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Mol Ecol Resour. 2017 Nov;17(6):e241-e250. doi: 10.1111/1755-0998.12697. Epub 2017 Jul 25.

EcoGenetics: An R package for the management and exploratory analysis of spatial data in landscape genetics.

Author information

1
Instituto de Investigaciones Biotecnológicas (IIB-INTECH), Universidad Nacional de San Martín, Buenos Aires, Argentina.
2
Facultad de Ciencias Exactas y Naturales, Departamento Ecología, Genética y Evolución, Genética de Poblaciones Aplicada (GPA), Universidad de Buenos Aires, Buenos Aires, Argentina.
3
Instituto de Ecología, Genética y Evolución (IEGEBA), CONICET - Universidad de Buenos Aires, Buenos Aires, Argentina.
4
Facultad de Ciencias Exactas y Naturales, Departamento Ecología, Genética y Evolución, Genética de Especies Leñosas (GEEL), Universidad de Buenos Aires, Buenos Aires, Argentina.

Abstract

The integration of ecology and genetics has become established in recent decades, in hand with the development of new technologies, whose implementation is allowing an improvement of the tools used for data analysis. In a landscape genetics context, integrative management of population information from different sources can make spatial studies involving phenotypic, genotypic and environmental data simpler, more accessible and faster. Tools for exploratory analysis of autocorrelation can help to uncover the spatial genetic structure of populations and generate appropriate hypotheses in searching for possible causes and consequences of their spatial processes. This study presents EcoGenetics, an R package with tools for multisource management and exploratory analysis in landscape genetics.

KEYWORDS:

R; ecology; genetics; landscape genetics; package; spatial autocorrelation

PMID:
28654194
DOI:
10.1111/1755-0998.12697
[Indexed for MEDLINE]

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