Spatial chemometric analyses of essential oil variability in Eugenia dysenterica

Chemovariations in essential oils were used for studying the spatial chemical structure of eight E. dysenterica populations in Central Brazilian Cerrado. Previously, multivariate Mantel autocorrelogram and chemical matrix variation partitioning, using the spatial and environmental data sets as predictors, have suggested a highly significant spatial variation in essential oils. In the present study, spatial chemometric methods using variograms and probability maps detected and characterized the spatial chemical structure among populations, as well as the environmental factors responsible for them. All these strategies indicated that the populations differ chemically whenever the geographical distance exceeds 120 km, an indicator of the minimal distance between samples required for conserving the genetic diversity of populations. Although being scarcely used with secondary metabolites, these methodologies may be used in a wide range of applications in species management and may lead to an effective integration of genetic, chemical and ecological perspectives.

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Main Authors: Vilela,Eliane C., Duarte,Alessandra R., Naves,Ronaldo V., Santos,Suzana C., Seraphin,José C., Ferri,Pedro H.
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Química 2013
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000500021
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spelling oai:scielo:S0103-505320130005000212013-06-13Spatial chemometric analyses of essential oil variability in Eugenia dysentericaVilela,Eliane C.Duarte,Alessandra R.Naves,Ronaldo V.Santos,Suzana C.Seraphin,José C.Ferri,Pedro H. Eugenia dysenterica essential oil chemovariations variogram spatial variation Chemovariations in essential oils were used for studying the spatial chemical structure of eight E. dysenterica populations in Central Brazilian Cerrado. Previously, multivariate Mantel autocorrelogram and chemical matrix variation partitioning, using the spatial and environmental data sets as predictors, have suggested a highly significant spatial variation in essential oils. In the present study, spatial chemometric methods using variograms and probability maps detected and characterized the spatial chemical structure among populations, as well as the environmental factors responsible for them. All these strategies indicated that the populations differ chemically whenever the geographical distance exceeds 120 km, an indicator of the minimal distance between samples required for conserving the genetic diversity of populations. Although being scarcely used with secondary metabolites, these methodologies may be used in a wide range of applications in species management and may lead to an effective integration of genetic, chemical and ecological perspectives.info:eu-repo/semantics/openAccessSociedade Brasileira de QuímicaJournal of the Brazilian Chemical Society v.24 n.5 20132013-05-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000500021en10.5935/0103-5053.20130099
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country Brasil
countrycode BR
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region America del Sur
libraryname SciELO
language English
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author Vilela,Eliane C.
Duarte,Alessandra R.
Naves,Ronaldo V.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
spellingShingle Vilela,Eliane C.
Duarte,Alessandra R.
Naves,Ronaldo V.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
author_facet Vilela,Eliane C.
Duarte,Alessandra R.
Naves,Ronaldo V.
Santos,Suzana C.
Seraphin,José C.
Ferri,Pedro H.
author_sort Vilela,Eliane C.
title Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
title_short Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
title_full Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
title_fullStr Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
title_full_unstemmed Spatial chemometric analyses of essential oil variability in Eugenia dysenterica
title_sort spatial chemometric analyses of essential oil variability in eugenia dysenterica
description Chemovariations in essential oils were used for studying the spatial chemical structure of eight E. dysenterica populations in Central Brazilian Cerrado. Previously, multivariate Mantel autocorrelogram and chemical matrix variation partitioning, using the spatial and environmental data sets as predictors, have suggested a highly significant spatial variation in essential oils. In the present study, spatial chemometric methods using variograms and probability maps detected and characterized the spatial chemical structure among populations, as well as the environmental factors responsible for them. All these strategies indicated that the populations differ chemically whenever the geographical distance exceeds 120 km, an indicator of the minimal distance between samples required for conserving the genetic diversity of populations. Although being scarcely used with secondary metabolites, these methodologies may be used in a wide range of applications in species management and may lead to an effective integration of genetic, chemical and ecological perspectives.
publisher Sociedade Brasileira de Química
publishDate 2013
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532013000500021
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