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Crop pathogen emergence and evolution in agro-ecological landscapes

Identifieur interne : 002327 ( Pmc/Curation ); précédent : 002326; suivant : 002328

Crop pathogen emergence and evolution in agro-ecological landscapes

Auteurs : Julien Papaïx [France, Australie] ; Jeremy J. Burdon [Australie] ; Jiasui Zhan [République populaire de Chine] ; Peter H. Thrall [Australie]

Source :

RBID : PMC:4408149

Abstract

Remnant areas hosting natural vegetation in agricultural landscapes can impact the disease epidemiology and evolutionary dynamics of crop pathogens. However, the potential consequences for crop diseases of the composition, the spatial configuration and the persistence time of the agro-ecological interface – the area where crops and remnant vegetation are in contact – have been poorly studied. Here, we develop a demographic–genetic simulation model to study how the spatial and temporal distribution of remnant wild vegetation patches embedded in an agricultural landscape can drive the emergence of a crop pathogen and its subsequent specialization on the crop host. We found that landscape structures that promoted larger pathogen populations on the wild host facilitated the emergence of a crop pathogen, but such landscape structures also reduced the potential for the pathogen population to adapt to the crop. In addition, the evolutionary trajectory of the pathogen population was determined by interactions between the factors describing the landscape structure and those describing the pathogen life histories. Our study contributes to a better understanding of how the shift of land-use patterns in agricultural landscapes might influence crop diseases to provide predictive tools to evaluate management practices.


Url:
DOI: 10.1111/eva.12251
PubMed: 25926883
PubMed Central: 4408149

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PMC:4408149

Le document en format XML

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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Evol Appl</journal-id>
<journal-id journal-id-type="iso-abbrev">Evol Appl</journal-id>
<journal-id journal-id-type="publisher-id">eva</journal-id>
<journal-title-group>
<journal-title>Evolutionary Applications</journal-title>
</journal-title-group>
<issn pub-type="ppub">1752-4571</issn>
<issn pub-type="epub">1752-4571</issn>
<publisher>
<publisher-name>BlackWell Publishing Ltd</publisher-name>
<publisher-loc>Oxford, UK</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">25926883</article-id>
<article-id pub-id-type="pmc">4408149</article-id>
<article-id pub-id-type="doi">10.1111/eva.12251</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Crop pathogen emergence and evolution in agro-ecological landscapes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Papaïx</surname>
<given-names>Julien</given-names>
</name>
<xref ref-type="aff" rid="au1">1</xref>
<xref ref-type="aff" rid="au2">2</xref>
<xref ref-type="aff" rid="au3">3</xref>
<xref ref-type="aff" rid="au4">4</xref>
<xref ref-type="corresp" rid="cor1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Burdon</surname>
<given-names>Jeremy J</given-names>
</name>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhan</surname>
<given-names>Jiasui</given-names>
</name>
<xref ref-type="aff" rid="au5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thrall</surname>
<given-names>Peter H</given-names>
</name>
<xref ref-type="aff" rid="au4">4</xref>
</contrib>
<aff id="au1">
<label>1</label>
<institution>UMR 1290 BIOGER, INRA</institution>
<addr-line>Thiverval-Grignon, France</addr-line>
</aff>
<aff id="au2">
<label>2</label>
<institution>UR 341 MIA, INRA</institution>
<addr-line>Jouy-en-Josas, France</addr-line>
</aff>
<aff id="au3">
<label>3</label>
<institution>UR 546 BioSP, INRA</institution>
<addr-line>Avignon, France</addr-line>
</aff>
<aff id="au4">
<label>4</label>
<institution>CSIRO Agriculture Flagship</institution>
<addr-line>Canberra, ACT, Australia</addr-line>
</aff>
<aff id="au5">
<label>5</label>
<institution>Fujian Key Lab of Plant Virology, Institute of Plant Virology, Fujian Agriculture and Forestry University</institution>
<addr-line>Fuzhou, China</addr-line>
</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">
<bold>Correspondence</bold>
Julien Papaïx, Inra - Unité BioSp, Domaine Saint-Paul Site Agroparc, 84914 Avignon Cedex 9, France., Tel.: +33 4 32722145;, fax: +33 4 32722182;, e-mail:
<email>julien.papaix@paca.inra.fr</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>4</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>05</day>
<month>3</month>
<year>2015</year>
</pub-date>
<volume>8</volume>
<issue>4</issue>
<fpage>385</fpage>
<lpage>402</lpage>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>1</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>© 2015 The Authors.
<italic>Evolutionary Applications</italic>
published by John Wiley & Sons Ltd.</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract>
<p>Remnant areas hosting natural vegetation in agricultural landscapes can impact the disease epidemiology and evolutionary dynamics of crop pathogens. However, the potential consequences for crop diseases of the composition, the spatial configuration and the persistence time of the agro-ecological interface – the area where crops and remnant vegetation are in contact – have been poorly studied. Here, we develop a demographic–genetic simulation model to study how the spatial and temporal distribution of remnant wild vegetation patches embedded in an agricultural landscape can drive the emergence of a crop pathogen and its subsequent specialization on the crop host. We found that landscape structures that promoted larger pathogen populations on the wild host facilitated the emergence of a crop pathogen, but such landscape structures also reduced the potential for the pathogen population to adapt to the crop. In addition, the evolutionary trajectory of the pathogen population was determined by interactions between the factors describing the landscape structure and those describing the pathogen life histories. Our study contributes to a better understanding of how the shift of land-use patterns in agricultural landscapes might influence crop diseases to provide predictive tools to evaluate management practices.</p>
</abstract>
<kwd-group>
<kwd>agro-ecological interface</kwd>
<kwd>landscape epidemiology</kwd>
<kwd>pathogen evolution</kwd>
<kwd>plant disease management</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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