Abstract
In the retina, the receptive fields (RFs) of almost all ganglion cells (GCs) are comprised of an excitatory center and a suppressive surround. The RF center arises from local excitatory bipolar cell (BC) inputs and the surround from lateral inhibitory inputs. Selective antagonists have been used to define the roles of GABAA and GABAC receptor-mediated input in RF organization. In contrast, the role of glycine receptor (GlyR) subunit-specific inhibition is less clear because the only antagonist, strychnine, blocks all GlyR subunit combinations. We used mice lacking the GlyRα2 (Glra2−/−) and GlyRα3 (Glra3−/−) subunits, or both (Glra2/3−/−), to explore their roles in GC RF organization. By comparing spontaneous and visually evoked responses of WT with Glra2−/−, Glra3−/− and Glra2/3−/− ON- and OFF-center GCs, we found that both GlyRα2 and GlyRα3 modulate local RF interactions. In the On pathway, both receptors enhance the excitatory center response; however, the underlying inhibitory mechanisms differ. GlyRα2 participates in crossover inhibition, whereas GlyRα3 mediates serial inhibition. In the Off pathway, GlyRα2 plays a similar role, again using crossover inhibition and enhancing excitatory responses within the RF center. Comparisons of single and double KOs indicate that GlyRα2 and GlyRα3 inhibition are independent and additive, consistent with the finding that they use different inhibitory circuitry. These findings are the first to define GlyR subunit-specific control of visual function and GlyRα2 subunit-specific control of crossover inhibition in the retina.
Introduction
The spatiotemporal interplay of excitatory and inhibitory inputs underlies both the receptive field (RF) organization and the sustained/transient nature of retinal ganglion cell (GC) responses. Together they provide the basis for their ability to extract information from the visual scene. Both GABA and glycine inhibition are used to modulate different aspects of GC responses and RF organization (Caldwell and Daw, 1978; Flores-Herr et al., 2001; O'Brien et al., 2003; Chen et al., 2010, 2011). Ionotropic GABA receptors (GABARs) and glycine receptors (GlyRs) are agonist-gated chloride channels that provide the majority of this modulation. Both GABARs and GlyRs are composed of subunit combinations that create inputs with diverse kinetics, agonist affinities, and desensitization characteristics (Bormann, 2000; Webb and Lynch, 2007). The availability of selective antagonists have defined the roles of GABAAR- and GABACR-mediated inhibition within the retinal circuit (for review, see Eggers and Lukasiewicz, 2011). GABARs are the receptor targets of amacrine cells (ACs), whose broad lateral processes ramify within one of the two sublamina (On or Off) of the inner plexiform layer (IPL) (MacNeil et al., 1999). GABAergic ACs target GABAARs and GABACRs in reciprocal inhibitory circuits to modulate RF center excitation (Eggers et al., 2007; Grimes et al., 2010). Similarly, they target GABAARs to modulate serial inhibition (Eggers and Lukasiewicz, 2010), to amplify and refine the RF surround (Cook and McReynolds, 1998; Roska et al., 2000; O'Brien et al., 2003).
GlyRs are the targets of glycinergic ACs whose narrow lateral processes ramify across the On and Off IPL sublaminae (MacNeil and Masland, 1998; Menger et al., 1998). GlyR inputs use crossover or feedforward inhibition to modulate GC RF center excitation (Wässle et al., 1986; Stone and Pinto, 1992; MacNeil and Masland, 1998; O'Brien et al., 2003; Chen et al., 2010; Russell and Werblin, 2010). The chloride channels formed by synaptic GlyRs are heteromeric and contain two α and three β subunits (Grudzinska et al., 2005). GlyRs containing different α subunit isoforms (α1, α2, α3, or α4) display distinct IPL and neuronal subtype localization. Specifically, GlyRα1 is the predominant and perhaps only α subunit expressed by Off cone and rod bipolar cells (BCs) (Sassoè-Pognetto et al., 1994; Enz and Bormann, 1995; Cui et al., 2003; Ivanova et al., 2006). Although GlyRα1 modulates a significant inhibitory input to A-type murine GCs, GlyRα2, GlyRα3, and GlyRα4 also contribute to sIPSCs in these cells (Majumdar et al., 2007). Given the differences in localization, as well as current decay properties (for review, see Wässle et al., 2009) it is likely that GlyR subunits like GABAAR and GABACRs participate in specific inhibitory mechanisms and circuits that control retinal function. Also like GABAARs, a lack of subunit-specific antagonists has prevented the definition of individual GlyR subunit-specific control of visual function.
Using a molecular genetic approach and GlyRα2 and α3 subunit knock-out (KO) mice, we defined subunit-specific inhibition in GC RF center responses. Our results define for the first time that (1) GlyRα2 and GlyRα3 inhibition enhance GC RF excitatory center responses, (2) GlyRα2 modulates crossover inhibition in both the On and Off pathways, and (3) GlyRα2 crossover and GlyRα3 serial inhibition are additive and independent in the On pathway.
Materials and Methods
Animals.
