ArticleApplied and environmental microbiology2024
Genomic analysis of conjugative and chromosomally integrated mobile genetic elements in oral streptococci.
Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Identification of the Integration/Excision Module and Regulatory Elements Involved in the Mobility of IME8, an Integrative and Mobilizable Element From Mosquitocidal Lysinibacillus sphaericus.Microbial biotechnology · 2026Article
- Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.Journal of oral microbiology · 2026Review
- Bacterial evolution in the oral microbiome: the role of conjugative elements and horizontal gene transfer.Journal of bacteriology · 2025Review
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Authors and funding
7 authors.
Funding
Abstract
This study aimed to investigate the diversity of conjugative and chromosomally integrated mobile genetic elements (cciMGEs) within six oral streptococci species. cciMGEs, including integrative and conjugative elements (ICEs) and integrative and mobilizable elements (IMEs), are stably maintained on the host cell chromosome; however, under certain conditions, they are able to excise, form extrachromosomal circles, and transfer via a conjugation apparatus. Many cciMGEs encode "cargo" functions that aid survival in new niches and evolve new antimicrobial resistance or virulence properties, whereas others have been shown to influence host bacterial physiology. Here, using a workflow employing preexisting bioinformatics tools, we analyzed 551 genomes for the presence of cciMGEs across six common health- and disease-associated oral streptococci. We identified 486 cciMGEs, 173 of which were ICEs and 233 of which were IMEs. The cciMGEs were diverse in size, cargo genes, and relaxase types. We identified several novel relaxase proteins and a widespread IME carrying a small multidrug resistance transporter. Additionally, we provide evidence that several of the bioinformatically predicted cciMGEs encoded within various
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