Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI
Stacy Ciufo(National Institutes of Health), Sivakumar Kannan(National Institutes of Health), Shobha Sharma(National Institutes of Health), Azat Badretdin(National Institutes of Health), Karen Clark(National Institutes of Health), Seán Turner(National Institutes of Health), Slava Brover(National Institutes of Health), Conrad L. Schoch(National Institutes of Health), Avi Kimchi(National Institutes of Health), Michael DiCuccio(National Institutes of Health)
Cited by 517Open Access
Abstract
Average nucleotide identity analysis is a useful tool to verify taxonomic identities in prokaryotic genomes, for both complete and draft assemblies. Using optimum threshold ranges appropriate for different prokaryotic taxa, we have reviewed all prokaryotic genome assemblies in GenBank with regard to their taxonomic identity. We present the methods used to make such comparisons, the current status of GenBank verifications, and recent developments in confirming species assignments in new genome submissions.
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