Abstract
We previously reported strikingly normal morphologies and functional connectivities of regenerated retinal bipolar neurons (BPs) in zebrafish retinas sampled 60 days after a ouabain-mediated lesion of inner retinal neurons (60 DPI) (McGinn et al., ). Here we report early steps in the birth of BPs and formation of their dendritic trees and axonal arbors during regeneration. Adult zebrafish were subjected to ouabain-mediated lesion that destroys inner retinal neurons but spares photoreceptors and Müller glia, and were sampled at 13, 17, and 21 DPI, a timeframe over which plexiform layers reemerge. We show that this timeframe corresponds to reemergence of two populations of BPs (PKCα+ and nyx::mYFP+). Sequential BrdU, EdU incorporation reveals that similar fractions of PKCα+ BPs and HuC/D+ amacrine/ganglion cells are regenerated concurrently, suggesting that the sequence of neuronal production during retinal regeneration does not strictly match that observed during embryonic development. Further, accumulation of regenerated BPs appears protracted, at least through 21 DPI. The existence of isolated, nyx::mYFP+ BPs allowed examination of cytological detail through confocal microscopy, image tracing, morphometric analyses, identification of cone synaptic contacts, and rendering/visualization. Apically-projecting neurites (=dendrites) of regenerated BPs sampled at 13, 17, and 21 DPI are either truncated, or display smaller dendritic trees when compared to controls. In cases where BP dendrites reach the outer plexiform layer (OPL), numbers of dendritic tips are similar to those of controls at all sampling times. Further, by 13–17 DPI, BPs with dendritic tips reaching the outer nuclear layer (ONL) show patterns of photoreceptor connections that are statistically indistinguishable from controls, while those sampled at 21 DPI slightly favor contacts with double cone synaptic terminals over those of blue-sensitive cones. These findings suggest that once regenerated BP dendrites reach the OPL, normal photoreceptor connectomes are established, albeit with some plasticity. Through 17 DPI, some basally-projecting neurites (=axons) of regenerated nyx::mYFP+ BPs traverse long distances, branch into inappropriate layers, or appear to abruptly terminate. These findings suggest that, after a tissue-disrupting lesion, regeneration of inner retinal neurons is a dynamic process that includes ongoing genesis of new neurons and changes in BP morphology.
Introduction
A major challenge in the treatment of human neurodegenerative diseases and trauma affecting the central nervous system is that mammals do not regenerate neurons lost to such conditions, but instead launch a gliotic response that results in tissue scarring (Pekny et al., 2014; Okada et al., 2018), and nervous tissue function is not restored. In contrast, teleost fish respond to neuronal injury in a manner that not only replaces the lost neurons, but also restores tissue function (Mensinger and Powers, , ; Madelaine and Mourrain, ; Ma et al., ; McGinn et al., ). The eye's neural retina, a component of the central nervous system, provides an accessible system for studying these differences in mammals vs. fish (Wan and Goldman, 2016), for identifying factors and conditions that favor regeneration, and for potentially delivering future clinical applications in the treatment of retinal diseases and injuries that would otherwise result in loss of vision.
Vertebrate retinas are highly conserved, with light-sensing rod and cone photoreceptors organized in an outer nuclear layer (ONL), and which transmit information to bipolar cells in the inner nuclear layer (INL), which in turn transmit signals to the output neurons of the retina, the retinal ganglion cells, located in the ganglion cell layer (GCL). Horizontal cells (also in the INL) and amacrine cells (in the INL and GCL) modulate this information flow. The zebrafish animal model has been particularly enlightening toward our understanding of retinal regeneration (Stenkamp, 2015; Wan and Goldman, 2016; Ail and Perron, ). In zebrafish, injuries that target all neurons (Sherpa et al., 2008), only photoreceptors (Kassen et al., ; Nagashima et al., 2013; Ranski et al., 2018), only inner retinal neurons (INL and GCL; Fimbel et al., ; Sherpa et al., 2014), are regionally specific (Fausett and Goldman, ), or target selected specific cell types (Fraser et al., ; D'Orazi et al., ; White et al., 2017), all result in a regenerative response that replaces these missing neurons. Studies making use of these injuries have revealed that the major glial cell type of the retina, the Müller glia, is the stem cell source of regenerated retinal neurons in the zebrafish (Fausett and Goldman, ; Bernardos et al., ; Nagashima et al., 2013). Several regulatory factors have been identified that promote or are necessary for Müller glia to re-enter the cell cycle and generate neural progenitors (Fausett et al., ; Qin et al., 2011; Ramachandran et al., 2011a,b; Lenkowski et al., ; Nagashima et al., 2013; Nelson et al., 2013), which then proliferate and produce the regenerated retinal neurons (Nagashima et al., 2013; Gorsuch and Hyde, ; Powell et al., 2016). Some of this knowledge has already been applied in strategies for coaxing the Müller glia of mouse retina to generate retinal neurons (Ahmad et al., ; Hyde and Reh, ; Jorstad et al., ; Yao et al., 2018).
