Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states

Using brain transcriptomic profiles from 853 individual honey bees exhibiting 48 distinct behavioral phenotypes in naturalistic contexts, we report that behavior-specific neurogenomic states can be inferred from the coordinated action of transcription factors (TFs) and their predicted target genes....

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 108; no. 44; pp. 18020 - 18025
Main Authors Chandrasekaran, Sriram, Ament, Seth A., Eddy, James A., Rodriguez-Zas, Sandra L., Schatz, Bruce R., Price, Nathan D., Robinson, Gene E.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 01.11.2011
National Acad Sciences
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Summary:Using brain transcriptomic profiles from 853 individual honey bees exhibiting 48 distinct behavioral phenotypes in naturalistic contexts, we report that behavior-specific neurogenomic states can be inferred from the coordinated action of transcription factors (TFs) and their predicted target genes. Unsupervised hierarchical clustering of these transcriptomic profiles showed three clusters that correspond to three ecologically important behavioral categories: aggression, maturation, and foraging. To explore the genetic influences potentially regulating these behavior-specific neurogenomic states, we reconstructed a brain transcriptional regulatory network (TRN) model. This brain TRN quantitatively predicts with high accuracy gene expression changes of more than 2,000 genes involved in behavior, even for behavioral phenotypes on which it was not trained, suggesting that there is a core set of TFs that regulates behavior-specific gene expression in the bee brain, and other TFs more specific to particular categories. TFs playing key roles in the TRN include well-known regulators of neural and behavioral plasticity, e.g., Creb, as well as TFs better known in other biological contexts, e.g., NF-kB (immunity). Our results reveal three insights concerning the relationship between genes and behavior. First, distinct behaviors are subserved by distinct neurogenomic states in the brain. Second, the neurogenomic states underlying different behaviors rely upon both shared and distinct transcriptional modules. Third, despite the complexity of the brain, simple linear relationships between TFs and their putative target genes are a surprisingly prominent feature of the networks underlying behavior.
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Author contributions: S.C., S.A.A., N.D.P., and G.E.R. designed research; S.C. and J.A.E. performed research; J.A.E., B.R.S., and N.D.P. contributed new reagents/analytic tools; S.C., J.A.E., S.L.R.-Z., N.D.P., and G.E.R. analyzed data; and S.C., S.A.A., N.D.P., and G.E.R. wrote the paper.
1Present address: Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA 90109.
Contributed by Gene E. Robinson, September 1, 2011 (sent for review June 29, 2011)
2Present address: Department of Molecular and Cellular Biology, University of California, 16 Barker Hall, Berkeley, CA 94720.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1114093108