Evidence map›Paper›PMID 24715732›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Importance of positioning for microbial evolution.

Wook Kim, Fernando Racimo, Jonas Schluter, Stuart B Levy, Kevin R Foster

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Anti-Biofilm Effects of Z102-E ofFoods (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. In Situ Raman Analysis of Biofilm Exopolysaccharides Formed inInternational journal of molecular sciences · 2023
    Article
  16. Understanding cellular growth strategies via optimal control.Journal of the Royal Society, Interface · 2023
    Article
  17. AIMS microbiology · 2023
    Review
  18. Review
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

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.

Wook KimDepartment of Zoology, University of Oxford, Oxford OX1 3PS, United Kingdom.
Fernando Racimo
Jonas Schluter
Stuart B Levy
Kevin R Foster

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
European Research Council 242670NIGMS NIH HHS 5P50 GM 068763NIGMS NIH HHS P50 GM068763
6 · The paper itself

Abstract

Microbes commonly live in dense surface-attached communities where cells layer on top of one another such that only those at the edges have unimpeded access to limiting nutrients and space. Theory predicts that this simple spatial effect, akin to plants competing for light in a forest, generates strong natural selection on microbial phenotypes. However, we require direct empirical tests of the importance of this spatial structuring. Here we show that spontaneous mutants repeatedly arise, push their way to the surface, and dominate colonies of the bacterium Pseudomonas fluorescens Pf0-1. Microscopy and modeling suggests that these mutants use secretions to expand and push themselves up to the growth surface to gain the best access to oxygen. Physically mixing the cells in the colony, or introducing space limitations, largely removes the mutant's advantage, showing a key link between fitness and the ability of the cells to position themselves in the colony. We next follow over 500 independent adaptation events and show that all occur through mutation of a single repressor of secretions, RsmE, but that the mutants differ in competitiveness. This process allows us to map the genetic basis of their adaptation at high molecular resolution and we show how evolutionary competitiveness is explained by the specific effects of each mutation. By combining population level and molecular analyses, we demonstrate how living in dense microbial communities can generate strong natural selection to reach the growing edge.

Indexed as

Biological EvolutionColony Count, MicrobialComputer SimulationGenes, BacterialGenetic LociGenotypeModels, BiologicalMutationPhenotypePseudomonas fluorescensSelection, Geneticbacteriabiofilmexperimental evolutionsocial interaction

Identifiers

PMID24715732
PMCPMC4000849

What OpenQuestion holds

Textmetadata
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.