Evidence map›Paper›PMID 24924193›Full record

ArticleDevelopment (Cambridge, England)2014

The dynamic DNA methylation cycle from egg to sperm in the honey bee Apis mellifera.

Robert A Drewell, Eliot C Bush, Emily J Remnant, Garrett T Wong, Suzannah M Beeler, Jessica L Stringham, Julianne Lim, Benjamin P Oldroyd

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Development (Cambridge, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Article
  3. Epigenetic Mechanisms inCurrent issues in molecular biology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. TheNAR genomics and bioinformatics · 2023
    Article
  8. Review
  9. Intergenerational transfer of DNA methylation marks in the honey bee.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Epigenetic Molecular Mechanisms in Insects.Neotropical entomology · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. DNA demethylation by ROS1a in rice vegetative cells promotes methylation in sperm.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 2 institutions in 2 countries.

Robert A DrewellBiology Department, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA 91711, USA Department of Biological Sciences, Mount Holyoke College, South Hadley, MA 01075, USA Department of Biology, Amherst College, Amherst, MA 01002, USA.
Eliot C BushBiology Department, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA 91711, USA.
Emily J RemnantBehaviour and Genetics of Social Insects Laboratory, School of Biological Sciences A12, University of Sydney, Sydney, NSW 2006, Australia.
Garrett T WongBiology Department, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA 91711, USA.
Suzannah M BeelerBiology Department, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA 91711, USA.
Jessica L StringhamComputer Science Department, Harvey Mudd College, 301 Platt Boulevard, Claremont, CA 91711, USA.
Julianne LimBehaviour and Genetics of Social Insects Laboratory, School of Biological Sciences A12, University of Sydney, Sydney, NSW 2006, Australia.
Benjamin P OldroydBehaviour and Genetics of Social Insects Laboratory, School of Biological Sciences A12, University of Sydney, Sydney, NSW 2006, Australia benjamin.oldroyd@sydney.edu.au.
Harvey Mudd College · USUniversity of Sydney · AU

Funding

Molecular Dissection of Drosophila Hox Gene Cis-Regulatory ModulesR15GM090167 · NIGMS · HARVEY MUDD COLLEGE · PI DREWELL, ROBERT A · 2010 to 2010
$204k
Howard Hughes Medical Institute 52006301Howard Hughes Medical Institute 52007544NIGMS NIH HHS GM090167NIGMS NIH HHS R15 GM090167
6 · The paper itself

Abstract

In honey bees (Apis mellifera), the epigenetic mark of DNA methylation is central to the developmental regulation of caste differentiation, but may also be involved in additional biological functions. In this study, we examine the whole genome methylation profiles of three stages of the haploid honey bee genome: unfertilised eggs, the adult drones that develop from these eggs and the sperm produced by these drones. These methylomes reveal distinct patterns of methylation. Eggs and sperm show 381 genes with significantly different CpG methylation patterns, with the vast majority being more methylated in eggs. Adult drones show greatly reduced levels of methylation across the genome when compared with both gamete samples. This suggests a dynamic cycle of methylation loss and gain through the development of the drone and during spermatogenesis. Although fluxes in methylation during embryogenesis may account for some of the differentially methylated sites, the distinct methylation patterns at some genes suggest parent-specific epigenetic marking in the gametes. Extensive germ line methylation of some genes possibly explains the lower-than-expected frequency of CpG sites in these genes. We discuss the potential developmental and evolutionary implications of methylation in eggs and sperm in this eusocial insect species.

Indexed as

Biological EvolutionAnimalsBase SequenceBeesCpG IslandsDNA MethylationFemaleGene LibraryHierarchy, SocialMaleMolecular Sequence DataOvumSequence Analysis, DNASpermatozoaApis melliferaDNA methylationEpigeneticGametesImprinting

Identifiers

PMID24924193
PMCPMC4067964
OpenAlexW2135607040

What OpenQuestion holds

Textmetadata
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.