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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2021
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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. |
format | Online Article Text |
id | pubmed-7976688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
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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