Insights into the Transcriptional Architecture of Behavioral Plasticity in the Honey Bee Apis mellifera

Abdullah M. Khamis(King Abdullah University of Science and Technology), Adam R. Hamilton(University of Illinois Urbana-Champaign), Yulia A. Medvedeva(King Abdullah University of Science and Technology), Tanvir Alam(King Abdullah University of Science and Technology), Intikhab Álam(King Abdullah University of Science and Technology), Magbubah Essack(King Abdullah University of Science and Technology), Boris Umylny(Moog (United States)), Boris R. Janković(King Abdullah University of Science and Technology), Nicholas L. Naeger(University of Illinois Urbana-Champaign), Makoto Suzuki(Yokohama City University), Matthias Harbers(RIKEN Center for Integrative Medical Sciences), Gene E. Robinson(University of Illinois Urbana-Champaign), Vladimir B. Bajić(King Abdullah University of Science and Technology)
Scientific Reports
June 15, 2015
Cited by 63Open Access
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Abstract

Honey bee colonies exhibit an age-related division of labor, with worker bees performing discrete sets of behaviors throughout their lifespan. These behavioral states are associated with distinct brain transcriptomic states, yet little is known about the regulatory mechanisms governing them. We used CAGEscan (a variant of the Cap Analysis of Gene Expression technique) for the first time to characterize the promoter regions of differentially expressed brain genes during two behavioral states (brood care (aka "nursing") and foraging) and identified transcription factors (TFs) that may govern their expression. More than half of the differentially expressed TFs were associated with motifs enriched in the promoter regions of differentially expressed genes (DEGs), suggesting they are regulators of behavioral state. Strikingly, five TFs (nf-kb, egr, pax6, hairy, and clockwork orange) were predicted to co-regulate nearly half of the genes that were upregulated in foragers. Finally, differences in alternative TSS usage between nurses and foragers were detected upstream of 646 genes, whose functional analysis revealed enrichment for Gene Ontology terms associated with neural function and plasticity. This demonstrates for the first time that alternative TSSs are associated with stable differences in behavior, suggesting they may play a role in organizing behavioral state.


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