Evidence map›Paper›PMID 40666980›Full record

ArticlebioRxiv : the preprint server for biology2025

Microbiome diversity of low biomass skin sites is captured by metagenomics but not 16S amplicon sequencing.

Laura Markey, Evan B Qu, Calen Mendall, Ana Finzel, Arne Materna, Tami D Lieberman

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Laura MarkeyInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA, United States.ORCID 0009-0003-3164-5194
Evan B QuInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA, United States.
Calen MendallInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA, United States.
Ana FinzelBio-Me AS; Oslo Science Park, Gaustadalleen 21, Oslo, Norway.
Arne MaternaBio-Me AS; Oslo Science Park, Gaustadalleen 21, Oslo, Norway.
Tami D LiebermanInstitute for Medical Engineering and Sciences, Massachusetts Institute of Technology; Cambridge, MA, United States.

Funding

An Evolutionary Framework For Identifying Determinants Of Colonization In Human MicrobiomesDP2GM140922 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LIEBERMAN, TAMI D · 2020 to 2020
$2.3M
NIGMS NIH HHS DP2 GM140922
6 · The paper itself

Abstract

Established workflows for microbiome analysis work well for high microbial biomass samples, like stool, but often fail to accurately define microbial communities when applied to low microbial biomass samples. Here, we systemically compare microbiome analysis methods -16S rRNA sequencing, shallow metagenomics, and qPCR PMP

Identifiers

PMID40666980
PMCPMC12262292

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.