Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2017 Oct 25.
Published in final edited form as: Curr Biol. 2016 May 5;26(10):1367–1375. doi: 10.1016/j.cub.2016.03.073

Role for visual experience in the development of direction-selective circuits

Rémi Bos 1, Christian Gainer 2, Marla B Feller 1,3
PMCID: PMC5656295  NIHMSID: NIHMS884704  PMID: 27161499

SUMMARY

Visually-guided behavior can depend critically on detecting the direction of object movement. This computation is first performed in the retina where direction is encoded by direction-selective ganglion cells (DSGCs) that respond strongly to an object moving in the preferred direction and weakly to an object moving in the opposite, or null, direction (reviewed in [1]). These DSGCs come in multiple types that are classified based on their morphologies, response properties and targets in the brain. This study focuses on two types – ON and ON-OFF DSGCs. Though animals can sense motion in all directions, the preferred directions of DSGCs in adult retina cluster along distinct directions that we refer to as the cardinal axes. ON DSGCs have three cardinal axes – temporal, ventral and dorsonasal – while ON-OFF DSGCs have four – nasal, temporal, dorsal, and ventral. How these preferred directions emerge during development is still not understood. Several studies have demonstrated that ON [2] and ON-OFF DSGCs are well tuned at eye-opening, and even a few days prior to eye-opening, in rabbits [3], rats [4] and mice [58], suggesting that visual experience is not required to produce direction selective tuning. However, here we show that at eye-opening the preferred directions of both ON and ON-OFF DSGCs are diffusely distributed and that visual deprivation prevents the preferred directions from clustering along the cardinal axes. Our findings indicate a critical role for visual experience in shaping responses in the retina.

RESULTS

Clustering of DSGC preferred directions along cardinal axes after eye-opening requires visual experience

We used two-photon calcium imaging to study the development of DSGC populations in mouse retina. This imaging technique has proven to be quite powerful in characterizing the receptive field properties of retinal ganglion cells [912]. We loaded retinas of WT mice near eye-opening (P13-P14) and in adulthood (>P30) with the calcium dye Oregon green 488 BAPTA-1 hexapotassium salt (OGB-1) via electroporation, thus uniformly labeling the ganglion cell layer (Figure 1A; see Supplemental Information). Ventral portions of the retina were stimulated with light centered at 385 nm to maximally activate UV-cones [13, 14] while minimizing cross talk with the imaging detectors (Figure S1). This approach allowed us to record from all DSGC subtypes within a single field of view (~40000 μm2).

Figure 1. Two-photon calcium imaging reliably identifies both ON and ON-OFF DSGCs in response to UV-drifting bars.

Figure 1

(A) Two-photon fluorescent image of OGB-1 in ganglion cell layer of P13 retina. Red and blue circles indicate ON and ON-OFF DSGCs, respectively.

(B) Examples of OGB-1 calcium signals (ΔF/Fo) in response to a UV bar moving in 8 different directions (black arrows).

(C) Average calcium responses (ΔF/Fo) and tuning curves of three ON DSGCs and four ON-OFF DSGCs from the same field of view in response to a UV-drifting bar. The colored lines inside the polar plots indicate the vector-sum. Numbers around polar plots are indicating the amplitude of calcium signals (ΔF/Fo). V=ventral. N= nasal, D = dorsal, T = temporal

(D) Preferred directions remain stable between two consecutive imaging sessions for both ON (red) and ON-OFF DSGCs (blue) at eye-opening (top, n=73 cells from 3 retinas) and in adult (bottom, n=30 cells from 2 retinas). Pref. dir., preferred direction. r2 indicates the measure of goodness-of-fit of linear regression.

(E) Examples of OGB-1 calcium signals (ΔF/Fo) from an ON-OFF DSGC (top) and an ON DSGC (bottom) in the same field of view from a P14 retina before (top), after 15 minutes bath application of GABAA receptor blocker (GABAzine, 10 μM; middle) and after 30 minutes of rinsing (bottom). Tuning curves for each condition are shown on right.

(F) Direction selective index of ON DSGCs (red) and ON-OFF DSGCs (blue) from P13-14 and adult retinas before, during and after GABAzine application. Black circles and error bars show mean ± SD (*** p<0.001, one-way ANOVA with Tukey post-hoc test).

(G) Summary effects of GABAzine (5–10 μM; white bars) and its rinse (grey bars) on the direction selective index (DSI) as compared to control at eye-opening (left, n=36 DSGCs with 16 ON DSGCs and 20 ON-OFF DSGCs from 2 retinas) and in adult (right, n=20 DSGCs with 12 ON DSGCs and 8 ON-OFF DSGCs from 2 retinas). Means and SD are shown. (*** p<0.001, one-way ANOVA with Tukey post-hoc test). See also Figure S1 and Table S1.

To identify DSGCs, we first used full field UV-light flashes to classify cells as ON, OFF or ON-OFF retinal ganglion cells (RGCs) (Figure S1; Table S1). We found that around 80% of the cells in the ganglion cell layer of young and adult retinas responded to light flashes with changes in fluorescence (Table S1), similar to the RGC percentages reported in previous studies [9, 11, 12]. In addition, over development we observed a decrease in the percentage of ON-OFF RGCs (28.03% at P13-14 to 20.84% in adult) (Table S1) [15].

