Evidence map›Paper›PMID 28983912›Full record

ArticleEvolution; international journal of organic evolution2017

The impact of bottlenecks on microbial survival, adaptation, and phenotypic switching in host-pathogen interactions.

Richard Moxon, Edo Kussell

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  17. Quantification ofProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Yeast Fermentate-Mediated Reduction ofFrontiers in microbiology · 2021
    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

2 authors.

Richard MoxonUniversity of Oxford Medical Sciences Division, John Radcliffe Hospital, Oxford, United Kingdom.
Edo KussellDepartment of Biology and Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, 10003.

Funding

Revealing Stochastic Switches in Bacteria: Theory, Modeling, and ExperimentsR01GM097356 · NIGMS · NEW YORK UNIVERSITY · PI KUSSELL, EDO L · 2011 to 2025
$4.4M
NIGMS NIH HHS R01 GM097356
6 · The paper itself

Abstract

Microbial pathogens and viruses can often maintain sufficient population diversity to evade a wide range of host immune responses. However, when populations experience bottlenecks, as occurs frequently during initiation of new infections, pathogens require specialized mechanisms to regenerate diversity. We address the evolution of such mechanisms, known as stochastic phenotype switches, which are prevalent in pathogenic bacteria. We analyze a model of pathogen diversification in a changing host environment that accounts for selective bottlenecks, wherein different phenotypes have distinct transmission probabilities between hosts. We show that under stringent bottlenecks, such that only one phenotype can initiate new infections, there exists a threshold stochastic switching rate below which all pathogen lineages go extinct, and above which survival is a near certainty. We determine how quickly stochastic switching rates can evolve by computing a fitness landscape for the evolutionary dynamics of switching rates, and analyzing its dependence on both the stringency of bottlenecks and the duration of within-host growth periods. We show that increasing the stringency of bottlenecks or decreasing the period of growth results in faster adaptation of switching rates. Our model provides strong theoretical evidence that bottlenecks play a critical role in accelerating the evolutionary dynamics of pathogens.

Indexed as

Biological EvolutionHost-Pathogen InteractionsSelection, GeneticAdaptation, BiologicalAnimalsBacteriaBacterial Physiological PhenomenaComputer SimulationEnvironmentGenetic FitnessHumansModels, TheoreticalPhenotypeExtinctionfitnessmodels/simulationsphenotypic plasticity

Identifiers

PMID28983912
PMCPMC5722657

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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.