Author: Hily, Jean-Michel; Komar, Véronique; Poulicard, Nils; Velt, Amandine; Renault, Lauriane; Mustin, Pierre; Vigne, Emmanuelle; Spilmont, Anne-Sophie; Lemaire, Olivier
Title: Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool Cord-id: te6eo4t0 Document date: 2021_8_26
ID: te6eo4t0
Snippet: 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
Document: 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.
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