eLifeDevelopmental BiologyPeer-reviewed journal article
An ancestral apical brain region contributes to the central complex under the control of foxQ2 in the beetle Tribolium castaneum
Bicheng He, Marita BuescheriD, Max S. FarnworthiD, Frederic StrobliD, Ernst H. K. StelzeriD, Nikolaus Dieter Bernhard Koniszewski, Dominik MühleniD, Gregor BucheriD
Abstract
The genetic control of anterior brain development is highly conserved throughout animals. For instance, a conserved anterior gene regulatory network specifies the ancestral neuroendocrine center of animals and the apical organ of marine organisms. However, its contribution to the brain in non-marine animals has remained elusive. Here, we study the function of the Tc-foxQ2 forkhead transcription factor, a key regulator of the anterior gene regulatory network of insects. We characterized four distinct types of Tc-foxQ2 positive neural progenitor cells based on differential co-expression with Tc-six3/optix, Tc-six4, Tc-chx/vsx, Tc-nkx2.1/scro, Tc-ey, Tc-rx and Tc-fez1. An enhancer trap line built by genome editing marked Tc-foxQ2 positive neurons, which projected through the primary brain commissure and later through a subset of commissural fascicles. Eventually, they contributed to the central complex. Strikingly, in Tc-foxQ2 RNAi knock-down embryos the primary brain commissure did not split and subsequent development of midline brain structures stalled. Our work establishes foxQ2 as a key regulator of brain midline structures, which distinguish the protocerebrum from segmental ganglia. Unexpectedly, our data suggest that the central complex evolved by integrating neural cells from an ancestral anterior neuroendocrine center.\n\nSummary statementAn ancestral neuroendocrine center contributes to the evolution of the central complex. foxQ2 is a gene required for the development of midline structures of the insect brain, which distinguish protocerebrum from segmental ganglia.
- research focus: gene regulatory network inference
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 50
- FWCI
- 2.27
- Field percentile
- top 12%
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