High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries

Chirag Jain; Luis M. Rodriguez-R; Adam M. Phillippy; Konstantinos T. Konstantinidis; Srinivas Aluru

doi:10.1038/s41467-018-07641-9

Nature Communications (Nov 2018)

High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries

Chirag Jain,
Luis M. Rodriguez-R,
Adam M. Phillippy,
Konstantinos T. Konstantinidis,
Srinivas Aluru

Affiliations

Chirag Jain: School of Computational Science and Engineering, Georgia Institute of Technology
Luis M. Rodriguez-R: School of Civil and Environmental Engineering, Georgia Institute of Technology
Adam M. Phillippy: National Human Genome Research Institute, National Institutes of Health
Konstantinos T. Konstantinidis: School of Civil and Environmental Engineering, Georgia Institute of Technology
Srinivas Aluru: School of Computational Science and Engineering, Georgia Institute of Technology

DOI: https://doi.org/10.1038/s41467-018-07641-9
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

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Average Nucleotide Identity (ANI) is a robust and useful measure to gauge genetic relatedness between two genomes. Here, the authors develop FastANI, a method to compute ANI using alignment-free approximate sequence mapping, and show 95% ANI is an accurate threshold for demarcating prokaryotic species by analyzing about 90,000 prokaryotic genomes.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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