Using gradient forest to predict climate response and adaptation in Cork Oak
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/23332 |
Resumo: | Climate change is impacting locally adapted species such as the keystone tree species cork oak (Quercus suber L.). Quantifying the importance of environmental variables in explaining the species distribution can help build resilient populations in restoration projects and design forest management strategies. Using landscape genomics, we investigated the population structure and ecological adaptation of this tree species across the Mediterranean Basin. We applied genotyping by sequencing and derived 2,583 single nucleotide polymorphism markers genotyped from 81 individuals across 17 sites in the studied region. We implemented an approach based on the nearest neighbour haplotype ‘coancestry’ and uncovered a weak population structure along an east–west climatic gradient across the Mediterranean region. We identified genomic regions potentially involved in local adaptation and predicted differences in the genetic composition across the landscape under current and future climates. Variants associated with temperature and precipitation variables were detected, and we applied a nonlinear multivariate association method, gradient forest, to project these gene–environment relationships across space. The model allowed the identification of geographic areas within the western Mediterranean region most sensitive to climate change: south-western Iberia and northern Morocco. Our findings provide a preliminary assessment towards a potential management strategy for the conservation of cork oak in the Mediterranean Basin |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Using gradient forest to predict climate response and adaptation in Cork Oakclimate changeGradient Forestlandscape genomicslocal adaptationQuercus suber LClimate change is impacting locally adapted species such as the keystone tree species cork oak (Quercus suber L.). Quantifying the importance of environmental variables in explaining the species distribution can help build resilient populations in restoration projects and design forest management strategies. Using landscape genomics, we investigated the population structure and ecological adaptation of this tree species across the Mediterranean Basin. We applied genotyping by sequencing and derived 2,583 single nucleotide polymorphism markers genotyped from 81 individuals across 17 sites in the studied region. We implemented an approach based on the nearest neighbour haplotype ‘coancestry’ and uncovered a weak population structure along an east–west climatic gradient across the Mediterranean region. We identified genomic regions potentially involved in local adaptation and predicted differences in the genetic composition across the landscape under current and future climates. Variants associated with temperature and precipitation variables were detected, and we applied a nonlinear multivariate association method, gradient forest, to project these gene–environment relationships across space. The model allowed the identification of geographic areas within the western Mediterranean region most sensitive to climate change: south-western Iberia and northern Morocco. Our findings provide a preliminary assessment towards a potential management strategy for the conservation of cork oak in the Mediterranean BasinWileyRepositório da Universidade de LisboaVanhove, M.Pina-Martins, F.Coelho, A.C.Branquinho, C.Costa, A.Batista, D.Silva, A.Sousa, P.Henriques, A.Marques, I.Belkadi, B.Knowles, L.L.Paulo, O.S.2022-02-01T10:09:54Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/23332engVanhove M, Pina‐Martins F, Coelho AC, Branquinho C, Costa A, Batista D, Silva A, Sousa P, Henriques A, Marques I, Belkadi B, Knowles LL, Paulo OS (2021). Using gradient forest to predict climate response and adaptation in Cork Oak. Journal of Evolutionary Biology 34: 910-92310.1111/jeb.13765info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:52:52Zoai:www.repository.utl.pt:10400.5/23332Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:07:35.480441Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Using gradient forest to predict climate response and adaptation in Cork Oak |
title |
Using gradient forest to predict climate response and adaptation in Cork Oak |
spellingShingle |
Using gradient forest to predict climate response and adaptation in Cork Oak Vanhove, M. climate change Gradient Forest landscape genomics local adaptation Quercus suber L |
title_short |
Using gradient forest to predict climate response and adaptation in Cork Oak |
title_full |
Using gradient forest to predict climate response and adaptation in Cork Oak |
title_fullStr |
Using gradient forest to predict climate response and adaptation in Cork Oak |
title_full_unstemmed |
Using gradient forest to predict climate response and adaptation in Cork Oak |
title_sort |
Using gradient forest to predict climate response and adaptation in Cork Oak |
author |
Vanhove, M. |
author_facet |
Vanhove, M. Pina-Martins, F. Coelho, A.C. Branquinho, C. Costa, A. Batista, D. Silva, A. Sousa, P. Henriques, A. Marques, I. Belkadi, B. Knowles, L.L. Paulo, O.S. |
author_role |
author |
author2 |
Pina-Martins, F. Coelho, A.C. Branquinho, C. Costa, A. Batista, D. Silva, A. Sousa, P. Henriques, A. Marques, I. Belkadi, B. Knowles, L.L. Paulo, O.S. |
author2_role |
author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Vanhove, M. Pina-Martins, F. Coelho, A.C. Branquinho, C. Costa, A. Batista, D. Silva, A. Sousa, P. Henriques, A. Marques, I. Belkadi, B. Knowles, L.L. Paulo, O.S. |
dc.subject.por.fl_str_mv |
climate change Gradient Forest landscape genomics local adaptation Quercus suber L |
topic |
climate change Gradient Forest landscape genomics local adaptation Quercus suber L |
description |
Climate change is impacting locally adapted species such as the keystone tree species cork oak (Quercus suber L.). Quantifying the importance of environmental variables in explaining the species distribution can help build resilient populations in restoration projects and design forest management strategies. Using landscape genomics, we investigated the population structure and ecological adaptation of this tree species across the Mediterranean Basin. We applied genotyping by sequencing and derived 2,583 single nucleotide polymorphism markers genotyped from 81 individuals across 17 sites in the studied region. We implemented an approach based on the nearest neighbour haplotype ‘coancestry’ and uncovered a weak population structure along an east–west climatic gradient across the Mediterranean region. We identified genomic regions potentially involved in local adaptation and predicted differences in the genetic composition across the landscape under current and future climates. Variants associated with temperature and precipitation variables were detected, and we applied a nonlinear multivariate association method, gradient forest, to project these gene–environment relationships across space. The model allowed the identification of geographic areas within the western Mediterranean region most sensitive to climate change: south-western Iberia and northern Morocco. Our findings provide a preliminary assessment towards a potential management strategy for the conservation of cork oak in the Mediterranean Basin |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-02-01T10:09:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/23332 |
url |
http://hdl.handle.net/10400.5/23332 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Vanhove M, Pina‐Martins F, Coelho AC, Branquinho C, Costa A, Batista D, Silva A, Sousa P, Henriques A, Marques I, Belkadi B, Knowles LL, Paulo OS (2021). Using gradient forest to predict climate response and adaptation in Cork Oak. Journal of Evolutionary Biology 34: 910-923 10.1111/jeb.13765 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131169980153856 |