The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Defense against territorial intrusion is associated with DNA methylation changes in the honey bee brain
Abstract
BACKGROUND: Aggression is influenced by individual variation in temperament as well as behavioral plasticity in response to adversity. DNA methylation is stably maintained over time, but also reversible in response to specific environmental conditions, and may thus be a neuromolecular regulator of both of these processes. A previous study reported DNA methylation differences between aggressive Africanized and gentle European honey bees. We investigated whether threat-induced aggression altered DNA methylation profiles in the honey bee brain in response to a behavioral stimulus (aggression-provoking intruder bee or inert control). We sampled five minutes and two hours after stimulus exposure to examine the effect of time on epigenetic profiles of aggression. RESULTS: There were DNA methylation differences between aggressive and control bees for individual cytosine-guanine dinucleotides (CpGs) across the genome. Eighteen individual CpG sites showed significant difference between aggressive and control bees 120 min post stimulus. For clusters of CpGs, we report four genomic regions differentially methylated between aggressive and control bees at the 5-min time point, and 50 regions differentially methylated at the120-minute time point following intruder exposure. Differential methylation occurred at genes involved in neural plasticity, chromatin remodeling and hormone signaling. Additionally, there was a significant overlap of differential methylation with previously published epigenetic differences that distinguish aggressive Africanized and gentle European honey bees, suggesting an evolutionarily conserved use of brain DNA methylation in the regulation of aggression. Lastly, we identified individually statistically suggestive CpGs that as a group were significantly associated with differentially expressed genes underlying aggressive behavior and also co-localize with binding sites of transcription factors involved in neuroplasticity or neurodevelopment. CONCLUSIONS: There were DNA methylation differences in the brain associated with response to an intruder. These differences increased in number a few hours after the initial exposure and overlap with previously reported aggression-associated genes and neurobiologically relevant transcription factor binding sites. Many DNA methylation differences that occurred in association with the expression of aggression in real time also exist between Africanized bees and European bees, suggesting an evolutionarily conserved role for epigenetic regulation in aggressive behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures


Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“By contrast, expression and epigenetic changes controlled by the GRN usually happen over a scale of minutes to hours or even days (63, 64).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [64]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Sustained hippocampal chromatin regulation in a mouse model of depression and antidepressant action
Tsankova, N. M., Berton, O., Renthal, W., Kumar, A., Neve, R. L., & Nestler, E. J. (2006) · Nature Neuroscience · doi:10.1038/nn1659 · Cited by 1,780
Impact of cytosine methylation on DNA binding specificities of human transcription factors
Yin, Y., Morgunova, E., Jolma, A., Kaasinen, E., Sahu, B., Khund-Sayeed, S., Das, P. K., Kivioja, T., Dave, K., Zhong, F., et al. (2017) · Science · doi:10.1126/science.aaj2239 · Cited by 1,257
Dynamic DNA methylation programs persistent adverse effects of early-life stress
Murgatroyd, C., Patchev, A. V., Wu, Y., Micale, V., Bockmühl, Y., Fischer, D., Holsboer, F., Wotjak, C. T., Almeida, O. F. X., & Spengler, D. (2009) · Nature Neuroscience · doi:10.1038/nn.2436 · Cited by 1,162
Nutritional Control of Reproductive Status in Honeybees via DNA Methylation
Kucharski, R., Maleszka, J., Foret, S., & Maleszka, R. (2008) · Science · doi:10.1126/science.1153069 · Cited by 1,142
The Honey Bee Epigenomes: Differential Methylation of Brain DNA in Queens and Workers
Lyko, F., Foret, S., Kucharski, R., Wolf, S., Falckenhayn, C., & Maleszka, R. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000506 · Cited by 727
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
McLeay, R. C., & Bailey, T. L. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-165 · Cited by 696
Stress and the social brain: behavioural effects and neurobiological mechanisms
Sandi, C., & Haller, J. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn3918 · Cited by 660
Cortical DNA methylation maintains remote memory
Miller, C. A., Gavin, C. F., White, J. A., Parrish, R. R., Honasoge, A., Yancey, C. R., Rivera, I. M., Rubio, M. D., Rumbaugh, G., & Sweatt, J. D. (2010) · Nature Neuroscience · doi:10.1038/nn.2560 · Cited by 536
Cited by
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Self-citationHoney bee neurogenomic responses to affiliative and agonistic social interactions
Shpigler, H. Y., Saul, M. C., Murdoch, E. E., Corona, F., Cash‐Ahmed, A. C., Seward, C. H., Chandrasekaran, S., Stubbs, L. J., & Robinson, G. E. (2019) · Genes, Brain and Behavior · doi:10.1111/gbb.12509 · Cited by 29
Self-citation
Metadata
- Authors
- Herb, B. R., Shook, M. S., Fields, C. J., & Robinson, G. E.
- Venue
- BMC Genomics
- Published
- 2018-03-26
- Volume
- 19
- Issue
- 1
- ISSN
- 1471-2164
- PMC
- PMC5870497
- Cited by
- 35
- References
- 57
- Language
- en
- Licence
- creativecommons.org/licenses/by/4.0/ (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
- Funders
- National Institutes of Health (R21-MH107962)
- Simons Foundation (SFLife 291812)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Defense against territorial intrusion is associated with DNA methylation changes in the honey bee brain. https://app.cochat.ai/papers/10.1186/s12864-018-4594-0
- The paper
- Herb, B. R., Shook, M. S., Fields, C. J., & Robinson, G. E. (2018). Defense against territorial intrusion is associated with DNA methylation changes in the honey bee brain. BMC Genomics. https://doi.org/10.1186/s12864-018-4594-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.