Summary
This large-scale comparative transcriptomic study across 17 vertebrate species reveals deep evolutionary conservation of retinal cell classes while showing increasing diversity toward the retinal output layer (RGCs), suggesting that species-specific visual adaptations occur primarily at the level of retinal output. The discovery that midget RGCs — which dominate the human retina and underpin high-acuity vision — have ancient evolutionary origins with mouse orthologues provides a new framework for using animal models to study human retinal diseases and visual processing.
Key Findings
- Single-cell transcriptomic atlases were generated and integrated across 17 vertebrate species spanning humans, non-human primates, rodents, ungulates, opossum, ferret, tree shrew, bird, reptile, teleost fish, and lamprey.
- Midget RGCs, which comprise >80% of RGCs in the human retina, were found to have rodent orthologues comprising only ~2% of mouse RGCs, with large receptive fields compared to the small fields of primate midget RGCs.
- Evolutionary variation among cell types increases progressively from the outer retina (photoreceptors) to inner retina (RGCs), indicating that natural selection acts preferentially on retinal output circuits.
- Both primate and mouse midget RGC orthologues show overrepresentation of projections to the thalamus (supplying primary visual cortex), supporting a shared ancestral function in cortical visual processing.
- Major retinal subclasses are conserved across species, but cell-type-level variation is pronounced, with transcriptomic divergence correlating with evolutionary distance.
Categories
Eye Health & Vision: Investigates the evolutionary conservation and divergence of retinal cell types across 17 vertebrate species, with implications for understanding human retinal ganglion cell biology and visual acuity.
The Science of Light: Characterizes the molecular diversity of photoreceptors and retinal ganglion cells including ipRGC-relevant cell classes across vertebrates, informing fundamental photoreceptor biology.
Author(s)
J Hahn, A Monavarfeshani, M Qiao, AH Kao, Y Kölsch
Publication Year
2023
Number of Citations
10
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