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A predisposed motor bias shapes individuality in vocal learning.

Noriyuki TojiAzusa SawaiHongdi WangYu JiRintaro SugiokaYasuhiro GoKazuhiro Wada
Published in: Proceedings of the National Academy of Sciences of the United States of America (2024)
The development of individuality during learned behavior is a common trait observed across animal species; however, the underlying biological mechanisms remain understood. Similar to human speech, songbirds develop individually unique songs with species-specific traits through vocal learning. In this study, we investigate the developmental and molecular mechanisms underlying individuality in vocal learning by utilizing F 1 hybrid songbirds ( Taeniopygia guttata cross with Taeniopygia bichenovii ), taking an integrating approach combining experimentally controlled systematic song tutoring, unbiased discriminant analysis of song features, and single-cell transcriptomics. When tutoring with songs from both parental species, F 1 hybrid individuals exhibit evident diversity in their acquired songs. Approximately 30% of F 1 hybrids selectively learn either song of the two parental species, while others develop merged songs that combine traits from both species. Vocal acoustic biases during vocal babbling initially appear as individual differences in songs among F 1 juveniles and are maintained through the sensitive period of song vocal learning. These vocal acoustic biases emerge independently of the initial auditory experience of hearing the biological father's and passive tutored songs. We identify individual differences in transcriptional signatures in a subset of cell types, including the glutamatergic neurons projecting from the cortical vocal output nucleus to the hypoglossal nuclei, which are associated with variations of vocal acoustic features. These findings suggest that a genetically predisposed vocal motor bias serves as the initial origin of individual variation in vocal learning, influencing learning constraints and preferences.
Keyphrases
  • single cell
  • stem cells
  • endothelial cells
  • gene expression
  • rna seq
  • genetic diversity
  • cell therapy
  • high throughput