Microbial Similarity between Students in a Common Dormitory Environment Reveals the Forensic Potential of Individual Microbial Signatures.


Journal

mBio
ISSN: 2150-7511
Titre abrégé: mBio
Pays: United States
ID NLM: 101519231

Informations de publication

Date de publication:
30 07 2019
Historique:
entrez: 1 8 2019
pubmed: 1 8 2019
medline: 28 4 2020
Statut: epublish

Résumé

The microbiota of the built environment is an amalgamation of both human and environmental sources. While human sources have been examined within single-family households or in public environments, it is unclear what effect a large number of cohabitating people have on the microbial communities of their shared environment. We sampled the public and private spaces of a college dormitory, disentangling individual microbial signatures and their impact on the microbiota of common spaces. We compared multiple methods for marker gene sequence clustering and found that minimum entropy decomposition (MED) was best able to distinguish between the microbial signatures of different individuals and was able to uncover more discriminative taxa across all taxonomic groups. Further, weighted UniFrac- and random forest-based graph analyses uncovered two distinct spheres of hand- or shoe-associated samples. Using graph-based clustering, we identified spheres of interaction and found that connection between these clusters was enriched for hands, implicating them as a primary means of transmission. In contrast, shoe-associated samples were found to be freely interacting, with individual shoes more connected to each other than to the floors they interact with. Individual interactions were highly dynamic, with groups of samples originating from individuals clustering freely with samples from other individuals, while all floor and shoe samples consistently clustered together.

Identifiants

pubmed: 31363029
pii: mBio.01054-19
doi: 10.1128/mBio.01054-19
pmc: PMC6667619
pii:
doi:

Substances chimiques

Genetic Markers 0

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2019 Richardson et al.

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Auteurs

Miles Richardson (M)

Department of Systems Biology, Columbia University, New York, New York, USA miles.richardson@columbia.edu simonlax@mit.edu.
Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, New York, USA.

Neil Gottel (N)

Department of Pediatrics, University of California San Diego, La Jolla, California, USA.

Jack A Gilbert (JA)

Department of Pediatrics, University of California San Diego, La Jolla, California, USA.

Simon Lax (S)

Physics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA miles.richardson@columbia.edu simonlax@mit.edu.

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Classifications MeSH