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

摘要: 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 the coordinated action of transcription factors (TFs) and their predicted target genes. Unsupervised hierarchical clustering these showed three clusters correspond to ecologically important categories: aggression, maturation, foraging. To explore genetic influences potentially regulating states, reconstructed a transcriptional regulatory network (TRN) model. This TRN quantitatively predicts with high accuracy gene expression changes more than 2,000 genes involved behavior, even for on which it was not trained, suggesting there is core set TFs regulates bee brain, other specific particular categories. playing key roles include well-known regulators neural plasticity, e.g., Creb, as well better known biological NF-κB (immunity). Our results reveal insights concerning relationship between behavior. First, behaviors are subserved by brain. Second, underlying different rely upon both shared modules. Third, despite complexity simple linear relationships putative surprisingly prominent feature networks