Evidence map›Paper›PMID 26279233›Full record

ArticleCurrent biology : CB2015

Phenotypic Diversity as a Mechanism to Exit Cellular Dormancy.

Alexander Sturm, Jonathan Dworkin

Abstract read
In one paragraph

Article in Current biology : CB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Journal of bacteriology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Alexander SturmDepartment of Microbiology & Immunology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Jonathan DworkinDepartment of Microbiology & Immunology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. Electronic address: jonathan.dworkin@columbia.edu.

Funding

Regulation of Protein Synthesis in Bacteria by Ser/Thr PhosphorylationR01GM114213 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DWORKIN, JONATHAN · 2015 to 2018
$1.4M
NIGMS NIH HHS R01 GM114213
6 · The paper itself

Abstract

Microorganisms can facilitate their survival in stressful environments by entering a state of metabolic inactivity or dormancy. However, this state impairs the function of the very sensory systems necessary to detect favorable growth conditions. Thus, how can a metabolically quiescent cell accurately monitor environmental conditions in order to best decide when to exit dormancy? One strategy employed by microbes to deal with changing environments is the generation of phenotypes that may be less well adapted to a current condition but might confer an advantage in the future. This bet-hedging depends on phenotypic diversity in the population, which itself can derive from naturally occurring stochastic differences in gene expression. In the case of metabolic dormancy, a bet-hedging strategy that has been proposed is the "scout model" where cells comprising a fraction of the dormant population reinitiate growth stochastically, independent of environmental cues. Here, we provide experimental evidence that such a mechanism exists in dormant spores produced by the ubiquitous soil bacterium Bacillus subtilis. We observe that these spores reinitiate growth at a low but measureable frequency even in the absence of an inducing signal. This phenomenon is the result of phenotypic variation in the propensity of individual spores to reinitiate growth spontaneously. Since this bet-hedging mechanism produces individuals that will either grow under favorable conditions or die under unfavorable conditions, a population can properly respond to environmental changes despite the impaired sensory ability of individual cells.

Indexed as

Genetic VariationBacillus subtilisPhenotypeSpores, BacterialB. subtiliscellular variabilitygerminationnoisequiescencespore

Identifiers

PMID26279233
PMCPMC4778719

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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.