ArticleProceedings of the National Academy of Sciences of the United States of America2012
New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A conserved regulatory architecture stabilizes cellular senescence across distinct triggers in human fibroblasts.GeroScience · 2026Article
- Effects of microRNA-305 knockdown on brain gene expression associated with division of labor in honey bee colonies (Apis mellifera).The Journal of experimental biology · 2024Article
- Epigenomic charting and functional annotation of risk loci in renal cell carcinoma.Nature communications · 2023Article
- Behavioral genetics and genomics: Mendel's peas, mice, and bees.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Social divergence: molecular pathways underlying castes and longevity in a facultatively eusocial small carpenter bee.Proceedings. Biological sciences · 2022Article
- Societies to genes: can we get there from here?Genetics · 2021Article
- Sociality sculpts similar patterns of molecular evolution in two independently evolved lineages of eusocial bees.Communications biology · 2021Article
- Analysis across diverse fish species highlights no conserved transcriptome signature for proactive behaviour.BMC genomics · 2021Article
- Reproductive potential does not cause loss of heat shock response performance in honey bees.Scientific reports · 2020Article
- Sex biased expression and co-expression networks in development, using the hymenopteran Nasonia vitripennis.PLoS genetics · 2020Article
- Social modularity: conserved genes and regulatory elements underlie caste-antecedent behavioural states in an incipiently social bee.Proceedings. Biological sciences · 2019Article
- Division of labor in honey bees is associated with transcriptional regulatory plasticity in the brain.The Journal of experimental biology · 2019Article
- Caste-biased gene expression in a facultatively eusocial bee suggests a role for genetic accommodation in the evolution of eusociality.Proceedings. Biological sciences · 2017Article
- Brain transcriptomes of honey bees (Genomics data · 2016Article
- Involvement of phosphorylated Apis mellifera CREB in gating a honeybee's behavioral response to an external stimulus.Learning & memory (Cold Spring Harbor, N.Y.) · 2016Article
- Assessment of fight outcome is needed to activate socially driven transcriptional changes in the zebrafish brain.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Diet and endocrine effects on behavioral maturation-related gene expression in the pars intercerebralis of the honey bee brain.The Journal of experimental biology · 2015Article
- Molecular signatures of plastic phenotypes in two eusocial insect species with simple societies.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism.Nucleic acids research · 2015Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
A fundamental problem in meta-analysis is how to systematically combine information from multiple statistical tests to rigorously evaluate a single overarching hypothesis. This problem occurs in systems biology when attempting to map genomic attributes to complex phenotypes such as behavior. Behavior and other complex phenotypes are influenced by intrinsic and environmental determinants that act on the transcriptome, but little is known about how these determinants interact at the molecular level. We developed an informatic technique that identifies statistically significant meta-associations between gene expression patterns and transcription factor combinations. Deploying this technique for brain transcriptome profiles from ca. 400 individual bees, we show that diverse determinants of behavior rely on shared combinations of transcription factors. These relationships were revealed only when we considered complex and variable regulatory rules, suggesting that these shared transcription factors are used in distinct ways by different determinants. This regulatory code would have been missed by traditional gene coexpression or cis-regulatory analytic methods. We expect that our meta-analysis tools will be useful for a broad array of problems in systems biology and other fields.
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