Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations

Detalhes bibliográficos
Autor(a) principal: Vilela,Eliane C.
Data de Publicação: 2012
Outros Autores: Carvalho,Thays C., Duarte,Alessandra R., Naves,Ronaldo R., Santos,Suzana C., Seraphin,José C., Ferri,Pedro H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Chemical Society (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001000003
Resumo: The chemical composition of essential oils was used to study the spatial structure of eight Eugenia dysenterica populations in central Brazilian Cerrado. Variation partitioning using spatial and environmental data sets as predictors was highly significant and explained 7.8 and 8.1% of oil chemovariations, respectively. Results suggested that essential oil polymorphism was genetically rather than environmentally determined. Furthermore, the intercept of the multivariate Mantel autocorrelogram between the distance matrices of oil constituents and sampling sites suggested that the populations differ chemically whenever geographical distance exceeds 120 km. It stands, therefore, as an alternative indicator of the minimal distance between samples required for conserving the genetic diversity of populations.
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spelling Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populationsEugenia dysentericaessential oilvariation partitioningspatial patternspatial autocorrelationThe chemical composition of essential oils was used to study the spatial structure of eight Eugenia dysenterica populations in central Brazilian Cerrado. Variation partitioning using spatial and environmental data sets as predictors was highly significant and explained 7.8 and 8.1% of oil chemovariations, respectively. Results suggested that essential oil polymorphism was genetically rather than environmentally determined. Furthermore, the intercept of the multivariate Mantel autocorrelogram between the distance matrices of oil constituents and sampling sites suggested that the populations differ chemically whenever geographical distance exceeds 120 km. It stands, therefore, as an alternative indicator of the minimal distance between samples required for conserving the genetic diversity of populations.Sociedade Brasileira de Química2012-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001000003Journal of the Brazilian Chemical Society v.23 n.10 2012reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532012005000043info:eu-repo/semantics/openAccessVilela,Eliane C.Carvalho,Thays C.Duarte,Alessandra R.Naves,Ronaldo R.Santos,Suzana C.Seraphin,José C.Ferri,Pedro H.eng2012-12-05T00:00:00Zoai:scielo:S0103-50532012001000003Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2012-12-05T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false
dc.title.none.fl_str_mv Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
title Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
spellingShingle Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
Vilela,Eliane C.
Eugenia dysenterica
essential oil
variation partitioning
spatial pattern
spatial autocorrelation
title_short Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
title_full Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
title_fullStr Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
title_full_unstemmed Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
title_sort Spatial structure of Eugenia dysenterica based on essential oil chemovariations and implications for conservation and management of the genetic diversity of its populations
author Vilela,Eliane C.
author_facet Vilela,Eliane C.
Carvalho,Thays C.
Duarte,Alessandra R.
Naves,Ronaldo R.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
author_role author
author2 Carvalho,Thays C.
Duarte,Alessandra R.
Naves,Ronaldo R.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vilela,Eliane C.
Carvalho,Thays C.
Duarte,Alessandra R.
Naves,Ronaldo R.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
dc.subject.por.fl_str_mv Eugenia dysenterica
essential oil
variation partitioning
spatial pattern
spatial autocorrelation
topic Eugenia dysenterica
essential oil
variation partitioning
spatial pattern
spatial autocorrelation
description The chemical composition of essential oils was used to study the spatial structure of eight Eugenia dysenterica populations in central Brazilian Cerrado. Variation partitioning using spatial and environmental data sets as predictors was highly significant and explained 7.8 and 8.1% of oil chemovariations, respectively. Results suggested that essential oil polymorphism was genetically rather than environmentally determined. Furthermore, the intercept of the multivariate Mantel autocorrelogram between the distance matrices of oil constituents and sampling sites suggested that the populations differ chemically whenever geographical distance exceeds 120 km. It stands, therefore, as an alternative indicator of the minimal distance between samples required for conserving the genetic diversity of populations.
publishDate 2012
dc.date.none.fl_str_mv 2012-10-01
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=S0103-50532012001000003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532012001000003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-50532012005000043
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 Química
publisher.none.fl_str_mv Sociedade Brasileira de Química
dc.source.none.fl_str_mv Journal of the Brazilian Chemical Society v.23 n.10 2012
reponame:Journal of the Brazilian Chemical Society (Online)
instname:Sociedade Brasileira de Química (SBQ)
instacron:SBQ
instname_str Sociedade Brasileira de Química (SBQ)
instacron_str SBQ
institution SBQ
reponame_str Journal of the Brazilian Chemical Society (Online)
collection Journal of the Brazilian Chemical Society (Online)
repository.name.fl_str_mv Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)
repository.mail.fl_str_mv ||office@jbcs.sbq.org.br
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