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Pushchin I, Kondrashev S, Borshcheva T. The structure and diversity of retinal ganglion cells in the masked greenling Hexagrammos octogrammus Pallas, 1814 (Pisces: Scorpaeniformes: Hexagrammidae). JOURNAL OF FISH BIOLOGY 2023; 102:550-563. [PMID: 36482763 DOI: 10.1111/jfb.15287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/05/2022] [Indexed: 06/17/2023]
Abstract
The authors studied the structure and diversity of retinal ganglion cells (GC) in the masked greenling Hexagrammos octogrammus. In vivo labelling with horseradish peroxidase revealed GCs of various structures in retinal wholemounts. A total of 154 cells were camera lucida drawn, and their digital models were generated. Each cell was characterized by 17 structural and topological parameters. Using nine clustering algorithms, a variety of clusterings were obtained. The optimum clustering was found using silhouette analysis. It was based on a set of three variables associated with dendritic field size and dendrite stratification depth in the retina. A total of nine cell types were discovered. A number of non-parametric tests showed significant pair-wise between-cluster differences in at least four parameters with medium and large effect sizes. Three large-field types differed mainly in dendritic field size, total dendrite length, level of dendrite stratification in the retina and position of somata. Six medium- to small-field types differed mainly in the structural complexity of dendritic arbors and level of dendrite arborization. Cells similar and obviously homologous to types 1-4 were identified in many fish species, including teleosts. Potential homologues of type 5 cells were identified in fewer teleost species. Cells similar to types 6-9 in relative dendritic field size and dendrite arborization pattern were also described in several teleostean species. Nonetheless, their homology is more questionable as their stratification patterns do not match so well as they do in large types. Potential functional matches of the GC types were identified in a number of teleostean species. Type 1 and 2 cells probably match spontaneously active units with the large receptive field centre, so-called dimming and lightening detectors; type 4 may be a counterpart of changing contrast detectors with medium receptive field centre size preferring fast-moving stimuli. Type 3 (biplexiform) cells have no obvious functional matches. Probable functional matches of types 6, 8 and 9 belong to ON-centre elements with small receptive fields such as ON-type direction-selective cells, ON-type spot detectors or ON-type spontaneously active units. Type 5 and 7 cells may match ON-OFF type units, in particular, changing contrast detectors or orientation-selective units. Potential functional matches of GC types presently described are involved in a wide spectrum of visual reactions related to adaptation to gradual change in illumination, predator escape, prey detection and capture, habitat selection and social behaviour.
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Affiliation(s)
- Igor Pushchin
- Laboratory of Physiology, A.V. Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia
| | - Sergei Kondrashev
- Laboratory of Physiology, A.V. Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia
| | - Tatiana Borshcheva
- Primorsky Aquarium, A.V. Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences, Vladivostok, Russia
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Alexander E, Cai LT, Fuchs S, Hladnik TC, Zhang Y, Subramanian V, Guilbeault NC, Vijayakumar C, Arunachalam M, Juntti SA, Thiele TR, Arrenberg AB, Cooper EA. Optic flow in the natural habitats of zebrafish supports spatial biases in visual self-motion estimation. Curr Biol 2022; 32:5008-5021.e8. [PMID: 36327979 PMCID: PMC9729457 DOI: 10.1016/j.cub.2022.10.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 08/15/2022] [Accepted: 10/05/2022] [Indexed: 12/12/2022]
Abstract
Animals benefit from knowing if and how they are moving. Across the animal kingdom, sensory information in the form of optic flow over the visual field is used to estimate self-motion. However, different species exhibit strong spatial biases in how they use optic flow. Here, we show computationally that noisy natural environments favor visual systems that extract spatially biased samples of optic flow when estimating self-motion. The performance associated with these biases, however, depends on interactions between the environment and the animal's brain and behavior. Using the larval zebrafish as a model, we recorded natural optic flow associated with swimming trajectories in the animal's habitat with an omnidirectional camera mounted on a mechanical arm. An analysis of these flow fields suggests that lateral regions of the lower visual field are most informative about swimming speed. This pattern is consistent with the recent findings that zebrafish optomotor responses are preferentially driven by optic flow in the lateral lower visual field, which we extend with behavioral results from a high-resolution spherical arena. Spatial biases in optic-flow sampling are likely pervasive because they are an effective strategy for determining self-motion in noisy natural environments.
