Cavaliere, Sara (2025) Large-scale meta-analysis of the human oral plaque microbiome. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Large-scale meta-analysis of the human oral plaque microbiome |
| Autori: | Autore Email Cavaliere, Sara sara.cavaliere2@unina.it |
| Data: | 3 Aprile 2025 |
| Numero di pagine: | 100 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Computational and quantitative biology |
| Ciclo di dottorato: | 37 |
| Coordinatore del Corso di dottorato: | nome email Ceccarelli, Michele michele.ceccarelli@unina.it |
| Tutor: | nome email Edoardo, Pasolli [non definito] |
| Data: | 3 Aprile 2025 |
| Numero di pagine: | 100 |
| Parole chiave: | Human microbiome, metagenomics, oral plaque, AMR genes, oral diseases, large-scale analysis. |
| Settori scientifico-disciplinari del MIUR: | Area 05 - Scienze biologiche > BIO/18 - Genetica |
| Informazioni aggiuntive: | Appartenente al ciclo 37 |
| Depositato il: | 18 Nov 2025 11:54 |
| Ultima modifica: | 09 Ago 2026 06:03 |
| URI: | https://www.fedoa.unina.it/id/eprint/16601 |
Abstract
The human oral plaque microbiome plays a pivotal role in oral health and disease, yet its full taxonomic and functional diversity remains underexplored. This research provides a comprehensive characterization of the oral plaque microbiome by assembling approximately 25,000 metagenome-assembled genomes (MAGs) from over 2,000 metagenomic samples, using advanced genome reconstruction and binning approaches. These efforts identified 1,700 species-level genome bins (SGBs), including 1,200 previously uncharacterized species, with 800 being specific to the oral plaque environment. Additionally, resistome profiling, conducted using specialized computational tools and curated resistance gene databases, revealed that 308 SGBs contained at least one antibiotic resistance gene (ARG), with some species harboring more than 40 ARGs. The most prevalent resistance classes identified were tetracyclines, macrolides, lincosamides, and penicillins, reflecting selective pressures within the oral environment. These results underscore the oral plaque microbiome’s potential as a reservoir for antibiotic resistance and the importance of understanding the mechanisms driving the dissemination of resistance genes in this niche. This large-scale meta-analysis not only expands the oral microbiome database but also enhances our ability to profile microbial communities through improved computational tools for taxonomic and functional analysis. These resources will facilitate future studies aimed at unraveling the composition, function, and dynamics of the oral microbiome and its role in human health. Future research should prioritize the ecological characterization of newly identified species, their interactions within the microbiome, and their contributions to oral health and disease. Expanding the diversity of datasets included in the oral microbiome database will be essential for achieving a more comprehensive understanding of this complex microbial ecosystem.
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