Evidence map›Paper›PMID 28174316›Full record

ArticlemBio2017

Density-Dependent Recycling Promotes the Long-Term Survival of Bacterial Populations during Periods of Starvation.

Sotaro Takano, Bogna J Pawlowska, Ivana Gudelj, Tetsuya Yomo, Saburo Tsuru

Abstract read
In one paragraph

Article in mBio, 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.

  1. Article
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  5. Article
  6. Ribosome-binding antibiotics increase bacterial longevity and growth efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
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  15. Article
  16. Microbial population dynamics and evolutionary outcomes under extreme energy limitation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Review
  18. DifferentialAntimicrobial agents and chemotherapy · 2021
    Article
  19. 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

5 authors.

Sotaro TakanoDepartment of Bioinformatic Engineering, Graduate School of information Science and Technology Osaka University, Osaka, Japan.
Bogna J PawlowskaBiosciences, University of Exeter, Exeter, United Kingdom.
Ivana GudeljBiosciences, University of Exeter, Exeter, United Kingdom.
Tetsuya YomoDepartment of Bioinformatic Engineering, Graduate School of information Science and Technology Osaka University, Osaka, Japan tetsuyayomo@gmail.com tsuru-saburo@ist.osaka-u.ac.jp.
Saburo TsuruDepartment of Bioinformatic Engineering, Graduate School of information Science and Technology Osaka University, Osaka, Japan tetsuyayomo@gmail.com tsuru-saburo@ist.osaka-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amount of natural resources in the Earth's environment is in flux, which can trigger catastrophic collapses of ecosystems. How populations survive under nutrient-poor conditions is a central question in ecology. Curiously, some bacteria persist for a long time in nutrient-poor environments. Although this survival may be accomplished through cell death and the recycling of dead cells, the importance of these processes and the mechanisms underlying the survival of the populations have not been quantitated. Here, we use microbial laboratory experiments and mathematical models to demonstrate that death and recycling are essential activities for the maintenance of cell survival. We also show that the behavior of the survivors is governed by population density feedback, wherein growth is limited not only by the available resources but also by the population density. The numerical simulations suggest that population density-dependent recycling could be an advantageous behavior under starvation conditions. IMPORTANCE: How organisms survive after exhaustion of resources is a central question in ecology. Starving Escherichia coli constitute a model system to understand survival mechanisms during long-term starvation. Although death and the recycling of dead cells might play a key role in the maintenance of long-term survival, their mechanisms and importance have not been quantitated. Here, we verified the significance of social recycling of dead cells for long-term survival. We also show that the survivors restrained their recycling and did not use all available nutrients released from dead cells, which may be advantageous under starvation conditions. These results indicate that not only the utilization of dead cells but also restrained recycling coordinate the effective utilization of limited resources for long-term survival under starvation.

Indexed as

Microbial ViabilityEscherichia coliModels, Theoretical

Identifiers

PMID28174316
PMCPMC5296608

What OpenQuestion holds

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Read underepoch 390

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.