Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina

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Traditional diagnostic methods are non-specific for begomovirus identification. At present molecular techniques are used, which require sophisticated equipment or complex procedures. The recombinase polymerase amplification technique (RPA) is similar to the polymerase chain reaction (PCR), sensitive...

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Autores principales: Reyna, Pablo Gastón, Rodriguez Pardina, Patricia Elsa
Formato: Artículo revista
Lenguaje:Español
Publicado: Facultad de Ciencias Agropecuarias. Área de Difusión Científica 2018
Materias:
Glycine max
Phaseolus vulgaris
amplificación mediante polimerasa recombinasa.
Recombinase Polymerase Amplification.
Acceso en línea:https://revistas.unc.edu.ar/index.php/agris/article/view/19319
Aporte de:
Revistas de la UNC de Universidad Nacional de Córdoba
id I10-R10article-19319
record_format ojs
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-10
container_title_str Revistas de la UNC
language Español
format Artículo revista
topic Glycine max
Phaseolus vulgaris
amplificación mediante polimerasa recombinasa.
Glycine max
Phaseolus vulgaris
Recombinase Polymerase Amplification.
spellingShingle Glycine max
Phaseolus vulgaris
amplificación mediante polimerasa recombinasa.
Glycine max
Phaseolus vulgaris
Recombinase Polymerase Amplification.
Reyna, Pablo Gastón
Rodriguez Pardina, Patricia Elsa
Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
topic_facet Glycine max
Phaseolus vulgaris
amplificación mediante polimerasa recombinasa.
Glycine max
Phaseolus vulgaris
Recombinase Polymerase Amplification.
author Reyna, Pablo Gastón
Rodriguez Pardina, Patricia Elsa
author_facet Reyna, Pablo Gastón
Rodriguez Pardina, Patricia Elsa
author_sort Reyna, Pablo Gastón
title Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
title_short Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
title_full Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
title_fullStr Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
title_full_unstemmed Evaluation of the RPA technique for the detection of begomoviruses present in soybean and bean crops in Argentina
title_sort evaluation of the rpa technique for the detection of begomoviruses present in soybean and bean crops in argentina
description Traditional diagnostic methods are non-specific for begomovirus identification. At present molecular techniques are used, which require sophisticated equipment or complex procedures. The recombinase polymerase amplification technique (RPA) is similar to the polymerase chain reaction (PCR), sensitive and specific, but operates at constant temperature. In order to evaluate the use of this technique for the detection of begomovirus present in soybeans and beans in Argentina, specific primers were designed. They were initially tested by PCR, using clones of the different begomoviruses detected in our country and a 371 pb band was successfully amplified. RPA was carried out using the Twist AMP ® Basic Kitto test soybean, bean and weed infected samples, as well as healthy soybean and bean controls. Two conservation methods were tested: lyophilized leaves and leaves maintained at -70 ºC; and two DNA extraction methods: CTAB and crude extract grounded in OH Na 0.5M. The reaction was incubated at 37 ºC / 30 min. and at 65 ºC / 10 min. Bands of the expected size were visualized in infected samples, and not in healthy controls. There were no differences in the results due to either method of conservation or DNA extraction. RPA technique was successfully optimized for the detection of begomoviruses infecting soybean and bean crops of Argentina.
publisher Facultad de Ciencias Agropecuarias. Área de Difusión Científica
publishDate 2018
url https://revistas.unc.edu.ar/index.php/agris/article/view/19319
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