Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step...
- Autores
- Bejerman, Nicolas Esteban; Zanini, Andrea Alejandra; Rodriguez Pardina, Patricia; Di Feo, Liliana del Valle
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión aceptada
- Descripción
- 454-pyrosequencing was applied as a tool to identify etiological agents involved in the symptoms observed in a sweet potato sample from Argentina. RNA was purified from symptomatic material and sequenced using a Roche 454 GS-FLX+. BLAST analysis of the viral reads identified the presence of Sweet potato feathery mottle virus (SPFMV)-O and SPFMV-RC strains and Sweet potato virus C (SPVC). For SPFMV-O and SPFMV–RC, 10 878 and 10 812 nucleotides, respectively, were sequenced, whereas a sequence of 10 793 nucleotides was obtained for SPVC. Pairwise comparison of polyprotein nucleotide sequences of O and RC Argentinian isolates (Arg) showed 99% and 98.4% sequence identities with SPFMV-O and SPFMV-RC-M2-41, respectively, whereas SPVC-Arg showed 94.2%, 92.9% and 94.6% sequence identities with SPVC-Il, SPVC-C1 and SPVC-Bungo, respectively. These results allowed us to develop a one-step multiplex reverse transcription-polymerase chain reaction assay (mRT-PCR) for the simultaneous detection and differentiation of SPFMV-O-Arg and SPFMV-RC-Arg and SPVC-Arg. Three specific forward primers unique to each virus and one reverse primer based on a region conserved in all three viruses were designed and used in the assay. These primers were further evaluated using field samples collected from four provinces of Argentina. The results showed that SPVC was the most common virus in samples analysed. This study shows the usefulness of deep sequencing not only to rapidly identify mixed infections between SPFMV-O and SPFMV-RC and SPVC, but also to develop a reliable mRT-PCR assay for detection of these sweet potato pathogens, which cannot be discriminated by serological techniques.
Inst. Patología Vegetal
Fil: Bejerman, Nicolas Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Zanini, Andrea Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Rodriguez Pardina, Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Di Feo, Liliana del Valle. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina - Fuente
- Journal of phytophatology 164 (6) : 386–394. (June 2016)
- Materia
-
Virus de las Plantas
Batata
PCR
Genética
Plant Viruses
Sweet Potatoes
Genetics - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/1249
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Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous DetectionBejerman, Nicolas EstebanZanini, Andrea AlejandraRodriguez Pardina, PatriciaDi Feo, Liliana del ValleVirus de las PlantasBatataPCRGenéticaPlant VirusesSweet PotatoesGenetics454-pyrosequencing was applied as a tool to identify etiological agents involved in the symptoms observed in a sweet potato sample from Argentina. RNA was purified from symptomatic material and sequenced using a Roche 454 GS-FLX+. BLAST analysis of the viral reads identified the presence of Sweet potato feathery mottle virus (SPFMV)-O and SPFMV-RC strains and Sweet potato virus C (SPVC). For SPFMV-O and SPFMV–RC, 10 878 and 10 812 nucleotides, respectively, were sequenced, whereas a sequence of 10 793 nucleotides was obtained for SPVC. Pairwise comparison of polyprotein nucleotide sequences of O and RC Argentinian isolates (Arg) showed 99% and 98.4% sequence identities with SPFMV-O and SPFMV-RC-M2-41, respectively, whereas SPVC-Arg showed 94.2%, 92.9% and 94.6% sequence identities with SPVC-Il, SPVC-C1 and SPVC-Bungo, respectively. These results allowed us to develop a one-step multiplex reverse transcription-polymerase chain reaction assay (mRT-PCR) for the simultaneous detection and differentiation of SPFMV-O-Arg and SPFMV-RC-Arg and SPVC-Arg. Three specific forward primers unique to each virus and one reverse primer based on a region conserved in all three viruses were designed and used in the assay. These primers were further evaluated using field samples collected from four provinces of Argentina. The results showed that SPVC was the most common virus in samples analysed. This study shows the usefulness of deep sequencing not only to rapidly identify mixed infections between SPFMV-O and SPFMV-RC and SPVC, but also to develop a reliable mRT-PCR assay for detection of these sweet potato pathogens, which cannot be discriminated by serological techniques.Inst. Patología VegetalFil: Bejerman, Nicolas Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Zanini, Andrea Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Rodriguez Pardina, Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Di Feo, Liliana del Valle. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina2017-09-19T12:04:02Z2017-09-19T12:04:02Z2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1249http://onlinelibrary.wiley.com/doi/10.1111/jph.12466/full1439-0434 (Online)DOI: 10.1111/jph.12466Journal of phytophatology 164 (6) : 386–394. (June 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina (nation)info:eu-repo/semantics/restrictedAccess2025-09-11T10:22:10Zoai:localhost:20.500.12123/1249instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-11 10:22:10.989INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
title |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
spellingShingle |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection Bejerman, Nicolas Esteban Virus de las Plantas Batata PCR Genética Plant Viruses Sweet Potatoes Genetics |
title_short |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
title_full |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
