Evidence map›Paper›PMID 27152511›Full record

ArticlePloS one2016

Stochastic Assembly of Bacteria in Microwell Arrays Reveals the Importance of Confinement in Community Development.

Ryan H Hansen, Andrea C Timm, Collin M Timm, Amber N Bible, Jennifer L Morrell-Falvey, Dale A Pelletier, Michael L Simpson, Mitchel J Doktycz, Scott T Retterer

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Habitat fragmentation enhances microbial collective defence.Journal of the Royal Society, Interface · 2025
    Article
  5. Article
  6. Microbiome engineering for bioremediation of emerging pollutants.Bioprocess and biosystems engineering · 2023
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Experimental and computational approaches to unravel microbial community assembly.Computational and structural biotechnology journal · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ryan H HansenKansas State University, Manhattan, Kansas, United States of America.
Andrea C TimmOak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.
Collin M TimmOak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.
Amber N BibleOak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.
Jennifer L Morrell-FalveyThe University of Tennessee, Knoxville, Tennessee, United States of America.
Dale A PelletierOak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America.
Michael L SimpsonThe University of Tennessee, Knoxville, Tennessee, United States of America.
Mitchel J DoktyczThe University of Tennessee, Knoxville, Tennessee, United States of America.
Scott T RettererThe University of Tennessee, Knoxville, Tennessee, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structure and function of microbial communities is deeply influenced by the physical and chemical architecture of the local microenvironment and the abundance of its community members. The complexity of this natural parameter space has made characterization of the key drivers of community development difficult. In order to facilitate these characterizations, we have developed a microwell platform designed to screen microbial growth and interactions across a wide variety of physical and initial conditions. Assembly of microbial communities into microwells was achieved using a novel biofabrication method that exploits well feature sizes for control of innoculum levels. Wells with incrementally smaller size features created populations with increasingly larger variations in inoculum levels. This allowed for reproducible growth measurement in large (20 μm diameter) wells, and screening for favorable growth conditions in small (5, 10 μm diameter) wells. We demonstrate the utility of this approach for screening and discovery using 5 μm wells to assemble P. aeruginosa colonies across a broad distribution of innoculum levels, and identify those conditions that promote the highest probability of survivial and growth under spatial confinement. Multi-member community assembly was also characterized to demonstrate the broad potential of this platform for studying the role of member abundance on microbial competition, mutualism and community succession.

Indexed as

Stochastic ProcessesMicroscopy, FluorescenceProbabilityPseudomonas aeruginosa

Identifiers

PMID27152511
PMCPMC4859483

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.