HCA Data Explorer

Evolution of neuronal cell classes and types in the vertebrate retina

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Updated September 18, 2024

The basic plan of the retina is conserved across vertebrates, yet species differ profoundly in their visual needs. Retinal cell types may have evolved to accommodate these varied needs, but this has not been systematically studied. Here we generated and integrated single-cell transcriptomic atlases of the retina from 17 species: humans, two non-human primates, four rodents, three ungulates, opossum, ferret, tree shrew, a bird, a reptile, a teleost fish and a lamprey. We found high molecular conservation of the six retinal cell classes (photoreceptors, horizontal cells, bipolar cells, amacrine cells, retinal ganglion cells (RGCs) and Müller glia), with transcriptomic variation across species related to evolutionary distance. Major subclasses were also conserved, whereas variation among cell types within classes or subclasses was more pronounced. However, an integrative analysis revealed that numerous cell types are shared across species, based on conserved gene expression programmes that are likely to trace back to an early ancestral vertebrate. The degree of variation among cell types increased from the outer retina (photoreceptors) to the inner retina (RGCs), suggesting that evolution acts preferentially to shape the retinal output. Finally, we identified rodent orthologues of midget RGCs, which comprise more than 80% of RGCs in the human retina, subserve high-acuity vision, and were previously believed to be restricted to primates. By contrast, the mouse orthologues have large receptive fields and comprise around 2% of mouse RGCs. Projections of both primate and mouse orthologous types are overrepresented in the thalamus, which supplies the primary visual cortex. We suggest that midget RGCs are not primate innovations, but are descendants of evolutionarily ancient types that decreased in size and increased in number as primates evolved, thereby facilitating high visual acuity and increased cortical processing of visual information.

Joshua R SanesCenter for Brain Science, Harvard Universitysanesj@mcb.harvard.edu
Karthik ShekharUniversity of California, Berkeleykshekhar@berkeley.edu
Joshua Hahn1
Aboozar Monavarfeshani2
Mu Qiao3
Allison H Kao2
Yvonne Kölsch4
Ayush Kumar1
Vincent P Kunze5
Ashley M Rasys6
Rose Richardson7
Joseph B Wekselblatt3
Herwig Baier4
Robert J Lucas7
Wei Li5
Markus Meister3
Joshua T Trachtenberg8
Wenjun Yan2
Yi-Rong Peng9
Joshua R Sanes2
Karthik Shekhar1
1University of California, Berkeley
2Center for Brain Science, Harvard University
3California Institute of Technology
4Max Planck Institute for Biological Intelligence
5National Eye Institute, National Institutes of Health
6University of Georgia
7University of Manchester
8University of California, Los Angeles
9University of California Los Angeles, Stein Eye Institute
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/c3dd819d-abab-4957-b209-88f1e0900368

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://github.com/shekharlab/RetinaEvolution2.https://zenodo.org/record/8067826
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

EyeRetina v1.0

Analysis Portals

None

Project Label

RetinaEvolutionHumanHahn

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

eye

Organ Part

2 organ parts

Selected Cell Types

retinal ganglion cell

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human life cycle

Library Construction Method

10x 3' v3

Nucleic Acid Source

single nucleus

Paired End

false

Analysis Protocol

raw_matrix_generation

File Format

3 file formats

Cell Count Estimate

174.6k

Donor Count

18
csv.gz4 file(s)fastq.gz182 file(s)xlsx1 file(s)