We used male and female C57BL/6J wild-type (WT) mice (Jackson Laboratory) and two KO mouse lines that lacked GlyRα2 (Glra2−/−) (Young-Pearse et al., 2006) or GlyRα3 (Glra3−/−) (Harvey et al., 2004) subunit expression. The Glra2/3−/− double KO mice were generated by crossing and backcrossing the single KO lines. Genotypes were verified by PCR using primers and cycling conditions published previously (Harvey et al., 2004; Young-Pearse et al., 2006). All mice were maintained at the University of Louisville on a 12 h light/dark schedule. All experimental procedures were conducted in accordance with regulations described for the ethical care and treatment of animals in the Society for Neuroscience Policies on the Use of Animals in Neuroscience Research and in compliance with a protocol approved by the University of Louisville Institutional Animal Care and Use Committee.
Surgical preparation for electrophysiology recordings from optic nerve fibers.
All surgical procedures were performed at light-adapted levels and have been published previously (Sagdullaev and McCall, 2005). Briefly, anesthesia was induced with an intraperitoneal injection of a Ringer's solution containing ketamine and xylazine. In WT mice, the induction dose was 127:12 mg/kg. In Glra2−/− and Glra2/3−/− mice, an increase of 12.5% was required to induce a surgical plane of anesthesia. Anesthesia was maintained throughout the experiments with supplemental subcutaneous injections (50% of initial concentration) administered every 45 min. The head was secured in a stereotaxic frame (David Kopf Instruments) with ear cups and a bite bar. Body temperature was maintained at 37°C with a feedback-controlled heating pad (TC-1000; CWE). Topical Mydfrin (phenylephrine hydrochloride ophthalmic solution, 2.5%) and Mydriacyl (tropicamide ophthalmic solution, 1%; Alcon Labs) were applied to dilate the pupils and paralyze accommodation. To prevent drying of the corneas, clear zero-powered lenses (Sagdullaev et al., 2004) moistened with artificial tears (Akwa Tears; Akorn) were placed over the eyes. A craniotomy was performed anterior to the Bregma suture and the overlying cortex was removed using suction to expose the optic nerve.
In vivo electrophysiology recordings from optic nerve fibers.
Action potentials were recorded extracellularly from single optic nerve axons using sharpened tungsten electrodes (A-M Systems) with a final impedance between 30–100 MΩ. A reference electrode was inserted subcutaneously. Action potentials from single GC axons were isolated, amplified (X3−Cell; FHC), digitized at 15 kHz (Power1401; Cambridge Electronic Design), and stored for offline analysis. The isolated spikes were simultaneously displayed on an oscilloscope (60 MHz; Tektronix) and computer monitor (Spike2; Cambridge Electronic Design) and played over an audio monitor (AM7; Grass Instruments) to obtain direct feedback of the cell's response. Responses were analyzed offline using Spike2 software version 4.24 (Cambridge Electronic Design). Spikes were accumulated within a 50 ms bin width and displayed as poststimulus time histograms (PSTHs). Each average PSTH was smoothed by fitting it with a raised cosine function with a 50 ms smoothing interval to minimize alteration of the peak firing rate and maximize signal-to-noise ratio (Sagdullaev and McCall, 2005).
Quantitative characterization of GC visual response properties.
The spatial extent and RF center sign of each GC was mapped using a handheld light source on a removable screen that covered a CRT display monitor (Eizo E120 FlexScan FXC7). The screen was located 20–25 cm from the anterior nodal point of the eye. All stimulus and RF dimensions are corrected for monitor distance and are presented in the text in degrees of visual angle.
Receptive field center analysis.
Computer generated stimuli (VisionWorks; Vision Research Graphics) were presented on a CRT monitor with a mean luminance of 20 cd/m2. Stimulus luminance increased to 100 cd/m2 for ON GCs and decreased to 3 cd/m2 (67% contrast) for OFF GCs. Stationary spots of increasing outer diameter (eight steps from 4.6 to 52.7°) were centered on the RF and presented in random order with randomly interleaved blank trials. Spots were presented for 2 s with a 5 s interstimulus interval. The mean spontaneous activity (x̄SA) was measured from “blank” trials, where the monitor luminance was 20 cd/m2. ±3 SEM of the SA was used as a criterion to define thresholds for excitatory and suppressive responses.
Both peak and maintained firing rate were plotted as a function of spot diameter and formed an area response function (ARF) (Fig. 1A). We used the ascending limb of the ARF and its slope to evaluate spatial summation within the RF center, which results from the recruitment of excitatory BC input. The stimulus that elicited the maximum excitatory response defined the RF center diameter and is referred to as the optimal spot.
Excitatory response characteristics.
We quantitatively characterized several aspects of the excitatory response from the average PSTH evoked by the optimal spot (Fig. 1B). Onset latency was defined as the time from stimulus onset until the time when the response rose to 3 SEM above x̄SA. Excitatory response duration was defined as the duration from response onset to offset, when the response decreased below x̄SA. The total excitatory response was defined as the area that remained 3 SEM above x̄SA. In WT GCs, the total excitatory response consisted of two components, a transient peak component (Fig. 1, white region), which then decayed to 37% of peak (or 1/e) within 0.4 s and a maintained component whose duration varied (>0.4 to ≤2.0 s; Fig. 1, gray region). Sustained cells were defined as those whose excitatory response remained 3 SEM above mean spontaneous level for the entire duration of stimulus presentation (2 s). Transient cells had excitatory responses that returned to the mean spontaneous level at ≤1.7 s. We found no ganglion cells whose response durations were between >1.7 and <2.0 s.
