Using gradient Forest to predict climate response and adaptation in Cork oak

Detalhes bibliográficos
Autor(a) principal: Vanhove, Mathieu
Data de Publicação: 2021
Outros Autores: Pina Martins, Francisco, Coelho, Ana Cristina, Branquinho, Cristina, Costa, Augusta, Batista, Dora, Príncipe, Adriana, Sousa, Paulo, Henriques, André, Marques, Isabel, Belkadi, Bouchra, Knowles, L. Lacey, Paulo, Octávio 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/10451/49985
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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spelling Using gradient Forest to predict climate response and adaptation in Cork oakClimate 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.WileyRepositório da Universidade de LisboaVanhove, MathieuPina Martins, FranciscoCoelho, Ana CristinaBranquinho, CristinaCosta, AugustaBatista, DoraPríncipe, AdrianaSousa, PauloHenriques, AndréMarques, IsabelBelkadi, BouchraKnowles, L. LaceyPaulo, Octávio S.2022-06-04T00:30:29Z2021-062021-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/49985eng10.1111/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:RCAAP2023-11-08T16:52:22Zoai:repositorio.ul.pt:10451/49985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:00:37.472848Repositório 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, Mathieu
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, Mathieu
author_facet Vanhove, Mathieu
Pina Martins, Francisco
Coelho, Ana Cristina
Branquinho, Cristina
Costa, Augusta
Batista, Dora
Príncipe, Adriana
Sousa, Paulo
Henriques, André
Marques, Isabel
Belkadi, Bouchra
Knowles, L. Lacey
Paulo, Octávio S.
author_role author
author2 Pina Martins, Francisco
Coelho, Ana Cristina
Branquinho, Cristina
Costa, Augusta
Batista, Dora
Príncipe, Adriana
Sousa, Paulo
Henriques, André
Marques, Isabel
Belkadi, Bouchra
Knowles, L. Lacey
Paulo, Octávio 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, Mathieu
Pina Martins, Francisco
Coelho, Ana Cristina
Branquinho, Cristina
Costa, Augusta
Batista, Dora
Príncipe, Adriana
Sousa, Paulo
Henriques, André
Marques, Isabel
Belkadi, Bouchra
Knowles, L. Lacey
Paulo, Octávio S.
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 2021-06
2021-06-01T00:00:00Z
2022-06-04T00:30:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/49985
url http://hdl.handle.net/10451/49985
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1111/jeb.13765
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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)
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instacron:RCAAP
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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
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