title_fullStr |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
title_full_unstemmed |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
title_sort |
Use of 454-Pyrosequencing for the characterization of Sweet potato virus C and Sweet Potato Feathery Mottle virus Isolates fron Argentina and Development of a Multiplex one - step RT-PCR for Their Simultaneous Detection |
dc.creator.none.fl_str_mv |
Bejerman, Nicolas Esteban Zanini, Andrea Alejandra Rodriguez Pardina, Patricia Di Feo, Liliana del Valle |
author |
Bejerman, Nicolas Esteban |
author_facet |
Bejerman, Nicolas Esteban Zanini, Andrea Alejandra Rodriguez Pardina, Patricia Di Feo, Liliana del Valle |
author_role |
author |
author2 |
Zanini, Andrea Alejandra Rodriguez Pardina, Patricia Di Feo, Liliana del Valle |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Virus de las Plantas Batata PCR Genética Plant Viruses Sweet Potatoes Genetics |
topic |
Virus de las Plantas Batata PCR Genética Plant Viruses Sweet Potatoes Genetics |
dc.description.none.fl_txt_mv |
454-pyrosequencing was applied as a tool to identify etiological agents involved in the symptoms observed in a sweet potato sample from Argentina. RNA was purified from symptomatic material and sequenced using a Roche 454 GS-FLX+. BLAST analysis of the viral reads identified the presence of Sweet potato feathery mottle virus (SPFMV)-O and SPFMV-RC strains and Sweet potato virus C (SPVC). For SPFMV-O and SPFMV–RC, 10 878 and 10 812 nucleotides, respectively, were sequenced, whereas a sequence of 10 793 nucleotides was obtained for SPVC. Pairwise comparison of polyprotein nucleotide sequences of O and RC Argentinian isolates (Arg) showed 99% and 98.4% sequence identities with SPFMV-O and SPFMV-RC-M2-41, respectively, whereas SPVC-Arg showed 94.2%, 92.9% and 94.6% sequence identities with SPVC-Il, SPVC-C1 and SPVC-Bungo, respectively. These results allowed us to develop a one-step multiplex reverse transcription-polymerase chain reaction assay (mRT-PCR) for the simultaneous detection and differentiation of SPFMV-O-Arg and SPFMV-RC-Arg and SPVC-Arg. Three specific forward primers unique to each virus and one reverse primer based on a region conserved in all three viruses were designed and used in the assay. These primers were further evaluated using field samples collected from four provinces of Argentina. The results showed that SPVC was the most common virus in samples analysed. This study shows the usefulness of deep sequencing not only to rapidly identify mixed infections between SPFMV-O and SPFMV-RC and SPVC, but also to develop a reliable mRT-PCR assay for detection of these sweet potato pathogens, which cannot be discriminated by serological techniques. Inst. Patología Vegetal Fil: Bejerman, Nicolas Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Zanini, Andrea Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Rodriguez Pardina, Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina Fil: Di Feo, Liliana del Valle. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina |
description |
454-pyrosequencing was applied as a tool to identify etiological agents involved in the symptoms observed in a sweet potato sample from Argentina. RNA was purified from symptomatic material and sequenced using a Roche 454 GS-FLX+. BLAST analysis of the viral reads identified the presence of Sweet potato feathery mottle virus (SPFMV)-O and SPFMV-RC strains and Sweet potato virus C (SPVC). For SPFMV-O and SPFMV–RC, 10 878 and 10 812 nucleotides, respectively, were sequenced, whereas a sequence of 10 793 nucleotides was obtained for SPVC. Pairwise comparison of polyprotein nucleotide sequences of O and RC Argentinian isolates (Arg) showed 99% and 98.4% sequence identities with SPFMV-O and SPFMV-RC-M2-41, respectively, whereas SPVC-Arg showed 94.2%, 92.9% and 94.6% sequence identities with SPVC-Il, SPVC-C1 and SPVC-Bungo, respectively. These results allowed us to develop a one-step multiplex reverse transcription-polymerase chain reaction assay (mRT-PCR) for the simultaneous detection and differentiation of SPFMV-O-Arg and SPFMV-RC-Arg and SPVC-Arg. Three specific forward primers unique to each virus and one reverse primer based on a region conserved in all three viruses were designed and used in the assay. These primers were further evaluated using field samples collected from four provinces of Argentina. The results showed that SPVC was the most common virus in samples analysed. This study shows the usefulness of deep sequencing not only to rapidly identify mixed infections between SPFMV-O and SPFMV-RC and SPVC, but also to develop a reliable mRT-PCR assay for detection of these sweet potato pathogens, which cannot be discriminated by serological techniques. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2017-09-19T12:04:02Z 2017-09-19T12:04:02Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
acceptedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/1249 http://onlinelibrary.wiley.com/doi/10.1111/jph.12466/full 1439-0434 (Online) DOI: 10.1111/jph.12466 |
url |
http://hdl.handle.net/20.500.12123/1249 http://onlinelibrary.wiley.com/doi/10.1111/jph.12466/full |
identifier_str_mv |
1439-0434 (Online) DOI: 10.1111/jph.12466 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
eu_rights_str_mv |
restrictedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Argentina (nation) |
dc.source.none.fl_str_mv |
Journal of phytophatology 164 (6) : 386–394. (June 2016) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
collection |
INTA Digital (INTA) |
instname_str |
Instituto Nacional de Tecnología Agropecuaria |
repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
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12.993085 |