A case study of salivary microbiome in smokers and non-smokers in Hungary: analysis by shotgun metagenome sequencing

J Oral Microbiol. 2020 Jun 7;12(1):1773067. doi: 10.1080/20002297.2020.1773067.

Abstract

Objective: To investigate the role of cigarette smoking in disease-development through altering the composition of the oral microbial community. Periodontitis and oral cancer are highly prevalent in Hungary; therefore, the salivary microbiome of smoker and non-smoker Hungarian adults was characterized.

Methods: Shotgun metagenome sequencing of salivary DNA samples from 22 individuals (11 non-smokers and 11 current smokers) was performed using the Ion Torrent PGMTM platform. Quality-filtered reads were analysed by both alignment-based sequence similarity searches and genome-centric binning.

Results: Prevotella, Veillonella and Streptococcus were the predominant genera in the saliva of both groups. Although the overall composition and diversity of the microbiota were similar, Prevotella was significantly more abundant in salivary samples of current smokers compared to non-smokers. Members of the genus Prevotella were implicated in the development of inflammatory diseases and oral cancer. The abundance of the genus Megasphaera also increased in current smokers, whereas the genera Neisseria, Oribacterium, Capnocytophaga and Porphyromonas were significantly reduced. The data generated by read-based taxonomic classification and genome-centric binning mutually validated the two distinct metagenomic approaches.

Conclusion: Smoking-associated dysbiosis of the salivary microbiome in current cigarette smokers, especially increased abundance of Prevotella and Megasphaera genera, may facilitate disease development.

Keywords: Megasphaera; Prevotella; Smoking; genome-centric binning; oral cancer; read-based taxonomy; saliva metagenome.

Grants and funding

This work was supported by the European Union Economic Development and Innovation Operational Programme, National Research, Development and Innovation Office (NKFIH), Hungary [GINOP-2.3.2-15-2016-00011]; European Union Economic Development and Innovation Operational Programme, National Research, Development and Innovation Office (NKFIH), Hungary [GINOP-2.3.2-15-2016-00011]; Hungarian NKFIH fund [FK123899]; European Union Economic Development and Innovation Operational Programme, National Research, Development and Innovation Office (NKFIH) [EFOP-3.6.2-16-2017-00010]; European Union Economic Development and Innovation Operational Programme, National Research, Development and Innovation Office (NKFIH), Hungary [2.2.1-15-2017-00033]; European Union Economic Development and Innovation Operational Programme, National Research, Development and Innovation Office (NKFIH), Hungary [GINOP-2.3.2-15-2017-00811]; Hungarian NKFIH fund [PD121085].