Evidence map›Paper›PMID 28749935›Full record

ArticlePLoS computational biology2017

Growth of bacteria in 3-d colonies.

Xinxian Shao, Andrew Mugler, Justin Kim, Ha Jun Jeong, Bruce R Levin, Ilya Nemenman

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Cooperative antibiotic response in coupled biofilm and planktonicbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
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  20. Frequency dependent growth of bacteria in living materials.Frontiers in bioengineering and biotechnology · 2022
    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

6 authors.

Xinxian ShaoDepartment of Physics, Emory University, Atlanta, GA 30322, USA.ORCID http://orcid.org/0000-0001-8691-1590
Andrew MuglerDepartment of Physics, Emory University, Atlanta, GA 30322, USA.
Justin KimDepartment of Biology, Emory University, Atlanta, GA 30322, USA.
Ha Jun JeongDepartment of Biology, Emory University, Atlanta, GA 30322, USA.ORCID http://orcid.org/0000-0002-7909-813X
Bruce R LevinDepartment of Biology, Emory University, Atlanta, GA 30322, USA.ORCID http://orcid.org/0000-0003-3600-2780
Ilya NemenmanDepartment of Physics, Emory University, Atlanta, GA 30322, USA.ORCID http://orcid.org/0000-0003-3024-4244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of growth of bacterial populations has been extensively studied for planktonic cells in well-agitated liquid culture, in which all cells have equal access to nutrients. In the real world, bacteria are more likely to live in physically structured habitats as colonies, within which individual cells vary in their access to nutrients. The dynamics of bacterial growth in such conditions is poorly understood, and, unlike that for liquid culture, there is not a standard broadly used mathematical model for bacterial populations growing in colonies in three dimensions (3-d). By extending the classic Monod model of resource-limited population growth to allow for spatial heterogeneity in the bacterial access to nutrients, we develop a 3-d model of colonies, in which bacteria consume diffusing nutrients in their vicinity. By following the changes in density of E. coli in liquid and embedded in glucose-limited soft agar, we evaluate the fit of this model to experimental data. The model accounts for the experimentally observed presence of a sub-exponential, diffusion-limited growth regime in colonies, which is absent in liquid cultures. The model predicts and our experiments confirm that, as a consequence of inter-colony competition for the diffusing nutrients and of cell death, there is a non-monotonic relationship between total number of colonies within the habitat and the total number of individual cells in all of these colonies. This combined theoretical-experimental study reveals that, within 3-d colonies, E. coli cells are loosely packed, and colonies produce about 2.5 times as many cells as the liquid culture from the same amount of nutrients. We verify that this is because cells in liquid culture are larger than in colonies. Our model provides a baseline description of bacterial growth in 3-d, deviations from which can be used to identify phenotypic heterogeneities and inter-cellular interactions that further contribute to the structure of bacterial communities.

Indexed as

Escherichia coliCell Culture TechniquesComputational BiologyComputer SimulationModels, Biological

Identifiers

PMID28749935
PMCPMC5549765

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Registered trials

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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.