Genetic Variation Explains Changes in Susceptibility in a Naïve Host Against an Invasive Forest Pathogen: The Case of Alder and the Phytophthora alni Complex.
Identifieur interne : 000190 ( Main/Exploration ); précédent : 000189; suivant : 000191Genetic Variation Explains Changes in Susceptibility in a Naïve Host Against an Invasive Forest Pathogen: The Case of Alder and the Phytophthora alni Complex.
Auteurs : Miguel A. Redondo [Suède] ; Jan Stenlid [Suède] ; Jonàs Oliva [Espagne]Source :
- Phytopathology [ 0031-949X ] ; 2020.
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Abstract
Predicting whether naïve tree populations have the potential to adapt to exotic pathogens is necessary owing to the increasing rate of invasions. Adaptation may occur as a result of natural selection when heritable variation in terms of susceptibility exists in the naïve population. We searched for signs of selection on black alder (Alnus glutinosa) stands growing on riverbanks invaded by two pathogens differing in aggressiveness, namely, Phytophthora uniformis (PU) and Phytophthora × alni (PA). We compared the survival and heritability measures from 72 families originating from six invaded and uninvaded (naïve) sites by performing in vitro inoculations. The results from the inoculations were used to assess the relative contribution of host genetic variation on natural selection. We found putative signs of natural selection on alder exerted by PU but not by PA. For PU, we found a higher survival in families originating from invaded sites compared with uninvaded sites. The narrow sense heritability of susceptibility to PU of uninvaded populations was significantly higher than to PA. Simulated data supported the role of heritable genetic variation on natural selection and discarded a high aggressiveness of PA decreasing the transmission rate as an alternative hypothesis for a slow natural selection. Our findings expand on previous attempts of using heritability as a predictor for the likelihood of natural adaptation of naïve tree populations to invasive pathogens. Measures of genetic variation can be useful for risk assessment purposes or when managing Phytophthora invasions.
DOI: 10.1094/PHYTO-07-19-0272-R
PubMed: 31552784
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Adaptation may occur as a result of natural selection when heritable variation in terms of susceptibility exists in the naïve population. We searched for signs of selection on black alder (<i>Alnus glutinosa</i>) stands growing on riverbanks invaded by two pathogens differing in aggressiveness, namely, <i>Phytophthora uniformis</i> (PU) and <i>Phytophthora</i> × <i>alni</i> (PA). We compared the survival and heritability measures from 72 families originating from six invaded and uninvaded (naïve) sites by performing in vitro inoculations. The results from the inoculations were used to assess the relative contribution of host genetic variation on natural selection. We found putative signs of natural selection on alder exerted by PU but not by PA. For PU, we found a higher survival in families originating from invaded sites compared with uninvaded sites. The narrow sense heritability of susceptibility to PU of uninvaded populations was significantly higher than to PA. Simulated data supported the role of heritable genetic variation on natural selection and discarded a high aggressiveness of PA decreasing the transmission rate as an alternative hypothesis for a slow natural selection. Our findings expand on previous attempts of using heritability as a predictor for the likelihood of natural adaptation of naïve tree populations to invasive pathogens. Measures of genetic variation can be useful for risk assessment purposes or when managing <i>Phytophthora</i> invasions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">31552784</PMID><DateCompleted><Year>2020</Year><Month>02</Month><Day>21</Day></DateCompleted><DateRevised><Year>2020</Year><Month>02</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0031-949X</ISSN><JournalIssue CitedMedium="Print"><Volume>110</Volume><Issue>2</Issue><PubDate><Year>2020</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Phytopathology</Title><ISOAbbreviation>Phytopathology</ISOAbbreviation></Journal><ArticleTitle>Genetic Variation Explains Changes in Susceptibility in a Naïve Host Against an Invasive Forest Pathogen: The Case of Alder and the <i>Phytophthora alni</i> Complex.</ArticleTitle><Pagination><MedlinePgn>517-525</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1094/PHYTO-07-19-0272-R</ELocationID><Abstract><AbstractText>Predicting whether naïve tree populations have the potential to adapt to exotic pathogens is necessary owing to the increasing rate of invasions. Adaptation may occur as a result of natural selection when heritable variation in terms of susceptibility exists in the naïve population. We searched for signs of selection on black alder (<i>Alnus glutinosa</i>) stands growing on riverbanks invaded by two pathogens differing in aggressiveness, namely, <i>Phytophthora uniformis</i> (PU) and <i>Phytophthora</i> × <i>alni</i> (PA). We compared the survival and heritability measures from 72 families originating from six invaded and uninvaded (naïve) sites by performing in vitro inoculations. The results from the inoculations were used to assess the relative contribution of host genetic variation on natural selection. We found putative signs of natural selection on alder exerted by PU but not by PA. For PU, we found a higher survival in families originating from invaded sites compared with uninvaded sites. The narrow sense heritability of susceptibility to PU of uninvaded populations was significantly higher than to PA. Simulated data supported the role of heritable genetic variation on natural selection and discarded a high aggressiveness of PA decreasing the transmission rate as an alternative hypothesis for a slow natural selection. Our findings expand on previous attempts of using heritability as a predictor for the likelihood of natural adaptation of naïve tree populations to invasive pathogens. Measures of genetic variation can be useful for risk assessment purposes or when managing <i>Phytophthora</i> invasions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Redondo</LastName><ForeName>Miguel A</ForeName><Initials>MA</Initials><Identifier Source="ORCID">http://orcid.org/0000-0002-6383-5457</Identifier><AffiliationInfo><Affiliation>Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stenlid</LastName><ForeName>Jan</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Oliva</LastName><ForeName>Jonàs</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Crop and Forest Sciences, University of Lleida, Lleida, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Joint Research Unit Agrotecnio, Forest Sciences and Technology Centre of Catalonia, Lleida, Spain.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>01</Month><Day>03</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="D029661" MajorTopicYN="Y">Alnus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="N">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014644" MajorTopicYN="N">Genetic Variation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010838" MajorTopicYN="Y">Phytophthora</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Phytophthora</Keyword><Keyword MajorTopicYN="N">adaptation</Keyword><Keyword MajorTopicYN="N">compartmental SIR model</Keyword><Keyword MajorTopicYN="N">disease control and pest management</Keyword><Keyword MajorTopicYN="N">ecology and epidemiology</Keyword><Keyword MajorTopicYN="N">inoculation</Keyword><Keyword MajorTopicYN="N">plant–pathogen interactions</Keyword><Keyword MajorTopicYN="N">simulation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>9</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>2</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>9</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31552784</ArticleId><ArticleId IdType="doi">10.1094/PHYTO-07-19-0272-R</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li><li>Suède</li></country></list><tree><country name="Suède"><noRegion><name sortKey="Redondo, Miguel A" sort="Redondo, Miguel A" uniqKey="Redondo M" first="Miguel A" last="Redondo">Miguel A. 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