Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool

被引:0
作者
Jean-Michel Hily
Véronique Komar
Nils Poulicard
Amandine Velt
Lauriane Renault
Pierre Mustin
Emmanuelle Vigne
Anne-Sophie Spilmont
Olivier Lemaire
机构
[1] IFV,PHIM Plant Health Institute
[2] Université de Strasbourg,undefined
[3] INRAE,undefined
[4] Univ Montpellier,undefined
[5] IRD,undefined
[6] CIRAD,undefined
[7] INRAE,undefined
[8] Institut Agro,undefined
来源
European Journal of Plant Pathology | 2021年 / 161卷
关键词
Grapevine; GPGV; Detection; Datamining;
D O I
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中图分类号
学科分类号
摘要
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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页码:735 / 742
页数:7
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