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.

自2003年发现以来，葡萄灰比诺病毒（GPGV，Trichovirus）现已在大多数葡萄种植国被发现。到目前为止，人们对这种新出现的病毒的流行病学知之甚少。在这项工作中，我们使用数据挖掘作为一种工具来监控in-silico意大利三个葡萄园的卫生状况。研究中使用的所有数据都是从已经发表的作品中恢复的，并且这些数据作为 SRA（序列读取存档，NCBI）文件公开可用。虽然不完整，但从这项工作中收集的知识仍然很重要，有证据表明病毒在葡萄藤中的不同积累根据年份、位置和品种砧木关联。收集了有关 GPGV 遗传多样性的其他数据。讨论了数据挖掘的一些优点和缺陷。