A widely anticipated obstacle for the future application of endogenous regeneration strategies, as well as for the use of transplantation approaches to treat retinal disorders, is ensuring that the replacement neurons establish synaptic communication with the appropriate pre- and/or post-synaptic partners (Angueyra and Kindt, ). Indeed, teleost fish not only regenerate lost neurons, these regenerated neurons restore visual functions indicating successful rewiring (Mensinger and Powers, , ; Sherpa et al., 2008, 2014; McGinn et al., ). Further, this restoration of visual function is possible even when pre- and post-synaptic partners are simultaneously destroyed (Mensinger and Powers, , ; Sherpa et al., 2008, 2014; McGinn et al., ). Recently, Yao et al. (2018) showed that such successful rewiring is possible in a mouse model for rod photoreceptor degeneration, in that new rods regenerated by genetically altered Müller glia can transmit signals that are propagated through the visual system. However, this promising and exciting finding does not negate the obstacle of rewiring in mammalian retinal disorders, because in these disorders the retinal environment is altered by an inflammatory response (Arroba et al., ), neuronal remodeling takes place (Genove et al., ), gliotic scarring may block access to synaptic partners (Genove et al., ), and multiple neuronal cell types may be destroyed, damaged, or their function altered (Narayan et al., 2016).
The zebrafish retina again appears to represent a system that demonstrates the ability to overcome these obstacles. The damaged zebrafish retina also displays features that could be considered obstacles similar to those in damaged mammalian retina. The damaged zebrafish retina experiences an infiltration of microglia and macrophages (Mitchell et al., ), retains the potential for a gliotic response (Morris et al., 2008; Thomas et al., 2016), undergoes retinal remodeling (Saade et al., 2013), and the regenerating/regenerated zebrafish retina shows abnormal patterns of lamination of the retinal layers (Sherpa et al., 2014), and of the two-dimensional organization of neuronal classes within each layer (Vihtelic and Hyde, 2000; Stenkamp and Cameron, 2002). Regenerating zebrafish retinas also produce supernumerary neurons, and produce other neuronal types in addition to those lost to the initial injury (Sherpa et al., 2008, 2014; Powell et al., 2016). Despite these apparent obstacles, however, regenerated zebrafish retina is functional, as measured by behavioral assays for vision (Sherpa et al., 2008, 2014), and a physiological assay, the electroretinogram (ERG) (McGinn et al., ), suggesting at least some degree of accurate rewiring. Consistent with this idea, a recent report by D'Orazi et al. () noted minimal errors in connectivity patterns of regenerated retinal bipolar (BP) neurons after cell-selective lesion in larval zebrafish. Further, we recently reported that regenerated BPs of adult zebrafish also establish essentially normal cone connections, dendritic and axonal arbor morphologies, and axon terminal stratification patterns following a tissue-disrupting lesion that destroys inner retinal neurons (McGinn et al., ). These studies strongly suggest that the process of rewiring regenerated retinal neurons is successful in the zebrafish, regardless of the environmental conditions created by damage.
Do newly-regenerated BPs immediately display normal morphologies and connectivities, or are these features differentiated later? When do regenerated BPs emerge relative to their synaptic partners, when partners are also destroyed and regenerated? Does this match the sequence of synaptic partner generation seen during embryonic development? When do regenerated BPs show mature morphologies and accurate connectivities? This information will be of immense utility for therapeutic applications in which transplanted or regenerated retinal neurons must accomplish the same in an injured human retina (Angueyra and Kindt, ). As the next step toward answering these questions and achieving this goal, in the present study we describe the early stages of the BP regenerative process following a tissue-disrupting injury that selectively destroys inner retinal neurons. We find that regenerated BPs appear from 13 to 21 days post-injury (DPI), coincident with the reemerging plexiform layers (Fimbel et al., ), and birthdating indicates that, in contrast to the developmental sequence, these BPs are regenerated concurrently with their postsynaptic partners (amacrine and ganglion cells). The dendritic trees and axonal arbors of some newly regenerated BPs remain immature or highly abnormal at 13 and 17 DPI, but all sampled regenerated BPs show normal dendritic tree morphologies by 21 DPI. The generation and morphological differentiation of regenerated BPs appears distinctive in many ways in comparison with these processes during embryonic development, underscoring the need to further investigate this process.
Materials and Methods
Animals and Retinal Lesioning
Animals
Zebrafish (both sexes) used in this study were either of a wild-type strain originally obtained from Scientific Hatcheries (SciH, now Aquatica Tropicals), or were transgenic for one or both of the following transgenes: nyx::mYFP, sws2:mCherry. The nyx::mYFP transgenics are a line in which the nyctalopin (nyx) promoter drives Gal4, likely co-integrated with a construct in which the UAS enhancer drives expression of membrane-associated yellow fluorescence protein (mYFP) (Schroeter et al., 2006). In the adult nyx::mYFP zebrafish, a subpopulation of ON and Mixed (ON/OFF) retinal bipolar neurons (BPs) expresses YFP (McGinn et al., ). The sws2:mCherry transgene results in mCherry expression in blue-sensitive (SWS1) cone photoreceptors (Sifuentes et al., 2016). Zebrafish were maintained according to Westerfield (Westerfield, 2007) in monitored, recirculating system water, on a 14:10 h light:dark cycle. All procedures using animals were approved by the University of Idaho Institutional Animal Care and Use Committee.
Retinal Lesioning
Retinas of adult fish were chemically lesioned as previously described (Fimbel et al., ; Nagashima et al., 2013; Sherpa et al., 2014; McGinn et al., ; Mitchell et al., , 2019). Briefly, corneas of anesthetized fish were perforated with a sapphire blade to introduce a Hamilton syringe containing 40–70 μM ouabain (inhibitor of the Na+/K+ ATPase) in sterile saline. The injected volume (~0.5 μL) resulted in an estimated intraocular concentration of 2 μM. Uninjected contralateral eyes were used as controls. This lesioning strategy has been demonstrated to result in death of inner retinal neurons, but spares photoreceptors, Müller glia, and microglia (Fimbel et al., ; Sherpa et al., 2014; Mitchell et al., ). Müller glia respond to this damage by re-entering the cell cycle and generating progenitors that in turn proliferate and generate the neuronal cell types lost to the lesion (Fimbel et al., ; Nagashima et al., 2013), ultimately restoring function (Sherpa et al., 2014; McGinn et al., ). The loss of BPs, survival of cones, and regeneration of BPs was monitored by observation of retinas of live, anesthetized fish using a Nikon SMZ 1500 epifluorescence stereomicroscope.
