Evidence map›Paper›PMID 27679620›Full record

ReviewFrontiers in microbiology2016

Experimental Evolution as an Underutilized Tool for Studying Beneficial Animal-Microbe Interactions.

Kim L Hoang, Levi T Morran, Nicole M Gerardo

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. SymbioticmBio · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Review
  13. Article
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  15. Article
  16. Coevolution's conflicting role in the establishment of beneficial associations.Evolution; international journal of organic evolution · 2022
    Article
  17. Article
  18. Optimal integration between host physiology and functions of the gut microbiome.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  19. Article
  20. Ecological and evolutionary mechanisms underlying patterns of phylosymbiosis in host-associated microbial communities.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
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 at 1 institution in 1 country.

Kim L HoangDepartment of Biology, O. Wayne Rollins Research Center, Emory University Atlanta, GA, USA.
Levi T MorranDepartment of Biology, O. Wayne Rollins Research Center, Emory University Atlanta, GA, USA.
Nicole M GerardoDepartment of Biology, O. Wayne Rollins Research Center, Emory University Atlanta, GA, USA.
Emory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms play a significant role in the evolution and functioning of the eukaryotes with which they interact. Much of our understanding of beneficial host-microbe interactions stems from studying already established associations; we often infer the genotypic and environmental conditions that led to the existing host-microbe relationships. However, several outstanding questions remain, including understanding how host and microbial (internal) traits, and ecological and evolutionary (external) processes, influence the origin of beneficial host-microbe associations. Experimental evolution has helped address a range of evolutionary and ecological questions across different model systems; however, it has been greatly underutilized as a tool to study beneficial host-microbe associations. In this review, we suggest ways in which experimental evolution can further our understanding of the proximate and ultimate mechanisms shaping mutualistic interactions between eukaryotic hosts and microbes. By tracking beneficial interactions under defined conditions or evolving novel associations among hosts and microbes with little prior evolutionary interaction, we can link specific genotypes to phenotypes that can be directly measured. Moreover, this approach will help address existing puzzles in beneficial symbiosis research: how symbioses evolve, how symbioses are maintained, and how both host and microbe influence their partner's evolutionary trajectories. By bridging theoretical predictions and empirical tests, experimental evolution provides us with another approach to test hypotheses regarding the evolution of beneficial host-microbe associations.

Indexed as

animal modelsexperimental evolutionhost–microbe interactionsmutualismsnovel symbiosis

Identifiers

PMID27679620
PMCPMC5020044
OpenAlexW2519048682

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.