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Affiliation(s)
- Emma Alexander
- Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA 94720, USA,Present address: Department of Computer Science, Northwestern University, Evanston, IL 60208, USA,Lead contact,Correspondence:
| | - Lanya T. Cai
- Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA 94720, USA,Present address: Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sabrina Fuchs
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tubingen, 72076 Tubingen, Germany
| | - Tim C. Hladnik
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tubingen, 72076 Tubingen, Germany,Graduate Training Centre for Neuroscience, University of Tubingen, 72074 Tubingen, Germany
| | - Yue Zhang
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tubingen, 72076 Tubingen, Germany,Graduate Training Centre for Neuroscience, University of Tubingen, 72074 Tubingen, Germany,Present address: Department of Cellular and Systems Neurobiology, Max Planck Institute for Biological Intelligence in Foundation, 82152 Martinsried, Germany
| | - Venkatesh Subramanian
- Department of Biological Sciences, University of Toronto Scarborough, Toronto M1C 1A4, Canada
| | - Nicholas C. Guilbeault
- Department of Biological Sciences, University of Toronto Scarborough, Toronto M1C 1A4, Canada,Department of Cell and Systems Biology, University of Toronto, Toronto M5S 3G5, Canada
| | - Chinnian Vijayakumar
- Department of Zoology, St. Andrew’s College, Gorakhpur, Uttar Pradesh 273001, India
| | - Muthukumarasamy Arunachalam
- Department of Zoology, School of Biological Sciences, Central University of Kerala, Kerala 671316, India,Present address: Centre for Inland Fishes and Conservation, St. Andrew’s College, Gorakhpur, Uttar Pradesh 273001, India
| | - Scott A. Juntti
- Department of Biology, University of Maryland, College Park, MD 20742, USA
| | - Tod R. Thiele
- Department of Biological Sciences, University of Toronto Scarborough, Toronto M1C 1A4, Canada,Department of Cell and Systems Biology, University of Toronto, Toronto M5S 3G5, Canada
| | - Aristides B. Arrenberg
- Werner Reichardt Centre for Integrative Neuroscience, Institute of Neurobiology, University of Tubingen, 72076 Tubingen, Germany
| | - Emily A. Cooper
- Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA 94720, USA,Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA
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Muguruma K, Stell WK, Yamamoto N. A morphological classification of retinal ganglion cells in the Japanese catshark Scyliorhinus torazame. BRAIN, BEHAVIOR AND EVOLUTION 2014; 83:199-215. [PMID: 24642951 DOI: 10.1159/000358285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Accepted: 12/31/2013] [Indexed: 11/19/2022]
Abstract
Retinal ganglion cells (GCs) in the Japanese catshark Scyliorhinus torazame were labeled retrogradely with biotinylated dextran amine (BDA3000). First the labeled cells were classified into 5 morphological types (types I-III: small GCs; types IV and V: large GCs) according to the size of the soma and the dendritic arborization pattern as seen in retinal wholemounts. Type I cells were stellate, with dendrites radiating in different directions. Type II cells had bipolar dendritic trees, with 2 primary dendrites extending in opposite directions. Type III cells had a single thick primary dendrite. Type IV cells were stellate, with dendrites covering a large area centered on the cell body. Type V cells were asymmetric, with most dendrites extending opposite to the axon as a large, fan-shaped dendritic field. Subsequently a wholemount was cross-sectioned, and we classified cells further into multiple subtypes according to the level of dendritic arborization within the inner plexiform layer. The present results suggest the existence of many types of GCs in elasmobranchs in addition to the 3 types of large GCs that have been characterized previously. Some of the newly described GC subtypes in the catshark retina appear to be similar to some of those reported in actinopterygians.
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Affiliation(s)
- Kaori Muguruma
- Laboratory of Fish Biology, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya, Japan
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Baier H. Synaptic laminae in the visual system: molecular mechanisms forming layers of perception. Annu Rev Cell Dev Biol 2013; 29:385-416. [PMID: 24099086 DOI: 10.1146/annurev-cellbio-101011-155748] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Synaptic connections between neurons form the basis for perception and behavior. Synapses are often clustered in space, forming stereotyped layers. In the retina and optic tectum, multiple such synaptic laminae are stacked on top of each other, giving rise to stratified neuropil regions in which each layer combines synapses responsive to a particular sensory feature. Recently, several cellular and molecular mechanisms that underlie the development of multilaminar arrays of synapses have been discovered. These mechanisms include neurite guidance and cell-cell recognition. Molecules of the Slit, Semaphorin, Netrin, and Hedgehog families, binding to their matching receptors, bring axons and dendrites into spatial register. These guidance cues may diffuse over short distances or bind to sheets of extracellular matrix, thus conditioning the local extracellular milieu, or are presented on the surface of cells bordering the future neuropil. In addition, mutual recognition of axons and dendrites through adhesion molecules with immunoglobulin domains ensures cell type-specific connections within a given layer. Thus, an elaborate genetic program assembles the parallel processing channels that underlie visual perception.