Comparative Cell Birthdating During Retinal Regeneration
Sequential systemic exposure to bromodeoxyuridine (BrdU) and ethynyldeoxyuridine (EdU) was carried out according to Nagashima et al. (2013). For these experiments, wild-type zebrafish (n = 3 per condition) were transferred to 250 mL beakers containing 1.0 mM BrdU, and after a defined exposure period, were transferred to 125 μM EdU. The exposure protocols used in this study were: 4–6 DPI BrdU followed by 6–8 DPI EdU, and 6–9 DPI BrdU followed by 9–13 DPI EdU. Solutions were refreshed once daily during these exposures, and fish were fed after each refreshing.
Tissue Processing and Immunofluorescence
Procedures were similar to those of McGinn et al. (). Briefly, dark-adapted fish were humanely sacrificed with MS-222, and eyes enucleated with forceps. For retinal cryosections, eyes were fixed with 4% paraformaldehyde containing 5% sucrose in phosphate buffer (pH = 7.4) for 1 h. Eyes were cryoprotected, embedded, and frozen in a 1:2 combination of Tissue-Tek OCT (Sakura Finetek):phosphate-buffered 20% sucrose, and then cryosectioned at 5 μm on a Leica CM3050 cryostat. For whole retinal flat mounts, corneas were perforated with dissecting scissors to gain access for removal of the lens. The sclera and RPE were removed with forceps and the freed retinas were rinsed in cold phosphate-buffered (pH = 7.4) saline (PBS) or HEPES. Four radial incisions helped to flatten each retina, and they were then fixed in phosphate-buffered 4% paraformaldehyde containing 5% sucrose for 1 h. Retinas were then washed three times in PBS for 30 min each.
For immunofluorescence detection of antigens, 5 μm sectioned retinas were rinsed with PBS with 0.5% triton (PBST) and then blocked for 1 h with 20% normal goat serum and 0.1% sodium azide, diluted in PBST, at room temperature. Primary antibodies were diluted in antibody dilution buffer (PBST, 1% normal goat serum, and 0.1% sodium azide), and applied to sections, which were then incubated overnight at 4°C. Sections were washed with PBS three times, for 20 min each, incubated with secondary antibodies diluted in antibody dilution buffer (PBST with 1% normal goat serum and 0.1% sodium azide) and 4.25 μM DAPI overnight at 4°C, washed with PBST for 30 min and mounted in Vectashield (Vector Laboratories) or Fluoromount-G (SouthernBiotech). For detection of BrdU and EdU, an antigen retrieval step was incorporated (1:1 solution of 4N HCl:PBST) prior to the blocking step. Whole retinas were stained with primary antibodies in antibody dilution buffer for 1–2 weeks at 4°C with constant gentle agitation, washed with PBS three times (20 min each), and then incubated with secondary antibodies diluted in antibody dilution buffer and 4.28 μM DAPI at 4°C for another week. After staining, retinas were washed with PBS three times for 20 min each.
Primary antibodies that were used in this study, and their sources and dilution are as follows. ZPR1 is a mouse monoclonal that labels cone arrestin3a, staining both the red- and green-wavelength sensitive members of the double cone pair (Renninger et al., 2011) (ZIRC; 1:200). Anti-protein kinase Cα (PKCα) is a rabbit polyclonal antibody originally produced to target the C-terminus of human PKCα, and labels a subpopulation of BP neurons (Suzuki and Kaneko, 1990) (Santa Cruz Biotechnology; SC-10800 1:200). Anti-HuC/D is a rabbit polyclonal antibody that stains inner retinal neurons, primarily ganglion cells and amacrine cells (abcam, Eugene, OR; 1:100). Anti-BrdU is a mouse monoclonal antibody (Invitrogen, Carlsbad, CA; 1:200). EdU was detected using the “Click-It” reaction kit (Invitrogen). Secondary antibodies (Jackson ImmunoResearch, West Grove, PA, all 1:200) used in this study were donkey anti-mouse AlexaFluor 647, donkey anti-rabbit Cy3, donkey anti-rabbit TRITC, and donkey anti-rabbit FITC.
