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Genome characterization and taxonomy of Actinomyces acetigenes sp. nov., and Actinomyces stomatis sp. nov., previously isolated from the human oral cavity

Lookup NU author(s): Dr Halah Ahmed, Professor Nicholas JakubovicsORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2023, The Author(s).Background: Actinomyces strains are commonly found as part of the normal microflora on human tissue surfaces, including the oropharynx, gastrointestinal tract, and female genital tract. Understanding the diversity and characterization of Actinomyces species is crucial for human health, as they play an important role in dental plaque formation and biofilm-related infections. Two Actinomyces strains ATCC 49340 T and ATCC 51655 T have been utilized in various studies, but their accurate species classification and description remain unresolved. Results: To investigate the genomic properties and taxonomic status of these strains, we employed both 16S rRNA Sanger sequencing and whole-genome sequencing using the Illumina HiSeq X Ten platform with PE151 (paired-end) sequencing. Our analyses revealed that the draft genome of Actinomyces acetigenes ATCC 49340 T was 3.27 Mbp with a 68.0% GC content, and Actinomyces stomatis ATCC 51655 T has a genome size of 3.08 Mbp with a 68.1% GC content. Multi-locus (atpA , rpoB, pgi , metG , gltA , gyrA, and core genome SNPs) sequence analysis supported the phylogenetic placement of strains ATCC 51655 T and ATCC 49340 T as independent lineages. Digital DNA-DNA hybridization (dDDH), average nucleotide identity (ANI), and average amino acid identity (AAI) analyses indicated that both strains represented novel Actinomyces species, with values below the threshold for species demarcation (70% dDDH, 95% ANI and AAI). Pangenome analysis identified 5,731 gene clusters with strains ATCC 49340 T and ATCC 51655 T possessing 1,515 and 1,518 unique gene clusters, respectively. Additionally, genomic islands (GIs) prediction uncovered 24 putative GIs in strain ATCC 49340 T and 16 in strain ATCC 51655 T, contributing to their genetic diversity and potential adaptive capabilities. Pathogenicity analysis highlighted the potential human pathogenicity risk associated with both strains, with several virulence-associated factors identified. CRISPR-Cas analysis exposed the presence of CRISPR and Cas genes in both strains, indicating these strains might evolve a robust defense mechanism against them. Conclusion: This study supports the classification of strains ATCC 49340 T and ATCC 51655 T as novel species within the Actinomyces, in which the name Actinomyces acetigenes sp. nov. (type strain ATCC 49340 T = VPI D163E-3 T = CCUG 34286 T = CCUG 35339 T) and Actinomyces stomatis sp. nov. (type strain ATCC 51655 T = PK606T = CCUG 33930 T) are proposed.


Publication metadata

Author(s): Tian X, Teo WFA, Wee WY, Yang Y, Ahmed H, Jakubovics NS, Choo SW, Tan GYA

Publication type: Article

Publication status: Published

Journal: BMC Genomics

Year: 2023

Volume: 24

Issue: 1

Online publication date: 04/12/2023

Acceptance date: 22/11/2023

Date deposited: 19/12/2023

ISSN (electronic): 1471-2164

Publisher: BioMed Central Ltd

URL: https://doi.org/10.1186/s12864-023-09831-2

DOI: 10.1186/s12864-023-09831-2

Data Access Statement: The genome sequence and 16S rRNA gene sequence of strain ATCC 49340 T and ATCC 51655 T were submitted to the GenBank database. The 16S rRNA gene sequences for strain ATCC 49340 T and ATCC 51655 T were assigned accession numbers OQ981482 and OQ981481 respectively. The accession number of whole genome sequences for strain ATCC 49340 T and ATCC 51655 T were assigned as JASPFC000000000 and JASPEP000000000, respectively. These genome sequences can be accessed by searching PRJNA976213 in the NCBI database ( https://www.ncbi.nlm.nih.gov/). The accession number of other 16S rRNA gene sequences and genome sequences used in this study can be found in Table S1 and Table S3, respectively. Other any additional data or information please refer to the author: https://www.tianxuechen@wku.edu.cn.

PubMed id: 38049764


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Funding

Funder referenceFunder name
5000105
Institute of Biological Sciences, Faculty of Science, Universiti Malaya
WB20211227000125
Wenzhou-Kean University
Zhejiang Bioinformatics International Science and Technology Cooperation Center
WB20210429000008
Wenzhou Municipal Key Laboratory for Applied Biomedical and the Biopharmaceutical Informatics

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