Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Hily JM

PROVIDER: S-EPMC8390104 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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

Hily Jean-Michel JM Komar Véronique V Poulicard Nils N Velt Amandine A Renault Lauriane L Mustin Pierre P Vigne Emmanuelle E Spilmont Anne-Sophie AS Lemaire Olivier O

European journal of plant pathology 20210826 3

Since its identification in 2003, grapevine Pinot gris virus (GPGV, <i>Trichovirus</i>) 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 <i>in-silico</i> 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) ...[more]

PMID: 34465944

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Project description:BackgroundGrapevine Pinot gris virus (GPGV) infects grapevines worldwide and causes symptoms such as chlorotic mottling and deformations on leaves, stunted shoots and short panicles, or none of these symptoms if it appears as latent infection. So far, the consequences of GPGV infections for winegrowers are difficult to assess since important information such as plant performance at different GPGV infection levels and symptom expression are not fully clarified.MethodsIn order to investigate the course of GPGV spread, annual visual evaluations and ELISA tests were conducted over 3-4 consecutive years in four GPGV-infected vineyards in southern Germany: GEM, HEC, NIM, and REI. The program PATCHY was used to analyze spatial disease patterns. Sanger sequencing was used to determine virus isolates in vines at different GPGV infection levels, to test their respective influence on symptom expression. Yield and GrapeScan (FTIR) analyses were conducted to test the impact of different GPGV infection levels and isolates on fruit quantity and quality.ResultsGPGV infections significantly increased in all four vineyards (GEM 22-32%, HEC 50-99%, NIM 83-90%, REI 56-76%) with significant spreading patterns across and along rows. Specific symptom progression patterns were not observed. According to our results, the virus isolate has an influence on whether symptoms develop during a GPGV infection. While yield analyses revealed that yield losses only occur in symptomatic vines and range from 13 to 96% depending on the severity of symptoms, latent infections have no impact on grape production. No relevant effects of GPGV infections on must quality were observed.ConclusionsSecondary spread of GPGV was observed in all vineyards monitored, indicating vector-borne transmission that is likely to be accelerated by human viticultural management. GPGV should be further monitored to prevent the accumulation of detrimental symptomatic isolates. The results of this study can be used to assess the risk of GPGV to viticulture and should be considered when developing management strategies against the virus.

Dataset Information

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

Publications

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

Similar Datasets

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