Evidence map›Paper›PMID 31630946›Full record

ArticleCurrent biology : CB2019

Spatial Organization of Expanding Bacterial Colonies Is Affected by Contact-Dependent Growth Inhibition.

Michael J Bottery, Ioannis Passaris, Calvin Dytham, A Jamie Wood, Marjan W van der Woude

Open access · hybridAbstract read
In one paragraph

Article in Current biology : CB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
16.5field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 48 citations in OpenAlex.

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  20. Antimicrobial Weapons of Pseudomonas aeruginosa.Advances in experimental medicine and biology · 2022
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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

5 authors at 1 institution in 1 country.

Michael J BotteryCentre for Immunology and Infection and Hull York Medical School, University of York, York YO10 5DD, UK; Department of Biology, University of York, York YO10 5DD, UK.
Ioannis PassarisCentre for Immunology and Infection and Hull York Medical School, University of York, York YO10 5DD, UK; Department of Biology, University of York, York YO10 5DD, UK.
Calvin DythamDepartment of Biology, University of York, York YO10 5DD, UK.
A Jamie WoodDepartment of Biology, University of York, York YO10 5DD, UK; Department of Mathematics, University of York, York YO10 5DD, UK. Electronic address: jamie.wood@york.ac.uk.
Marjan W van der WoudeCentre for Immunology and Infection and Hull York Medical School, University of York, York YO10 5DD, UK; York Biomedical Research Institute, University of York YO10 5DD, UK. Electronic address: marjan.vanderwoude@york.ac.uk.
University of York · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M023044/1
6 · The paper itself

Abstract

Identifying how microbes are able to manipulate, survive, and thrive in complex multispecies communities has expanded our understanding of how microbial ecosystems impact human health and the environment. The ability of bacteria to negatively affect neighbors, through explicit toxin delivery systems, provides them with an opportunity to manipulate the composition of growing microbial communities. Contact-dependent inhibition (CDI) systems (a Type Vb secretion system) are a distinct subset of competition systems whose contribution to shaping the development of spatially structured bacterial communities are yet to be fully understood. Here, we compare the impact of different CDI systems, at both the single-cell and population level, to determine the key drivers of CDI-mediated competition within spatially structured bacterial populations. Through an iterative approach using both an Escherichia coli experimental system and computational modeling, we show that CDI systems have subtle and system-specific effects at the single-cell level, generating single-cell-wide boundaries between CDI-expressing inhibitor cells and their neighboring targets. Despite the subtle effects of CDI at a single-cell level, CDI systems greatly diminished the ability of susceptible targets to expand their range during colony growth. The inoculum density of the population, together with the CDI system-specific variables of the speed of inhibition after contact and biological cost of CDI, strongly affects CDI-mediated competition. In contrast, the magnitude of the toxin-induced growth retardation of target cells only weakly impacts the composition of the population. Our work reveals how distinct CDI systems can differentially affect the composition and spatial arrangement of bacterial populations.

Indexed as

Contact InhibitionMicrobial InteractionsComputational BiologyEscherichia coliMicroorganisms, Genetically-ModifiedModels, BiologicalPopulation DynamicsSalmonella typhimuriumSpatial AnalysisCDIcompetitioncompetition systemscontact-dependent inhibitionEscherichia coliindividual-based modelingspatial structuretype V secretion system

Identifiers

PMID31630946
PMCPMC6839403
OpenAlexW2980801074

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.