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Background: Planthoppers not only severely affect crops by causing mechanical damage when feeding but are also vectors of several plant virus species. The analysis of gene expression in persistently infected planthoppers might unveil the molecular basis of viral transmission. Quantitative real-time RT-PCR (RT-qPCR) is currently the most accurate and sensitive method used for quantitative gene expression analysis. In order to normalize the resulting
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dc.contributor.author | Maroniche, Guillermo Andrés | |
dc.contributor.author | Sagadin, Monica Beatriz | |
dc.contributor.author | Mongelli, Vanesa Claudia | |
dc.contributor.author | Truol, Graciela Ana Maria | |
dc.contributor.author | Del Vas, Mariana | |
dc.date.accessioned | 2024-02-22T11:52:22Z | |
dc.date.available | 2024-02-22T11:52:22Z | |
dc.date.issued | 2011-12 | |
dc.identifier.issn | 1743-422X | |
dc.identifier.other | https://doi.org/10.1186/1743-422X-8-308 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/16749 | |
dc.identifier.uri | https://virologyj.biomedcentral.com/articles/10.1186/1743-422X-8-308 | |
dc.description.abstract | Background: Planthoppers not only severely affect crops by causing mechanical damage when feeding but are also vectors of several plant virus species. The analysis of gene expression in persistently infected planthoppers might unveil the molecular basis of viral transmission. Quantitative real-time RT-PCR (RT-qPCR) is currently the most accurate and sensitive method used for quantitative gene expression analysis. In order to normalize the resulting quantitative data, reference genes with constant expression during the experimental procedures are needed. Results: Partial sequences of the commonly used reference genes actin (ACT), α1-tubulin (TUB), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), elongation factor 1 alpha (EF1A), ribosomal protein S18 (RPS18) and polyubiquitin C (UBI) from Delphacodes kuscheli, a planthopper capable of persistently transmitting the plant fijivirus Mal de Río Cuarto virus (MRCV), were isolated for the first time. Specific RT-qPCR primers were designed and the expression stability of these genes was assayed in MRCV-infective and naïve planthoppers using geNorm, Normfinder and BestKeeper tools. The overall analysis showed that UBI, followed by 18S and ACT, are the most suitable genes as internal controls for quantitative gene expression studies in MRCV-infective planthoppers, while TUB and EF1A are the most variable ones. Moreover, EF1A was upregulated by MRCV infection. Conclusions: A RT-qPCR platform for gene expression analysis in the MRCV-infected planthopper vector Delphacodes kuscheli was developed. Our work is the first report on reference gene selection in virus-infected insects, and might serve as a precedent for future gene expression studies on MRCV and other virus-planthopper pathosystems. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | BioMed Central | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | Virology Journal 8 : 308 (Diciembre 2011) | es_AR |
dc.subject | Tomato Spotted Wilt Virus | eng |
dc.subject | Virus del Bronceado del Tomate | es_AR |
dc.subject | Rice Stripe Virus | eng |
dc.subject | Rice Black-streaked Dwarf Virus | eng |
dc.subject | Rice Grassy Stunt Tenuivirus | eng |
dc.subject | Gene Expression | eng |
dc.subject | Expresión Génica | es_AR |
dc.subject | Quantitative Polymerase Chain Reaction | eng |
dc.subject | Reacción en Cadena de Polimerasa Cuantitativa | es_AR |
dc.subject.other | Reference Gene Selection | eng |
dc.subject.other | Selección de Genes de Referencia | es_AR |
dc.title | Reference gene selection for gene expression studies using RT-qPCR in virus-infected planthoppers | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | Instituto de Biotecnología | es_AR |
dc.description.fil | Fil: Maroniche, Guillermo Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina | es_AR |
dc.description.fil | Fil: Sagadin, Monica Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fitopatología y Fisiología Vegetal (IFFIVE); Argentina | es_AR |
dc.description.fil | Fil: Mongelli, Vanesa Claudia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina | es_AR |
dc.description.fil | Fil: Truol, Graciela Ana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fitopatología y Fisiología Vegetal (IFFIVE); Argentina | es_AR |
dc.description.fil | Fil: Del Vas, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina | es_AR |
dc.subtype | cientifico |
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