Second, we used light bars on a dark background drifting in 8 directions to identify and classify ON and ON-OFF DSGCs. In adult (>P30) and young (P13-P14) retinas, both ON and ON-OFF DSGCs were readily distinguishable (Figure 1B; Table S1; Supplemental Information) and DSGCs in the same field of view displayed different preferred directions (Figure 1C; Figure S1). For both ages, ON and ON-OFF DSGCs displayed stable preferred directions in response to two consecutive imaging sessions (Figure 1D). Finally, DSGCs had significantly reduced tuning in the presence of the GABAA receptor blocker, gabazine (5–10 μM; n = 56 cells from 4 retinas) (Figures 1E–G). These effects were observed both in young and adult retinas, confirming that the asymmetric inhibition that generates the directional tuning is established and functional at early developmental stages in both DSGC types [7, 16, 17]. Together, these experiments indicate that we can reliably record from stable populations of ON and ON-OFF DSGCs.

We next investigated the distribution of preferred directions of these DSGCs in adult and at eye-opening. In adult retinas, we found that the preferred directions of ON DSGCs clustered along 3 cardinal axes while the preferred directions of ON-OFF DSGCs clustered along 4 axes [1, 18, 19]. However, at eye-opening (P13-14), the preferred directions of both ON and ON-OFF DSGCs were more broadly distributed than in adult (Figure 2A), similar to rabbit [20]. We note that this lack of clustering along the cardinal axes was observed in individual retinas (Figure S2) and therefore was not due to variations in retinal positioning in the recording chamber. Interestingly, ON-DSGCs mostly avoided nasal preferred directions, indicating a strong repulsive signal for that direction. Our findings indicate that the preferred directions for ON and ON-OFF DSGCs cluster along the cardinal axes within three weeks after eye-opening.

Figure 2. Clustering of the preferred directions of ON and ON-OFF DSGCs along the cardinal axes requires visual experience.

Figure 2

(A) The preferred directions are plotted as polar plots (left) and histograms (right) for ON DSGCs (red) and ON-OFF DSGCs (blue) in adult (top), at eye-opening (middle top), after dark-rearing (middle bottom) and after re-exposure the dark-reared mice to a normal light cycle (12 hr darkness: 12hr light) for 30–50 days (bottom). Solid black lines of polar plots indicate a vector sum length of 0.5 (see Suppl. Information for definition). Solid grey lines on the histograms indicate the von Mises distributions with fixed angles (0°, 105° and 263° for ON DSGCs and 0°, 90°, 180° and 270° for ON-OFF DSGCs).

(B) Average silhouette values as a function of the different cluster numbers for ON DSGCs (left) and ON-OFF DSGCs (right) in adult (black line), at P13-14 (magenta), after dark-rearing (green), after re-exposure to light (grey) and in random distribution (blue). Silhouette values were calculated using k-means clustering analysis of the preferred directions observed in (A). Mean and SD are given for each cluster (** p<0.01, one-way ANOVA with Tukey Post-hoc test).

(C) Direction Selectivity Index and tuning strength represented by the vector sum length of ON (left) and ONOFF (right) DSGCs in adult (black), P13-14 (magenta), dark-reared (green) and dark-reared mice re-exposed to light (grey). Mean and SD are represented (* p<0.05, ** p<0.01, *** p<0.001 one-way ANOVA with Tukey Post-hoc test). See also Figure S2 and S3 and Table S2 and S3.

To test if this clustering is dependent on visual experience, we measured the tuning properties in WT mice that were dark-reared from P3 to adult (>P30). Surprisingly, we found that dark-rearing prevented the clustering of the preferred directions of both ON and ON-OFF DSGC along the cardinal axes (Figure 2A; Figure S2). Re-exposure to light for 30–50 days following dark rearing leads to clustering of ON-OFF and ON DSGCs along the cardinal axes (Figure 2; Figure S2 and Table S2), though many cells retained preferred directions along non-cardinal axes. This partial rescue of the phenotype indicates that there is not a strict critical period for the development of retinal direction selectivity.

To compare quantitatively the distributions of preferred directions for P13-14, adult light-reared, adult dark-reared, and dark-reared mice that were re-exposed to light, we used three methods. First, we fit each DSGC population’s distribution of preferred directions to a mixture model composed of 3 von Mises (VM) distributions for ON cells and 4 VM distributions for ON-OFF cells, using maximum likelihood estimation (Figure 2A; Table S2). Adult DSGC populations for both ON and ON-OFF cells were well fit with narrower VM distributions, while P13-14 and dark-reared populations were fit by broader VM distributions, indicating that adult DSGCs display stronger clustering than their P14 and dark-reared counterparts. This effect was more pronounced for the vertically-tuned ON-OFF DSGCs (Table S2). Again, the fits indicate that the clustering was partially recovered upon re-exposure to light.

