CoChat
Sign Up
Cited by 142Oral microbiology and periodontitis researchGut microbiota and healthMicrobial Community Ecology and Physiology

Characterizing oral microbial communities across dentition states and colonization niches

Open access
Mason, Matthew R., Chambers, Stephanie, Dabdoub, Shareef M., Thikkurissy, Sarat, Kumar, Purnima S.·2018·Microbiome
DOI 10.1186/s40168-018-0443-2PMC PMC5891995
Open this paper in CoChat — free accountOpen PDF

Abstract

METHODS: The present study aimed to identify patterns and processes in acquisition of oral bacteria and to characterize the microbiota of different dentition states and habitats. Mucosal, salivary, supragingival, and subgingival biofilm samples were collected from orally and systemically healthy children and mother-child dyads in predentate, primary, mixed, and permanent dentitions. 16S rRNA gene sequences were compared to the Human Oral Microbiome Database (HOMD). Functional potential was inferred using PICRUSt. RESULTS: Unweighted and weighted UniFrac distances were significantly smaller between each mother-predentate dyad than infant-unrelated female dyads. Predentate children shared a median of 85% of species-level operational taxonomic units (s-OTUs) and 100% of core s-OTUs with their mothers. Maternal smoking, but not gender, mode of delivery, feeding habits, or type of food discriminated between predentate microbial profiles. The primary dentition demonstrated expanded community membership, structure, and function when compared to the predentate stage, as well as significantly lower similarity between mother-child dyads. The primary dentition also included 85% of predentate core s-OTUs. Subsequent dentitions exhibited over 90% similarity to the primary dentition in phylogenetic and functional structure. Species from the predentate mucosa as well as new microbial assemblages were identified in the primary supragingival and subgingival microbiomes. All individuals shared 65% of species between supragingival and subgingival habitats; however, the salivary microbiome exhibited less than 35% similarity to either habitat. CONCLUSIONS: Within the limitations of a cross-sectional study design, we identified two definitive stages in oral bacterial colonization: an early predentate imprinting and a second wave with the eruption of primary teeth. Bacterial acquisition in the oral microbiome is influenced by the maternal microbiome. Personalization begins with the eruption of primary teeth; however, this is limited to phylogeny; functionally, individuals exhibit few differences, suggesting that microbial assembly may follow a defined schematic that is driven by the functional requirements of the ecosystem. This early microbiome forms the foundation upon which newer communities develop as more colonization niches emerge, and expansion of biodiversity is attributable to both introduction of new species and increase in abundance of predentate organisms.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s40168-018-0443-2

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The most frequently detected early colonizers of the predental oral cavity include Streptococcus, Staphylococcus, and Fusobacterium species.

    “The most frequently detected early colonizers of the predental oral cavity include Streptococcus, Staphylococcus, and Fusobacterium species.142, 143”

    From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [143]

  • Salivary microbial communities from primary teeth-only cohorts demonstrate greater microbial diversity than pre-dentate, mixed dentition, and permanent teeth cohorts.

    “Interestingly, salivary microbial communities from oral cavities of primary teeth‐only cohorts demonstrate greater microbial diversity than do pre‐dentate, mixed dentition, and permanent teeth cohorts.”

    From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [143]

  • Among infants, phylogenetic divergences across individuals are observed prior to eruption of deciduous teeth, but functional signatures remain conserved.

    “Among infants, phylogenetic divergences across individuals are observed prior to eruption of deciduous teeth143; however, functional signatures remain conserved.143”

    From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [143]

  • Tooth eruption introduces the relative abundance of Streptococcus, Gemella, Granulicatella, and Veillonella species.

    “Tooth eruption introduces the relative abundance of Streptococcus, Gemella, Granulicatella, and Veillonella species.143”

    From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [143]

  • Exfoliation of primary dentition, the presence of mixed dentition, and the emergence of permanent teeth continue to alter the oral microbiome in early life and childhood.

    “Exfoliation of primary dentition, the presence of mixed dentition, and the emergence of permanent teeth continue to alter the oral microbiome in early life and childhood.143”

    From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [143]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Mason, M. R., Chambers, S., Dabdoub, S. M., Thikkurissy, S., & Kumar, P. S.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • Nationwide Children's Hospital (US)
  • The Ohio State University (US)
  • Cincinnati Children's Hospital Medical Center (US)
Corresponding author
Kumar, Purnima S.
ORCID
Venue
Microbiome
Publisher
Springer Science and Business Media LLC
Published
2018-04-10
Volume
6
Issue
1
Pages
67-67
ISSN
2049-2618 (ISSN-L)
DOI
10.1186/s40168-018-0443-2
PMC
PMC5891995
OpenAlex
W2798163555
Cited by
142
References
40
Citations by year
2026: 15 · 2025: 17 · 2024: 19 · 2023: 21 · 2022: 29 · 2021: 21 · 2020: 11 · 2019: 7 · 2018: 2
FWCI
11.78
Type
journal article
Language
en
Open access
Licence
Locations
  • Microbiome (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute of Dental and Craniofacial Research (R01-DE022579, T32-DE014320, F30- DE024940)
Topics
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
Keywords
oral microbiota, bacterial colonization, primary teeth, maternal microbiome, mother-child dyads, salivary microbiome, supragingival plaque, subgingival plaque, mucosal microbiota, maternal smoking, 16S rRNA gene sequencing
MeSH terms
Cross-Sectional Studies, Dentition, Gingiva, Humans, Mouth, Phylogeny, RNA, Ribosomal, 16S, Saliva, Biodiversity, Metagenome, Metagenomics, Microbiota

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review