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Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet

Rhizomania is a grave disease affecting sugar beet (Beta vulgaris L.). It is caused by the Beet Necrotic Yellow Vein Virus (BNYVV), an RNA virus transmitted by the plasmodiophorid vector Polymyxa betae. Genetic resistance to the virus has been accomplished mostly using phenotype-genotype association...

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Autores principales: Chiodi, Claudia, Concheri, Giuseppe, Squartini, Andrea, Ravi, Samathmika, Broccanello, Chiara, Moro, Matteo, Stevanato, Piergiorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976688/
https://www.ncbi.nlm.nih.gov/pubmed/33758773
http://dx.doi.org/10.1007/s13337-021-00674-7
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author Chiodi, Claudia
Concheri, Giuseppe
Squartini, Andrea
Ravi, Samathmika
Broccanello, Chiara
Moro, Matteo
Stevanato, Piergiorgio
author_facet Chiodi, Claudia
Concheri, Giuseppe
Squartini, Andrea
Ravi, Samathmika
Broccanello, Chiara
Moro, Matteo
Stevanato, Piergiorgio
author_sort Chiodi, Claudia
collection PubMed
description Rhizomania is a grave disease affecting sugar beet (Beta vulgaris L.). It is caused by the Beet Necrotic Yellow Vein Virus (BNYVV), an RNA virus transmitted by the plasmodiophorid vector Polymyxa betae. Genetic resistance to the virus has been accomplished mostly using phenotype-genotype association studies. As yet, the most convenient method to ascertain plant resistance has been the quantification of viral titer in roots through the ELISA test. This method is particularly time-consuming and clashes with the necessities of modern plant breeding. Here, we propose an alternative and successful phenotyping method based on the automatic extraction of the viral RNA from sugar beet roots and its relative and absolute quantification by quantitative real-time PCR (qRT-PCR) and digital PCR (dPCR), respectively. Such a method enables an improved standardization of the study, as well as an accurate quantification of the virus also in those samples presenting low virus titer, with respect to the ELISA test. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-021-00674-7.
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spelling pubmed-79766882021-03-19 Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet Chiodi, Claudia Concheri, Giuseppe Squartini, Andrea Ravi, Samathmika Broccanello, Chiara Moro, Matteo Stevanato, Piergiorgio Virusdisease Short Communication Rhizomania is a grave disease affecting sugar beet (Beta vulgaris L.). It is caused by the Beet Necrotic Yellow Vein Virus (BNYVV), an RNA virus transmitted by the plasmodiophorid vector Polymyxa betae. Genetic resistance to the virus has been accomplished mostly using phenotype-genotype association studies. As yet, the most convenient method to ascertain plant resistance has been the quantification of viral titer in roots through the ELISA test. This method is particularly time-consuming and clashes with the necessities of modern plant breeding. Here, we propose an alternative and successful phenotyping method based on the automatic extraction of the viral RNA from sugar beet roots and its relative and absolute quantification by quantitative real-time PCR (qRT-PCR) and digital PCR (dPCR), respectively. Such a method enables an improved standardization of the study, as well as an accurate quantification of the virus also in those samples presenting low virus titer, with respect to the ELISA test. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-021-00674-7. Springer India 2021-03-19 2021-03 /pmc/articles/PMC7976688/ /pubmed/33758773 http://dx.doi.org/10.1007/s13337-021-00674-7 Text en © Indian Virological Society 2021
spellingShingle Short Communication
Chiodi, Claudia
Concheri, Giuseppe
Squartini, Andrea
Ravi, Samathmika
Broccanello, Chiara
Moro, Matteo
Stevanato, Piergiorgio
Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title_full Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title_fullStr Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title_full_unstemmed Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title_short Quantification of rhizomania virus by automated RNA isolation and PCR based methods in sugar beet
title_sort quantification of rhizomania virus by automated rna isolation and pcr based methods in sugar beet
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976688/
https://www.ncbi.nlm.nih.gov/pubmed/33758773
http://dx.doi.org/10.1007/s13337-021-00674-7
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