Second, we used circular statistics to compare distributions of preferred directions and determined significant differences between adult, P13-14 and dark-reared ON and ON-OFF DSGCs (Figure S3; Table S3). We found that in dark-reared mice re-exposed to light, ON-OFF DSGCs but not ON-DSGCs were also significantly different than light-reared adults.

Third, we used a k-means clustering algorithm [21] to determine the number of clusters that best describes the distribution pattern of the preferred directions of DSGCs (Figure 2B). To compare the extent of clustering, we computed the silhouette value, with higher silhouette values indicating an appropriate number of clusters [20, 21] (see Supplemental Information). Adult retinas displayed significantly higher silhouette values for 3 and 4 specific clusters for the ON and the ON-OFF DSGCs, respectively than a random distribution of preferred directions (0.91 and 0.89). In contrast, neither young nor dark-reared retinas showed a peak in their silhouette values for any cluster number. Thus at eye-opening and in dark-reared adult retina, both ON and ON-OFF DSGCs display distributions of preferred directions that are not significantly different from a random distribution of preferred directions. Consistent with previous measures (Figure 2), re-exposure to light partially reverses this effect. Significant higher silhouette values were observed for 3 and 4 specific clusters for the ON and the ON-OFF DSGCs, respectively, compared to a random distribution of preferred directions (0.87 and 0.85) (Figure 2B).

To determine the effect of dark rearing on DS tuning, we compared two measures of tuning -- DSI and the magnitude of the vector sum -- for the different conditions (Figure 2C). We found no significant difference for the DSIs of either ON and ON-OFF DSGCs across conditions [3, 6], and a small but significant increase in the vector sum for ON-OFF DSGCs across development, as described previously [5, 8], suggesting a visually-driven maturation of tuning properties. Though DSGCs were strongly tuned at eye-opening and after dark-rearing, both ON and ON-OFF DSGCs in young and dark-reared mice retained the immature distribution of preferred directions, failing to cluster along the cardinal axes (Figure 2; Figure S2).

Finally, we found that dark-rearing led to a higher percentage of non-responsive cells to light in dark-reared mice (Table S1) and a small but significant decrease (~5%) in calcium transient amplitudes of ON but not OFF responses from DSGCs in dark-reared mice, consistent with previous studies in which it was demonstrated that visual deprivation weakens excitatory inputs into RGCs [22] and alters the synaptic connectivity between cones and ON bipolar cells [23] or potentially connections between bipolar cells and their postsynaptic targets.

Together, these results indicate that the primary impact of visual experience is on clustering of ON and ON-OFF DSGCs preferred directions along their cardinal directions rather than on the development of their light response or directional tuning.

Clustering along cardinal axes occurs via realignment rather than refinement of directional tuning

How does visual experience induce the clustering of preferred directions? As a first step toward answering this question, we investigated if clustering occurs via refinement, i.e., a sharpening or stabilizing of DSGC directional tuning. We compared the strength of directional tuning for DSGCs aligned along the cardinal axes to that of DSGCs not aligned along these axes, which we term non-cardinal DSGCs (see Supplemental Information). We found that non-cardinal DSGCs exhibited similar calcium transient amplitudes and directional tuning properties (DSI and magnitude of the vector sum) to cardinal-axes DSGCs (Figure 3A–D). Moreover, in young and dark-reared retinas the preferred directions of non-cardinal ON and ON-OFF DSGCs remained stable in two consecutive imaging sessions (Figure 3E). Thus non-cardinal tuning is not the result of broader tuning that would cause the preferred direction to be more variable [24], indicating vision-based clustering is not due to refinement of DSGC directional tuning. Furthermore, non-cardinal DSGCs exhibited the same velocity tuning as cardinal DSGCs in both in young and dark-reared mice (Figures 3F and 3G). Together, these results suggest that visually-driven clustering is not due to the relative timing of the excitatory and inhibitory inputs onto DSGCs [25].

Figure 3. Non-cardinal DSGCs do not display broader direction selective tuning or distinct speed-tuning.

Figure 3

(A) Examples of OGB-1 calcium signals (ΔF/Fo) from four non-cardinal ON-OFF DSGCs in a P13 retina with tuning curves shown at right. Numbers around polar plots are indicating the amplitude of calcium signals (ΔF/Fo).

(B) Direction selectivity index and magnitude of the vector sum of ON DSGCs (top) and ON-OFF DSGCs (bottom) that are aligned (light grey circles, cardinal) or not aligned (dark grey circles, non-cardinal) along the cardinal axes at eye-opening (P13-14, n= 157 cardinal ON DSGCs and n=88 non-cardinal ON DSGCs; n= 330 cardinal ON-OFF DSGCs and n=103 non-cardinal ON-OFF DSGCs from 7 retinas) and after dark-rearing (DR, n=132 cardinal ON DSGCs and n=39 non-cardinal ON DSGCs; n=229 cardinal ON-OFF DSGCs and n=108 non-cardinal ON-OFF DSGCs from 6 retinas). (p>0.05, one-way ANOVA with Tukey post-hoc test). Mean and SD are shown.

