Putative genome contamination has minimal impact on the GTDB taxonomy

Author:

Mussig Aaron J.1ORCID,Chaumeil Pierre-Alain1ORCID,Chuvochina Maria1ORCID,Rinke Christian21ORCID,Parks Donovan H.1ORCID,Hugenholtz Philip1ORCID

Affiliation:

1. The University of Queensland, School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, St Lucia, QLD, Australia

2. Present address: Department of Microbiology, University of Innsbruck, Innsbruck, Austria

Abstract

The Genome Taxonomy Database (GTDB) provides a species to domain classification of publicly available genomes based on average nucleotide identity (ANI) (for species) and a concatenated gene phylogeny normalized by evolutionary rates (for genus to phylum), which has been widely adopted by the scientific community. Here, we use the Genome UNClutterer (GUNC) software to identify putatively contaminated genomes in GTDB release 07-RS207. We found that GUNC reported 35,723 genomes as putatively contaminated, comprising 11.25 % of the 317,542 genomes in GTDB release 07-RS207. To assess the impact of this high level of inferred contamination on the delineation of taxa, we created ‘clean’ versions of the 34,846 putatively contaminated bacterial genomes by removing the most contaminated half. For each clean half, we re-calculated the ANI and concatenated gene phylogeny and found that only 77 (0.22 %) of the genomes were not consistent with their original classification. We conclude that the delineation of taxa in GTDB is robust to the putative contamination detected by GUNC.

Publisher

Microbiology Society

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