Using gradient forest to predict climate response and adaptation in Cork Oak

Detalhes bibliográficos
Autor(a) principal: Vanhove, M.
Data de Publicação: 2021
Outros Autores: 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.
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
id RCAP_ae48acce1bce1deead62e0b61ac1c9be
oai_identifier_str oai:www.repository.utl.pt:10400.5/23332
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
_version_ 1799131169980153856