Evidence map›Paper›PMID 25811620›Full record

ArticlePLoS pathogens2015

Parallel epigenomic and transcriptomic responses to viral infection in honey bees (Apis mellifera).

David A Galbraith, Xingyu Yang, Elina Lastro Niño, Soojin Yi, Christina Grozinger

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
15.2field-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

76 citing papers in PubMed, 156 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

16 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

5 authors at 2 institutions in 1 country.

David A GalbraithDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Xingyu YangSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Elina Lastro NiñoDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Soojin YiSchool of Biology, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Christina GrozingerDepartment of Entomology, Center for Pollinator Research, Pennsylvania State University, University Park, Pennsylvania, United States of America.
Pennsylvania State University · USGeorgia Institute of Technology · US

Funding

Resource development for a new model of social threat responseR21MH102677 · NIMH · EMORY UNIVERSITY · PI MANEY, DONNA L, YI, SOOJIN · 2014 to 2015
$430k
NIMH NIH HHS R21 MH102677NIMH NIH HHS R21MH102677
6 · The paper itself

Abstract

Populations of honey bees are declining throughout the world, with US beekeepers losing 30% of their colonies each winter. Though multiple factors are driving these colony losses, it is increasingly clear that viruses play a major role. However, information about the molecular mechanisms mediating antiviral immunity in honey bees is surprisingly limited. Here, we examined the transcriptional and epigenetic (DNA methylation) responses to viral infection in honey bee workers. One-day old worker honey bees were fed solutions containing Israeli Acute Paralysis Virus (IAPV), a virus which causes muscle paralysis and death and has previously been associated with colony loss. Uninfected control and infected, symptomatic bees were collected within 20-24 hours after infection. Worker fat bodies, the primary tissue involved in metabolism, detoxification and immune responses, were collected for analysis. We performed transcriptome- and bisulfite-sequencing of the worker fat bodies to identify genome-wide gene expression and DNA methylation patterns associated with viral infection. There were 753 differentially expressed genes (FDR<0.05) in infected versus control bees, including several genes involved in epigenetic and antiviral pathways. DNA methylation status of 156 genes (FDR<0.1) changed significantly as a result of the infection, including those involved in antiviral responses in humans. There was no significant overlap between the significantly differentially expressed and significantly differentially methylated genes, and indeed, the genomic characteristics of these sets of genes were quite distinct. Our results indicate that honey bees have two distinct molecular pathways, mediated by transcription and methylation, that modulate protein levels and/or function in response to viral infections.

Indexed as

Epigenesis, GeneticTranscriptomeAnimalsBeesGene Expression ProfilingInsect ProteinsPicornaviridaePicornaviridae InfectionsInsect Proteins

Identifiers

PMID25811620
PMCPMC4374888
OpenAlexW2081131958

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.