Core and region-enriched networks of behaviorally regulated genes and the singing genome
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Kellis_Core and.pdf
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Author(s)
Whitney, Osceola
Pfenning, Andreas R.
Howard, Jason T.
Blatti, Charles A.
Liu, Fang
Ward, James M.
Wang, Rui
Audet, Jean-Nicolas
Kellis, Manolis
Mukherjee, Sayan
Date Issued
December 2014
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Whitney, O., A. R. Pfenning, J. T. Howard, C. A. Blatti, F. Liu, J. M. Ward, R. Wang, et al. “Core and Region-Enriched Networks of Behaviorally Regulated Genes and the Singing Genome.” Science 346, no. 6215 (December 11, 2014): 1256780–1256780.
Version
Author's final manuscript
Abstract
Songbirds represent an important model organism for elucidating molecular mechanisms that link genes with complex behaviors, in part because they have discrete vocal learning circuits that have parallels with those that mediate human speech. We found that ~10% of the genes in the avian genome were regulated by singing, and we found a striking regional diversity of both basal and singing-induced programs in the four key song nuclei of the zebra finch, a vocal learning songbird. The region-enriched patterns were a result of distinct combinations of region-enriched transcription factors (TFs), their binding motifs, and presinging acetylation of histone 3 at lysine 27 (H3K27ac) enhancer activity in the regulatory regions of the associated genes. RNA interference manipulations validated the role of the calcium-response transcription factor (CaRF) in regulating genes preferentially expressed in specific song nuclei in response to singing. Thus, differential combinatorial binding of a small group of activity-regulated TFs and predefined epigenetic enhancer activity influences the anatomical diversity of behaviorally regulated gene networks.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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DOI of Published Version
https://doi.org/10.1126/science.1256780