Suppressive response characteristics.
Using the same average PSTH, we quantified several aspects of response suppression that occurred at stimulus offset (Fig. 1B, hatched region). Onset latency of suppression was defined as the time from stimulus offset until the time when the response decreased below x̄SA. The duration of response suppression was defined as the duration from onset latency of suppression until the response rose to x̄SA. The total magnitude of suppression was defined as the area when the response remained below x̄SA.
Immunohistochemistry.
We examined the morphology of both single- and double KO retinas using fluorescence immunohistochemistry (Gregg et al., 2007). Retinas were removed from the eyecup, fixed for 15–20 min in 4% paraformaldehyde in 0.1 m phosphate buffer (PB), pH 7.4, cryoprotected through a graded series of sucrose (Barthel and Raymond,1990), and embedded in OCT:20% sucrose (2:1) (Sakura Finetek). Retinas from all four genotypes were stacked together in the same mold and frozen in OCT:20% sucrose (2:1). Twenty-five micron transverse sections were cut through all four retinas on a CM 1850 cryostat (Leica) and mounted on microscope slides (Superfrost/Plus; Fischer Scientific). This ensured that each section was reacted under the same experimental protocol and was reacted with the exact same antibody concentration. Slides were brought to room temperature (RT), incubated in blocking solution (10% normal goat serum, 0.5% Triton X-100 in PBS) for 60 min, and incubated with primary antibodies (diluted in blocking solution) at RT overnight. A mouse monoclonal antibody to GlyRα1 (1:100; Synaptic Systems), goat polyclonal antibody to GlyRα2 and GlyRα3 (both1:50; Santa Cruz Biotechnology), and rabbit polyclonal antibody to GlyRα4 (1:100; Millipore Bioscience Research Reagents) labeled individual GlyRα subunits in WT and single and double KO retinas. A rabbit polyclonal antibody to calbindin (D-28k) (1:1000; Swant) labeled the sublamination pattern of the IPL. Sections were washed in PB and incubated in the secondary antibodies goat anti-mouse, donkey anti-goat, and goat anti-rabbit Alexa 488 in blocking solution for 90 min. Sections were coverslipped with Immu-Mount (Thermo Scientific), and images were taken on an Olympus BX51WI confocal microscope equipped with a Hamamatsu CCD EM digital camera using a 40× PLAPO WLSM objective and FluoView version 5.0 software (Olympus).
Isolation of RNA and reverse transcription.
Both retinas were removed from WT and Glra3−/− mice and pooled. Total RNA was extracted from each sample using TRI Reagent (1.0 ml per two retinas) and purified using RiboPure Kit (Ambion). The quantity and quality of the RNA was determined using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific). First-strand cDNA synthesis was performed by a reaction of 350 ng of total RNA from each sample using the SuperScript III Reverse Transcriptase (Invitrogen).
Real-time PCR.
Real-time PCR was performed on a total of 20 μl of cDNA in reaction mix in 96-well plates using 7900HT Fast Real-Time PCR System (Applied Biosystems). Each 20 μl reaction mixture included 1 μl cDNA, 2 μl TaqMan Fast Universal PCR Master Mix, and 0.5 μl 20× TaqMan assay containing either GlyRα2 or 18s RNA primer sets (GlyRα2, Mm00806742_m1; 18s, Mm03928990_g1; Applied Biosystems). For each cDNA sample, three to four PCR replicates were performed using each primer set. The PCR parameters were: incubation at 50°C for 2 min, denaturation at 95°C for 10 min, and 40 cycles of 95°C for 15 s and 60°C for 1 min. ΔCT of GlyRα2 in each cDNA sample was normalized to the rRNA 18s as an endogenous control as follows: ΔCT = CT, GlyRα2 − CT, 18s. Here, CT is the cycle threshold. The ΔCT ratio was obtained by dividing each ΔCT by the lowest ΔCT from the results. The ΔCT ratios of WT and Glra3−/− mice were compared using a nonparametric t test to examine differences in transcriptional level of GlyRα2.
Statistical analyses.
Statistical analyses were performed using GraphPad Prism5 software version 5.04 for Windows. Distributions of each response component were tested for normality using the D'Agostino–Pearson omnibus test. The distributions of our quantitative responses across GC types and mouse strains were not normal. As a consequence, wherever possible, we used nonparametric statistical analyses to test for differences. We compared each single KOs to WT and double KOs to each single KO using an unpaired t test with Welch's correction (t test with Welch's). Because our sample size across spot diameter satisfies the central limit theorem, we used a two-way ANOVA to compare responses across spot diameter between genotypes. A linear regression analysis was used to compare changes in the slope of the RF center summation between genotypes. We used a χ2 analysis to determine any differences in the distributions of transient versus sustained OFF GCs between genotypes. Data in graphs are represented as mean ± SEM.
