Temporal Dispersal Patterns of Phaeomoniella chlamydospora, Causal Agent of Petri Disease and Esca, in Vineyards.
Identifieur interne : 000022 ( Main/Exploration ); précédent : 000021; suivant : 000023Temporal Dispersal Patterns of Phaeomoniella chlamydospora, Causal Agent of Petri Disease and Esca, in Vineyards.
Auteurs : Elisa González-Domínguez [Italie] ; Carmen Berlanas [Espagne] ; David Gramaje [Espagne] ; Josep Armengol [Espagne] ; Vittorio Rossi [Italie] ; M Nica Berbegal [Espagne]Source :
- Phytopathology [ 0031-949X ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- MESH :
- geographic : Spain.
- Ascomycota, Farms, Plant Diseases, Vitis.
Abstract
Although the fungus Phaeomoniella chlamydospora is the most commonly detected causal agent of Petri disease and esca, two important fungal grapevine trunk diseases, little is known about the dispersal patterns of P. chlamydospora inoculum. In this work, we studied the dispersal of P. chlamydospora airborne inoculum from 2016 to 2018 in two viticultural areas of eastern (Ontinyent) and northern (Logroño) Spain. The vineyards were monitored weekly from November to April using microscope slide traps, and P. chlamydospora was detected and quantified by a specific real-time quantitative (qPCR) method set up in this work. The method was found to be sensitive, and a good correlation was observed between numbers of P. chlamydospora conidia (counted by microscope) and DNA copy numbers (quantified by qPCR). We consistently detected DNA of P. chlamydospora at both locations and in all seasons but in different quantities. In most cases, DNA was first detected in the last half of November, and most of the DNA was detected from December to early April. When rain was used as a predictor of P. chlamydospora DNA detection in traps, false-negative detections were observed, but these involved only 4% of the total. The dispersal pattern of P. chlamydospora DNA over time was best described (R2 = 0.765 and concordance correlation coefficient = 0.870) by a Gompertz equation, with time expressed as hydrothermal time (a physiological time accounting for the effects of temperature and rain). This equation could be used to predict periods with a high risk of dispersal of P. chlamydospora.
DOI: 10.1094/PHYTO-10-19-0400-R
PubMed: 32129711
Affiliations:
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LO-20 Salida 13, Finca La Grajera, 26071 Logroño, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de la Rioja-Gobierno de La Rioja, Ctra. LO-20 Salida 13, Finca La Grajera, 26071 Logroño</wicri:regionArea><placeName><region nuts="2" type="communauté">La Rioja</region></placeName></affiliation></author><author><name sortKey="Gramaje, David" sort="Gramaje, David" uniqKey="Gramaje D" first="David" last="Gramaje">David Gramaje</name><affiliation wicri:level="2"><nlm:affiliation>Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de la Rioja-Gobierno de La Rioja, Ctra. LO-20 Salida 13, Finca La Grajera, 26071 Logroño, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de la Rioja-Gobierno de La Rioja, Ctra. LO-20 Salida 13, Finca La Grajera, 26071 Logroño</wicri:regionArea><placeName><region nuts="2" type="communauté">La Rioja</region></placeName></affiliation></author><author><name sortKey="Armengol, Josep" sort="Armengol, Josep" uniqKey="Armengol J" first="Josep" last="Armengol">Josep Armengol</name><affiliation wicri:level="2"><nlm:affiliation>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia</wicri:regionArea><placeName><region nuts="2" type="communauté">Communauté valencienne</region></placeName></affiliation></author><author><name sortKey="Rossi, Vittorio" sort="Rossi, Vittorio" uniqKey="Rossi V" first="Vittorio" last="Rossi">Vittorio Rossi</name><affiliation wicri:level="1"><nlm:affiliation>Department of Sustainable Crop Production (DIPROVES), Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.