(C–D) Direction-selectivity index as a function of the preferred directions of ON DSGCs (left) and ON-OFF DSGCs (right) that are aligned (light grey circles) or not aligned (dark grey circles) along the cardinal axes at P13-14 (n= 245 ON DSGCs and n=433 ON-OFF DSGCs from 7 retinas) and after dark-rearing (n= 171 ON DSGCs and n=337 ON-OFF DSGCs from 6 retinas). Each circle represents one DSGC. Mean and SD are shown.

(E) Preferred directions are stable between two consecutive imaging sessions for non-cardinal ON (red) and ON-OFF DSGCs (blue) at eye-opening (top, n=23 cells from 3 retinas) and after dark-rearing (bottom, n=12 cells from 2 retinas). Pref. dir., preferred direction.

(F–G) Speed tuning of non-cardinal (top) and cardinal (bottom) ON-OFF (blue) and ON (red) DSGCs as assessed by three different bar speeds (left, 0.25 mm/sec.; middle, 0.5 mm/sec.; right, 1 mm/sec.) from adult dark-reared (F) and P13-14 (G) retinas.

(H). Comparison of the speed tuning from cardinal (light grey circles) and non-cardinal (dark grey circles) ON (left) and ON-OFF (right) DSGCs. DSIs were normalized to the value recorded at 0.5 mm/sec in dark-reared (top, n= 37 cardinal ON DSGCs and n=30 non-cardinal ON DSGCs; n= 69 cardinal ON-OFF DSGCs and n=31 non-cardinal ON-OFF DSGCs) and young mice (bottom, n= 19 cardinal ON DSGCs and n=12 non-cardinal ON DSGCs; n= 65 cardinal ON-OFF DSGCs and n=17 non-cardinal ON-OFF DSGCs) (** p<0.01, one-way ANOVA with Tukey Post-hoc test). Mean and SD are shown.

We next investigated if vision causes non-cardinal DSGCs to realign their tuning to a cardinal direction. We repeated our experiments in two transgenic mouse lines – Drd4-GFP [26] and Trhr-GFP [27]– that express GFP in the DSGC subtype that prefers motion only along the nasal direction. To enable simultaneous imaging of GFP and calcium transients, we used a red-calcium dye, Rhod-2 [9, 28] (Figure 4A). We first confirmed in adult retina that the majority of GFP+ cells were ON-OFF DSGCs (~74 % for Drd4 and ~81% for Trhr), a fraction consistent with a previous report based on targeted recordings [27]. We found that the vast majority of these DSGCs preferred directions clustering along the nasal axis (Table S4). Of note, in Trhr-GFP and Drd4-GFP mice, the GFP+ cells constituted 34% (21/62) and 68% (26/38), respectively, of all nasally-tuned DSGCs in adult, indicating that neither line fully represents this subtype of ON-OFF DSGCs. To ensure that we were not undercounting due to dim GFP fluorescence, we compared the cell densities based on retinas immuno-stained for GFP either before or after the electroporation of Rhod-2. We did not observe any significant differences between these three conditions for Drd4 and Trhr lines in P13-14, adult or dark-reared retinas (Table S4).

Figure 4. Clustering of GFP+ DSGCs along the cardinal axes occurs by a process of realignment that depends on visual experience.

Figure 4

(A) Two-photon fluorescent images (left) show the GFP signal (top, green channel) and the calcium dye Rhod-2 signal (bottom, red channel) in the ganglion cell layer of a P14 Drd4-GFP mouse. The three white-circled GFP+ ON-OFF DSGCs produce the shown Rhod-2 calcium responses (ΔF/Fo) (middle) and tuning curves (right). All have the same nasally oriented preferred direction. Numbers around polar plots are indicating the amplitude of calcium signals (ΔF/Fo).

(B) Polar plots and histograms of preferred directions for GFP+ ON-OFF DSGCs from DRD4-GFP mice (left) and TRHR-GFP mice (right) in adult (top), at eye-opening (middle) and after dark-rearing (bottom). Solid black lines of polar plots indicate a vector sum length of 0.5 (See Suppl. Information for definition).

(C) Percentage of GFP+ ON-OFF DSGCs (DRD4-GFP line, left; TRHR-GFP line, right) that are nasally (N, blue), dorsally (D, yellow), ventrally (V, red) tuned or untuned (white) at eye-opening (P13-14), in adult and after dark-rearing. Total number of imaged GFP+ cells is given within bars.

(D) Percentage of nasally-tuned ON-OFF DSGCs (DRD4-GFP line, left; TRHR-GFP line, right) that are GFP+ (grey) or GFP- (white) at eye-opening (P13-14), in adult and after dark-rearing. Total number of imaged nasally-tuned DSGCs is indicated within bars.

(E) Direction selectivity index of cardinal (light grey circle) and non-cardinal (dark-grey circle) ON-OFF DSGCs from DRD4-GFP and TRHR-GFP mice at P13-14 (left) and after dark-rearing (right) (p>0.05, Mann-Whitney t-test). Means and SD are shown. See also Figure S4 and Table S4.

