Literature DB >> 29343561

Geographical range size and latitude predict population genetic structure in a global survey.

Tara A Pelletier1, Bryan C Carstens2.   

Abstract

While genetic diversity within species is influenced by both geographical distance and environmental gradients, it is unclear what other factors are likely to promote population genetic structure. Using a machine learning framework and georeferenced DNA sequences from more than 8000 species, we demonstrate that geographical attributes of the species range, including total size, latitude and elevation, are the most important predictors of which species are likely to contain structured genetic variation. While latitude is well known as an important predictor of biodiversity, our work suggests that it also plays a key role in shaping diversity within species.
© 2018 The Author(s).

Keywords:  GBIF; elevation; genetic structure; latitude; machine learning

Mesh:

Year:  2018        PMID: 29343561      PMCID: PMC5803589          DOI: 10.1098/rsbl.2017.0566

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  20 in total

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  7 in total

1.  Geographical range size and latitude predict population genetic structure in a global survey.

Authors:  Tara A Pelletier; Bryan C Carstens
Journal:  Biol Lett       Date:  2018-01       Impact factor: 3.703

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