Results
Normal inner retinal morphology is retained in the absence of GlyRα2, GlyRα3, or both receptor subunits
In the Glra3−/− mice used in these studies, the absence of GlyRα3 retinal expression has been demonstrated previously (Harvey et al., 2004). In the Glra2−/− mice used here, the absence of retinal expression was verified at the transcription level at P0 (Young-Pearse et al., 2006). We used immunostaining with subunit-specific antibodies to confirm the absence of GlyRα2 and GlyRα3 expression in adult Glra2−/− (Fig. 2, second row), Glra3−/− (third row) and Glra2/3−/− (fourth row) retina sections compared to WT (Fig. 2, first row). Each single KO lacked the characteristic immunoreactivity of its deleted GlyRα subunit, and the double KOs exhibited neither GlyRα2 nor GlyRα3 staining. In both the single and the double KO retinas, the expression patterns of the GlyRα1 and GlyRα4 subunits did not differ from WT (Fig. 2, first and fourth columns). Because GlyRα subunits are expressed primarily in the IPL, we examined and compared the calbindin sublamination pattern in the IPL across WT and single and double KO retinas. Retinas from all four genotypes showed three clear calbindin-immunoreactive bands (Fig. 2, fifth column). Thus, the gross morphology of the inner retina appears intact regardless of the absence of GlyRα2, GlyRα3, or both subunit expression. The GlyRα3 antibody labels four discrete bands in the IPL (Haverkamp et al., 2003), and although moderate upregulation of GlyRα2 expression has been reported across the IPL in the absence of GlyRα3 (Heinze et al., 2007), this difference was not evident in our immunohistochemical analysis.
GlyRα2 transcription levels are not altered in Glra3−/− mice
We used real time PCR to examine the expression of the Glra2 gene in WT retina and to determine whether it is upregulated in Glra3−/− retina. Our results show that the level of GlyRα2 mRNA in WT (n = 9) and Glra3−/− (n = 8) retinas (ΔCT ratio) was similar (WT, 1.029 ± 0.01; Glra3−/−, 1.046 ± 0.016; p = 0.13). The electrophysiological data presented below are consistent with this result and suggest that there is no upregulation of GlyRα2 in the absence of GlyRα3.
GlyR subunit-specific inhibition enhances ON and OFF GC spontaneous activity but does not alter receptive field center size
Because little is known about the role of GlyR subunits in GC spontaneous or visually evoked responses, we examined and compared the responses of GCs using spot stimuli of varying diameter to probe their RF center response. We divided GCs into those with ON-center (ON) or OFF-center (OFF) RFs and their responses into excitatory and suppressive phases (Fig. 1B). Representative responses of each GC class recorded from all four genotypes are shown in the average PSTHs of Figure 3. Raster plots above each PSTH indicate their spiking responses to individual stimulus presentations. Among our 292 WT ON GCs, we found only 10 cells with transient responses. We divided the excitatory responses of OFF GCs into transient and maintained components relative to the presence of the stimulus. For each GC response characteristic, we compared WT ON or OFF GCs (Fig. 3Ai,Bi,Ci) to GCs from each single KO (Fig. 3Aii–Ciii). This allowed us to determine whether one or both subunits modulated the response. We used comparisons of GC responses between single (Fig. 3Aii–Ciii) and double KOs (Fig. 3Aiv–Civ) to evaluate whether GlyRα2 and GlyRα3 inhibition was independent. Finally, we compared changes in excitatory and suppressive responses in an attempt to determine the synaptic circuit(s) that could account for the changes observed.
The SA of OFF GCs was significantly lower than ON GCs in WT as well as all knock-outs. The SA of Glra3−/− ON GCs was significantly lower than that of WT ON GCs (Fig. 4A; 24.5 ± 1.2 spikes/s, n = 94 vs 28.5 ± 0.8 spikes/s, n = 291; p = 0.005). The SA of Glra2−/− OFF GCs was significantly lower than that of WT OFF GCs (Fig. 4B; 4.1 ± 0.4 spikes/s, n = 57 vs 6.8 ± 0.3 spikes/s, n = 174; p < 0.001). The SA of Glra2/3−/− ON (27.1 ± 2.5 spikes/s; n = 46) and OFF GCs (4.7 ± 0.5 spikes/s; n = 47) was similar to that of single KO ON (Glra2−/−, p = 0.70; Glra3−/−, p = 0.30) and OFF GCs (Glra2−/−, p = 0.47; Glra3−/−, p = 0.08) (Fig. 4A,B). Our results indicate that GlyRα3 and GlyRα2 subunits provide pathway-specific tonic inhibition. GlyRα3 acts within the On pathway, whereas GlyRα2 acts within the Off pathway. Each serves to enhance the tonic spontaneous firing rate of GCs in the WT retina. In light of this finding in the subsequent analyses, SA was subtracted from evoked GC responses in all genotypes.
The RF center diameters of Glra2−/− and Glra3−/− ON (Fig. 5A) and OFF (Fig. 5B) GCs were similar to those of WT GCs (Table 1; ON, p = 0.11, p = 0.51; OFF, p = 0.56, p = 0.08, respectively). The RF diameters of ON single and double KO GCs also were similar (p = 0.50 and p = 0.95, respectively). The mean RF diameters of double KO OFF GCs, while similar to Glra2−/− (p = 0.44), were significantly larger than Glra3−/− (p = 0.005). Our results are primarily consistent with previous studies that GlyR modulation does not contribute significantly to RF center spatial tuning (O'Brien et al., 2003; Manookin et al., 2008; van Wyk et al., 2009; Chen et al., 2010). The difference that we observe in the RF diameters of the double KO OFF GCs could be confounded with their generally low response amplitudes and more transient responses, which could lead to the need for larger spots to obtain responses significantly above SA.
