Evidence map›Paper›PMID 34819498›Full record

ArticleNature communications2021

Ecological memory preserves phage resistance mechanisms in bacteria.

Antun Skanata, Edo Kussell

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. A heritable iron memory enables decision-making inProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
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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

2 authors at 1 institution in 1 country.

Antun SkanataDepartment of Biology & Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA.
Edo KussellDepartment of Biology & Center for Genomics and Systems Biology, New York University, New York, NY, 10003, USA. edo.kussell@nyu.edu.ORCID http://orcid.org/0000-0003-0590-4036
New York University · US

Funding

Revealing Stochastic Switches in Bacteria: Theory, Modeling, and ExperimentsR01GM097356 · NIGMS · NEW YORK UNIVERSITY · PI KUSSELL, EDO L · 2011 to 2025
$4.4M
Memory in Bacterial Responses to Fluctuating StressR01GM120231 · NIGMS · NEW YORK UNIVERSITY · PI KUSSELL, EDO L · 2016 to 2019
$1.3M
NIGMS NIH HHS R01 GM097356NIGMS NIH HHS R01 GM120231
6 · The paper itself

Abstract

Bacterial defenses against phage, which include CRISPR-mediated immunity and other mechanisms, can carry substantial growth rate costs and can be rapidly lost when pathogens are eliminated. How bacteria preserve their molecular defenses despite their costs, in the face of variable pathogen levels and inter-strain competition, remains a major unsolved problem in evolutionary biology. Here, we present a multilevel model that incorporates biophysics of molecular binding, host-pathogen population dynamics, and ecological dynamics across a large number of independent territories. Using techniques of game theory and non-linear dynamical systems, we show that by maintaining a non-zero failure rate of defenses, hosts sustain sufficient levels of pathogen within an ecology to select against loss of the defense. This resistance switching strategy is evolutionarily stable, and provides a powerful evolutionary mechanism that maintains host-pathogen interactions, selects against cheater strains that avoid the costs of immunity, and enables co-evolutionary dynamics in a wide range of systems.

Indexed as

BacteriaBacteriophagesHost-Pathogen InteractionsImmunologic Memory

Identifiers

PMID34819498
PMCPMC8613279
OpenAlexW3216635614

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.