Skip to main content
Top
Published in: BMC Oral Health 1/2023

Open Access 01-12-2023 | Streptococci | Research

Oral microbial communities in 5-year-old children with versus without dental caries

Authors: Zhengyan Yang, Ting Cai, Yueheng Li, Dan Jiang, Jun Luo, Zhi Zhou

Published in: BMC Oral Health | Issue 1/2023

Login to get access

Abstract

Background

Caries in young children has received more and more attention. The study of the oral microbiota may help to understand the polymicrobial etiology of dental caries.

Objectives

To investigate the diversity and structure of microbial communities in saliva samples from 5-year-old children with versus without dental caries.

Methods

A total of 36 saliva samples were collected from 18 children with high caries (HB group) and from 18 children without caries (NB group). Then, 16S rDNA was amplified from bacterial samples using polymerase chain reaction, and high-throughput sequencing was performed using Illumina Novaseq platforms.

Results

Sequences were clustered into operational taxonomic units (OTUs), which were distributed among 16 phyla, 26 classes, 56 orders, 93 families, 173 genera, and 218 species. Firmicutes, Bacteroides, Proteobacteria, Actinobacteria, Fusobacteria, Patescibacteria, Epsilonbacteraeota, Cyanobacteria, Acidobacteria and Spirochaetes were basically the same in different groups, but their relative abundances were different. The core microbiome was defined as the species from 218 shared microbial taxa. The alpha diversity test showed that there were no significant differences in microbial abundance and diversity between the high caries and no caries groups. The results from principal coordinate analysis (PCoA) and hierarchical clustering showed that the two groups had similar microorganisms. The biomarkers of different groups were defined by LEfSe analysis to identify potential caries-related and health-related bacteria. Co-occurrence network analysis of dominant genera showed that oral microbial communities in the no caries group were more complex and aggregated than those in the high caries group. Finally, the PICRUSt algorithm was used to predict the function of the microbial communities from saliva samples. The obtained results showed that mineral absorption was greater in the no caries group than in the high caries group. BugBase was used to determine phenotypes present in microbial community samples. The obtained results showed that Streptococcus was greater in the high caries group than in the no caries group.

