The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Influence of Gene Action Across Different Time Scales on Behavior
Abstract
Genes can affect natural behavioral variation in different ways. Allelic variation causes alternative behavioral phenotypes, whereas changes in gene expression can influence the initiation of behavior at different ages. We show that the age-related transition by honey bees from hive work to foraging is associated with an increase in the expression of the foraging ( for ) gene, which encodes a guanosine 3′,5′-monophosphate (cGMP)–dependent protein kinase (PKG). cGMP treatment elevated PKG activity and caused foraging behavior. Previous research showed that allelic differences in PKG expression result in two Drosophila foraging variants. The same gene can thus exert different types of influence on a behavior.
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“Many studies have found significant, predictable, and specific changes in brain gene expression profiles associated with behavioral responses to particular environmental stimuli (7–14).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [11]
Citations
Cites
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Natural Behavior Polymorphism Due to a cGMP-Dependent Protein Kinase of Drosophila
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Self-citationCellular Mechanisms of Social Attachment
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Identification of a Major Gene Regulating Complex Social Behavior
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Self-citationSubdivisions of hymenopteran mushroom body calyces by their afferent supply
Gronenberg, W. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.1045 · Cited by 293
Evolution of foraging behavior in Drosophila by density-dependent selection
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Changes in period mRNA levels in the brain and division of labor in honey bee colonies
Toma, D. P., Bloch, G., Moore, D., & Robinson, G. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.12.6914 · Cited by 170
Self-citationBehavioral Rhythmicity, Age, Division of Labor and period Expression in the Honey Bee Brain
Bloch, G., Toma, D. P., & Robinson, G. E. (2001) · Journal of Biological Rhythms · doi:10.1177/074873001129002123 · Cited by 151
Self-citationEvidence for positive selection and population structure at the human MAO-A gene
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Satiation differentially affects performance in a learning assay by nurse and forager honey bees
Ben‐Shahar, Y., & Robinson, G. E. (2001) · Journal of Comparative Physiology A · doi:10.1007/s00359-001-0260-z · Cited by 47
Self-citationNitric oxide synthase inhibition and food intake: Effects on motivation to eat and in female mice
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The Emergence of Hymenopteran Genetics
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Research works printed but not linked: 7
- G. E. Robinson Am. Nat. in press.
- T. D. Seeley Wisdom of the Hive (Harvard Univ. Press Cambridge MA 1997).
- To measure mRNA levels of Amfor in individual bee brains we used real-time qRT-PCR with TaqMan technology (ABI). Total brain RNA from an individual brain was isolated with the RNeasy mini kit (Qiagen). Reverse transcription was performed according to protocol (TaqMan Reverse Transcription Reagents kit ABI) with 100 ng of total RNA. PCR was performed with the default parameters of the ABI Prism 5700 sequence detector. PrimerExpress software (ABI) was used to design highly specific primers and probe for Amfor. Forward probe 5′-AATATAACTTCCGGTGCAACGTATT; reverse probe 5′-CGTTTGGATCACGGAAGAAAG; TaqMan probe (ABI) 5′-FAM6-AGGCGTGCCGCAGAAGGTCCA-TAMRA. Levels of Amfor were quantified relative to 18 S rRNA (ABI kit); there were no differences in 18 S rRNA levels between nurses and foragers (11). Each sample was analyzed in triplicate and each data point was calculated as the average of the three. Quantification was based on the number of PCR cycles (Ct) required to cross a threshold of fluorescence intensity using the 2 -ΔΔCt technique (ABI User Bulletin 2) described in (24). Identification of nurses and foragers was as in (25). Bees were collected into liquid nitrogen immediately upon identification so that mRNA measurements accurately reflected gene activity under natural conditions. Bees were stored at −80°C until brain dissection.
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Cited by
Gene Expression Profiles in the Brain Predict Behavior in Individual Honey Bees
Whitfield, C. W., Cziko, A.-M., & Robinson, G. E. (2003) · Science · doi:10.1126/science.1086807 · Cited by 527
Self-citationSociogenomic Personality Psychology
Roberts, B. W., & Jackson, J. J. (2008) · Journal of Personality · doi:10.1111/j.1467-6494.2008.00530.x · Cited by 392
cGMP Signalling in the Mammalian Brain: Role in Synaptic Plasticity and Behaviour
Kleppisch, T., & Feil, R. (2009) · Handbook of Experimental Pharmacology · doi:10.1007/978-3-540-68964-5_24 · Cited by 161
Mammalian monogamy is not controlled by a single gene
Fink, S., Excoffier, L., & Heckel, G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602380103 · Cited by 133
Genetic contributions to behavioural diversity at the gene-environment interface
Bendesky, A., & Bargmann, C. I. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3065 · Cited by 103
Metadata
- Authors
- Ben-Shahar, Y., Robichon, A., Sokolowski, M. B., & Robinson, G. E.
- Affiliations
- Department of Entomology,
- CESG/CNRS, Université de Bourgogne, 15 rue Hugues Picardet, Dijon 21000, France.
- Department of Zoology, University of Toronto, 3359 Mississauga Road, Mississauga, Ontario L5L1C6, Canada.
- Venue
- Science
- Published
- 2002-04-26
- Volume
- 296
- Issue
- 5568
- Pages
- 741-744
- ISSN
- 0036-8075
- 1095-9203
- Cited by
- 433
- References
- 17
- Language
- en
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