Imaging and Quantification of Neurons in Cryosections
Sections were imaged using an Andor Zyla 5.5 sCMOS camera connected to a Nikon Ti inverted microscope with a Yokogawa spinning disk using a 20x 0.75NA air objective, a 40x 1.3NA oil immersion, a 60x 1.40NA oil, or a 100x 1.45NA oil immersion objective. BP neurons were counted in PKCα-stained retinal cryosections of nyx::mYFP fish (n=3 per condition, with 9 contralateral controls), by identifying PKCα+, DAPI+ cell bodies, nyx::mYFP+, and DAPI+ cell bodies, within 5 μm-thick radial sections imaged at 20x. To quantify BPs in cryosections, only cell bodies showing both DAPI and a BP-specific marker were counted. To quantify inner retinal neurons following cell birthdating by BRDU/EdU immersion (described above), BP neurons (PKCα+) and HuC/D+ neurons were counted in retinal cryosections following staining for PKCα, BrdU, and EdU, or for HuC/D, BrdU, and EdU. BPs and HuC/D+ neurons that incorporated BrdU or EdU were counted by identifying cell-specific marker+, nucleotide+ cell bodies. For both analyses, sections were sampled over the regions between the larval remnant (Allison et al., ) and the extreme periphery. We counted every 5th section to avoid double-counting. We note that, if the nuclei of newly regenerated BPs were smaller than those of control BPs, this counting method may under-sample neurons in the regenerated retinas (Coggeshall and Lekan, ). However, to our knowledge (and see Figure 1), nuclei of regenerated retinal neurons do not appear substantially different in size in comparison with those of their control counterparts.
Figure 1
Imaging and Morphometric Analyses of Bipolar Neurons in Whole Retinas
Whole retinas were mounted in Fluoromount-G or Vectashield Hardset, with the GCL facing the coverslip, and using electrical tape as a spacer between the slide and coverslip. Retinas were imaged with the Andor/Nikon system described above using a 60x 1.2NA water immersion objective, with Immersol W 2010 (Zeiss). Images were collected from multiple locations throughout the retina when possible, but for some retinas only a very few nyx::mYFP+ neurons were found. Multiple image stacks were collected using 0.3 μm z-steps through the entire thickness of the retina. As in McGinn et al. (
Image stacks were analyzed in Fiji software (ver 1.51d) (Fiji, RRID:SCR_002285) (Schindelin et al., 2012). Selected, nyx::mYFP+ cells were traced with the Simple Neurite Tracer (SNT) plugin (Longair et al.,
Traced neurons were filled using the fill option in SNT. Because SNT was not designed to show larger 3D objects such as a cell body, only portions of cell bodies were traced and filled, while the axons and terminals, and dendritic trees were traced and filled in their entirety. The axon, soma, and dendrite of each BP were each converted in an image stack and imported into ImageJ's 3D viewer as surfaces. Each neuron was saved as a separate file in the OBJ format. OBJ files were imported into 3ds Max 2016, placed together by their respective time point and then rendered. Numbers of neurons subjected to surface rendering are provided in Supplementary Table 1.
Sholl analysis was performed on traced BPs to determine the characteristics of individual dendritic trees and axonal branching patterns. For BP dendrites, Sholl analysis was done for traced neurons that displayed a clear, apically-projecting primary dendrite, showed branching, and had dendritic spreads sufficient for the analysis to return meaningful values (e.g., dendrites with only one very small branch would be excluded). For BP axons, Sholl analysis was done for traced neurons that displayed a clear, basally-projecting axon that reached the IPL, showed branching within the IPL, and could be traced for its entirety. The Sholl Fiji plugin utilized several different variants of the original Sholl Analysis (Sholl, 1953) in order to test for differences in neuronal architecture as the retina regenerates. A series of concentric shells (spheres in this case) were created around a centerpoint. For dendrites used in this study the point at which the primary dendrite branches was considered the center. For axons the point where the primary axon had the largest number of branches was considered the centerpoint. The software then counted how many branches crossed or intersected at each particular enclosing shell. Numbers of neurons subjected to Sholl analysis of dendritic trees and axonal arbors are provided in Supplementary Table 1.
Cone-nyx::mYFP+ BP contacts were identified using the strategy described by McGinn et al. (
Each BP was visually assessed for meeting the following set of criteria defining a “stereotypical appearance” of a BP: Cell body within the INL, having a single apical process with multiple branches within the OPL, and having a single basal process with terminals in the IPL, and in general resembling one of the type specimens identified by Li et al. (
Some selected neurons were traced using Filament Tracer, in Imaris version 8.2.0 (Bitplane), an alternative tracing strategy that allows visualization of traced neurons with a background grid and from multiple views. Neurons selected for this analysis were those that were physically isolated from other nyx::mYFP+ neurons and had morphologies that could not be as easily appreciated using the viewpoints available following use of SNT. Multiple views were collected in 3D View in order to demonstrate how the neurons were positioned within the retinal region represented by the confocal stack. Images showing the top and side views were collected in the Slice View in order to show partially projected top down and side views of neurons. In order to visualize the traced neurons in this module, a new color channel was created by selecting the “create channel from filament” option from the traced axon, and pseudocolored red. Another color channel was created for the traced dendritic tree and pseudocolored green.
