A New Perspective on Ecological Prediction Reveals Limits to Climate Adaptation in a Temperate Tree Species.
Identifieur interne : 000601 ( Main/Exploration ); précédent : 000600; suivant : 000602A New Perspective on Ecological Prediction Reveals Limits to Climate Adaptation in a Temperate Tree Species.
Auteurs : Meghan Blumstein [États-Unis] ; Andrew Richardson [États-Unis] ; David Weston [États-Unis] ; Jin Zhang [États-Unis] ; Wellington Muchero [États-Unis] ; Robin Hopkins [États-Unis]Source :
- Current biology : CB [ 1879-0445 ] ; 2020.
Abstract
Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.
DOI: 10.1016/j.cub.2020.02.001
PubMed: 32220321
Affiliations:
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Electronic address: blumstein@fas.harvard.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Cambridge (Massachusetts)</settlement></placeName><orgName type="university">Université Harvard</orgName></affiliation></author><author><name sortKey="Richardson, Andrew" sort="Richardson, Andrew" uniqKey="Richardson A" first="Andrew" last="Richardson">Andrew Richardson</name><affiliation wicri:level="2"><nlm:affiliation>Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011</wicri:regionArea><placeName><region type="state">Arizona</region></placeName></affiliation></author><author><name sortKey="Weston, David" sort="Weston, David" uniqKey="Weston D" first="David" last="Weston">David Weston</name><affiliation wicri:level="2"><nlm:affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Zhang, Jin" sort="Zhang, Jin" uniqKey="Zhang J" first="Jin" last="Zhang">Jin Zhang</name><affiliation wicri:level="2"><nlm:affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Muchero, Wellington" sort="Muchero, Wellington" uniqKey="Muchero W" first="Wellington" last="Muchero">Wellington Muchero</name><affiliation wicri:level="2"><nlm:affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831</wicri:regionArea><placeName><region type="state">Tennessee</region></placeName></affiliation></author><author><name sortKey="Hopkins, Robin" sort="Hopkins, Robin" uniqKey="Hopkins R" first="Robin" last="Hopkins">Robin Hopkins</name><affiliation wicri:level="4"><nlm:affiliation>Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA; The Arnold Arboretum, 1300 Centre Street, Boston, MA 02130, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA; The Arnold Arboretum, 1300 Centre Street, Boston, MA 02130</wicri:regionArea><placeName><region type="state">Massachusetts</region><settlement type="city">Cambridge (Massachusetts)</settlement></placeName><orgName type="university">Université Harvard</orgName></affiliation></author></analytic><series><title level="j">Current biology : CB</title><idno type="eISSN">1879-0445</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.</div></front></TEI><pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">32220321</PMID><DateRevised><Year>2020</Year><Month>04</Month><Day>22</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-0445</ISSN><JournalIssue CitedMedium="Internet"><Volume>30</Volume><Issue>8</Issue><PubDate><Year>2020</Year><Month>Apr</Month><Day>20</Day></PubDate></JournalIssue><Title>Current biology : CB</Title><ISOAbbreviation>Curr Biol</ISOAbbreviation></Journal><ArticleTitle>A New Perspective on Ecological Prediction Reveals Limits to Climate Adaptation in a Temperate Tree Species.</ArticleTitle><Pagination><MedlinePgn>1447-1453.e4</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0960-9822(20)30174-3</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.cub.2020.02.001</ELocationID><Abstract><AbstractText>Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.</AbstractText><CopyrightInformation>Copyright © 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Blumstein</LastName><ForeName>Meghan</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA. Electronic address: blumstein@fas.harvard.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Richardson</LastName><ForeName>Andrew</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA; School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ 86011, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Weston</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Jin</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Muchero</LastName><ForeName>Wellington</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hopkins</LastName><ForeName>Robin</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Organismic and Evolutionary Biology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA; The Arnold Arboretum, 1300 Centre Street, Boston, MA 02130, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>03</Month><Day>26</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Curr Biol</MedlineTA><NlmUniqueID>9107782</NlmUniqueID><ISSNLinking>0960-9822</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">carbon storage</Keyword><Keyword MajorTopicYN="N">conservation genomics</Keyword><Keyword MajorTopicYN="N">ecological modeling</Keyword><Keyword MajorTopicYN="N">genomic adaptation</Keyword><Keyword MajorTopicYN="N">global climate change</Keyword><Keyword MajorTopicYN="N">nonstructural carbohydrates</Keyword><Keyword MajorTopicYN="N">plant ecophysiology</Keyword></KeywordList><CoiStatement>Declaration of Interests The authors declare no competing interests.</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>10</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>12</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>02</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32220321</ArticleId><ArticleId IdType="pii">S0960-9822(20)30174-3</ArticleId><ArticleId IdType="doi">10.1016/j.cub.2020.02.001</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Arizona</li><li>Massachusetts</li><li>Tennessee</li></region><settlement><li>Cambridge (Massachusetts)</li></settlement><orgName><li>Université Harvard</li></orgName></list><tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Blumstein, Meghan" sort="Blumstein, Meghan" uniqKey="Blumstein M" first="Meghan" last="Blumstein">Meghan Blumstein</name></region><name sortKey="Hopkins, Robin" sort="Hopkins, Robin" uniqKey="Hopkins R" first="Robin" last="Hopkins">Robin Hopkins</name><name sortKey="Muchero, Wellington" sort="Muchero, Wellington" uniqKey="Muchero W" first="Wellington" last="Muchero">Wellington Muchero</name><name sortKey="Richardson, Andrew" sort="Richardson, Andrew" uniqKey="Richardson A" first="Andrew" last="Richardson">Andrew Richardson</name><name sortKey="Weston, David" sort="Weston, David" uniqKey="Weston D" first="David" last="Weston">David Weston</name><name sortKey="Zhang, Jin" sort="Zhang, Jin" uniqKey="Zhang J" first="Jin" last="Zhang">Jin Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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