Networks in plant epidemiology: from genes to landscapes, countries, and continents.
Identifieur interne : 001696 ( Main/Exploration ); précédent : 001695; suivant : 001697Networks in plant epidemiology: from genes to landscapes, countries, and continents.
Auteurs : Mathieu Moslonka-Lefebvre [France] ; Ann Finley ; Ilaria Dorigatti ; Katharina Dehnen-Schmutz ; Tom Harwood ; Michael J. Jeger ; Xiangming Xu ; Ottmar Holdenrieder ; Marco PautassoSource :
- Phytopathology [ 0031-949X ] ; 2011.
Descripteurs français
- KwdFr :
- Activités humaines (MeSH), Agriculture (MeSH), Anatomopathologie moléculaire (méthodes), Commerce (MeSH), Démographie (MeSH), Gènes de plante (MeSH), Humains (MeSH), Maladies des plantes (statistiques et données numériques), Maladies des plantes (étiologie), Modèles biologiques (MeSH), Phytophthora (pathogénicité), Plantes (parasitologie), Réseaux de régulation génique (MeSH), Simulation numérique (MeSH), Transmission de maladie infectieuse (statistiques et données numériques), Épidémies (statistiques et données numériques).
- MESH :
- méthodes : Anatomopathologie moléculaire.
- parasitologie : Plantes.
- pathogénicité : Phytophthora.
- statistiques et données numériques : Maladies des plantes, Transmission de maladie infectieuse, Épidémies.
- étiologie : Maladies des plantes.
- Activités humaines, Agriculture, Commerce, Démographie, Gènes de plante, Humains, Modèles biologiques, Réseaux de régulation génique, Simulation numérique.
English descriptors
- KwdEn :
- Agriculture (MeSH), Commerce (MeSH), Computer Simulation (MeSH), Demography (MeSH), Disease Transmission, Infectious (statistics & numerical data), Epidemics (statistics & numerical data), Gene Regulatory Networks (MeSH), Genes, Plant (MeSH), Human Activities (MeSH), Humans (MeSH), Models, Biological (MeSH), Pathology, Molecular (methods), Phytophthora (pathogenicity), Plant Diseases (etiology), Plant Diseases (statistics & numerical data), Plants (parasitology).
- MESH :
- etiology : Plant Diseases.
- methods : Pathology, Molecular.
- parasitology : Plants.
- pathogenicity : Phytophthora.
- statistics & numerical data : Disease Transmission, Infectious, Epidemics, Plant Diseases.
- Agriculture, Commerce, Computer Simulation, Demography, Gene Regulatory Networks, Genes, Plant, Human Activities, Humans, Models, Biological.
Abstract
There is increasing use of networks in ecology and epidemiology, but still relatively little application in phytopathology. Networks are sets of elements (nodes) connected in various ways by links (edges). Network analysis aims to understand system dynamics and outcomes in relation to network characteristics. Many existing natural, social, and technological networks have been shown to have small-world (local connectivity with short-cuts) and scale-free (presence of super-connected nodes) properties. In this review, we discuss how network concepts can be applied in plant pathology from the molecular to the landscape and global level. Wherever disease spread occurs not just because of passive/natural dispersion but also due to artificial movements, it makes sense to superimpose realistic models of the trade in plants on spatially explicit models of epidemic development. We provide an example of an emerging pathosystem (Phytophthora ramorum) where a theoretical network approach has proven particularly fruitful in analyzing the spread of disease in the UK plant trade. These studies can help in assessing the future threat posed by similar emerging pathogens. Networks have much potential in plant epidemiology and should become part of the standard curriculum.