Statistics
Numbers of PKCα+ and nyx::mYFP+ cells/100 μm of retinal section were compared across samples, including the data from 3 DPI samples reported in McGinn et al. (
Results
Emergence of Regenerated BPs Following Ouabain Lesion
We previously documented strikingly normal morphologies of regenerated BPs in retinas sampled at 60 days after a ouabain-mediated lesion of inner retinal neurons (McGinn et al.,
We first documented the recovery of nyx::mYFP+ BPs [a population including ON BPs and mixed ON/OFF BPs (Schroeter et al., 2006; McGinn et al.,
Relative Birthdating of Regenerated BPs and Other Retinal Neurons
The quantification of regenerated BPs in cryosections, together with our previous studies showing that some regenerated BPs were labeled by BrdU exposures at either 4–7 or 6–12 DPI (McGinn et al.,
Figure 2

Comparative birthdating of regenerated PKCα+ bipolar (BP) neurons and HuC/D+ amacrine and ganglion cells following a chemical lesion selective to the inner retina. (A) Timeline and experimental design; DPI, days post-injury. (B) Some regenerated PKCα+ (green) BPs incorporated BrdU (magenta) (6–9 DPI). Higher magnification insets of boxed region show PKCα and DAPI, PKCα, and BrdU, and all channels merged. Arrows indicate BrdU+ PKCα+ BP cell. (C) Some regenerated PKCα+ BPs incorporated EdU (red) (9–13 DPI). Higher magnification insets corresponding to boxed region show PKCα and DAPI, PKCα and EdU, and all channels merged. Arrow indicates EdU+ PKCα+ BP cell. (D) Percentage of PKCα+ cells that incorporate BrdU and EdU at the indicated timeframes (means ± s.d.; n = 3). (E) Some regenerated HuC/D+ (green) neurons incorporated BrdU (magenta) (6–9 DPI). Higher magnification insets corresponding to boxed region show HuC/D and DAPI, HuC/D and BrdU, and all channels merged. Arrow indicates BrdU+ HuC/D+ cell. (F) Some regenerated HuC/D+ BPs incorporated EdU (red) (9–13 DPI). Higher magnification insets corresponding to boxed region show HuC/D and DAPI, HuC/D and EdU, and all channels merged. Arrow indicates EdU+ HuC/D+ cell. (G) Percentage of HuC/D+ neurons that incorporate BrdU and EdU at the indicated timeframes (means ± s.d.) are similar to the percentages of PKCα+ BPs that incorporated these labels. Scale bar in B (applies to B,C,E,F) = 50 μm. Scale bar in insets (applies to all insets) = 10 μm.
We next compared the PKCα BP birthdating results with those for regenerated retinal neurons that are HuC/D+. These neurons correspond to retinal ganglion cells and amacrine cells (Kay et al.,
Morphologies of Newly Regenerated nyx::mYFP BPs: Qualitative Findings
The sparse cellular densities of the regenerated nyx::mYFP+ BP neurons made them amenable to detailed morphometric analyses, because many were physically isolated from any surrounding nyx::mYFP+ BPs, allowing complete tracing of individual cell dendritic trees, somas, and axonal processes after imaging. Such analyses were not possible for the PKCα+ BPs, most notably within undamaged retinas, where PKCα+ BPs are very densely distributed (Figure 1I), and because the PKCα antibody did not adequately penetrate whole mounted retina tissue. Several differentiating nyx::mYFP+ BPs identified in whole retinas sampled at 13, 17, and 21 DPI were therefore imaged and traced (Supplementary Table 1), visualized as resliced Z-projections (Figure 3), and also visualized following surface rendering (Figure 4). For purposes of comparison, a series of control, nyx::mYFP+ BPs sampled from undamaged, control retinas, is also shown in each Figure (Figures 3, 4); some of these control neurons were also shown in McGinn et al. (
Figure 3

Galleries of traced nyx::mYFP+ retinal bipolar (BP) neurons. Neurons were traced in Simple Neurite Tracer (SNT), dendrites (green), cell bodies (white), axons (red) were pseudocolored, and then merged with images of the DAPI-stained (blue) nuclei to visualize retinal layers; merged images were then resliced to show the orthogonal views, with preservation of alignment of the traced cells and DAPI stained nuclei. For some BPs the cell body was not traced or only minimally traced due to limitations of SNT. Top row: BPs sampled from control retinas included some that were also shown in McGinn et al. (
Figure 4

Galleries of surface rendered nyx::mYFP+ retinal bipolar (BP) neurons. Neurons were traced in Simple Neurite Tracer (SNT), colorized, filled, created into three-dimensional surface models, imported into 3ds Max 2016, and then entered into a single image to display overall similarities and differences of BPs. For some BPs the cell body was not traced or only minimally traced due to limitations of SNT. Each timepoint shows the rendered neurons in the x-z radial “side” views (top row) and the x-y tangential “top-down” views (bottom row) relative to the imaging plane. BPs shown from control retinas included some that were also shown in McGinn et al. (
In several cases, the morphologies of newly regenerated BPs in 13 DPI and 17 DPI retinas were highly atypical (arrows in Figures 3, 5; Supplementary Table 2; Supplementary Figure 2). For example, one BP displayed a single major neurite that then branched into both apical and basal projections, sometimes with extensive branching (Figures 5A,A'), while others (three of 15 BPs at 13 DPI and two of 13 BPs at 17 DPI) displayed numerous neurites projecting from the cell body (Figures 5B,B',C,C'; Supplementary Table 2). Some of the BPs displayed neurites that were intertwined and seemingly lacked polarity with respect to the surrounding retinal tissue (Figures 5B,B'; Supplementary Table 2). Two of 15 BPs at 13 DPI and two of 13 BPs at 17 DPI showed highly truncated dendritic trees, visible only as short primary dendrites (Figures 5D,D'; Supplementary Table 2; Supplementary Figure 2C). Furthermore, some of the BPs displayed dendrites having secondary branches, even though the primary dendrite did not reach the OPL (one of 15 at 13 DPI and two of 13 at 17 DPI; Figure 5B; Supplementary Figure 2B). This type of feature has not been reported in regenerated retinas at 60 DPI (McGinn et al.,
Figure 5

Selected retinal bipolar (BP) neurons that demonstrate the unusual range of morphologies observed at 13 and 17 days post-injury (DPI). Neurons were traced in Simple Neurite Tracer and then rendered in ImageJ's 3D viewer. (A,A') Neuron showing an apparently displaced soma and multiple neurites, shown from two different orientations (A = radial “side” view, A' = tangential “top-down” view). The cell body was only minimally traced due to limitations of SNT. (B,B') Neuron that has two distinct apparent dendritic trees connected to the same cell body. (C,C',D,D') Neurons with apparently simple morphologies sampled at 13 DPI and 17 DPI, respectively, each shown from two different orientations. In contrast to A and B, these BPs have a bipolar shape, but have smaller dendritic trees with fewer branches than most other neurons sampled at 13 and 17 DPI. The neuron in (C,C') appears to have more than one basal outgrowth (possibly multiple axons), all of them truncated, while the neuron in D has an axon with a normal appearance, but a single apical process rather than a dendritic tree. The cell body in (D,D') was only minimally traced due to limitations of SNT. Arrows designate investigator assignment of primary dendrites (green). Axons, red; incompletely traced cell bodies, grayscale. Scale bar(s) in all panels = 10 μm.
