Evidence map›Paper›PMID 27140688›Full record

ReviewNature reviews. Microbiology2016

Gut microbial communities of social bees.

Waldan K Kwong, Nancy A Moran

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 497 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
497citing papers in PubMed, 2 pooled it
–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

497 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. International journal of systematic and evolutionary microbiology · 2026
    Article
  17. Host-AdaptedMicroorganisms · 2026
    Article
  18. Review
  19. Review
  20. Article

437 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

2 authors.

Waldan K KwongDepartment of Integrative Biology, University of Texas, Austin, Texas 78712, USA.
Nancy A MoranDepartment of Integrative Biology, University of Texas, Austin, Texas 78712, USA.

Funding

Host and symbiont determinants of colonization by a co-evolved gut communityR01GM108477 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MORAN, NANCY A. · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM108477
6 · The paper itself

Abstract

The gut microbiota can have profound effects on hosts, but the study of these relationships in humans is challenging. The specialized gut microbial community of honey bees is similar to the mammalian microbiota, as both are mostly composed of host-adapted, facultatively anaerobic and microaerophilic bacteria. However, the microbial community of the bee gut is far simpler than the mammalian microbiota, being dominated by only nine bacterial species clusters that are specific to bees and that are transmitted through social interactions between individuals. Recent developments, which include the discovery of extensive strain-level variation, evidence of protective and nutritional functions, and reports of eco-physiological or disease-associated perturbations to the microbial community, have drawn attention to the role of the microbiota in bee health and its potential as a model for studying the ecology and evolution of gut symbionts.

Indexed as

Bacterial Physiological PhenomenaGastrointestinal MicrobiomeAnimalsBacteriaBartonellaBeesBiological EvolutionHost SpecificityHumansLactobacillusRNA, Ribosomal, 16SSymbiosisRNA, Ribosomal, 16S

Identifiers

PMID27140688
PMCPMC5648345

What OpenQuestion holds

Textmetadata
LicenceTDM
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.