiplex Molecular Detection of Plant Viruses and Viroids es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fmicb.2018.02087 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIO2017-88321-R/ES/DESCRIFRANDO INTERACCIONES VIRUS-PLANTA ESENCIALES PARA LA SUSCEPTIBILIDAD Y%2FO RESISTENCIA EN DOS PATOSISTEMAS AGRONOMICAMENTE RELEVANTES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GV%2F2014%2F010/
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 Pallás Benet, V.; Sanchez Navarro, JÁ.; James, D. (2018). Recent Advances on the Multiplex Molecular Detection of Plant Viruses and Viroids. Frontiers in Microbiology. 9. https://doi.org/10.3389/fmicb.2018.02087 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3389/fmicb.2018.02087 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.identifier.pmid 30250456
dc.identifier.pmcid PMC6139301
dc.relation.pasarela S\382338 es_ES
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Agencia Estatal de Investigación es_ES


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