Evidence map›Paper›PMID 25210772›Full record

ArticlePLoS genetics2014

Hidden diversity in honey bee gut symbionts detected by single-cell genomics.

Philipp Engel, Ramunas Stepanauskas, Nancy A Moran

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
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  4. scMicrobe PTA: Near Complete Genomes from Single Bacterial Cells.bioRxiv : the preprint server for biology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Phylogenomic Analyses ofmSystems · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

15 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

3 authors.

Philipp EngelDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.
Ramunas StepanauskasBigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.
Nancy A MoranDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Microbial communities in animal guts are composed of diverse, specialized bacterial species, but little is known about how gut bacteria diversify to produce genetically and ecologically distinct entities. The gut microbiota of the honey bee, Apis mellifera, presents a useful model, because it consists of a small number of characteristic bacterial species, each showing signs of diversification. Here, we used single-cell genomics to study the variation within two species of the bee gut microbiota: Gilliamella apicola and Snodgrassella alvi. For both species, our analyses revealed extensive variation in intraspecific divergence of protein-coding genes but uniformly high levels of 16S rRNA similarity. In both species, the divergence of 16S rRNA loci appears to have been curtailed by frequent recombination within populations, while other genomic regions have continuously diverged. Furthermore, gene repertoires differ markedly among strains in both species, implying distinct metabolic capabilities. Our results show that, despite minimal divergence at 16S rRNA genes, in situ diversification occurs within gut communities and generates bacterial lineages with distinct ecological niches. Therefore, important dimensions of microbial diversity are not evident from analyses of 16S rRNA, and single cell genomics has potential to elucidate processes of bacterial diversification.

Indexed as

AnimalsBacteriaBeesBiodiversityGastrointestinal TractGenomicsMetagenomePhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASymbiosisRNA, Ribosomal, 16S

Identifiers

PMID25210772
PMCPMC4161309

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Registered trials

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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.