Conclusion

Findings of this study provide a comprehensive understanding of the microbiological etiology of dental caries in 5-year-old children and are expected to provide new methods for its prevention and treatment.
Appendix
Available only for authorised users
Literature
1.
go back to reference Wang X. The 4th National Oral Health Survey in the Mainland of China. Beijing: People’s Medical Publishing House; 2018. Wang X. The 4th National Oral Health Survey in the Mainland of China. Beijing: People’s Medical Publishing House; 2018.
2.
go back to reference Marsh PD. Microbial ecology of dental plaque and its significance in health and disease. Adv Dent Res. 1994;8(2):263–71.CrossRefPubMed Marsh PD. Microbial ecology of dental plaque and its significance in health and disease. Adv Dent Res. 1994;8(2):263–71.CrossRefPubMed
3.
go back to reference Marsh PD. Dental diseases--are these examples of ecological catastrophes? Int J Dent Hyg. 2006;4(Suppl 1):3–10 (discussion 50-52).CrossRefPubMed Marsh PD. Dental diseases--are these examples of ecological catastrophes? Int J Dent Hyg. 2006;4(Suppl 1):3–10 (discussion 50-52).CrossRefPubMed
4.
go back to reference Takahashi N, Nyvad B. Caries ecology revisited: microbial dynamics and the caries process. Caries Res. 2008;42(6):409–18.CrossRefPubMed Takahashi N, Nyvad B. Caries ecology revisited: microbial dynamics and the caries process. Caries Res. 2008;42(6):409–18.CrossRefPubMed
5.
go back to reference World Health Organization. Oral Health Surveys: Basic Methods. 5th ed. Geneva: World Health Organization; 2013. World Health Organization. Oral Health Surveys: Basic Methods. 5th ed. Geneva: World Health Organization; 2013.
6.
go back to reference Jiang Q, Liu J, Chen L, Gan N, Yang D. The oral microbiome in the elderly with dental caries and health. Front Cell Infect Microbiol. 2019;4(8):442.CrossRef Jiang Q, Liu J, Chen L, Gan N, Yang D. The oral microbiome in the elderly with dental caries and health. Front Cell Infect Microbiol. 2019;4(8):442.CrossRef
7.
go back to reference Robert Edgar C. UPARSE: highly accurate OTU sequences from microbial amplicon reads.[J]. Nat Methods. 2013;10(10):996–8.CrossRefPubMed Robert Edgar C. UPARSE: highly accurate OTU sequences from microbial amplicon reads.[J]. Nat Methods. 2013;10(10):996–8.CrossRefPubMed
9.
go back to reference Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics. 2011;27(16):2194–200.CrossRefPubMedPubMedCentral Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R. UCHIME improves sensitivity and speed of chimera detection. Bioinformatics. 2011;27(16):2194–200.CrossRefPubMedPubMedCentral
10.
go back to reference Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–7.CrossRefPubMedPubMedCentral Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol. 2007;73(16):5261–7.CrossRefPubMedPubMedCentral
11.
go back to reference Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41(Database issue):D590-6. Quast C, Pruesse E, Yilmaz P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013;41(Database issue):D590-6.
12.
go back to reference Schloss PD, Westcott SL, Ryabin T, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009;75(23):7537–41.CrossRefPubMedPubMedCentral Schloss PD, Westcott SL, Ryabin T, et al. Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009;75(23):7537–41.CrossRefPubMedPubMedCentral
13.
go back to reference Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol. 2007;73(5):1576–85.CrossRefPubMedPubMedCentral Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol. 2007;73(5):1576–85.CrossRefPubMedPubMedCentral
14.
go back to reference Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011;12(6):R60.CrossRefPubMedPubMedCentral Segata N, Izard J, Waldron L, Gevers D, Miropolsky L, Garrett WS, Huttenhower C. Metagenomic biomarker discovery and explanation. Genome Biol. 2011;12(6):R60.CrossRefPubMedPubMedCentral
15.
go back to reference Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 2023;51:D587–92.CrossRefPubMed Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 2023;51:D587–92.CrossRefPubMed
16.
go back to reference Ward T, Larson J, Meulemans J, et al. BugBase predicts organism level microbiome phenotypes. bioRxiv. 2017. Ward T, Larson J, Meulemans J, et al. BugBase predicts organism level microbiome phenotypes. bioRxiv. 2017.
17.
go back to reference Chen H, Jiang W. Application of high-throughput sequencing in understanding human oral microbiome related with health and disease. Front Microbiol. 2014;5:508.CrossRefPubMedPubMedCentral Chen H, Jiang W. Application of high-throughput sequencing in understanding human oral microbiome related with health and disease. Front Microbiol. 2014;5:508.CrossRefPubMedPubMedCentral
