Evidence map›Paper›PMID 32848005›Full record

ArticlemSphere2020

Strain Structure and Dynamics Revealed by Targeted Deep Sequencing of the Honey Bee Gut Microbiome.

Louis-Marie Bobay, Emily F Wissel, Kasie Raymann

Abstract read
In one paragraph

Article in mSphere, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. bioRxiv : the preprint server for biology · 2026
    Article
  6. Bacteriophage density influences the rate of resistance evolution.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Type VI secretion systems promote intraspecific competition and host interactions in a bee gut symbiont.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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.

Louis-Marie BobayDepartment of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina, USA ljbobay@uncg.edu ktrayman@uncg.edu.
Emily F WisselDepartment of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
Kasie RaymannDepartment of Biology, University of North Carolina at Greensboro, Greensboro, North Carolina, USA ljbobay@uncg.edu ktrayman@uncg.edu.ORCID 0000-0001-7008-2783

Funding

Investigating the Impact and Patterns of Homologous Recombination and Adaptive Evolution on Bacterial GenomesR01GM132137 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI BOBAY, LOUIS-MARIE · 2020 to 2024
$1.5M
NIGMS NIH HHS R01 GM132137
6 · The paper itself

Abstract

Host-associated microbiomes can be critical for the health and proper development of animals and plants. The answers to many fundamental questions regarding the modes of acquisition and microevolution of microbiome communities remain to be established. Deciphering strain-level dynamics is essential to fully understand how microbial communities evolve, but the forces shaping the strain-level dynamics of microbial communities remain largely unexplored, mostly because of methodological issues and cost. Here, we used targeted strain-level deep sequencing to uncover the strain dynamics within a host-associated microbial community using the honey bee gut microbiome as a model system. Our results revealed that amplicon sequencing of conserved protein-coding gene regions using species-specific primers is a cost-effective and accurate method for exploring strain-level diversity. In fact, using this method we were able to confirm strain-level results that have been obtained from whole-genome shotgun sequencing of the honey bee gut microbiome but with a much higher resolution. Importantly, our deep sequencing approach allowed us to explore the impact of low-frequency strains (i.e., cryptic strains) on microbiome dynamics. Results show that cryptic strain diversity is not responsible for the observed variations in microbiome composition across bees. Altogether, the findings revealed new fundamental insights regarding strain dynamics of host-associated microbiomes.

Indexed as

High-Throughput Nucleotide SequencingMetagenomeAnimalsBacteriaBeesGastrointestinal MicrobiomeGenetic VariationHost Microbial InteractionsMetagenomicsPhylogenySymbiosiscommunity dynamicshoney beemicrobiomestrain diversity

Identifiers

PMID32848005
PMCPMC7449624

What OpenQuestion holds

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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.