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. 2024 Feb 16;22(2):e3002506. doi: 10.1371/journal.pbio.3002506

Defining morphologically and genetically distinct GABAergic/cholinergic amacrine cell subtypes in the vertebrate retina

Yan Li 1,2, Shuguang Yu 1,2, Xinling Jia 1, Xiaoying Qiu 1, Jie He 1,*
Editor: Tom Baden3
PMCID: PMC10914270  PMID: 38363811

Abstract

In mammals, retinal direction selectivity originates from GABAergic/cholinergic amacrine cells (ACs) specifically expressing the sox2 gene. However, the cellular diversity of GABAergic/cholinergic ACs of other vertebrate species remains largely unexplored. Here, we identified 2 morphologically and genetically distinct GABAergic/cholinergic AC types in zebrafish, a previously undescribed bhlhe22+ type and a mammalian counterpart sox2+ type. Notably, while sole sox2 disruption removed sox2+ type, the codisruption of bhlhe22 and bhlhe23 was required to remove bhlhe22+ type. Also, both types significantly differed in dendritic arbors, lamination, and soma position. Furthermore, in vivo two-photon calcium imaging and the behavior assay suggested the direction selectivity of both AC types. Nevertheless, the 2 types showed preferential responses to moving bars of different sizes. Thus, our findings provide new cellular diversity and functional characteristics of GABAergic/cholinergic ACs in the vertebrate retina.


In mammals, the ability to detect motion in a particular direction originates from the so-called direction selectivity of retinal starburst amacrine cells, but whether other vertebrate retinas have equivalent cells is unknown. Here, the authors reveal that morphologically, genetically and functionally distinct amacrine cells exist in the zebrafish retina, providing an important data point for understanding the evolution of direction selectivity.

Introduction

In the vertebrate retina, direction-selective retinal ganglion cells (dsRGCs) can respond to moving gratings at preferential directions (PDs) [1,2]. This direction selectivity originates from asymmetric dendritic inhibition of dsRGCs from GABAergic starburst amacrine cells (SACs), which are also cholinergic [3–8]. Isotropic cholinergic excitation and anisotropic GABAergic inhibition from SACs are essential for the direction selectivity of dsRGCs for moving gratings with low contrasts [9]. Thus, coexpression of GABAergic and cholinergic markers represents the neurotransmitter characteristic of SACs. In the mouse retina, SACs comprise ON and OFF subtypes, whose cell bodies are displaced in the RGC layer (GCL) and placed in the inner nuclear layer (INL), respectively [3,10,11]. In the mouse retina, the expression of Sox2 and Fezf1 was required for appropriate cell body positioning of ON subtype SACs [12,13]. The early study of the mouse retina showed that OFF, but not ON, subtype SACs received direct GABAergic inputs from non-SACs. These inputs, involved in centrifugal direction selectivity, suggest different circuit mechanisms underlying directional signal processing by distinct SAC subtypes [14].

GABAergic/cholinergic amacrine cells (ACs) were found in nearly all vertebrates from fish to humans [15–18]. In the mammalian retina, SACs are the only cholinergic retinal cells [19]. However, previous cross-species studies have also implied more than a single cholinergic type in some vertebrate species. The goldfish retina contains 4 populations of anti-choline acetyltransferase (ChAT) immunoreactive neurons, 2 in the INL, and 2 in the GCL, while the zebrafish retina has 4 ChAT-positive laminae in the inner plexiform layer (IPL) [17,18]. In the turtle and chicken retina, 3 populations of cholinergic ACs have been reported [20,21]. However, genetically distinct GABAergic/cholinergic AC types have not been systematically examined in the vertebrate retina.

In the vertebrate retina, ptf1α is a critical factor in specifying ACs [22–24], which are a diverse cell type [25,26]. In zebrafish, ACs have been classified into as many as 29 types according to cell size, soma’s location, and neurite arborization, including narrow-field ACs (15 types), medium-field ACs (5 types), and wide-field ACs (7 types) [27,28]. Nevertheless, the majority of ACs of these types belong to 2 neurotransmitter types, either GABAergic or glycinergic [29]; however, there are a few ACs that release acetylcholine [17], dopamine [30,31], and neuromodulators neuropeptide Y (NPY) [32]. GABAergic ACs are characterized by monostratified dendritic arbors with some overlapping and are born earlier than glycinergic ACs [33–35]. Cholinergic ACs are a subpopulation of GABAergic ACs [4,36]. However, the cellular diversity of cholinergic ACs in the zebrafish remains unexplored.