Similar to our results for all DSGCs, these genetically identifiable subtypes of DSGC exhibited a broader distribution of preferred directions at eye-opening and after dark-rearing than in adult (Figures 4B and 4C). Compared to adult retinas, we observed a larger percentage of non-cardinal (i.e. non-nasally tuned) GFP+ neurons at P14 (Drd4 – 12±4%; Trhr – 13±3%; Figure 4C; Table S4) and after dark-rearing (Drd4 – 21±5 %, Trhr – 31±8%, Figure 2C; Table S4). Note, the strength of directional tuning for non-cardinal GFP+ DSGCs did not differ significantly from cardinal GFP+ DSGCs in either transgenic lines (Drd4 and Trhr) (Figure 4E), indicating that the non-cardinal axes tuning is not caused by weaker tuning properties. In addition, we did not observe higher cell densities of the ON and the ON-OFF DSGCs in young or dark-reared retinas compared to adult (Table S1) ruling out the possibility that non-cardinal DSGCs lose their direction selectivity rather than realigning along the cardinal axes.

Last, we tested whether dark-rearing altered the morphology of DSGCs. In mice, dark-rearing changes the dendritic stratification [15, 29] and dendritic branching patterns [30] of non-direction selective RGCs. However in rabbits, dark-reared DSGCs display dendritic features that are similar to normally-reared DSGCs[3]. GFP+ DSGCs is both Trhr and Drd4 mice were filled with a fluorescent dye via a whole-cell pipette and subsequently imaged. We found that dark-rearing did not alter the morphology of DSGC dendritic arborizations (Figure S4).

Together these experiments indicate that visual experience clusters the preferred directions of DSGCs not by narrowing the directional tuning but via visual experience-dependent realignment.

Discussion

We find that although ON and ON-OFF DSGCs are detectable at eye-opening in mice, their preferred directions are not clustered along the cardinal axes as in adult. Moreover, this clustering does not emerge in dark-reared animals. Our findings indicate, for the first time, that visual experience plays a critical role in the development of one aspect of directional selectivity within the mouse retina, namely the clustering of preferred directions along the cardinal axes. Thus visual experience plays a crucial role in shaping receptive field properties in the retina.

Distribution of DSGC preferred directions along the cardinal axes changes over development

In contrast to our results reported here, previous reports from our laboratory that were based on multi-electrode array (MEA) recordings indicated that the cardinal distribution of preferred directions was established at eye-opening [5]. One potentially important difference is that the current study was the use of light stimulation of cones dominated by S-opsin in ventral retina [13, 14] to evoke DSGC responses while our previous study used visible light to stimulate cones dominated by M-opsin in dorsal retina. Since mouse retina exhibits delayed expression of M-opsin immunoreactive cones compared to S-cones [31], MEA may have recorded fewer numbers of DSGCs at eye-opening. In fact, quantifying clustering by applying the k-clustering analysis to our previous MEA data does in fact indicate a lack of clustering at P14 [20]. Hence, our findings here agree with previous studies and with more recent single-cell extracellular recordings from rabbit retina that also indicate a lack of clustering at eye-opening [20].

A second difference with the previous MEA study is that alignment of the preferred directions along the temporal and ventral quadrants were overrepresented [5, 32], a bias that persisted in recordings from V1 at eye-opening [33] but was not seen here (Figure 2; Figure S3). Interestingly, it was recently shown that DSGC preferred directions vary retinotopically (Sabbah, S., Gemmer, J., Castro, G., Siegel, J., Jeffery, N., Berson, D.M. (2015) ON-DS retinal ganglion cells encode global motion in vestibular coordinates. I.O.V.S. 56, ARVO Abstract 5868) hence recordings in dorsal retina may show a different distribution of preferred directions than recordings in ventral retina. Additional work is necessary to determine if this retinotopy of preferred directions is observed for both ON and ON-OFF DSGC subtypes.

Potential activity-dependent mechanisms

How could visual experience alter the distribution of DSGC preferred directions? The predominant model for direction selectivity is that the null axis is determined by the precise wiring of GABAergic starburst amacrine cells (SACs) onto the different subtypes of ON and ON-OFF DSGCs [1]. Hence, refinement of inhibitory connectivity from null-oriented SAC processes to DSGCs may contribute to the clustering of preferred directions along the cardinal axes. Prior to eye-opening, there is an increase in the number of functional inhibitory synapses from the null-oriented SAC processes to DSGCs [7, 16, 17]. In adult, serial EM reconstructions indicate that a given SAC branch, which is activated most strongly by centrifugal motion, preferentially but not exclusively synapses onto one DSGC subtype [34]. Therefore, one possibility is that after dark-rearing, the wiring of SACs to DSGCs is less precise in that a given SAC branch is not as particular and forms many synapses with different DSGCs and thus a given DSGC receives inputs from SAC branches of different orientations. Note in this scenario the tuning width of DSGCs could remain narrow despite the integration of different orientations if tuning were determined by postsynaptic non-linearities, such as dendritic spiking [35].

A second possibility is that visual experience facilitates the maturation of SAC-SAC connectivity. For example, deleting protocadherins in SACs leads to a loss of self-avoidance between SACs [36] and produces a broader distribution of preferred directions for ventrally-tuned DSGCs. Indeed, the connections between closely spaced SACs do undergo an age-dependent decrease. Hence, vision-dependent refinement of SAC-SAC connectivity may play a role in clustering DSGC preferred directions along the cardinal axes.