</nlm:affiliation><country xml:lang="fr">Italie</country><wicri:regionArea>Department of Sustainable Crop Production (DIPROVES), Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza</wicri:regionArea><wicri:noRegion>29122 Piacenza</wicri:noRegion></affiliation></author><author><name sortKey="Berbegal, M Nica" sort="Berbegal, M Nica" uniqKey="Berbegal M" first="M Nica" last="Berbegal">M Nica Berbegal</name><affiliation wicri:level="2"><nlm:affiliation>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia</wicri:regionArea><placeName><region nuts="2" type="communauté">Communauté valencienne</region></placeName></affiliation></author></analytic><series><title level="j">Phytopathology</title><idno type="ISSN">0031-949X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ascomycota (MeSH)</term><term>Farms (MeSH)</term><term>Plant Diseases (MeSH)</term><term>Spain (MeSH)</term><term>Vitis (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Ascomycota (MeSH)</term><term>Espagne (MeSH)</term><term>Fermes (MeSH)</term><term>Maladies des plantes (MeSH)</term><term>Vitis (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Spain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Ascomycota</term><term>Farms</term><term>Plant Diseases</term><term>Vitis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Ascomycota</term><term>Espagne</term><term>Fermes</term><term>Maladies des plantes</term><term>Vitis</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Although the fungus <i>Phaeomoniella chlamydospora</i> is the most commonly detected causal agent of Petri disease and esca, two important fungal grapevine trunk diseases, little is known about the dispersal patterns of <i>P. chlamydospora</i> inoculum. In this work, we studied the dispersal of <i>P. chlamydospora</i> airborne inoculum from 2016 to 2018 in two viticultural areas of eastern (Ontinyent) and northern (Logroño) Spain. The vineyards were monitored weekly from November to April using microscope slide traps, and <i>P. chlamydospora</i> was detected and quantified by a specific real-time quantitative (qPCR) method set up in this work. The method was found to be sensitive, and a good correlation was observed between numbers of <i>P. chlamydospora</i> conidia (counted by microscope) and DNA copy numbers (quantified by qPCR). We consistently detected DNA of <i>P. chlamydospora</i> at both locations and in all seasons but in different quantities. In most cases, DNA was first detected in the last half of November, and most of the DNA was detected from December to early April. When rain was used as a predictor of <i>P. chlamydospora</i> DNA detection in traps, false-negative detections were observed, but these involved only 4% of the total. The dispersal pattern of <i>P. chlamydospora</i> DNA over time was best described (<i>R</i><sup>2</sup> = 0.765 and concordance correlation coefficient = 0.870) by a Gompertz equation, with time expressed as hydrothermal time (a physiological time accounting for the effects of temperature and rain). This equation could be used to predict periods with a high risk of dispersal of <i>P. chlamydospora</i>.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">32129711</PMID><DateCompleted><Year>2020</Year><Month>06</Month><Day>05</Day></DateCompleted><DateRevised><Year>2020</Year><Month>06</Month><Day>05</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0031-949X</ISSN><JournalIssue CitedMedium="Print"><Volume>110</Volume><Issue>6</Issue><PubDate><Year>2020</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Phytopathology</Title><ISOAbbreviation>Phytopathology</ISOAbbreviation></Journal><ArticleTitle>Temporal Dispersal Patterns of <i>Phaeomoniella chlamydospora</i>, Causal Agent of Petri Disease and Esca, in Vineyards.</ArticleTitle><Pagination><MedlinePgn>1216-1225</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1094/PHYTO-10-19-0400-R</ELocationID><Abstract><AbstractText>Although the fungus <i>Phaeomoniella chlamydospora</i> is the most commonly detected causal agent of Petri disease and esca, two important fungal grapevine trunk diseases, little is known about the dispersal patterns of <i>P. chlamydospora</i> inoculum. In this work, we studied the dispersal of <i>P. chlamydospora</i> airborne inoculum from 2016 to 2018 in two viticultural areas of eastern (Ontinyent) and northern (Logroño) Spain. The vineyards were monitored weekly from November to April using microscope slide traps, and <i>P. chlamydospora</i> was detected and quantified by a specific real-time quantitative (qPCR) method set up in this work. The method was found to be sensitive, and a good correlation was observed between numbers of <i>P. chlamydospora</i> conidia (counted by microscope) and DNA copy numbers (quantified by qPCR). We consistently detected DNA of <i>P. chlamydospora</i> at both locations and in all seasons but in different