Uniting genetic and geographic databases to understand the relationship between latitude and population demography

Abstract

It was not known that phylogenetic analysis of population genetic data would show geographic structure when Avise et al.(1979) introduced the unnamed field of phylogeography. Since then, the field has grown from using single gene fragments to whole genomes resulting in more than 22,000 publications. This seemingly simple relationship between geography and genetic variation has provided the foundation for studying speciation, species delimitation, hybrid zone dynamics, adaptation, conservation genetics, community assembly, and historical demography to name a few (see Burbrink & Ruane,2021; Edwards et al.,2016). As with many burgeoning fields, there is often little consideration of how to make data sets accessible for future researchers addressing more comprehensive questions under a common framework. For example, it is important in biogeography to examine how shared environments or barriers affect population structure across communities of species, or test if range size or latitude are correlated with genetic diversity across taxa (Myers et al.,2019; Smith et al.,2017). However, addressing these types of questions using existing data requires researchers to assemble large databases manually. Genetic and geographic databases used to store this information like NCBI Genbank (National Center for Biotechnology Information) and GBIF (Global Biodiversity Information Facility) are disconnected, and often of limited general use for conducting multitaxon studies. In this issue of Molecular Ecology Resources, Pelletier et al.(2022) have automated the process of connecting geography to DNA sequences via the phylogatR (phylogeographic data aggregation and repurposing) database.