A third possibility is that visual experience acts to reduce gap junction coupling among DSGCs of different preferred directions. Near eye-opening, there is robust gap junction coupling among different DSGC subtypes [37], while in adult, only the superior-preferring DSGC subtype is coupled [3840] Hence, each DSGC may be tuned to a cardinal axis, but input via a gap junction from a DSGC tuned to a different cardinal direction may cause the final tuning of the DSGC to lie off its cardinal axis. Previous studies indicate that dark-rearing delayed the decoupling process but did not prevent it. Hence, this decoupling is not likely to mediate this effect.

Regardless of the mechanisms that underlie the influence of visual experience, there is a more fundamental question – does visual experience play an instructive or permissive role in the alignment of DSGC preferred directions along cardinal axes? An instructive role is supported by the argument that there is more power in natural scenes along cardinal axes [41, 42] in the sense that the ability to perceive contours that are vertically or horizontally oriented is greater than the ability to perceive oblique angles. However, whether this is the case for mice still remains to be determined [43].

We found that visual deprivation led to a broader distribution of the DSGCs preferred directions than what is found early in development (Figure 2; Figure S2 and Table S2), indicating that dark-rearing may not only be preventing visually-guided maturation but also inducing pathological effects on the retina. However, previous studies indicate that dark-rearing has either a transient impact on RGC properties (reviewed in [44]) or small effect on spatiotemporal properties of RGCs, many other response properties are maintained [45]. Indeed, we find that in dark-reared mice, directional and speed tuning are maintained, indicating limited impact of overall circuit function. Dark-rearing has been implicated in a delay in the maturation of cone-cone bipolar cell synapses [23] which may explain the slightly reduced number of light-responsive cells we observed (Table S1). It has also been implicated in changes in RGC stratification [44]. However, we observed no difference in morphology of DSGCs, in that reconstructed GFP+ DSGCs in adult dark-reared mice (Figure S4) maintain normal bi-stratification of dendritic arbors and a significant dendritic overlap between neighboring homotypic subtypes as is seen in normal-reared mice [27]. Finally, we found that re-exposure to light partially reverses the clustering of DSGCs along the cardinal axes (Figure 2; Table S2) contrary to the existence of a critical period described in V1 ferrets [46].

Supplementary Material

SUPP

Acknowledgments

We are grateful to David Arroyo and Ryan Morrie for technical support and the Feller lab for discussion, RB and MBF were supported by NIH ROI1EY019498, RO1EY013528 and CG was supported by P30EY003176.

Footnotes

AUTHOR CONTRIBUTIONS

R.B. and M.B.F. designed the experiments. R.B. performed all the experiments. R.B. and C.G. performed the analysis of the two-photon calcium imaging experiments and the statistical tests. R.B. and M.B.F. wrote the manuscript.

