Evidence map›Paper›PMID 28414716›Full record

ArticlePLoS computational biology2017

Dynamics of adaptive immunity against phage in bacterial populations.

Serena Bradde, Marija Vucelja, Tiberiu Teşileanu, Vijay Balasubramanian

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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Application of Bacteriophages to LimitFrontiers in microbiology · 2021
    Review
  10. CRISPR recognizes as many phage types as possible without overwhelming the Cas machinery.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Cost and benefits of clustered regularly interspaced short palindromic repeats spacer acquisition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  13. Article
  14. How adaptive immunity constrains the composition and fate of large bacterial populations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Article
  16. Optimal number of spacers in CRISPR arrays.PLoS computational biology · 2017
    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.

Serena BraddeInitiative for the Theoretical Sciences, The Graduate Center, CUNY, New York, New York, United States of America.ORCID 0000-0001-8410-2992
Marija VuceljaCenter for Studies in Physics and Biology, The Rockefeller University, New York, New York, United States of America.ORCID 0000-0003-0742-5290
Tiberiu TeşileanuInitiative for the Theoretical Sciences, The Graduate Center, CUNY, New York, New York, United States of America.ORCID 0000-0003-3107-3088
Vijay BalasubramanianInitiative for the Theoretical Sciences, The Graduate Center, CUNY, New York, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The CRISPR (clustered regularly interspaced short palindromic repeats) mechanism allows bacteria to adaptively defend against phages by acquiring short genomic sequences (spacers) that target specific sequences in the viral genome. We propose a population dynamical model where immunity can be both acquired and lost. The model predicts regimes where bacterial and phage populations can co-exist, others where the populations exhibit damped oscillations, and still others where one population is driven to extinction. Our model considers two key parameters: (1) ease of acquisition and (2) spacer effectiveness in conferring immunity. Analytical calculations and numerical simulations show that if spacers differ mainly in ease of acquisition, or if the probability of acquiring them is sufficiently high, bacteria develop a diverse population of spacers. On the other hand, if spacers differ mainly in their effectiveness, their final distribution will be highly peaked, akin to a "winner-take-all" scenario, leading to a specialized spacer distribution. Bacteria can interpolate between these limiting behaviors by actively tuning their overall acquisition probability.

Indexed as

BacteriaBacteriophagesComputational BiologyCRISPR-Cas SystemsGenome, BacterialHost-Pathogen InteractionsModels, Biological

Identifiers

PMID28414716
PMCPMC5411097

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.