AI Article Synopsis

  • The little skate, a cartilaginous fish, exhibits walking-like behavior using genetic and neural properties similar to land vertebrates, but research on its motor circuit development has been limited due to the absence of a high-quality genome reference.
  • A new assembly of the little skate genome with accurate gene annotation enabled detailed analysis of spinal motor neurons critical for locomotion.
  • Comparisons between the motor neuron transcriptomes of the little skate, mouse, and chicken revealed both shared and different gene expression patterns, indicating evolutionary conserved and unique mechanisms in motor neuron development among vertebrates, suggesting complexity in the emergence of advanced motor systems in tetrapods.

Article Abstract

The little skate , a cartilaginous fish, displays pelvic fin driven walking-like behavior using genetic programs and neuronal subtypes similar to those of land vertebrates. However, mechanistic studies on little skate motor circuit development have been limited, due to a lack of high-quality reference genome. Here, we generated an assembly of the little skate genome, with precise gene annotation and structures, which allowed post-genome analysis of spinal motor neurons (MNs) essential for locomotion. Through interspecies comparison of mouse, skate and chicken MN transcriptomes, shared and divergent gene expression profiles were identified. Comparison of accessible chromatin regions between mouse and skate MNs predicted shared transcription factor (TF) motifs with divergent ones, which could be used for achieving differential regulation of MN-expressed genes. A greater number of TF motif predictions were observed in MN-expressed genes in mouse than in little skate. These findings suggest conserved and divergent molecular mechanisms controlling MN development of vertebrates during evolution, which might contribute to intricate gene regulatory networks in the emergence of a more sophisticated motor system in tetrapods.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605692PMC
http://dx.doi.org/10.7554/eLife.78345DOI Listing

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