References

  • 1.Vaney DI, Sivyer B, Taylor WR. Direction selectivity in the retina: symmetry and asymmetry in structure and function. Nat Rev Neurosci. 2012;13:194–208. doi: 10.1038/nrn3165. [DOI] [PubMed] [Google Scholar]
  • 2.Yonehara K, Ishikane H, Sakuta H, Shintani T, Nakamura-Yonehara K, Kamiji NL, Usui S, Noda M. Identification of retinal ganglion cells and their projections involved in central transmission of information about upward and downward image motion. PLoS ONE. 2009;4:e4320. doi: 10.1371/journal.pone.0004320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chan YC, Chiao CC. Effect of visual experience on the maturation of ON-OFF direction selective ganglion cells in the rabbit retina. Vision Res. 2008;48:2466–2475. doi: 10.1016/j.visres.2008.08.010. [DOI] [PubMed] [Google Scholar]
  • 4.Sun L, Han X, He S. Direction-selective circuitry in rat retina develops independently of GABAergic, cholinergic and action potential activity. PLoS ONE. 2011;6:e19477. doi: 10.1371/journal.pone.0019477. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Elstrott J, Anishchenko A, Greschner M, Sher A, Litke AM, Chichilnisky EJ, Feller MB. Direction selectivity in the retina is established independent of visual experience and cholinergic retinal waves. Neuron. 2008;58:499–506. doi: 10.1016/j.neuron.2008.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chen M, Weng S, Deng Q, Xu Z, He S. Physiological properties of direction-selective ganglion cells in early postnatal and adult mouse retina. J Physiol (Lond) 2009;587:819–828. doi: 10.1113/jphysiol.2008.161240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wei W, Hamby AM, Zhou K, Feller MB. Development of asymmetric inhibition underlying direction selectivity in the retina. Nature. 2011;469:402–6. doi: 10.1038/nature09600. Epub 2010 Dec 5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Chen H, Liu X, Tian N. Subtype-Dependent Postnatal Development of Direction- and Orientation-Selective Retinal Ganglion Cells in Mice. J Neurophysiol. 2014 doi: 10.1152/jn.00320.2014. [DOI] [PMC free article] [PubMed]
  • 9.Briggman KL, Euler T. Bulk electroporation and population calcium imaging in the adult mammalian retina. J Neurophysiol. 2011;105:2601–2609. doi: 10.1152/jn.00722.2010. [DOI] [PubMed] [Google Scholar]
  • 10.Vlasits AL, Bos REM, Morrie RD, Fortuny CEC, Flannery JG, Feller MB, Rivlin-Etzion M. Visual Stimulation Switches the Polarity of Excitatory Input to Starburst Amacrine Cells. Neuron. 2014;83:1172–1184. doi: 10.1016/j.neuron.2014.07.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gauvain G, Murphy GJ. Projection-specific characteristics of retinal input to the brain. J Neurosci. 2015;35:6575–6583. doi: 10.1523/JNEUROSCI.4298-14.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Baden T, Berens P, Franke K, Román Rosón M, Bethge M, Euler T. The functional diversity of retinal ganglion cells in the mouse. Nature. 2016;529:345–350. doi: 10.1038/nature16468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Wang YV, Weick M, Demb JB. Spectral and temporal sensitivity of cone-mediated responses in mouse retinal ganglion cells. J Neurosci. 2011;31:7670–7681. doi: 10.1523/JNEUROSCI.0629-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Baden T, Schubert T, Chang L, Wei T, Zaichuk M, Wissinger B, Euler T. A tale of two retinal domains: near-optimal sampling of achromatic contrasts in natural scenes through asymmetric photoreceptor distribution. Neuron. 2013;80:1206–1217. doi: 10.1016/j.neuron.2013.09.030. [DOI] [PubMed] [Google Scholar]
  • 15.Tian N, Copenhagen DR. Visual stimulation is required for refinement of ON and OFF pathways in postnatal retina. Neuron. 2003;39:85–96. doi: 10.1016/s0896-6273(03)00389-1. [DOI] [PubMed] [Google Scholar]
  • 16.Yonehara K, Balint K, Noda M, Nagel G, Bamberg E, Roska B. Spatially asymmetric reorganization of inhibition establishes a motion-sensitive circuit. Nature. 2011;469:407–410. doi: 10.1038/nature09711. [DOI] [PubMed] [Google Scholar]
  • 17.Morrie RD, Feller MB. An Asymmetric Increase in Inhibitory Synapse Number Underlies the Development of a Direction Selective Circuit in the Retina. J Neurosci. 2015;35:9281–9286. doi: 10.1523/JNEUROSCI.0670-15.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Dhande OS, Estevez ME, Quattrochi LE, El-Danaf RN, Nguyen PL, Berson DM, Huberman AD. Genetic dissection of retinal inputs to brainstem nuclei controlling image stabilization. J Neurosci. 2013;33:17797–17813. doi: 10.1523/JNEUROSCI.2778-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Fiscella M, Franke F, Farrow K, Müller J, Roska B, da Silveira RA, Hierlemann A. Visual coding with a population of direction-selective neurons. J Neurophysiol. 2015;114:2485–2499. doi: 10.1152/jn.00919.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chan YC, Chiao CC. The distribution of the preferred directions of the ON-OFF direction selective ganglion cells in the rabbit retina requires refinement after eye opening. Physiol Rep. 2013;1:e00013. doi: 10.1002/phy2.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.ROUSSEEUW PJ. Silhouettes - a Graphical Aid to the Interpretation and Validation of Cluster-Analysis. Journal of Computational and Applied Mathematics. 1987;20:53–65. [Google Scholar]
  • 22.Tian N, Copenhagen DR. Visual deprivation alters development of synaptic function in inner retina after eye opening. Neuron. 2001;32:439–49. doi: 10.1016/s0896-6273(01)00470-6. [DOI] [PubMed] [Google Scholar]
  • 23.Dunn FA, Della Santina L, Parker ED, Wong ROL. Sensory experience shapes the development of the visual system’s first synapse. Neuron. 2013;80:1159–1166. doi: 10.1016/j.neuron.2013.09.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Stryker MP, Sherk H, Leventhal AG, Hirsch HV. Physiological consequences for the cat’s visual cortex of effectively restricting early visual experience with oriented contours. J Neurophysiol. 1978;41:896–909. doi: 10.1152/jn.1978.41.4.896. [DOI] [PubMed] [Google Scholar]