Table 1.
GC class | WT |
Glra2−/− |
Glra3−/− |
Glra2/3−/− |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
x̄ | ±SE | n | x̄ | ±SE | n | x̄ | ±SE | n | x̄ | ±SE | n | |
ON | 20.8 | 0.7 | 292 | 17.4 | 1.1 | 59 | 20.3 | 1.2 | 95 | 19.5 | 1.6 | 47 |
OFF | 20.5 | 0.7 | 174 | 21.4 | 1.4 | 57 | 18.0 | 1.2 | 61 | 24.7 | 1.9 | 51 |
The spot outer diameter that elicited the maximum spiking response for ON and OFF GCs is an estimate of the RF center diameter for each genotype. The mean RF diameter (x̄), ±SE, and total number (n) of cells are presented for each genotype. RF dimensions are corrected for monitor distance and are presented in degrees of visual angle.
WT ON GCs receptive field center excitation is enhanced by both GlyRα2 and GlyRα3 inputs
The onset of a stationary bright spot whose dimensions are within or match the RF center evokes an excitatory response in WT ON GCs. In the overwhelming majority of WT ON GCs in our sample (282 of 292) this excitatory response has an initial transient peak within 0.40 s of stimulus onset (Fig. 6Ai, left) followed by a maintained excitation that is temporally matched to the stimulus (2 s) (Fig. 6Aii, left). The remaining 10 WT ON GCs had only a transient peak.
The transient peaks of both Glra2−/− (41.0 ± 2.2 spikes/s; n = 59) and Glra3−/− ON GCs (43.0 ± 1.7 spikes/s; n = 95) were significantly lower than those of WT ON GCs (Fig. 6Bi; 47.3 ± 1.2 spikes/s; n = 292; p = 0.02 and p = 0.04, respectively). The maintained firing rates of both Glra2−/− (13.4 ± 1.3 spikes/s; n = 57) and Glra3−/− ON GCs (14.7 ± 1.0 spikes/s; n = 90) also were significantly lower than those of WT ON GCs (Fig. 6Ci; 17.8 ± 0.7 spikes/s; n = 289; p = 0.005 and p = 0.01, respectively). The difference in both peak and maintained firing rates are evident for both Glra2−/− and Glra3−/− GCs across spot diameters smaller than the RF center, however only the maintained rates are significantly lower (Fig. 6Cii; p < 0.01). These results suggest that the input of both GlyRα2 and GlyRα3 subunits augments the total excitatory response in WT ON GCs.
The peak amplitude (30.0 ± 2.3 spikes/s; n = 47) and maintained firing rates (7.0 ± 1.0 spikes/s; n = 34) of Glra2/3−/− ON GCs were significantly lower than those of either single KO (Fig. 6Bi,Ci; p < 0.001). This result indicates that GlyRα2 and GlyRα3 subunit inputs contribute separately to the RF center excitatory response of WT ON GCs. They also indicate that the two subunit inputs cooperate to enhance both RF center excitation and the sustained nature of ON GC response (see Fig. 10A,C).
WT ON GC response suppression at stimulus offset is specific to GlyRα2 inputs
Like most mammalian GCs, the spiking activity of WT mouse ON GCs is suppressed below spontaneous levels at stimulus offset (poststimulus suppression; Fig. 7A, left). In our WT sample, ON GCs remain suppressed on average for 0.66 s after stimulus offset. The etiology of this suppression is not completely understood. A feedforward glycinergic input to ON GCs at stimulus offset has been shown to be generated by the Off pathway and hypothesized to use a crossover inhibitory mechanism (Chen et al., 2010).
To test the hypothesis that GlyRα2 and/or GlyRα3 mediate this input, we compared total poststimulus suppression in ON GCs in each single KO to WT. Consistent with a mechanism mediated by GlyRα2, Glra2−/− ON GCs show less poststimulus suppression compared to WT ON GCs (Fig. 7B; 3.4 ± 0.4 spikes × sec, n = 57 vs 4.5 ± 0.3 spikes × sec, n = 284; p = 0.01). Poststimulus suppression in Glra3−/− ON GCs was similar to that in WT (Fig. 7B; 5.4 ± 0.5 spikes × sec; n = 84; p = 0.13). Poststimulus suppression in double KO ON GCs was similar to that in Glra2−/− ON GCs (Fig. 7B; 2.6 ± 0.4 spikes × sec; n = 41; p = 0.17) and significantly lower than that in Glra3−/− ON GCs (p < 0.001). These changes most likely do not result from differences in SA levels. Although the SA of GlyRα3 ON GCs is lower compared to that of WT, their poststimulus suppression is similar to that of WT. In contrast, the SA of GlyRα2 ON GCs is similar to that of WT, whereas their poststimulus suppression is significantly less compared to WT.
In summary, both the RF center excitatory response at stimulus onset and response suppression at stimulus offset are lower in Glra2−/− ON GCs compared to WT. In Glra3−/− ON GCs, only the RF center excitatory response is lower. Combined with our results for double KO ON GCs, which show an even greater change in RF excitation than either single KO, suggest that GlyRα2 and GlyRα3 inputs work independently in the On pathway, albeit to the same purpose, to enhance and extend RF center excitation.
