Evidence map›Paper›PMID 42584065›Full record

ArticleMicrobiology spectrum2026

Dental wastewater reveals a hidden reservoir of oral bacteriophage diversity.

Carli Roush, Marvin Whiteley

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Carli RoushCenter for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-5992-9944
Marvin WhiteleyCenter for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID 0000-0002-4933-9983

Funding

Probing Polymicrobial Synergy Using hihg Throughout GenomicsR01DE023193 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI LAMONT, RICHARD J, WHITELEY, MARVIN · 2013 to 2023
$4.7M
Metabolite sensing in a polymicrobial infectionR01DE020100 · NIDCR · UNIVERSITY OF TEXAS AT AUSTIN · PI WHITELEY, MARVIN · 2011 to 2022
$3.3M
NIDCR NIH HHS R01 DE020100NIDCR NIH HHS R01DE020100NIDCR NIH HHS R01 DE023193NIDCR NIH HHS R01DE023193
6 · The paper itself

Abstract

Bacteriophages (phages) are being explored as alternatives or complements to antibiotics because of their ability to selectively kill bacterial pathogens. However, phages that infect many oral bacteria remain undiscovered. Here, we discovered that dental wastewater harbors previously underexplored phage diversity. Viral particles concentrated from dental wastewater displayed diverse morphologies, including abundant filamentous phage-like particles. Deep long-read metagenomic sequencing of concentrated viral particles generated 7.4 billion bases of sequence data and yielded 255 medium- to high-quality viral operational taxonomic units (vOTUs), including 46 predicted complete genomes. Comparison with large phage databases revealed that 63 of these 255 vOTUs had no detectable match, indicating that extensive sequencing of dental wastewater substantially expands the number of potential bacteriophages associated with the human oral microbiome. Host prediction linked many vOTUs to oral-associated bacterial taxa, including species with few or no previously reported phages, such as

Indexed as

BacteriaBacteriophagesMouthWastewaterGenome, ViralHumansMetagenomeMetagenomicsMicrobiotaPhylogenyPorphyromonas gingivalisTannerella forsythiaWastewaterbacteriophagedental wastewateroral microbiomeperiodontal diseasephageomeviral metagenomics

Identifiers

PMID42584065
PMCPMC13532340

What Socratic holds

Textmetadata
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 Socratic graph.