Morphometric Analyses of Dendritic Trees of Newly Regenerated nyx::mYFP BPs
Dendritic Spread
Dendritic spreads of several (Supplementary Table 1) traced, regenerated nyx::YFP+ BPs were measured using an ellipse or polygonal method (see Methods). Interestingly, the dendritic spreads of regenerated BPs at 13 DPI were not different than those of control BPs (p = 0.216, measured by a convex polygon; p = 0.072, measured by an ellipse) (Figure 6). However, the dendritic spreads of BPs in the 17 DPI and 21 DPI retinas were smaller than those in control retinas (p = 0.002 and p = 0.038, complex polygon; p = 0.004 and p = 0.016, ellipse) (Wilcoxon–Mann–Whitney) (Figure 6).
Figure 6

Dendritic spreads measured using the convex polygon method (A) and the ellipse method (B), of regenerated nyx::mYFP+ bipolar (BP) neurons, are reduced at 17 and 21 days post-injury (DPI) compared to controls. Column graphs show the mean of each group, open circles represent each individual, measured dendritic tree, and the error bars show the SEM. *p < 0.05, **p < 0.01 using Wilcoxon–Mann–Whitney tests. Control measurements are those shown in McGinn et al. (
Dendritic Tree Characteristics
Using the Sholl Analysis plugin in ImageJ, the extent of dendritic branching was calculated separately for several individual neurons (see Methods; Supplementary Table 1). A “mean of intersections” was returned by the plugin, a measure which is calculated by dividing the sum of the number of dendrite crossings of each concentric sphere by the number of concentric spheres (Ferreira et al.,
Figure 7

Characteristics of nyx::mYFP+ bipolar (BP) neuron dendritic trees. (A–C) Outputs of Sholl analysis. (A) Average number of intersections is reduced at 13 days post-injury (DPI) but not at 17 and 21 DPI in comparison with controls. B. Sholl critical values are reduced at 13 and 17 DPI but not at 21 DPI in comparison with controls. C. Sholl regression coefficients are not significantly different across samples. (D) Numbers of dendritic tips (presumed photoreceptor connections) are not significantly different across samples. Bar graphs show the mean of each group, open circles represent each individual dendritic tree, and the error bars show the SEM. *p < 0.05, **p < 0.01 using Wilcoxon–Mann–Whitney tests. Control measurements are those shown in McGinn et al. (
As a further measure of overall dendritic morphology, the Sholl regression coefficient was calculated, using the semi-log method; the regression coefficient can be used to determine if neurons fall into the same broad morphological category (Ristanovic et al., 2006). A one-way ANOVA across all sampling times revealed no significant differences (p = 0.444) (Figure 7C), indicating that the dendritic trees of newly regenerated BPs were not sufficiently distinct from those of control BPs as to constitute a separate morphological neuronal type.
Analyses of Dendritic Tips and Cone Contacts of Newly Regenerated nyx::mYFP BPs
Dendritic Tips
Endpoints (dendritic tips, which project apically toward their presynaptic photoreceptor partners) of nyx::mYFP BPs were counted in regenerated retinas at 13, 17, and 21 DPI and compared to controls (McGinn et al.,
Cone Contacts
Traced, nyx::mYFP BP dendritic tips were evaluated for the presence of presumptive synaptic connections with cone photoreceptors. To this end, we simultaneously visualized mCherry+ synaptic terminals of blue-sensitive cones, and ZPR1-antibody labeled synaptic terminals of double cones (a.k.a. red- and green-sensitive cones) (Figures 8A–E; Supplementary Table 3) in whole nyx::YFP transgenic retinas. For this analysis we again excluded BPs that did not reach the OPL with their apical dendrites. The patterns of connections, measured as the proportion of endpoints contacting blue cones vs. double cones vs. unassigned endpoints (which could represent UV cones, rods, or unconnected tips), were quantified (Figure 8F; Supplementary Table 3). In our previous study, ZPR1+ cone pedicles could readily be identified as belonging to green-sensitive or red-sensitive cones based upon their location with respect to surrounding cone terminals of the organized mosaic (McGinn et al.,
Figure 8

Reestablishment of nyx::mYFP+ bipolar (BP) neuron dendritic connections with cone photoreceptor terminals. (A–E) Dendritic fields showing traced nyx::mYFP+ BPs (green) overlayed onto partial projections of blue-sensitive (red color) cone terminals and ZPR1+ (magenta color) red- and green-sensitive double cone terminals, from control (A), 13 days post-injury (DPI) (B), 17 DPI (C), 21 DPI (D), and 60 DPI (E) retinas. Control and 60 DPI images also appear in McGinn et al. (
Although the above analysis suggests that relatively normal connectivity may be restored at 13 and 17 DPI, it is again important to note that not all bipolar cells reconnected with visualized photoreceptors at these sampling times. Neurons with 1 or 0 projections reaching the OPL were excluded from the connectivity analysis due to the ambiguity of such connections.
