Evidence map›Paper›PMID 24778764›Full record

ReviewCommunicative & integrative biology2014

Eco-evolutionary dynamics of complex social strategies in microbial communities.

Kyle I Harrington, Alvaro Sanchez

Abstract readReview
In one paragraph

Review in Communicative & integrative biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Frequency-dependent fitness effects are ubiquitous.bioRxiv : the preprint server for biology · 2025
    Article
  4. Carlos Asensio and the dawn of molecular microbial ecology.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Artificially selecting bacterial communities using propagule strategies.Evolution; international journal of organic evolution · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors.

Kyle I HarringtonDEMO Lab; Department of Computer Science; Brandeis University; Waltham MA USA; The Rowland Institute; Harvard University; Cambridge, MA USA.
Alvaro SanchezThe Rowland Institute; Harvard University; Cambridge, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities abound with examples of complex social interactions that shape microbial ecosystems. One particularly striking example is microbial cooperation via the secretion of public goods. It has been suggested by theory, and recently demonstrated experimentally, that microbial population dynamics and the evolutionary dynamics of cooperative social genes take place with similar timescales, and are linked to each other via an eco-evolutionary feedback loop. We overview this recent evidence, and discuss the possibility that a third process may be also part of this loop: phenotypic dynamics. Complex social strategies may be implemented at the single-cell level by means of gene regulatory networks. Thus gene expression plasticity or stochastic gene expression, both of which may occur with a timescale of one to a few generations, can potentially lead to a three-way coupling between behavioral dynamics, population dynamics, and evolutionary dynamics.

Indexed as

Eco-evolutionary dynanicsmicrobial communitiesmicrobial cooperationpopulation dynamicssocial games

Identifiers

PMID24778764
PMCPMC3995729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.