| Literature DB >> 29343561 |
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.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