Evidence map›Paper›PMID 23909933›Full record

ReviewFEMS microbiology reviews2014

Interactions in the microbiome: communities of organisms and communities of genes.

Eva Boon, Conor J Meehan, Chris Whidden, Dennis H-J Wong, Morgan G I Langille, Robert G Beiko

Abstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Exploring the Bacterial Microbiota of Seeds.Microbial biotechnology · 2025
    Review
  8. Article
  9. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  10. Article
  11. Review
  12. Review
  13. A generic approach to infer community-level fitness of microbial genes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Identification of closely related species inFrontiers in microbiology · 2024
    Article
  18. ReducingAnalytical chemistry · 2023
    Article
  19. Article
  20. Article

29 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

6 authors.

Eva BoonDepartment of Biology, Dalhousie University, Halifax, NS, Canada.
Conor J Meehan
Chris Whidden
Dennis H-J Wong
Morgan G I Langille
Robert G Beiko

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

A central challenge in microbial community ecology is the delineation of appropriate units of biodiversity, which can be taxonomic, phylogenetic, or functional in nature. The term 'community' is applied ambiguously; in some cases, the term refers simply to a set of observed entities, while in other cases, it requires that these entities interact with one another. Microorganisms can rapidly gain and lose genes, potentially decoupling community roles from taxonomic and phylogenetic groupings. Trait-based approaches offer a useful alternative, but many traits can be defined based on gene functions, metabolic modules, and genomic properties, and the optimal set of traits to choose is often not obvious. An analysis that considers taxon assignment and traits in concert may be ideal, with the strengths of each approach offsetting the weaknesses of the other. Individual genes also merit consideration as entities in an ecological analysis, with characteristics such as diversity, turnover, and interactions modeled using genes rather than organisms as entities. We identify some promising avenues of research that are likely to yield a deeper understanding of microbial communities that shift from observation-based questions of 'Who is there?' and 'What are they doing?' to the mechanistically driven question of 'How will they respond?'

Indexed as

AnimalsChromosome MappingEvolution, MolecularGenesGenome, BacterialHumansMicrobiotaBlack Queen Hypothesisgenome evolutionmetagenomicsmicrobial communitiesPublic Goods Hypothesistrait-based ecology

Identifiers

PMID23909933
PMCPMC4298764

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.