Evidence map›Paper›PMID 23959025›Full record

ArticleMolecular systems biology2013

Multilevel selection analysis of a microbial social trait.

Laura de Vargas Roditi, Kerry E Boyle, Joao B Xavier

Abstract read
In one paragraph

Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Evolutionary dynamics within and among competing groups.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Evidence for biosurfactant-induced flow in corners and bacterial spreading in unsaturated porous media.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Metabolism and the Evolution of Social Behavior.Molecular biology and evolution · 2017
    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

3 authors.

Laura de Vargas RoditiProgram in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Kerry E Boyle
Joao B Xavier

Funding

IMMUNOLOGY RESEARCH TRAINING PROGRAMT32AI007621 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI CESARMAN, ETHEL · 1999 to 2014
$3.4M
Engineering microbial social interactions: Towards new anti-biofilm therapiesDP2OD008440 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI XAVIER, JOAO · 2011 to 2015
$2.9M
NIAID NIH HHS T32 AI007621NIH HHS DP2 OD008440NIH HHS DP2OD008440
6 · The paper itself

Abstract

The study of microbial communities often leads to arguments for the evolution of cooperation due to group benefits. However, multilevel selection models caution against the uncritical assumption that group benefits will lead to the evolution of cooperation. We analyze a microbial social trait to precisely define the conditions favoring cooperation. We combine the multilevel partition of the Price equation with a laboratory model system: swarming in Pseudomonas aeruginosa. We parameterize a population dynamics model using competition experiments where we manipulate expression, and therefore the cost-to-benefit ratio of swarming cooperation. Our analysis shows that multilevel selection can favor costly swarming cooperation because it causes population expansion. However, due to high costs and diminishing returns constitutive cooperation can only be favored by natural selection when relatedness is high. Regulated expression of cooperative genes is a more robust strategy because it provides the benefits of swarming expansion without the high cost or the diminishing returns. Our analysis supports the key prediction that strong group selection does not necessarily mean that microbial cooperation will always emerge.

Indexed as

AntibiosisModels, StatisticalSymbiosisBiological EvolutionComputer SimulationMicrobial ConsortiaModels, GeneticPseudomonas aeruginosaSelection, Genetic

Identifiers

PMID23959025
PMCPMC3779802

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.