WT OFF GC temporal responses are modulated by GlyRα2 input
The onset of a dark spot of standing contrast whose dimensions are within or match the RF center evokes an excitatory response in WT OFF GCs. Like their WT ON counterparts, WT OFF GCs show an initial transient peak within 0.40 s of stimulus onset (Fig. 8Ai, left). In 77% of WT OFF GCs (134 of 174), this is followed by a maintained excitation that is temporally matched to the stimulus (Fig. 3Bi), whereas in the other 23%, the excitatory response declines to SA level before stimulus offset (Fig. 3Ci). Previous publications also have described two functional types of WT OFF mouse GCs (Pang et al., 2003; Murphy and Rieke, 2006; van Wyk et al., 2009), although the stimulus durations they used were significantly shorter than 2 s. Although the morphological identity of the GCs sampled in our extracellular optic nerve recordings are not known, we assume that they are A-type for the following reasons: Our optic nerve recordings target GCs with the largest axons (Boycott and Wässle, 1974). Optic nerve recordings only sample responses of ON- and OFF-center GCs. The GCs recorded have brisk visually evoked responses and linear RF center summation (Kuffler, 1953; Enroth-Cugell and Robson, 1966).
Across Glra2−/−, Glra3−/−, and Glra2/3−/− OFF GCs, we found both sustained and transient GCs (Fig. 3Aii–Civ), and their proportions in Glra3−/− OFF GCs were similar to those of WT (Table 2). In contrast, Glra2−/− and Glra2/3−/− OFF GCs had more transient than sustained responses compared to WT (Table 2; Glra2−/−, p = 0.01; Glra2/3−/−, p ≤ 0.001; χ2). As a consequence, we did not use a sustained/transient criterion to group OFF GCs. Instead, we compared all OFF GCs in KO mice to WT to define general trends in the contribution of GlyRα2 and GlyRα3 inhibition.
Table 2.
Sustained (%) | Transient (%) | Total OFF GCs | |
---|---|---|---|
WT | 77 (n = 134) | 23 (n = 40) | 174 |
Glra2−/−* | 60 (n = 34) | 40 (n = 23) | 57 |
Glra3−/− | 75 (n = 46) | 25 (n = 15) | 61 |
Glra2/3−/−* | 45 (n = 23) | 55 (n = 28) | 51 |
The proportions of OFF sustained and OFF transient GCs are given for each genotype. The proportions of OFF sustained and OFF transient GCs are similar between WT and Glra3−/−. In contrast, Glra2−/− and Glra2/3−/− OFF GCs have more transient than sustained GCs compared to WT.
*p < 0.05.
WT OFF GC receptive field center excitation is modulated by GlyRα2 input
The transient peak response of Glra3−/− and WT OFF GC RF center responses at the optimal spot diameter were similar (Fig. 8Ai,Bi; 52.7 ± 4.3 spikes/s, n = 61 vs 47.0 ± 2.0 spikes/s, n = 174; p = 0.22), as were their maintained firing rates (Fig. 8Ai,Ci; 6.2 ± 0.7 spikes/s, n = 59 vs 6.5 ± 0.4 spikes/s, n = 167; p = 0.80). These similarities were maintained across all spot diameters within the RF center (Fig. 8Bii,Cii; p > 0.05 for both). No other differences were noted in any aspect of the RF center response at stimulus onset or offset, leading to the conclusion that GlyRα3 input does not modulate OFF GC RF center responses.
The transient peak response of Glra2−/− OFF GCs at all spot diameters within the RF center was similar to that of WT (Fig. 8Bi,Bii; optimal, 42.0 ± 3.0 spikes/s; n = 57; p = 0.20; all diameters, p > 0.05). The maintained firing rates of Glra2−/− OFF GC RF center excitatory responses were significantly lower than those of WT OFF GCs both at the optimal diameter (Fig. 8Aii,Ci; 4.5 ± 0.6 spikes/s, n = 52 vs 6.5 ± 0.4 spikes/s, n = 167; p = 0.009) and across all spot diameters within the RF center (Fig. 8Cii; p < 0.001). The difference in the maintained response component causes the increase in transient GlyRα2 OFF GCs compared to WT described above.
Both the peak RF center response of double KO OFF GCs (Fig. 8Ai,Bi; peak, 36.0 ± 3.1 spikes/s; n = 51; p = 0.17) and the maintained response were similar to those of Glra2−/− OFF GCs (Fig. 8Ci; maintained, 3.7 ± 0.7 spikes/s; n = 42; p = 0.40). Consequently, they were significantly lower compared to Glra3−/− OFF GCs (p = 0.002 and p = 0.02, respectively).
OFF GCs also exhibit response suppression at stimulus offset (Fig. 9A). Glra2−/− OFF GCs had significantly less poststimulus suppression compared to WT (Fig. 9B; 0.8 ± 0.1 spikes × sec, n = 56 vs 1.7 ± 0.1 spikes × sec, n = 168; p < 0.001). Poststimulus suppression in Glra3−/− OFF GCs was similar to that in WT OFF GCs (Fig. 9B; 2.2 ± 0.3 spikes × sec; n = 59; p = 0.06). Poststimulus suppression in double KO OFF GCs (1.1 ± 0.2 spikes × sec; n = 50) was similar to that in Glra2−/− OFF GCs (p = 0.10) and, as a consequence, lower than in Glra3−/− OFF GCs (p = 0.001).