  • 25.Sivyer B, van Wyk M, Vaney DI, Taylor WR. Synaptic inputs and timing underlying the velocity tuning of direction-selective ganglion cells in rabbit retina. J Physiol (Lond) 2010;588:3243–3253. doi: 10.1113/jphysiol.2010.192716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Huberman AD, Wei W, Elstrott J, Stafford BK, Feller MB, Barres BA. Genetic identification of an On-Off direction-selective retinal ganglion cell subtype reveals a layer-specific subcortical map of posterior motion. Neuron. 2009;62:327–334. doi: 10.1016/j.neuron.2009.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Rivlin-Etzion M, Zhou K, Wei W, Elstrott J, Nguyen PL, Barres BA, Huberman AD, Feller MB. Transgenic mice reveal unexpected diversity of on-off direction-selective retinal ganglion cell subtypes and brain structures involved in motion processing. J Neurosci. 2011;31:8760–8769. doi: 10.1523/JNEUROSCI.0564-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Minta A, Kao JP, Tsien RY. Fluorescent indicators for cytosolic calcium based on rhodamine and fluorescein chromophores. J Biol Chem. 1989;264:8171–8178. [PubMed] [Google Scholar]
  • 29.Xu HP, Tian N. Retinal ganglion cell dendrites undergo a visual activity-dependent redistribution after eye opening. J Comp Neurol. 2007;503:244–259. doi: 10.1002/cne.21379. [DOI] [PubMed] [Google Scholar]
  • 30.Xu HP, Sun JH, Tian N. A general principle governs vision-dependent dendritic patterning of retinal ganglion cells. J Comp Neurol. 2014;522:3403–3422. doi: 10.1002/cne.23609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Szel A, Rohlich P, Mieziewska K, Aguirre G, van Veen T. Spatial and temporal differences between the expression of short- and middle-wave sensitive cone pigments in the mouse retina: a developmental study. J Comp Neurol. 1993;331:564–577. doi: 10.1002/cne.903310411. [DOI] [PubMed] [Google Scholar]
  • 32.Yonehara K, Fiscella M, Drinnenberg A, Esposti F, Trenholm S, Krol J, Franke F, Scherf BG, Kusnyerik A, Müller J, et al. Congenital Nystagmus Gene FRMD7 Is Necessary for Establishing a Neuronal Circuit Asymmetry for Direction Selectivity. Neuron. 2016;89:177–193. doi: 10.1016/j.neuron.2015.11.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Rochefort NL, Narushima M, Grienberger C, Marandi N, Hill DN, Konnerth A. Development of direction selectivity in mouse cortical neurons. Neuron. 2011;71:425–432. doi: 10.1016/j.neuron.2011.06.013. [DOI] [PubMed] [Google Scholar]
  • 34.Briggman KL, Helmstaedter M, Denk W. Wiring specificity in the direction-selectivity circuit of the retina. Nature. 2011;471:183–188. doi: 10.1038/nature09818. [DOI] [PubMed] [Google Scholar]
  • 35.Sivyer B, Williams SR. Direction selectivity is computed by active dendritic integration in retinal ganglion cells. Nat Neurosci. 2013;16:1848–1856. doi: 10.1038/nn.3565. [DOI] [PubMed] [Google Scholar]
  • 36.Kostadinov D, Sanes JR. Protocadherin-dependent dendritic self-avoidance regulates neural connectivity and circuit function. Elife. 2015;4 doi: 10.7554/eLife.08964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Xu Z, Zeng Q, Shi X, He S. Changing coupling pattern of The ON-OFF direction-selective ganglion cells in early postnatal mouse retina. Neuroscience. 2013;250:798–808. doi: 10.1016/j.neuroscience.2013.06.013. [DOI] [PubMed] [Google Scholar]
  • 38.Trenholm S, McLaughlin AJ, Schwab DJ, Awatramani GB. Dynamic Tuning of Electrical and Chemical Synaptic Transmission in a Network of Motion Coding Retinal Neurons. J Neurosci. 2013;33:14927–14938. doi: 10.1523/JNEUROSCI.0808-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.DeBoer DJ, Vaney DI. Gap-junction communication between subtypes of direction-selective ganglion cells in the developing retina. J Comp Neurol. 2005;482:85–93. doi: 10.1002/cne.20351. [DOI] [PubMed] [Google Scholar]
  • 40.Weng S, Sun W, He S. Identification of ON-OFF direction-selective ganglion cells in the mouse retina. The Journal of Physiology. 2005;562:915–923. doi: 10.1113/jphysiol.2004.076695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.van der Schaaf A, van Hateren JH. Modelling the power spectra of natural images: statistics and information. Vision Res. 1996;36:2759–2770. doi: 10.1016/0042-6989(96)00002-8. [DOI] [PubMed] [Google Scholar]
  • 42.Girshick AR, Landy MS, Simoncelli EP. Cardinal rules: visual orientation perception reflects knowledge of environmental statistics. Nat Neurosci. 2011;14:926–932. doi: 10.1038/nn.2831. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wallace DJ, Greenberg DS, Sawinski J, Rulla S, Notaro G, Kerr JND. Rats maintain an overhead binocular field at the expense of constant fusion. Nature. 2013;498:65–69. doi: 10.1038/nature12153. [DOI] [PubMed] [Google Scholar]
  • 44.Tian N. Synaptic activity, visual experience and the maturation of retinal synaptic circuitry. J Physiol (Lond) 2008;586:4347–4355. doi: 10.1113/jphysiol.2008.159202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Akimov NP, Rentería RC. Dark rearing alters the normal development of spatiotemporal response properties but not of contrast detection threshold in mouse retinal ganglion cells. Dev Neurobiol. 2014;74:692–706. doi: 10.1002/dneu.22164. [DOI] [PubMed] [Google Scholar]
  • 46.Smith GB, Sederberg A, Elyada YM, Van Hooser SD, Kaschube M, Fitzpatrick D. The development of cortical circuits for motion discrimination. Nat Neurosci. 2015;18:252–261. doi: 10.1038/nn.3921. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUPP

RESOURCES