| Author | Oliveira, Simone G. | |
| Author | Nishiyama, Rafaela R. | |
| Author | Trigo, Claudio A. C. | |
| Author | Guaraldi, Ana Luiza Mattos | |
| Author | Dávila, Alberto M. R. | |
| Author | Jardim, Rodrigo | |
| Author | Aguiar, Flavio H. B. | |
| Access date | 2021-08-01T19:06:57Z | |
| Available date | 2021-08-01T19:06:57Z | |
| Document date | 2021 | |
| Citation | OLIVEIRA, Simone G. et al. Core of the saliva microbiome: an analysis of the MG-RAST data. BMC Oral Health, v. 21, n. 351, 10 p, 2021. | pt_BR |
| ISSN | 1472-6831 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/48463 | |
| Language | eng | pt_BR |
| Publisher | BMC | pt_BR |
| Rights | open access | |
| Subject in Portuguese | Núcleo de microbioma | pt_BR |
| Subject in Portuguese | Saliva | pt_BR |
| Subject in Portuguese | Sequenciamento de amplicon | pt_BR |
| Subject in Portuguese | Metagenômica de espingarda | pt_BR |
| Title | Core of the saliva microbiome: an analysis of the MG-RAST data | pt_BR |
| Type | Article | |
| DOI | 10.1186/s12903-021-01719-5 | |
| Abstract | Background: Oral microbiota is considered as the second most complex in the human body and its dysbiosis can be
responsible for oral diseases. Interactions between the microorganism communities and the host allow establishing
the microbiological proles. Identifying the core microbiome is essential to predicting diseases and changes in environ‑
mental behavior from microorganisms.
Methods: Projects containing the term “SALIVA”, deposited between 2014 and 2019 were recovered on the MG-RAST
portal. Quality (Failed), taxonomic prediction (Unknown and Predicted), species richness (Rarefaction), and species
diversity (Alpha) were analyzed according to sequencing approaches (Amplicon sequencing and Shotgun metagen‑
omics). All data were checked for normality and homoscedasticity. Metagenomic projects were compared using the
Mann–Whitney U test and Spearman’s correlation. Microbiome cores were inferred by Principal Component Analysis.
For all statistical tests, p<0.05 was used.
Results: The study was performed with 3 projects, involving 245 Amplicon and 164 Shotgun metagenome datasets.
All comparisons of variables, according to the type of sequencing, showed signifcant diferences, except for the
Predicted. In Shotgun metagenomics datasets the highest correlation was between Rarefaction and Failed (r= −0.78)
and the lowest between Alpha and Unknown (r= −0.12). In Amplicon sequencing datasets, the variables Rarefaction
and Unknown (r=0.63) had the highest correlation and the lowest was between Alpha and Predicted (r= −0.03).
Shotgun metagenomics datasets showed a greater number of genera than Amplicon. Propionibacterium, Lactobacil lus, and Prevotella were the most representative genera in Amplicon sequencing. In Shotgun metagenomics, the most
representative genera were Escherichia, Chitinophaga, and Acinetobacter.
Conclusions: Core of the salivary microbiome and genera diversity are dependent on the sequencing approaches.
Available data suggest that Shotgun metagenomics and Amplicon sequencing have similar sensitivities to detect the
taxonomic level investigated, although Shotgun metagenomics allows a deeper analysis of the microorganism diver‑
sity. Microbiome studies must consider characteristics and limitations of the sequencing approaches. Were identifed
20 genera in the core of saliva microbiome, regardless of the health condition of the host. Some bacteria of the core
need further study to better understand their role in the oral cavity. | pt_BR |
| Affilliation | Universidade Estadual de Campinas. Escola de Odontologia de Piracicaba. Departamento de Odontologia Restaurativa. Piracicaba, SP, Brasil / Universidade do Estado do Rio de Janeiro. Faculdade de Odontologia. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Universidade Estadual de Campinas. Escola de Odontologia de Piracicaba. Departamento de Odontologia Restaurativa. Piracicaba, SP, Brasil. | pt_BR |
| Affilliation | Universidade Estadual de Campinas. Escola de Odontologia de Piracicaba. Departamento de Odontologia Restaurativa. Piracicaba, SP, Brasil. | pt_BR |
| Affilliation | Universidade do Estado do Rio de Janeiro. Faculdade de Ciências Médicas. Laboratório de Difteria e Corynebacteria de Relevância Clínica. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Biologia Computacional e de Sistemas. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Universidade Estadual de Campinas. Escola de Odontologia de Piracicaba. Departamento de Odontologia Restaurativa. Piracicaba, SP, Brasil. | pt_BR |
| Subject | Microbiome core | pt_BR |
| Subject | Saliva | pt_BR |
| Subject | MG-RAST | pt_BR |
| Subject | Amplicon sequencing | pt_BR |
| Subject | Shotgun metagenomics | pt_BR |
| Subject | eHOMD | pt_BR |