DOI: 10.1094/PHYTO-07-10-0192
PubMed: 21062110
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Networks are sets of elements (nodes) connected in various ways by links (edges). Network analysis aims to understand system dynamics and outcomes in relation to network characteristics. Many existing natural, social, and technological networks have been shown to have small-world (local connectivity with short-cuts) and scale-free (presence of super-connected nodes) properties. In this review, we discuss how network concepts can be applied in plant pathology from the molecular to the landscape and global level. Wherever disease spread occurs not just because of passive/natural dispersion but also due to artificial movements, it makes sense to superimpose realistic models of the trade in plants on spatially explicit models of epidemic development. We provide an example of an emerging pathosystem (Phytophthora ramorum) where a theoretical network approach has proven particularly fruitful in analyzing the spread of disease in the UK plant trade. These studies can help in assessing the future threat posed by similar emerging pathogens. Networks have much potential in plant epidemiology and should become part of the standard curriculum.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21062110</PMID><DateCompleted><Year>2012</Year><Month>01</Month><Day>24</Day></DateCompleted><DateRevised><Year>2011</Year><Month>03</Month><Day>11</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0031-949X</ISSN><JournalIssue CitedMedium="Print"><Volume>101</Volume><Issue>4</Issue><PubDate><Year>2011</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Phytopathology</Title><ISOAbbreviation>Phytopathology</ISOAbbreviation></Journal><ArticleTitle>Networks in plant epidemiology: from genes to landscapes, countries, and continents.</ArticleTitle><Pagination><MedlinePgn>392-403</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1094/PHYTO-07-10-0192</ELocationID><Abstract><AbstractText>There is increasing use of networks in ecology and epidemiology, but still relatively little application in phytopathology. Networks are sets of elements (nodes) connected in various ways by links (edges). Network analysis aims to understand system dynamics and outcomes in relation to network characteristics. Many existing natural, social, and technological networks have been shown to have small-world (local connectivity with short-cuts) and scale-free (presence of super-connected nodes) properties. In this review, we discuss how network concepts can be applied in plant pathology from the molecular to the landscape and global level. Wherever disease spread occurs not just because of passive/natural dispersion but also due to artificial movements, it makes sense to superimpose realistic models of the trade in plants on spatially explicit models of epidemic development. We provide an example of an emerging pathosystem (Phytophthora ramorum) where a theoretical network approach has proven particularly fruitful in analyzing the spread of disease in the UK plant trade. These studies can help in assessing the future threat posed by similar emerging pathogens. Networks have much potential in plant epidemiology and should become part of the standard curriculum.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Moslonka-Lefebvre</LastName><ForeName>Mathieu</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>AgroParisTech, ENGREF, 19 avenue du Maine, 75732 Paris Cedex 15, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Finley</LastName><ForeName>Ann</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Dorigatti</LastName><ForeName>Ilaria</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Dehnen-Schmutz</LastName><ForeName>Katharina</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Harwood</LastName><ForeName>Tom</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Jeger</LastName><ForeName>Michael J</ForeName><Initials>MJ</Initials></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Xiangming</ForeName><Initials>X</Initials></Author><Author ValidYN="Y"><LastName>Holdenrieder</LastName><ForeName>Ottmar</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Pautasso</LastName><ForeName>Marco</ForeName><Initials>M</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Phytopathology</MedlineTA><NlmUniqueID>9427222</NlmUniqueID><ISSNLinking>0031-949X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="N">Agriculture</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003132" MajorTopicYN="N">Commerce</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003710" MajorTopicYN="N">Demography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018562" MajorTopicYN="N">Disease Transmission, Infectious</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058872" MajorTopicYN="N">Epidemics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D053263" MajorTopicYN="N">Gene Regulatory Networks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006802" MajorTopicYN="N">Human Activities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057089" MajorTopicYN="N">Pathology, Molecular</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010838" MajorTopicYN="N">Phytophthora</DescriptorName><QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010944" MajorTopicYN="N">Plants</DescriptorName><QualifierName UI="Q000469" MajorTopicYN="N">parasitology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>11</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>11</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>1</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">21062110</ArticleId><ArticleId IdType="doi">10.1094/PHYTO-07-10-0192</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Paris</li></settlement></list><tree><noCountry><name sortKey="Dehnen Schmutz, Katharina" sort="Dehnen Schmutz, Katharina" uniqKey="Dehnen Schmutz K" first="Katharina" last="Dehnen-Schmutz">Katharina Dehnen-Schmutz</name><name sortKey="Dorigatti, Ilaria" sort="Dorigatti, Ilaria" uniqKey="Dorigatti I" first="Ilaria" last="Dorigatti">Ilaria Dorigatti</name><name sortKey="Finley, Ann" sort="Finley, Ann" uniqKey="Finley A" first="Ann" last="Finley">Ann Finley</name><name sortKey="Harwood, Tom" sort="Harwood, Tom" uniqKey="Harwood T" first="Tom" last="Harwood">Tom Harwood</name><name sortKey="Holdenrieder, Ottmar" sort="Holdenrieder, Ottmar" uniqKey="Holdenrieder O" first="Ottmar" last="Holdenrieder">Ottmar Holdenrieder</name><name sortKey="Jeger, Michael J" sort="Jeger, Michael J" uniqKey="Jeger M" first="Michael J" last="Jeger">Michael J. Jeger</name><name sortKey="Pautasso, Marco" sort="Pautasso, Marco" uniqKey="Pautasso M" first="Marco" last="Pautasso">Marco Pautasso</name><name sortKey="Xu, Xiangming" sort="Xu, Xiangming" uniqKey="Xu X" first="Xiangming" last="Xu">Xiangming Xu</name></noCountry><country name="France"><region name="Île-de-France"><name sortKey="Moslonka Lefebvre, Mathieu" sort="Moslonka Lefebvre, Mathieu" uniqKey="Moslonka Lefebvre M" first="Mathieu" last="Moslonka-Lefebvre">Mathieu Moslonka-Lefebvre</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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