18.
go back to reference Chen T, Shi Y, Wang X, et al. High-throughput sequencing analyses of oral microbial diversity in healthy people and patients with dental caries and periodontal disease. Mol Med Rep. 2017;16(1):127–32.CrossRefPubMedPubMedCentral Chen T, Shi Y, Wang X, et al. High-throughput sequencing analyses of oral microbial diversity in healthy people and patients with dental caries and periodontal disease. Mol Med Rep. 2017;16(1):127–32.CrossRefPubMedPubMedCentral
19.
go back to reference Fábián TK, Fejérdy P, Csermely P. Salivary genomics, transcriptomics and proteomics: the emerging concept of the oral ecosystem and their use in the early diagnosis of cancer and other diseases. Curr Genomics. 2008;9(1):11–21.CrossRefPubMedPubMedCentral Fábián TK, Fejérdy P, Csermely P. Salivary genomics, transcriptomics and proteomics: the emerging concept of the oral ecosystem and their use in the early diagnosis of cancer and other diseases. Curr Genomics. 2008;9(1):11–21.CrossRefPubMedPubMedCentral
20.
go back to reference Jiang W, Ling Z, Lin X, et al. Pyrosequencing analysis of oral microbiota shifting in various caries states in childhood. Microb Ecol. 2014;67(4):962–9.CrossRefPubMed Jiang W, Ling Z, Lin X, et al. Pyrosequencing analysis of oral microbiota shifting in various caries states in childhood. Microb Ecol. 2014;67(4):962–9.CrossRefPubMed
21.
go back to reference Gross EL, Leys EJ, Gasparovich SR, et al. Bacterial 16S sequence analysis of severe caries in young permanent teeth. J Clin Microbiol. 2010;48(11):4121–8.CrossRefPubMedPubMedCentral Gross EL, Leys EJ, Gasparovich SR, et al. Bacterial 16S sequence analysis of severe caries in young permanent teeth. J Clin Microbiol. 2010;48(11):4121–8.CrossRefPubMedPubMedCentral
22.
23.
go back to reference Zhang WT. Macrogenomic study on oral microbial community in 3–5-year-old children with different caries sensitivity in three ethnic groups in Bozhou region. Xinjiang Medical University, 2019. Zhang WT. Macrogenomic study on oral microbial community in 3–5-year-old children with different caries sensitivity in three ethnic groups in Bozhou region. Xinjiang Medical University, 2019.
25.
go back to reference Teng F, Yang F, Huang S, et al. Prediction of early childhood caries via spatial-temporal variations of oral microbiota. Cell Host Microbe. 2015;8(3):296–306.CrossRef Teng F, Yang F, Huang S, et al. Prediction of early childhood caries via spatial-temporal variations of oral microbiota. Cell Host Microbe. 2015;8(3):296–306.CrossRef
26.
go back to reference He J, Tu Q, Ge Y, et al. Taxonomic and functional analyses of the supragingival microbiome from caries-affected and no caries hosts. Microb Ecol. 2018;75(2):543–54.CrossRefPubMed He J, Tu Q, Ge Y, et al. Taxonomic and functional analyses of the supragingival microbiome from caries-affected and no caries hosts. Microb Ecol. 2018;75(2):543–54.CrossRefPubMed
28.
go back to reference Xiao X, Li Y, Xiao L. The novel species and genus discovered and nominated from the human oral cavity in 2009–2012. West China J Stomatol. 2013;31(2):217–20. Xiao X, Li Y, Xiao L. The novel species and genus discovered and nominated from the human oral cavity in 2009–2012. West China J Stomatol. 2013;31(2):217–20.
29.
30.
31.
go back to reference Tanner AR, Kressirer CA, Faller LL. Understanding caries from the oral microbiome perspective. J Calif Dent Assoc. 2016;44(7):437–46.CrossRefPubMed Tanner AR, Kressirer CA, Faller LL. Understanding caries from the oral microbiome perspective. J Calif Dent Assoc. 2016;44(7):437–46.CrossRefPubMed
32.
go back to reference Kassebaum NJ, Smith AGC, Bernabé E, et al. Global, regional, and national prevalence, incidence, and disability-adjusted life years for oral conditions for 195 countries, 1990–2015: a systematic analysis for the global burden of diseases, injuries, and risk factors. J Dent Res. 2017;96(4):380–7.CrossRefPubMed Kassebaum NJ, Smith AGC, Bernabé E, et al. Global, regional, and national prevalence, incidence, and disability-adjusted life years for oral conditions for 195 countries, 1990–2015: a systematic analysis for the global burden of diseases, injuries, and risk factors. J Dent Res. 2017;96(4):380–7.CrossRefPubMed
33.
go back to reference Marsh PD, Zaura E. Dental biofilm: ecological interactions in health and disease. J Clin Periodontol. 2017;44(Suppl 18):S12–22.CrossRefPubMed Marsh PD, Zaura E. Dental biofilm: ecological interactions in health and disease. J Clin Periodontol. 2017;44(Suppl 18):S12–22.CrossRefPubMed