Our results demonstrate a novel role for GlyRα2-mediated inhibition in modulating the RF center response of WT OFF GCs and relative to GlyRα3-mediated inhibition, the only one that modulates WT OFF GC responses. The exact role of GlyRα1 input, which is the predominant glycinergic synaptic input to mouse rod and cone Off bipolar cells as well as A-type GCs (Majumdar et al., 2007) remains to be defined and will require conditional elimination of its expression. The differences that we observed for GlyRα2 in ON GCs, namely, less excitation and less suppression, are the same as those we observe in OFF GCs. This indicates that GlyRα2 uses a similar inhibitory mechanism in both pathways to the same end, to enhance the excitatory RF center response and match it to stimulus duration.
Discussion
GlyRα2 and GlyRα3 subunit-specific modulation of ON and OFF GC RF center temporal responses
Our results show GlyRα2 subunit-specific control over the maintained component of the RF center response of OFF GCs to stimulus onset and poststimulus suppression. In this pathway, GlyRα2 functions to enhance GC RF center excitation and temporally match the excitatory response to stimulus duration. In ON GCs, temporal response components are governed by both GlyRα2 and GlyRα3 subunit inputs, which appear to contribute separately but function together to perform the same response enhancement and temporal matching. We found no evidence of either subunit input alone mediating spatial aspects of the RF response, which is consistent with an established role of glycinergic inhibition in the modulation of temporal and not spatial properties of the GC visual response (Bolz et al., 1985; Stone and Pinto, 1992; O'Brien et al., 2003; Chen et al., 2010).
GlyRα2 and GlyRα3 subunits modulate inhibition slower than receptor kinetics
In Glra2−/− OFF GCs, a lower maintained excitatory response compared to WT results in more transient responses both in Glra2−/− and Glra2/3−/− double KO mice. Spontaneous GlyRα1 and GlyRα3 IPSCs (Ivanova et al., 2006; Majumdar et al., 2007; Weiss et al., 2008) and light-evoked glycinergic IPSCs (Pang et al., 2007; Manookin et al., 2008) have been shown in cellular components of the Off pathway. Thus, our results define a new role for GlyRα2 inhibition in shaping the response of WT OFF GCs to match stimulus duration.
GlyRα2 and GlyRα3 control of the maintained response is slow (between 0.4 and 2 s) compared to their receptor kinetics (mean decay τ, GlyRα2, ∼27 ms; GlyRα3, ∼11ms) (Weiss et al., 2008). This difference is most easily explained by a prolonged or asynchronous release of presynaptic neurotransmitter that shapes the inhibitory input controlling the maintained response, similar to the timing of inhibitory inputs that shape BC light-evoked inhibition (Tachibana, 1999; Eggers and Lukasiewicz, 2006; Eggers et al., 2007).
GlyRα2 and GlyRα3 enhance ON and OFF GC RF center excitation through separate inhibitory mechanisms
GlyRα2 mediates crossover inhibition in both the On and Off pathways
The absence of GlyRα2 expression creates the same changes in ON and OFF GC RF center responses. Both the transient and sustained components of the RF center excitatory responses at stimulus onset and poststimulus suppression are significantly lower than those of WT. Less excitation is inconsistent with the removal of direct inhibition. Removal of serial inhibitory input will result in less excitation at stimulus onset; however poststimulus suppression, arising from inhibitory inputs in the opposite pathway, should be unchanged. The most parsimonious explanation for our result is that GlyRα2 meditates crossover inhibition from the Off to the On as well as the On to Off WT pathways. Glycinergic crossover inhibition has been shown to augment both excitation at stimulus onset and suppression at stimulus offset in rabbit GCs (Roska and Werblin, 2001; Roska et al., 2006; Molnar and Werblin, 2007; Hsueh et al., 2008; Molnar et al., 2009; Chen et al., 2010). In addition, mouse OFF GCs receive glycinergic inhibitory inputs from the On pathway (van Wyk et al., 2009).
Figure 10A illustrates a circuit in which GlyRα2 mediates crossover input from the Off to On pathway. The GlyRα2 receptor is positioned as the target of a narrow field (NF) AC, where it mediates inhibition to an ON GC. We have eliminated ON cone BCs (CBCs) as the target because they lack spontaneous and evoked glycinergic IPSCs (Ivanova et al., 2006; Eggers et al., 2007). At the onset of a bright-spot stimulus (currents under white portion of stimulus profile bars), the primary inward current that governs excitation in ON GCs (Fig. 10A, Box 5) arises from ON CBCs (Box 3). In the Off pathway, stimulus onset produces a small outward current in OFF CBCs (Box 1) that provides input and produces a response in the NF AC (Box 2). Crossover inhibition inverts this current, and the NF AC synaptic input produces a current in the ON GC (Box 4) with the same sign as its ON CBC input (Box 3). In WT ON GCs, this mechanism enhances excitation, and in the absence of GlyRα2 input, only the ON CBC input drives the ON GC response, and the stimulus evokes less excitation. The offset of the bright spot (currents under the gray portion of the stimulus profile bars) eliminates the excitatory input from the ON CBC and induces a small outward current (Box 3). At the same time, OFF CBC excitation elicits a large inward current in the NF AC (Box 2). Crossover inhibition inverts current polarity and the NF AC input produces a current in the ON GC (Box 4) of the same sign as its ON CBC input (Box 3). This enhances response suppression in WT ON GCs (Box 5), and the absence of GlyRα2 input reduces suppression.