Axon Morphologies of Newly Regenerated BPs
We previously analyzed BP axons in regenerated retinas (at 60 DPI) through identification of stratification patterns and Sholl analysis of complexity of axon terminals (McGinn et al.,
Because we were unable to completely trace many of the axons of newly regenerated BPs, we were not able to unambiguously measure axonal length as a potential metric of our qualitative observations. As an alternative, but distinctive analysis of axon characteristics, we performed Sholl analysis of axonal branching patterns for some of the BPs sampled from 13, 17, and 21 DPI retinas (Supplementary Table 1). The average number of intersections returned from Sholl analysis of axon branching indicated no significant differences among samples (p = 0.8) (Figure 9A). Similarly, the Sholl critical value reached control levels for regenerating BPs sampled at all regenerating time points (p = 0.981) (Figure 9B).The Sholl regression coefficient also showed no significant differences among samples (p = 0.12) (Figure 9C). These measureable axons therefore displayed axon branching characteristics similar to those of mature BPs.
Figure 9

Characteristics of nyx::mYFP+ bipolar (BP) neuron axonal arbors, using outputs of Sholl analysis. Average number of intersections (A), Sholl critical values (B), and Sholl regression coefficients (C) are not significantly different across samples. Column graphs show the mean of each group, open circles represent each individual dendritic tree, and the error bars show the SEM. Wilcoxon-Mann-Whitney tests did not reveal any significant differences for any of these measures. Controls are those shown in McGinn et al. (
Discussion
Emergence of Regenerated BP Neurons
In this study, we report the neuronal morphologies and cone photoreceptor connectivities of regenerated BPs in adult zebrafish retinas from 13 to 21 days after a ouabain-induced lesion destroying only inner retinal neurons. After such a lesion (Nagashima et al., 2013; Sherpa et al., 2014; McGinn et al.,
General Attributes of Newly Regenerated BP Neurons
The morphologies of nyx::mYFP+ BPs sampled at 13, 17, and 21 DPI were in some cases highly unusual, with abnormal positions and sizes of apically and basally-projecting neurites, and/or laterally projecting axons, and/or no cone contacts. This is in contrast to BPs analyzed in our previous study of nyx::mYFP+ BPs, which were sampled at 60 DPI, in which the majority of sampled BPs showed morphologies indistinguishable from controls (McGinn et al.,
Dendritic Attributes of Newly Regenerated BP Neurons
When measureable, BP dendritic tree sizes appeared to fluctuate over the 13–21 DPI timeframe. It is possible that this timeframe (and perhaps beyond) represents a time of modification of dendritic processes. Interestingly, dendritic tree attributes of the newly regenerated BPs also showed some statistically significant differences in comparison with controls, but dendrite attributes from BPs sampled at 21 DPI showed the most normal morphologies. For example, Sholl critical values of the 13 DPI and 17 DPI, but not of the 21 DPI, BP dendritic trees, were different from the controls. This suggests that dendritic branches are present at 13 DPI but may continue to be modified until 21 DPI, when they approach a more stable state. Similarly, the mean number of intersections was reduced for BP dendrites at 13 DPI, but not for those sampled at 17 DPI or 21 DPI. These results suggest that regenerating nyx::mYFP BPs sampled at 13 DPI have dendritic trees with fewer branches, shorter branches, or a combination of both, as compared with other sampling conditions. In general, the outputs of Sholl analysis indicate that the dendritic trees of sampled, regenerated BPs may undergo morphological changes consistent with maturation over the 13–21 DPI sampling time. It is interesting that this possible maturation process appears distinct from that of BP dendritic trees in developing retina. For example in mouse, BP dendritic field sizes are initially overextended and overlapping with each other, and then retract due to homotypic interactions with neighboring BPs (Lee et al.,
Not all BPs showed visible connections to photoreceptors at 13 and 17 DPI. However, those that did, showed cone connectivities similar to those of control BPs. In addition, the numbers of presumed cone contacts (dendritic tips) were statistically similar across all timepoints. Together with the shifting dendritic field sizes and complexities discussed above, we hypothesize that regenerating BPs may make their connections to photoreceptors before their dendritic trees are mature, an event that could be likely in contexts where pre-synaptic photoreceptors are present during BP regeneration. In comparison, following cell-selective ablation of distinct subpopulations of BPs in larval retina, regenerated BPs display overall normal morphologies, but have larger dendritic trees and some errors in cone contacts (D'Orazi et al.,
An alternative interpretation for the observed differences in BP dendritic tree morphologies at 13 vs. 17 vs. 21 DPI, is that some of the regenerated BPs may undergo apoptosis or are cleared from the retina (or are less likely to be sampled), while new BPs continue to be generated and assume normal morphologies and connectivities. BP cell death alone as the explanation for the apparent loss of abnormal BPs between 17 and 21 DPI is somewhat unlikely for several reasons. Numbers of TUNEL+ cells in retinas over this timeframe are minimal compared to the initial (1–3 DPI) period of apoptosis due to ouabain damage (Fimbel et al.,
Axonal Attributes of Newly Regenerated BP Neurons
