Summary: Study supports the theory that highly specialized neurons in the brain are key to translating diverse visual stimuli into behavior.
Source: Max Planck Institute
Retinal ganglion cells (RGCs) are the bottleneck through which all visual impressions flow from the retina to the brain. A team from the Max Planck Institute of Neurobiology, University of California Berkeley and Harvard University created a molecular catalog that describes the different types of these neurons. In this way, individual RGC types could be systematically studied and linked to a specific connection, function and behavioral response.
When zebrafish see light, they often swim towards it. Same with prey, although the signals are entirely different. A predator, on the other hand, prompts the fish to escape. That’s good, because a mix-up would have fatal consequences. But how does the brain manage to react to a visual stimulus with the proper behavior?
Optical signals are generated by photons that bombard the retina of the eye. Neurons in the retina collect and process these impressions. While doing so, the retina focuses on the important details: Is there contrast or color? Are there small or large objects? Is something moving? Once these details are filtered out, retinal ganglion cells (RGCs) send them to the brain, where they are translated into a specific behavior.
As the only connection between the retina and the brain, RGCs play a central role in the visual system. We already knew that specific RGC types sends different details to different regions of the brain. However, it has been unclear how RGC types differ on the molecular level, what their respective functions are, and how they help to regulate context-dependent behavior.
To begin to solve this puzzle, a team led by Yvonne Kölsch from Herwig Baier’s laboratory analyzed the genetic diversity of RGCs. Collaborating with the groups of Joshua Sanes (Harvard University) and Karthik Shekhar (UC Berkeley), they determined the transcriptomes, i. e., the patterns of all active genes, in RGCs and thereby assigned each cell its own unique molecular fingerprint. A computational analysis of the large scale dataset comprising >30,000 RGCs identified at least 32 different RGC types based on similarities.
Cell type specific genes
In this new catalog of neuronal cell types, the scientists found genes that are only active in certain RGC types. With the help of these genes and targeted genome editing, they gained genetic access to selected RGC types – the prerequisite for studying their structure and function.
In the almost transparent zebrafish, it was thus possible to fluorescently label RGC types and to record in which brain regions their axonal projections end. It was also possible to determine which visual detail a RGC type prefers. To do this, the researchers showed fish larvae various visual stimuli and investigated which of them activate a particular cell type. For example, one RGC type reacted to light, but not to the simulation of an attacking predator.
What does it mean for the fish’s behavior if this cell type no longer functions? Normally, fish larvae prefer a bright environment in which they can perceive their surroundings and easily find food. When the scientists inactivated the above cell type measuring light conditions, the fish lost their ability to navigate to their favorable environment – a clear sign that the RGC type is especially important for approaching light.
Highly specialized genes
The analysis links a molecularly described RGC type to a specific structure, function and behavioral response. It also shows how specialized individual RGC types are – from the brain regions they contact to their role in behavior. This finding supports the theory that highly specialized neuronal circuits are the brain’s secret to translating diverse visual stimuli into proper behavior.
In the future, the molecular catalog will allow to systematically investigate other RGC types. The study thus takes us a decisive step forward in gaining a comprehensive understanding of the functional architecture of the visual system.
About this visual neuroscience news
Source: Max Planck Institute
Contact: Christina Bielmeier – Max Planck Institute
Image: The image is credited to MPI of Neurobiology / Kuhl
Original Research: Closed access.
“Molecular classification of zebrafish retinal ganglion cells links genes to cell types to behavior” by Yvonne Kölsch, Joshua Hahn, Anna Sappington, Manuel Stemmer, António M. Fernandes, Thomas O. Helmbrecht, Shriya Lele, Salwan Butrus, Eva Laurell, Irene Arnold-Ammer, Karthik Shekhar, Joshua R. Sanes and Herwig Baier. Neuron
Molecular classification of zebrafish retinal ganglion cells links genes to cell types to behavior
- •Transcriptional profiling classifies >30 distinct retinal ganglion cell types
- •Molecular profiles of RGCs correlate with morphological and physiological features
- •Genome-engineered driver lines provide selective access to RGC types
- •Perturbation of a genetically defined visual pathway disrupts phototaxis
Retinal ganglion cells (RGCs) form an array of feature detectors, which convey visual information to central brain regions. Characterizing RGC diversity is required to understand the logic of the underlying functional segregation. Using single-cell transcriptomics, we systematically classified RGCs in adult and larval zebrafish, thereby identifying marker genes for >30 mature types and several developmental intermediates. We used this dataset to engineer transgenic driver lines, enabling specific experimental access to a subset of RGC types. Expression of one or few transcription factors often predicts dendrite morphologies and axonal projections to specific tectal layers and extratectal targets. In vivo calcium imaging revealed that molecularly defined RGCs exhibit specific functional tuning. Finally, chemogenetic ablation of eomesa+ RGCs, which comprise melanopsin-expressing types with projections to a small subset of central targets, selectively impaired phototaxis. Together, our study establishes a framework for systematically studying the functional architecture of the visual system.