Evidence map›Paper›PMID 36073311›Full record

ArticleMolecular oral microbiology2022

Site-tropism of streptococci in the oral microbiome.

Anthony R McLean, Julian Torres-Morales, Floyd E Dewhirst, Gary G Borisy, Jessica L Mark Welch

Open access · greenAbstract read
In one paragraph

Article in Molecular oral microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Site-specialization of human oralbioRxiv : the preprint server for biology · 2026
    Article
  7. Spatial ecology of theMicrobiology spectrum · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Digital PCR linkage analysis resolvesMicrobiology spectrum · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. A strain ofApplied and environmental microbiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Anthony R McLeanThe Forsyth Institute, Cambridge, Massachusetts, USA.ORCID 0000-0002-9086-6144
Julian Torres-MoralesThe Forsyth Institute, Cambridge, Massachusetts, USA.ORCID 0000-0002-2989-2175
Floyd E DewhirstThe Forsyth Institute, Cambridge, Massachusetts, USA.ORCID 0000-0003-4427-7928
Gary G BorisyThe Forsyth Institute, Cambridge, Massachusetts, USA.ORCID 0000-0002-0266-8018
Jessica L Mark WelchThe Forsyth Institute, Cambridge, Massachusetts, USA.ORCID 0000-0003-0696-2334
Marine Biological Laboratory · USHarvard University · US

Funding

Spatial Organization of the Oral MicrobiomeR01DE022586 · NIDCR · MARINE BIOLOGICAL LABORATORY · PI Jessica Leigh Mark Welch · 2013 to 2026
$8.7M
Cloud-Based Machine Learning and Biomarker Visual Analytics for Salivary ProteomicsR01DE016937 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI DEWHIRST, FLOYD E, MARK WELCH, JESSICA LEIGH · 2021 to 2025
$6.7M
Metapangenomics of the Oral MicrobiomeR01DE030136 · NIDCR · ADA FORSYTH INSTITUTE, INC. · PI BORISY, GARY G, DEWHIRST, FLOYD E · 2021 to 2025
$3.0M
Mechanisms underlying spatial interaction in the oral microbiotaR01DE027958 · NIDCR · UNIVERSITY OF RHODE ISLAND · PI RAMSEY, MATTHEW · 2019 to 2023
$1.9M
NIDCR NIH HHS R01 DE016937NIDCR NIH HHS R01 DE022586NIDCR NIH HHS R01 DE027958NIDCR NIH HHS R01 DE030136
6 · The paper itself

Abstract

A detailed understanding of where bacteria localize is necessary to advance microbial ecology and microbiome-based therapeutics. The site-specialist hypothesis predicts that most microbes in the human oral cavity have a primary habitat type within the mouth where they are most abundant. We asked whether this hypothesis accurately describes the distribution of the members of the genus Streptococcus, a clinically relevant taxon that dominates most oral sites. Prior analysis of 16S rRNA gene sequencing data indicated that some oral Streptococcus clades are site-specialists while others may be generalists. However, within complex microbial populations composed of numerous closely related species and strains, such as the oral streptococci, genome-scale analysis is necessary to provide the resolution to discriminate closely related taxa with distinct functional roles. Here, we assess whether individual species within this genus are specialists using publicly available genomic sequence data that provide species-level resolution. We chose a set of high-quality representative genomes for human oral Streptococcus species. Onto these genomes, we mapped shotgun metagenomic sequencing reads from supragingival plaque, tongue dorsum, and other sites in the oral cavity. We found that every abundant Streptococcus species in the healthy human oral cavity showed strong site-tropism and that even closely related species such as S. mitis, S. oralis, and S. infantis specialized in different sites. These findings indicate that closely related bacteria can have distinct habitat distributions in the absence of dispersal limitation and under similar environmental conditions and immune regimes. Substantial overlap between the core genes of these three species suggests that site-specialization is determined by subtle differences in genomic content.

Indexed as

MicrobiotaStreptococcusBacteriaHumansMetagenomeMouthPhylogenyRNA, Ribosomal, 16STropismRNA, Ribosomal, 16Sbiogeographymetagenomepangenomespatial organizationspatial structure

Identifiers

PMID36073311
PMCPMC9691528
OpenAlexW4294992330

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.