quantities. In most cases, DNA was first detected in the last half of November, and most of the DNA was detected from December to early April. When rain was used as a predictor of <i>P. chlamydospora</i> DNA detection in traps, false-negative detections were observed, but these involved only 4% of the total. The dispersal pattern of <i>P. chlamydospora</i> DNA over time was best described (<i>R</i><sup>2</sup> = 0.765 and concordance correlation coefficient = 0.870) by a Gompertz equation, with time expressed as hydrothermal time (a physiological time accounting for the effects of temperature and rain). This equation could be used to predict periods with a high risk of dispersal of <i>P. chlamydospora</i>.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>González-Domínguez</LastName><ForeName>Elisa</ForeName><Initials>E</Initials><Identifier Source="ORCID">http://orcid.org/0000-0001-6598-0204</Identifier><AffiliationInfo><Affiliation>Horta srl., Via Egidio Gorra 55, 29122 Piacenza, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Berlanas</LastName><ForeName>Carmen</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de la Rioja-Gobierno de La Rioja, Ctra. LO-20 Salida 13, Finca La Grajera, 26071 Logroño, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gramaje</LastName><ForeName>David</ForeName><Initials>D</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-1755-3413</Identifier><AffiliationInfo><Affiliation>Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas-Universidad de la Rioja-Gobierno de La Rioja, Ctra. LO-20 Salida 13, Finca La Grajera, 26071 Logroño, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Armengol</LastName><ForeName>Josep</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rossi</LastName><ForeName>Vittorio</ForeName><Initials>V</Initials><Identifier Source="ORCID">http://orcid.org/0000-0003-4090-6117</Identifier><AffiliationInfo><Affiliation>Department of Sustainable Crop Production (DIPROVES), Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Berbegal</LastName><ForeName>Mónica</ForeName><Initials>M</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-5773-3104</Identifier><AffiliationInfo><Affiliation>Instituto Agroforestal Mediterráneo, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>04</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Phytopathology</MedlineTA><NlmUniqueID>9427222</NlmUniqueID><ISSNLinking>0031-949X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001203" MajorTopicYN="Y">Ascomycota</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000072480" MajorTopicYN="N">Farms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D027843" MajorTopicYN="Y">Vitis</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Vitis vinifera</Keyword><Keyword MajorTopicYN="N">ecology and epidemiology</Keyword><Keyword MajorTopicYN="N">grapevine trunk diseases</Keyword><Keyword MajorTopicYN="N">hydrothermal time</Keyword><Keyword MajorTopicYN="N">mycology</Keyword><Keyword MajorTopicYN="N">real-time quantitative PCR</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>6</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32129711</ArticleId><ArticleId IdType="doi">10.1094/PHYTO-10-19-0400-R</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li><li>Italie</li></country><region><li>Communauté valencienne</li><li>La Rioja</li></region></list><tree><country name="Italie"><noRegion><name sortKey="Gonzalez Dominguez, Elisa" sort="Gonzalez Dominguez, Elisa" uniqKey="Gonzalez Dominguez E" first="Elisa" last="González-Domínguez">Elisa González-Domínguez</name></noRegion><name sortKey="Rossi, Vittorio" sort="Rossi, Vittorio" uniqKey="Rossi V" first="Vittorio" last="Rossi">Vittorio Rossi</name></country><country name="Espagne"><region name="La Rioja"><name sortKey="Berlanas, Carmen" sort="Berlanas, Carmen" uniqKey="Berlanas C" first="Carmen" last="Berlanas">Carmen Berlanas</name></region><name sortKey="Armengol, Josep" sort="Armengol, Josep" uniqKey="Armengol J" first="Josep" last="Armengol">Josep Armengol</name><name sortKey="Berbegal, M Nica" sort="Berbegal, M Nica" uniqKey="Berbegal M" first="M Nica" last="Berbegal">M Nica Berbegal</name><name sortKey="Gramaje, David" sort="Gramaje, David" uniqKey="Gramaje D" first="David" last="Gramaje">David Gramaje</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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