Changes in RF center responses of OFF GCs in the absence of GlyRα2 are the same as those in ON GCs, which suggests a similar GlyRα2 inhibitory mechanism in the On and Off pathways (Fig. 10B). Although the receptor subunit was unknown at the time, On-to-Off pathway inhibition was predicted to occur via an intermediate glycinergic AC in cat GCs (Wässle et al., 1986). Given its localization throughout the IPL (Heinze et al., 2007), our results suggest that GlyRα2 is a subunit that mediates inhibitory inputs from the On to the Off pathway and vice versa.
Figure 10B illustrates GlyRα2-mediated crossover input from the On to the Off pathway. Here the GlyRα2 receptor is the target of a NF AC for two reasons. All spontaneous and glycine evoked IPSCs in OFF CBCs are mediated by GlyRα1 (Ivanova et al., 2006). Glycinergic IPSCs with slower kinetics remain in A2 OFF GCs in the absence of their dominant GlyRα1 synaptic input (Majumdar et al., 2007). The onset of a dark spot initiates excitation in OFF CBCs (currents under gray portion of stimulus profile bars). Using a NF AC, the same crossover inhibitory mechanisms described for the Off to the On pathway (Fig. 10A) enhance the RF excitatory response as well as response suppression in WT OFF GCs. Again, the absence of GlyRα2 input lowers response excitation and suppression. It should be noted that concatenated circuits have been observed previously (Anderson et al., 2011). If they provide input to the NF AC that mediates crossover inhibition, then the position of the GlyRα2 receptor could differ from our placement in Figure 10, A and B. What is not in question is that our observations are consistent with a role of the GlyRα2 receptor and a crossover inhibitory circuit that contributes to GC RF center response enhancement.
GlyRα3 mediates serial inhibition in the On pathway
Both RF center transient and maintained response components of Glra3−/− ON GCs are lower than those of WT. The absence of GlyRα3 inhibition does not affect poststimulus suppression, and we therefore predict that GlyRα3 uses a different mechanism, serial inhibition, in the On pathway. GABAergic feedback to the RF center of rabbit local edge detector GCs is controlled by serial glycinergic inhibition (Russell and Werblin, 2010), and this mechanism also governs salamander GC responses (Zhang et al., 1997).
Figure 10C illustrates GlyRα3-mediated serial inhibitory input within the On pathway. This pathway is shown separately for clarity, although GlyRα2 and GlyRα3 could work together in the same circuit. The GlyRα3 receptor is located on the ON AC most proximal to the ON GC, as the target of a distal ON AC. All AC processes are confined to the On sublaminae because Glra3−/− OFF GC RF responses are similar to those of WT. ON CBCs only show GABAergic sIPSCs; therefore, if they are the target, then the proximal ON AC is GABAergic (Eggers et al., 2007), whereas if the target is an ON GC, the proximal ON AC can be glycinergic targeting GlyRα1Rs (Ivanova et al., 2006) or GABAergic targeting GABAARs (Eggers et al., 2007). At the onset of a bright-spot stimulus (Fig. 10C, currents under white stimulus profile bars), an excitatory response arises in ON CBCs (Boxes 1a, 1b), resulting in inward currents in ON ACs (Boxes 2, 3). GlyRα3-mediated inhibition from the distal ON AC (Box 4) reduces the inward current in the proximal ON AC (Box 5). This reduces its inhibitory output to the postsynaptic target (WT ON CBC or GC). The absence of GlyRα3 expression eliminates the inhibitory input to the proximal AC and increases its inhibitory input. When its target is the ON CBC, this reduces excitatory input to the ON GC. When its target is the ON GC, excitation decreases because direct inhibition increases. Regardless, the absence of GlyRα3 expression reduces stimulus evoked spiking in the ON GC (Box 6).
Summary
Our findings extend the previous literature that demonstrated a significant role of glycinergic inhibition in shaping visual responses in the retina. Our results define novel roles of two glycine subunits not only in their selectivity within the On and Off pathways, but also in the specific inhibitory mechanisms that they employ to modulate GC visual function. One question arises whenever the role of ACs in retinal function is discussed: Why are there so many diverse AC classes? In light of this question, our results could be interpreted as evidence to support the idea that multiple ACs are required to target each subunit-specific input within the retinal parallel pathways and that different ACs are required to modulate both the transient and sustained aspects of the visual response.
Footnotes
This work was supported by NIH Grant EY140701 (M.A.M.) and an unrestricted Research to Prevent Blindness grant to University of Louisville, Department of Ophthalmology and Visual Sciences. We thank Drs. Heinze Wässle, Stephen Mills, and Erika Eggers for critical reading of this manuscript.
The authors declare no competing financial interests.
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