Among the more noteworthy abnormalities observed in the newly regenerated BPs were the unusual trajectories of some axons. In many cases axons traversed such long distances and/or entered an inappropriate layer, making complete documentation of their trajectories difficult or impossible. At the other extreme, some of the regenerated BPs displayed what appeared to be more than one basally-projecting neurite, or no basally-projecting neurite at all. These abnormalities were more frequently observed in the BPs sampled at 13 and 17 DPI in comparison with those at 21 DPI (Supplementary Table 2), and so may again represent immature states of the regenerated BPs prior to pruning/retraction or growth. Also noteworthy is that the newly regenerated BPs that could be sampled for Sholl analysis demonstrated axonal branching characteristics not significantly different from those of control BPs. One interpretation of these more normal BP axons is that they may represent those of the earliest-generated and therefore potentially more mature BPs. Such an interpretation is consistent with the findings for BP axon development in zebrafish larvae, in which active extension and retraction of axon filopodia takes place prior to the establishment of axon terminals in their appropriate sublaminae (Schroeter et al., 2006). Alternatively, the more normal axons may reside within an environment in which at least some of their postsynaptic partners have been more extensively regenerated, while the abnormal BP axons reside in regions with (or are regenerated at timepoints that display) a paucity of postsynaptic targets and plexiform structure, and lack the pathfinding cues that would guide them to the correct retinal location and synaptic partners. In support of this alternative, the absence of retinal ganglion cells and disruption of amacrine cell stratification during zebrafish larval development results in mis-targeting of BP axons (Kay et al.,
Conclusions
Following a lesion that destroys BPs and their postsynaptic partners, but spares their presynaptic partners, newly regenerated BPs are generated over a protracted timeframe and reappear from 13 to 21 DPI. Newly regenerated BPs display morphological characteristics consistent either with dynamic modifications of their dendritic and axonal arbors, or with heterogeneity in regenerated BPs dependent upon the time of regeneration, or some combination of these interpretations. In any case, generation and morphological differentiation of regenerated BPs is not a simple recapitulation of these processes during embryonic development, but distinctive to regeneration. Further, our data indicate that regeneration remains a dynamic process, as opposed to a single burst of genesis to replace lost neurons. Since photoreceptors are spared from this lesion, the presence and appropriate locations of photoreceptor synaptic terminals in regenerating retinas may provide long- or short-range cues to attract and pair with regenerated BP dendrites. The photoreceptors that survive this lesion have the capacity to support the a-wave of the electroretinogram (ERG) (McGinn et al.,
Despite the presence of many morphologically abnormal regenerated BPs, the regenerated BPs that display dendritic trees and axons amenable to tracing and further analysis show characteristics that are quite similar to those of mature, undamaged BPs. Collectively our results suggest that the intrinsic mechanisms underlying the reestablishment of retinal circuitry during regeneration are robust, even in the context of a tissue-disrupting lesion. Further, the 13–21 DPI period following an inner retina-selective lesion appears to be an active time of both BP neurogenesis and the reestablishment of retinal circuitry. Among the next steps in the study of regeneration of retinal neurons and their connections will be to identify the cellular signaling and other processes that support functional rewiring (Angueyra and Kindt,
Statements
Ethics statement
This study was carried out in accordance with the recommendations of the Guide for the Care and Use of Laboratory Animals. The protocol was approved by the Animal Care and Use Committee of the University of Idaho.
Author contributions
TM and DS conceived of the study. TM, DM, and DS planned the experiments. TM, CG, and DM carried out the experiments and analyzed data. DL and NP contributed to data analysis. TM, DM and DS wrote the manuscript with approval of all authors.
Funding
This work was supported by the National Institutes of Health (NIH R21 EY026814 to DS; Undergraduate Research Fellowship to NP through Idaho Institutional Development Award Network of Biomedical Research Excellence NIH P20 GM104308).
Acknowledgments
We thank Dr. P. Raymond for the sws2:mCherry fish, and Dr. R. Wong for the nyx::mYFP fish. We are grateful to Ruth Frey and Jared Lambert of the Stenkamp laboratory, Anna Lovel of the Mitchell lab (for zebrafish husbandry), Ann Norton of the University of Idaho's IBEST Optical Imaging Core for technical assistance, and Dr. C. Jenkins for assistance with statistics. Antibody ZPR1 came from the Zebrafish International Resource Center. The Nikon/Andor spinning disk confocal was purchased with funds from NIH S10 OD018044 and The Murdock Charitable Trust.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2019.00095/full#supplementary-material
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Summary
Keywords
retina, regeneration, zebrafish, circuitry, connectome, photoreceptor, retinal bipolar cell, birthdating
Citation
McGinn TE, Galicia CA, Leoni DC, Partington N, Mitchell DM and Stenkamp DL (2019) Rewiring the Regenerated Zebrafish Retina: Reemergence of Bipolar Neurons and Cone-Bipolar Circuitry Following an Inner Retinal Lesion. Front. Cell Dev. Biol. 7:95. doi: 10.3389/fcell.2019.00095
Received
05 December 2018
Accepted
17 May 2019
Published
06 June 2019
Volume
7 - 2019
Edited by
Ruth Diez Del Corral, Champalimaud Foundation, Portugal
Reviewed by
Mrinalini Hoon, University of Wisconsin-Madison, United States; Benjamin E. Reese, University of California, Santa Barbara, United States
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© 2019 McGinn, Galicia, Leoni, Partington, Mitchell and Stenkamp.
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*Correspondence: Deborah L. Stenkamp dstenkam@uidaho.edu
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