Evidence map›Paper›PMID 31265463›Full record

ArticlePLoS computational biology2019

Molecular noise of innate immunity shapes bacteria-phage ecologies.

Jakob Ruess, Maroš Pleška, Cǎlin C Guet, Gašper Tkačik

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Using single-cell models to predict the functionality of synthetic circuits at the population scale.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  5. 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.

Jakob RuessInria Saclay - Ile-de-France, 91120 Palaiseau, France.ORCID 0000-0003-1615-3282
Maroš PleškaInstitute of Science and Technology Austria, A-3400 Klosterneuburg, Austria.ORCID 0000-0001-7460-7479
Cǎlin C GuetInstitute of Science and Technology Austria, A-3400 Klosterneuburg, Austria.
Gašper TkačikInstitute of Science and Technology Austria, A-3400 Klosterneuburg, Austria.ORCID 0000-0002-6699-1455

Funding

Austrian Science Fund FWF P 28844
6 · The paper itself

Abstract

Mathematical models have been used successfully at diverse scales of biological organization, ranging from ecology and population dynamics to stochastic reaction events occurring between individual molecules in single cells. Generally, many biological processes unfold across multiple scales, with mutations being the best studied example of how stochasticity at the molecular scale can influence outcomes at the population scale. In many other contexts, however, an analogous link between micro- and macro-scale remains elusive, primarily due to the challenges involved in setting up and analyzing multi-scale models. Here, we employ such a model to investigate how stochasticity propagates from individual biochemical reaction events in the bacterial innate immune system to the ecology of bacteria and bacterial viruses. We show analytically how the dynamics of bacterial populations are shaped by the activities of immunity-conferring enzymes in single cells and how the ecological consequences imply optimal bacterial defense strategies against viruses. Our results suggest that bacterial populations in the presence of viruses can either optimize their initial growth rate or their population size, with the first strategy favoring simple immunity featuring a single restriction modification system and the second strategy favoring complex bacterial innate immunity featuring several simultaneously active restriction modification systems.

Indexed as

BacteriaBacteriophagesComputational BiologyDNA Restriction-Modification EnzymesEcosystemImmunity, InnateMicrobial ConsortiaModels, BiologicalModels, ImmunologicalSingle-Cell AnalysisStochastic ProcessesDNA Restriction-Modification Enzymes

Identifiers

PMID31265463
PMCPMC6629147

What OpenQuestion holds

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LicenceCC BY
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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.