34.
go back to reference Wang Y, Wang S, Wu C, et al. Oral microbiome alterations associated with early childhood caries highlight the importance of carbohydrate metabolic activities. mSystems. 2019;4(6):e00450-19–19.CrossRefPubMedPubMedCentral Wang Y, Wang S, Wu C, et al. Oral microbiome alterations associated with early childhood caries highlight the importance of carbohydrate metabolic activities. mSystems. 2019;4(6):e00450-19–19.CrossRefPubMedPubMedCentral
35.
go back to reference Liu G, Wu C, Abrams WR, Li Y. Structural and functional characteristics of the microbiome in deep-dentin caries. J Dent Res. 2020;99(6):713–20.CrossRefPubMed Liu G, Wu C, Abrams WR, Li Y. Structural and functional characteristics of the microbiome in deep-dentin caries. J Dent Res. 2020;99(6):713–20.CrossRefPubMed
36.
go back to reference Milnes AR, Bowden GH. The microflora associated with developing lesions of nursing caries. Caries Res. 1985;19(4):289–97.CrossRefPubMed Milnes AR, Bowden GH. The microflora associated with developing lesions of nursing caries. Caries Res. 1985;19(4):289–97.CrossRefPubMed
37.
go back to reference Van Houte J, Jordan HV, Laraway R, et al. Association of the microbial flora of dental plaque and saliva with human root-surface caries. J Dent Res. 1990;69(8):1463–8.CrossRefPubMed Van Houte J, Jordan HV, Laraway R, et al. Association of the microbial flora of dental plaque and saliva with human root-surface caries. J Dent Res. 1990;69(8):1463–8.CrossRefPubMed
38.
go back to reference Ling Z, Kong J, Jia P, et al. Analysis of oral microbiota in children with dental caries by PCR-DGGE and barcoded pyrosequencing. Microb Ecol. 2010;60(3):677–90.CrossRefPubMed Ling Z, Kong J, Jia P, et al. Analysis of oral microbiota in children with dental caries by PCR-DGGE and barcoded pyrosequencing. Microb Ecol. 2010;60(3):677–90.CrossRefPubMed
39.
go back to reference Xu H, Hao W, Zhou Q, et al. Plaque bacterial microbiome diversity in children younger than 30 months with or without caries prior to eruption of second primary molars. PLoS ONE. 2014;9(2):e89269.CrossRefPubMedPubMedCentral Xu H, Hao W, Zhou Q, et al. Plaque bacterial microbiome diversity in children younger than 30 months with or without caries prior to eruption of second primary molars. PLoS ONE. 2014;9(2):e89269.CrossRefPubMedPubMedCentral
41.
go back to reference Parahitiyawa NB, Scully C, Leung WK, et al. Exploring the oral bacterial flora: current status and future directions. Oral Dis. 2010;16(2):136–45.CrossRefPubMed Parahitiyawa NB, Scully C, Leung WK, et al. Exploring the oral bacterial flora: current status and future directions. Oral Dis. 2010;16(2):136–45.CrossRefPubMed
42.
go back to reference Kirst ME, Li EC, Alfant B, et al. Dysbiosis and alterations in predicted functions of the subgingival microbiome in chronic periodontitis. Appl Environ Microbiol. 2015;81(2):783–93.CrossRefPubMedPubMedCentral Kirst ME, Li EC, Alfant B, et al. Dysbiosis and alterations in predicted functions of the subgingival microbiome in chronic periodontitis. Appl Environ Microbiol. 2015;81(2):783–93.CrossRefPubMedPubMedCentral
43.
go back to reference Shimada A, Noda M, Matoba Y, et al. Oral lactic acid bacteria related to the occurrence and/or progression of dental caries in Japanese preschool children. Biosci Microbiota Food Health. 2015;34(2):29–36.CrossRefPubMedPubMedCentral Shimada A, Noda M, Matoba Y, et al. Oral lactic acid bacteria related to the occurrence and/or progression of dental caries in Japanese preschool children. Biosci Microbiota Food Health. 2015;34(2):29–36.CrossRefPubMedPubMedCentral
44.
go back to reference Xu L, Chen X, Wang Y, et al. Dynamic alterations in salivary microbiota related to dental caries and age in preschool children with deciduous dentition: a 2-year follow-up study. Front Physiol. 2018;9:342.CrossRefPubMedPubMedCentral Xu L, Chen X, Wang Y, et al. Dynamic alterations in salivary microbiota related to dental caries and age in preschool children with deciduous dentition: a 2-year follow-up study. Front Physiol. 2018;9:342.CrossRefPubMedPubMedCentral
Metadata
Title
Oral microbial communities in 5-year-old children with versus without dental caries
Authors
Zhengyan Yang
Ting Cai
Yueheng Li
Dan Jiang
Jun Luo
Zhi Zhou
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Oral Health / Issue 1/2023
Electronic ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-023-03055-2

Other articles of this Issue 1/2023

BMC Oral Health 1/2023 Go to the issue