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Cross‐species systems analysis of evolutionary toolkits of neurogenomic response to social challenge
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Abstract
Social challenges like territorial intrusions evoke behavioral responses in widely diverging species. Recent work has showed that evolutionary “toolkits”—genes and modules with lineage‐specific variations but deep conservation of function—participate in the behavioral response to social challenge. Here, we develop a multispecies computational‐experimental approach to characterize such a toolkit at a systems level. Brain transcriptomic responses to social challenge was probed via RNA‐seq profiling in three diverged species—honey bees, mice and three‐spined stickleback fish—following a common methodology, allowing fair comparisons across species. Data were collected from multiple brain regions and multiple time points after social challenge exposure, achieving anatomical and temporal resolution substantially greater than previous work. We developed statistically rigorous analyses equipped to find homologous functional groups among these species at the levels of individual genes, functional and coexpressed gene modules, and transcription factor subnetworks. We identified six orthogroups involved in response to social challenge, including groups represented by mouse genes Npas4 and Nr4a1 , as well as common modulation of systems such as transcriptional regulators, ion channels, G‐protein‐coupled receptors and synaptic proteins. We also identified conserved coexpression modules enriched for mitochondrial fatty acid metabolism and heat shock that constitute the shared neurogenomic response. Our analysis suggests a toolkit wherein nuclear receptors, interacting with chaperones, induce transcriptional changes in mitochondrial activity, neural cytoarchitecture and synaptic transmission after social challenge. It shows systems‐level mechanisms that have been repeatedly co‐opted during evolution of analogous behaviors, thus advancing the genetic toolkit concept beyond individual genes.
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“Similarly, bGRNs and associated coexpression modules provide glimpses of shared mechanisms of behavior in different species even if such evolutionary toolkits are not apparent at the individual gene level (9, 41).”
From Behavior-related gene regulatory networks: A new level of organization in the brain (2020) · cites this paper as [41]
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Cited by
Behavior-related gene regulatory networks: A new level of organization in the brain
Sinha, S., Jones, B. M., Traniello, I. M., Bukhari, S. A., Halfon, M. S., Hofmann, H. A., Huang, S., Katz, P. S., Keagy, J., Lynch, V. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921625117 · Cited by 85
Self-citation
Metadata
- Authors
- Saul, M. C., Blatti, C., Yang, W., Bukhari, S. A., Shpigler, H. Y., Troy, J. M., Seward, C. H., Sloofman, L., Chandrasekaran, S., Bell, A. M., Stubbs, L., Robinson, G. E., Zhao, S. D., & Sinha, S.
- Affiliations
- Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana‐Champaign Urbana Illinois
- Biomedical Engineering University of Michigan Ann Arbor Michigan
- ORCID
- Shpigler, Hagai Y.
- Venue
- Genes, Brain and Behavior
- Publisher
- Wiley
- Published
- 2018-07-16
- Volume
- 18
- Issue
- 1
- ISSN
- 1601-1848
- 1601-183X
- PMC
- PMC6314924
- Cited by
- 38
- References
- 67
- Language
- en
- Licence
- Funders
- Division of Mathematical Sciences (DMS‐1613005)
- National Institute of General Medical Sciences (1U54GM114838)
- Simons Foundation (SFLife 291812)
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