Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI | Zendy

Stacy Ciufo | Zendy; Sivakumar Kannan | Zendy; Shobha Sharma | Zendy; Azat Badretdin | Zendy; Karen Clark | Zendy; Seán Turner | Zendy; Vyacheslav Brover | Zendy; Conrad L. Schoch | Zendy; Avi Kimchi | Zendy; Michael DiCuccio | Zendy

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Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI

Author(s) -

Stacy Ciufo,

Sivakumar Kannan,

Shobha Sharma,

Azat Badretdin,

Karen Clark,

Seán Turner,

Vyacheslav Brover,

Conrad L. Schoch,

Avi Kimchi,

Michael DiCuccio

Publication year - 2018

Publication title -

international journal of systematic and evolutionary microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.925

H-Index - 173

eISSN - 1466-5034

pISSN - 1466-5026

DOI - 10.1099/ijsem.0.002809

Subject(s) - genbank , biology , genome , taxon , identity (music) , taxonomic rank , biological classification , computational biology , genetics , evolutionary biology , gene , ecology , physics , acoustics

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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