Evolution of neuronal types and families

Area of Science:

• Evolutionary biology
• Neuroscience
• Genomics

Background:

• Unresolved questions persist regarding the origin and evolution of neurons and complex nervous systems.
• Comparative single-cell transcriptomics offers novel approaches to investigate these evolutionary questions.

Purpose of the Study:

• To review conceptual advancements in defining cell types from an evolutionary perspective.
• To demonstrate how single-cell data facilitates the identification and comparison of neuronal types and families.
• To highlight methods for inferring cell type-specific innovations.

Main Methods:

• Comparative single-cell transcriptomics analysis.
• Review of conceptual progress in evolutionary cell type definition.
• Case study: GABAergic neurons in the vertebrate forebrain.

Main Results:

• Single-cell transcriptomics enables an evolutionary definition of cell types.
• Facilitates large-scale identification and comparison of neuronal types and families.
• Strategies for inferring cell type-specific innovations (apomeres) are presented.

Conclusions:

• Single-cell transcriptomics is a powerful tool for understanding nervous system evolution.
• An evolutionary framework for cell types aids in comparative analyses.
• This approach sheds light on neuronal diversification and innovation.