Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation

Detalhes bibliográficos
Autor(a) principal: Diniz-Filho,José Alexandre Felizola
Data de Publicação: 2000
Outros Autores: Telles,Mariana Pires de Campos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572000000300007
Resumo: In the present study, we used both simulations and real data set analyses to show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these processes, the proportion of variation among and within a population (measured by G ST and 1 - G ST, respectively) is correlated with the slope and intercept of a Mantel's test relating genetic and geographic distances. Beyond the conceptual interest, the inspection of the relationship between population heterogeneity and spatial pattern can be used to test departures from stochasticity in the study of population differentiation.
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spelling Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiationIn the present study, we used both simulations and real data set analyses to show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these processes, the proportion of variation among and within a population (measured by G ST and 1 - G ST, respectively) is correlated with the slope and intercept of a Mantel's test relating genetic and geographic distances. Beyond the conceptual interest, the inspection of the relationship between population heterogeneity and spatial pattern can be used to test departures from stochasticity in the study of population differentiation.Sociedade Brasileira de Genética2000-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572000000300007Genetics and Molecular Biology v.23 n.3 2000reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572000000300007info:eu-repo/semantics/openAccessDiniz-Filho,José Alexandre FelizolaTelles,Mariana Pires de Camposeng2001-05-04T00:00:00Zoai:scielo:S1415-47572000000300007Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2001-05-04T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
title Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
spellingShingle Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
Diniz-Filho,José Alexandre Felizola
title_short Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
title_full Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
title_fullStr Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
title_full_unstemmed Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
title_sort Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation
author Diniz-Filho,José Alexandre Felizola
author_facet Diniz-Filho,José Alexandre Felizola
Telles,Mariana Pires de Campos
author_role author
author2 Telles,Mariana Pires de Campos
author2_role author
dc.contributor.author.fl_str_mv Diniz-Filho,José Alexandre Felizola
Telles,Mariana Pires de Campos
description In the present study, we used both simulations and real data set analyses to show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these processes, the proportion of variation among and within a population (measured by G ST and 1 - G ST, respectively) is correlated with the slope and intercept of a Mantel's test relating genetic and geographic distances. Beyond the conceptual interest, the inspection of the relationship between population heterogeneity and spatial pattern can be used to test departures from stochasticity in the study of population differentiation.
publishDate 2000
dc.date.none.fl_str_mv 2000-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572000000300007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572000000300007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572000000300007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.23 n.3 2000
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
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instname_str Sociedade Brasileira de Genética (SBG)
instacron_str SBG
institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
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