Proceedings of the National Academy of SciencesNeurosciencePeer-reviewed journal article
Ancestral regulatory mechanisms specify conserved midbrain circuitry in arthropods and vertebrates
Jéssika Cristina BridiiD, Zoe N. LudlowiD, Benjamin KottleriD, Beate Hartmann, Lies Vanden Broeck, Jonah DearloveiD, Markus GökeriD, Nicholas James StrausfeldiD, Patrick CallaertsiD, Frank HirthiD
Abstract
Corresponding attributes of neural development and function suggest arthropod and vertebrate brains may have an evolutionarily conserved organization. However, the underlying mechanisms have remained elusive. Here we identify a gene regulatory and character identity network defining the deutocerebral-tritocerebral boundary (DTB) in Drosophila. We show this network comprises genes homologous to those directing midbrain-hindbrain boundary (MHB) formation in vertebrates and their closest chordate relatives. Genetic tracing reveals that the embryonic DTB gives rise to adult midbrain circuits that in flies control auditory and vestibular information processing and motor coordination, as do MHB-derived circuits in vertebrates. DTB-specific gene expression and function is directed by cis-regulatory elements (CREs) of developmental control genes that include homologs of mammalian Zinc finger of the cerebellum and Purkinje cell protein 4. Moreover, Drosophila DTB-specific CREs correspond to regulatory sequences of human ENGRAILED-2, PAX-2 and DACHSHUND-1 that direct MHB-specific expression in the embryonic mouse brain. Together, these findings imply ancestral regulatory mechanisms mediating the genetic specification of midbrain-cerebellar circuitry for balance and motor control that may predated the radiation of cephalic nervous systems across the animal kingdom.
- organism: Drosophila
- organism: mouse
- organism: human
- assay: DNA methylation
- assay: ChIP-seq
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 32
- FWCI
- 1.70
- Field percentile
- top 15%
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