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

ABSTRACT: 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 behav

SUBMITTER: Chandrasekaran S 

PROVIDER: S-EPMC3207651 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature