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...
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| Veröffentlicht in: | European journal of plant pathology 2021, Vol.161 (3), p.735-742 |
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| creator | Hily, Jean-Michel Komar, Véronique Poulicard, Nils Velt, Amandine Renault, Lauriane Mustin, Pierre Vigne, Emmanuelle Spilmont, Anne-Sophie Lemaire, Olivier |
| 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. |
| doi_str_mv | 10.1007/s10658-021-02343-3 |
| format | Article |
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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.</description><identifier>ISSN: 0929-1873</identifier><identifier>EISSN: 1573-8469</identifier><identifier>DOI: 10.1007/s10658-021-02343-3</identifier><identifier>PMID: 34465944</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Ecology ; Epidemiology ; Genetic diversity ; Grapevines ; Life Sciences ; Phytopathology and phytopharmacy ; Plant Pathology ; Plant Sciences ; Vegetal Biology ; Vineyards ; Viruses ; Wines</subject><ispartof>European journal of plant pathology, 2021, Vol.161 (3), p.735-742</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021.</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-5f37065a38fb5652b06bf7b84f0de32d0da3c756104b4d7e8f22b63435ffcc003</citedby><cites>FETCH-LOGICAL-c508t-5f37065a38fb5652b06bf7b84f0de32d0da3c756104b4d7e8f22b63435ffcc003</cites><orcidid>0000-0002-3287-0786 ; 0000-0003-3969-2131 ; 0000-0001-9141-9701 ; 0000-0003-2368-839X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10658-021-02343-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10658-021-02343-3$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34465944$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-03341480$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Hily, Jean-Michel</creatorcontrib><creatorcontrib>Komar, Véronique</creatorcontrib><creatorcontrib>Poulicard, Nils</creatorcontrib><creatorcontrib>Velt, Amandine</creatorcontrib><creatorcontrib>Renault, Lauriane</creatorcontrib><creatorcontrib>Mustin, Pierre</creatorcontrib><creatorcontrib>Vigne, Emmanuelle</creatorcontrib><creatorcontrib>Spilmont, Anne-Sophie</creatorcontrib><creatorcontrib>Lemaire, Olivier</creatorcontrib><title>Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool</title><title>European journal of plant pathology</title><addtitle>Eur J Plant Pathol</addtitle><addtitle>Eur J Plant Pathol</addtitle><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. 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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.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>34465944</pmid><doi>10.1007/s10658-021-02343-3</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-3287-0786</orcidid><orcidid>https://orcid.org/0000-0003-3969-2131</orcidid><orcidid>https://orcid.org/0000-0001-9141-9701</orcidid><orcidid>https://orcid.org/0000-0003-2368-839X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | SpringerLink Journals |
| subjects | Agriculture Biomedical and Life Sciences Ecology Epidemiology Genetic diversity Grapevines Life Sciences Phytopathology and phytopharmacy Plant Pathology Plant Sciences Vegetal Biology Vineyards Viruses Wines |
| title | Evidence of differential spreading events of grapevine pinot Gris virus in Italy using datamining as a tool |
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