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 predi...

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Bibliographic Details
Published in:Journal of the Brazilian Chemical Society 2013-05, Vol.24 (5), p.873-879
Main Authors: Vilela, Eliane C., Duarte, Alessandra R., Naves, Ronaldo V., Santos, Suzana C., Seraphin, José C., Ferri, Pedro H.
Format: Article
Language:English
Subjects:
CHEMISTRY, MULTIDISCIPLINARY
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Summary: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.
ISSN:0103-5053
1678-4790
DOI:10.5935/0103-5053.20130099