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Affiliation(s)
- Herwig Baier
- Genes - Circuits - Behavior, Max Planck Institute of Neurobiology, 82152 Martinsried near Munich, Germany;
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Precise lamination of retinal axons generates multiple parallel input pathways in the tectum. J Neurosci 2013; 33:5027-39. [PMID: 23486973 DOI: 10.1523/jneurosci.4990-12.2013] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The axons of retinal ganglion cells (RGCs) form topographic connections in the optic tectum, recreating a two-dimensional map of the visual field in the midbrain. RGC axons are also targeted to specific positions along the laminar axis of the tectum. Understanding the sensory transformations performed by the tectum requires identification of the rules that control the formation of synaptic laminae by RGC axons. However, there is little information regarding the spatial relationships between multiple axons as they establish laminar and retinotopic arborization fields within the same region of neuropil. Moreover, the contribution of RGC axon lamination to the processing of visual information is unknown. We used Brainbow genetic labeling to visualize groups of individually identifiable axons during the assembly of a precise laminar map in the larval zebrafish tectum. Live imaging of multiple RGCs revealed that axons target specific sublaminar positions during initial innervation and maintain their relative laminar positions throughout early larval development, ruling out a model for lamina selection based on iterative refinements. During this period of laminar stability, RGC arbors undergo structural rearrangements that shift their relative retinotopic positions. Analysis of cell-type-specific lamination patterns revealed that distinct combinations of RGCs converge to form each sublamina, and this input heterogeneity correlates with different functional responses to visual stimuli. These findings suggest that lamina-specific sorting of retinal inputs provides an anatomical blueprint for the integration of visual features in the tectum.
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Gestri G, Link BA, Neuhauss SCF. The visual system of zebrafish and its use to model human ocular diseases. Dev Neurobiol 2012; 72:302-27. [PMID: 21595048 DOI: 10.1002/dneu.20919] [Citation(s) in RCA: 125] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Free swimming zebrafish larvae depend mainly on their sense of vision to evade predation and to catch prey. Hence, there is strong selective pressure on the fast maturation of visual function and indeed the visual system already supports a number of visually driven behaviors in the newly hatched larvae.The ability to exploit the genetic and embryonic accessibility of the zebrafish in combination with a behavioral assessment of visual system function has made the zebrafish a popular model to study vision and its diseases.Here, we review the anatomy, physiology, and development of the zebrafish eye as the basis to relate the contributions of the zebrafish to our understanding of human ocular diseases.
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Affiliation(s)
- Gaia Gestri
- Department of Cell and Developmental Biology, University College, London,UK.
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Zhao XF, Ellingsen S, Fjose A. Labelling and targeted ablation of specific bipolar cell types in the zebrafish retina. BMC Neurosci 2009; 10:107. [PMID: 19712466 PMCID: PMC3224687 DOI: 10.1186/1471-2202-10-107] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2009] [Accepted: 08/27/2009] [Indexed: 02/04/2023] Open
Abstract
Background Development of a functional retina depends on regulated differentiation of several types of neurons and generation of a highly complex network between the different types of neurons. In addition, each type of retinal neuron includes several distinct morphological types. Very little is known about the mechanisms responsible for generating this diversity of retinal neurons, which may also display specific patterns of regional distribution. Results In a screen in zebrafish, using a trapping vector carrying an engineered yeast Gal4 transcription activator and a UAS:eGFP reporter cassette, we have identified two transgenic lines of zebrafish co-expressing eGFP and Gal4 in specific subsets of retinal bipolar cells. The eGFP-labelling facilitated analysis of axon terminals within the inner plexiform layer of the adult retina and showed that the fluorescent bipolar cells correspond to previously defined morphological types. Strong regional restriction of eGFP-positive bipolar cells to the central part of the retina surrounding the optic nerve was observed in adult zebrafish. Furthermore, we achieved specific ablation of the labelled bipolar cells in 5 days old larvae, using a bacterial nitroreductase gene under Gal4-UAS control in combination with the prodrug metronidazole. Following prodrug treatment, nitroreductase expressing bipolar cells were efficiently ablated without affecting surrounding retina architecture, and recovery occurred within a few days due to increased generation of new bipolar cells. Conclusion This report shows that enhancer trapping can be applied to label distinct morphological types of bipolar cells in the zebrafish retina. The genetic labelling of these cells yielded co-expression of a modified Gal4 transcription activator and the fluorescent marker eGFP. Our work also demonstrates the potential utility of the Gal4-UAS system for induction of other transgenes, including a bacterial nitroreductase fusion gene, which can facilitate analysis of bipolar cell differentiation and how the retina recovers from specific ablation of these cells.
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Affiliation(s)
- Xiao-Feng Zhao
- Department of Molecular Biology, University of Bergen, PO Box 7803, N-5020 Bergen, Norway.
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