Reconciling GenBank names with standardized avian taxonomies to improve linkage between phylogeny and phenotype

Abstract

ABSTRACTBiodiversity research has advanced by testing expectations of ecological and evolutionary hypotheses through the linking of large-scale genetic, distributional, and trait datasets. The rise of molecular systematics over the past 30 years has resulted in a wealth of DNA sequence data from around the globe, facilitating biodiversity research. However, advances in molecular systematics also have created taxonomic instability, as new estimates of evolutionary relationships and interpretations of species limits have led to widespread scientific name changes. Taxonomic instability, or “splits, lumps, and shuffles”, present logistical challenges to large-scale biodiversity research because species or populations may be listed under different names in different data sources, or because different species or populations may be listed under previous names. Consequently, distributional and trait data are often difficult to link directly to DNA sequence data without extensive and time consuming curation. Here, we present RANT: Reconciliation of Avian NCBI Taxonomy. RANT applies taxonomic reconciliation to standardize all avian names in use in NCBI GenBank, a primary source of genetic data, to a widely-used and regularly-updated avian taxonomy: eBird/Clements. Of 14,341 avian species or subspecies names used by GenBank, 11,031 names directly matched an eBird/Clements name, which were linked to over 6 million nucleotide sequences. For the remaining unique avian names in GenBank, we used Avibase’s taxonomic concepts, taxonomic descriptions in Cornell’s Birds of the World, and DNA sequence metadata to identify corresponding eBird/Clements names. Reconciled names were linked to over 600,000 nucleotide sequences, approximately 9% of all avian sequences on GenBank. Nearly 10% of eBird/Clements names had nucleotide sequences listed under two or more GenBank names. Our avian GenBank naming reconciliation is open source and available at GitHub, where it can be updated to correspond with future annual eBird/Clements taxonomic updates.LAY SUMMARY– 23% of avian names on GenBank do not match eBird/Clements, a widely-used standardized avian taxonomy– 600,000 nucleotide sequences on GenBank are associated with names that do not match eBird/Clements– 10% of eBird/Clements names have nucleotide sequences listed under multiple GenBank names– We provide an open source taxonomic reconciliation to mitigate difficulties associated with non-standardized name use for GenBank data