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Putative genome contamination has minimal impact on the GTDB taxonomy.

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.

SUBMITTER: Mussig AJ

PROVIDER: S-EPMC11261887 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature

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Putative genome contamination has minimal impact on the GTDB taxonomy.

Mussig Aaron J AJ Chaumeil Pierre-Alain PA Chuvochina Maria M Rinke Christian C Parks Donovan H DH Hugenholtz Philip P

Microbial genomics 20240501 5

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 conta ...[more]

PMID: 38809778

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Project description:BackgroundThe bacterial evolution and the emergence of new species are likely influenced by multiple forces, including long-term environmental pressure such as living in extreme conditions. In this study, the genomes of two potentially new Streptomyces species isolated from a former mine heap in Tarnowskie Góry in Poland, were analyzed.ResultsA bioinformatic approach revealed notable phylogenetic and metabolic differences between the studied Streptomyces strains, despite originating from the same environment. While both strains are characterized by genetic features common to actinomycetes, additional unique biosynthetic gene clusters were also predicted in their genomes. The comparative genomic analysis with other Streptomyces spp. revealed a high conservation in heavy metal adaptive mechanisms, indicating a preadaptation to extreme conditions. The difference observed in the cad and mer operons could be attributed to the specific adaptations to heavy metal contamination. The high metal tolerance of examined strains was also confirmed by an agar dilution assay in the presence of several heavy metals. The confirmed siderophore production represents an additional mechanism allowing streptomycetes to survive in extreme conditions. On the other hand, both of studied genomes show significant differences in energy acquisition processes and the production of putative novel secondary metabolites. The isolates showed these differences not only among themselves but also compared to other Streptomyces species, indicating their uniqueness.ConclusionsOur results demonstrate that extreme environmental conditions can lead to the development of various adaptation mechanisms in the Streptomyces spp. Furthermore, the results indicate that diverse Streptomyces species have developed conserved adaptation mechanisms against the heavy metals under extreme conditions, indicating the emergence of preadaptations that allow bacteria to respond rapidly to polluted environments and evolve their genomes accordingly up to the evolution of new species.

Dataset Information

Putative genome contamination has minimal impact on the GTDB taxonomy.

Publications

Putative genome contamination has minimal impact on the GTDB taxonomy.

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