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Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool
Since its identification in 2003, grapevine Pinot gris virus (GPGV, Trichovirus) has now been detected in most grape-growing countries. So far, little is known about the epidemiology of this newly emerging virus. In this work, we used datamining as a tool to monitor in-silico the sanitary status of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390104/ https://www.ncbi.nlm.nih.gov/pubmed/34465944 http://dx.doi.org/10.1007/s10658-021-02343-3 |
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author | Hily, Jean-Michel Komar, Véronique Poulicard, Nils Velt, Amandine Renault, Lauriane Mustin, Pierre Vigne, Emmanuelle Spilmont, Anne-Sophie Lemaire, Olivier |
author_facet | Hily, Jean-Michel Komar, Véronique Poulicard, Nils Velt, Amandine Renault, Lauriane Mustin, Pierre Vigne, Emmanuelle Spilmont, Anne-Sophie Lemaire, Olivier |
author_sort | Hily, Jean-Michel |
collection | PubMed |
description | Since its identification in 2003, grapevine Pinot gris virus (GPGV, Trichovirus) has now been detected in most grape-growing countries. So far, little is known about the epidemiology of this newly emerging virus. In this work, we used datamining as a tool to monitor in-silico the sanitary status of three vineyards in Italy. All data used in the study were recovered from a work that was already published and for which data were publicly available as SRA (Sequence Read Archive, NCBI) files. While incomplete, knowledge gathered from this work was still important, with evidence of differential accumulation of the virus in grapevine according to year, location, and variety-rootstock association. Additional data regarding GPGV genetic diversity were collected. Some advantages and pitfalls of datamining are discussed. |
format | Online Article Text |
id | pubmed-8390104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-83901042021-08-27 Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool Hily, Jean-Michel Komar, Véronique Poulicard, Nils Velt, Amandine Renault, Lauriane Mustin, Pierre Vigne, Emmanuelle Spilmont, Anne-Sophie Lemaire, Olivier Eur J Plant Pathol Article Since its identification in 2003, grapevine Pinot gris virus (GPGV, Trichovirus) has now been detected in most grape-growing countries. So far, little is known about the epidemiology of this newly emerging virus. In this work, we used datamining as a tool to monitor in-silico the sanitary status of three vineyards in Italy. All data used in the study were recovered from a work that was already published and for which data were publicly available as SRA (Sequence Read Archive, NCBI) files. While incomplete, knowledge gathered from this work was still important, with evidence of differential accumulation of the virus in grapevine according to year, location, and variety-rootstock association. Additional data regarding GPGV genetic diversity were collected. Some advantages and pitfalls of datamining are discussed. Springer Netherlands 2021-08-26 2021 /pmc/articles/PMC8390104/ /pubmed/34465944 http://dx.doi.org/10.1007/s10658-021-02343-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hily, Jean-Michel Komar, Véronique Poulicard, Nils Velt, Amandine Renault, Lauriane Mustin, Pierre Vigne, Emmanuelle Spilmont, Anne-Sophie Lemaire, Olivier Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title_full | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title_fullStr | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title_full_unstemmed | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title_short | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
title_sort | evidence of differential spreading events of grapevine pinot gris virus in italy using datamining as a tool |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390104/ https://www.ncbi.nlm.nih.gov/pubmed/34465944 http://dx.doi.org/10.1007/s10658-021-02343-3 |
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