Evidence map›Paper›PMID 31363029›Full record

ArticlemBio2019

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

Miles Richardson, Neil Gottel, Jack A Gilbert, Simon Lax

Abstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Applied and environmental microbiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Microbiome-Based Stain Analyses in Crime Scenes.Applied and environmental microbiology · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Miles RichardsonDepartment of Systems Biology, Columbia University, New York, New York, USA miles.richardson@columbia.edu simonlax@mit.edu.ORCID 0000-0003-3004-1084
Neil GottelDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Jack A GilbertDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Simon LaxPhysics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA miles.richardson@columbia.edu simonlax@mit.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EntropyGenetic MarkersHumansMicrobiotaPhylogenyStudentsGenetic Markersbuilt environmentsmicrobial ecologymicrobial transmission

Identifiers

PMID31363029
PMCPMC6667619

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.