Evidence map›Paper›PMID 26739502›Full record

ArticleScientific reports2016

MicroRNAs in Honey Bee Caste Determination.

Regan Ashby, Sylvain Forêt, Iain Searle, Ryszard Maleszka

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
16.8field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 152 citations in OpenAlex.

  1. Genome Evolution in Social Insects.Genome biology and evolution · 2026
    Review
  2. Article
  3. A sterility-associated long noncoding RNA involved in honey bee caste determination and adult queen and worker fertility.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. The Evolution of Bees: Insights from 'Omic Studies.Genome biology and evolution · 2026
    Review
  5. Epigenetic Mechanisms inCurrent issues in molecular biology · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. De Novo miRNAs fromInsects · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

4 authors at 3 institutions in 1 country.

Regan AshbyResearch School of Biology, Australian National University, ACT, 0200, Australia.
Sylvain ForêtResearch School of Biology, Australian National University, ACT, 0200, Australia.
Iain SearleResearch School of Biology, Australian National University, ACT, 0200, Australia.
Ryszard MaleszkaResearch School of Biology, Australian National University, ACT, 0200, Australia.
Australian National University · AUUniversity of Canberra · AUWine Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cellular mechanisms employed by some organisms to produce contrasting morphological and reproductive phenotypes from the same genome remains one of the key unresolved issues in biology. Honeybees (Apis mellifera) use differential feeding and a haplodiploid sex determination system to generate three distinct organismal outcomes from the same genome. Here we investigate the honeybee female and male caste-specific microRNA and transcriptomic molecular signatures during a critical time of larval development. Both previously undetected and novel miRNAs have been discovered, expanding the inventory of these genomic regulators in invertebrates. We show significant differences in the microRNA and transcriptional profiles of diploid females relative to haploid drone males as well as between reproductively distinct females (queens and workers). Queens and drones show gene enrichment in physio-metabolic pathways, whereas workers show enrichment in processes associated with neuronal development, cell signalling and caste biased structural differences. Interestingly, predicted miRNA targets are primarily associated with non-physio-metabolic genes, especially neuronal targets, suggesting a mechanistic disjunction from DNA methylation that regulates physio-metabolic processes. Accordingly, miRNA targets are under-represented in methylated genes. Our data show how a common set of genetic elements are differentially harnessed by an organism, which may provide the remarkable level of developmental flexibility required.

Indexed as

AnimalsBeesFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalGenes, InsectGenomeInsect ProteinsLarvaMaleMicroRNAsPhenotypeRNA InterferenceSex Determination ProcessesTranscriptomeInsect ProteinsMicroRNAs

Identifiers

PMID26739502
PMCPMC4704047
OpenAlexW2404281606

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.