Evidence map›Paper›PMID 41405224›Full record

ArticleMicrobiology spectrum2026

Microbiome dynamics in the congregate environment of U.S. Army Infantry training.

Car Reen Kok, Michael D Morrison, James B Thissen, Shalini Mabery, M Leigh Carson, Jeffrey A Kimbrel, Jason W Bennett, David R Tribble, Eugene V Millar, Katrin Mende and 1 more

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

11 authors.

Car Reen KokLawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0009-0001-1131-9784
Michael D MorrisonLawrence Livermore National Laboratory, Livermore, California, USA.
James B ThissenLawrence Livermore National Laboratory, Livermore, California, USA.
Shalini MaberyLawrence Livermore National Laboratory, Livermore, California, USA.
M Leigh CarsonDepartment of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Jeffrey A KimbrelLawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0001-7213-9392
Jason W BennettWalter Reed Army Institute of Research, Silver Spring, Maryland, USA.
David R TribbleDepartment of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Eugene V MillarDepartment of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Katrin MendeDepartment of Preventive Medicine and Biostatistics, Infectious Disease Clinical Research Program, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Nicholas A BeLawrence Livermore National Laboratory, Livermore, California, USA.ORCID 0000-0003-3478-3077

Funding

Laboratory Directed Research and Development 20-FS-029National Institute of Allergy and Infectious Diseases Y1-Al-5072U.S. Department of Defense HU0001190002
6 · The paper itself

Abstract

Within military training and operational environments, individuals from diverse backgrounds share common spaces, follow structured routines and diets, and engage in physically demanding tasks. While there has been interest in leveraging microbiome features to predict and improve military health and performance, the longitudinal convergence of microbiomes in such constrained environments has not been established. To assess the degree of microbiome convergence, we performed shotgun metagenomic sequencing on swab samples from a military trainee cohort. Samples were taken across four different body sites, three timepoints, and two spatially distinct platoons. We observed evidence of convergence in one platoon, whereby similarity in microbiome composition increased over time, with numerous differentially abundant species. We found no indication of strain transfer between individuals, suggesting that convergence was influenced by external environmental factors, diet, and lifestyle. Microbial shifts observed in the convergence process included a decrease in fungal species, such as

Indexed as

BacteriaMicrobiotaMilitary PersonnelAdultFemaleFungiHumansMaleMetagenomicsUnited Statesinfection diagnosticmetagenomicsmicrobial genomicsmicrobiomemilitary medicinemilitary trainingnosocomial pathogen

Identifiers

PMID41405224
PMCPMC12889126

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.