In this study, combining single-cell transcriptomic data analysis, in situ hybridization, and transgenic fish lines, we identified 2 types of GABAergic/cholinergic ACs, bhlhe22+ type and sox2+ type. Additionally, we performed gene disruption using CRISPR/Cas9 and found that codisruption of bhlhe22 and bhlhe23 could largely eliminate bhlhe22+ type, while disruption of sox2 led to the depletion of sox2+ type. The morphological analysis of 2 AC types showed that they were distinct in dendritic arbor size, dendritic lamination, and soma position. Furthermore, in vivo two-photon calcium imaging suggested directional selectivity for both AC types. Consistently, animals with either AC type ablation exhibited compromised saccade frequencies in response to directional moving gratings by optokinetic reflex (OKR) assay. Interestingly, we also found that lamina-defined ON and OFF sox2+ type switched response polarity and responded to both ON and OFF illumination. Finally, we systematically defined the difference in response properties of 2 AC types in detecting different-sized moving bars and found that compared to sox2+ type, bhlhe22+ type responded more robustly to larger-size objects, better response dynamics to smaller-size objects, and higher direction selectivity to a broader size range. Our study demonstrated the evolutionarily conserved sox2+ AC type as well as a previously undescribed bhlhe22+ AC type, providing the new knowledge of the cellular diversity of GABAergic/cholinergic ACs in the vertebrate retina.

Results

Single-cell RNA-seq reveals 2 transcriptome-defined GABAergic/cholinergic AC types

With an attempt to dissect the diversity of GABAergic/cholinergic ACs, we sought for ACs coexpressing gad1b (GABAergic) and vachta (cholinergic) [37] using single-cell transcriptome data of 72 hours post-fertilization (hpf) zebrafish retina that we obtained previously (S1A Fig) [38]. At 72 hpf, the differentiation of major cell types in the retina is thought to be mostly completed in zebrafish [38]. From the 19 retinal clusters, we identified 5 AC clusters based on coexpression of elval3 and tfap2a (Figs 1A, 1B and S1B; see S1 Data). These 5 AC clusters could be readily differentiated by the expression of marker genes (AC1: sox4a; AC2: gad2; AC3: glyt1; AC4: bhlhe22; AC5: sox2). Notably, 2 AC clusters, AC4 and AC5, were coexpressing gad1b and vachta. Cells in AC4 were expressing transcription factors (TFs), bhlhe22, bhlhe23, and meis2b (bhlhe22+ type), whereas those in AC5 expressed TFs, sox2, and isl1a (sox2+ type; Fig 1B). Note that bhlhe22 was most abundantly expressed in AC4; bhlhe23 was highly expressed in AC4 and bipolar cells (BPs); sox2 was most abundantly expressed in AC5 and moderately expressed in müller cells (MCs); isl1a was highly expressed in AC5, RGCs, some BPs and horizontal cells (S1B–S1D Fig). Furthermore, in situ hybridization of bhlhe22, bhlhe23, sox2, and isl1a together with ChAT immunostaining showed that all these 4 genes were expressed in ACs that were ChAT-positive (Figs 1C–1F, S1F, and S1G). Also, the bodies of bhlhe22+ and bhlhe23+ type were in the INL, whereas sox2+ and isl1a+ type resided in both the INL and GCL (Fig 1C–1F). Together, our analyses identified 2 types of GABAergic/cholinergic ACs, bhlhe22+ type and sox2+ type, in the zebrafish retina.

Fig 1. Single-cell RNA-seq identifies 2 GABAergic/cholinergic AC types.

Fig 1

(A) t-SNE plot showing 5 clusters of ACs (in colors) in single-cell RNA-seq data. (B) Expression pattern of marker genes for each cluster in (A). Marker genes gad1b (GABAergic), vachta (cholinergic), sox2 (AC5), bhlhe22 (AC4), glyt1 (AC3), gad2 (AC2), and sox4a (AC1) are highlighted in red. (C-F) Validation of marker TFs for cluster AC4 (C and D) and AC5 (E and F) using in situ hybridization (magenta) combined with ChAT immunostaining (green) of the 5-dpf zebrafish. Dashed circles, ACs with positive signals. Scale bars, 10 μm. AC, amacrine cell; ChAT, choline acetyltransferase; dpf, days post-fertilization; GCL, ganglion cell layer; INL, inner nuclear layer; IPL, inner plexiform layer; TF, transcription factor.

Genetically marking 2 GABAergic/cholinergic AC types

To genetically mark 2 AC types, we generated 3 transgenic lines that specifically identify neurons expressing bhlhe22, bhlhe23, or sox2 with mNeonGreen or mRuby3 using bacterial artificial chromosome (BAC) recombination (Figs 2A–2D, 2G, 2H, S4A and S4B) [39]. We found that TgBAC(bhlhe22: mNeonGreen) could specifically mark a subset of ChAT+ and Gad65/67+ ACs located in the INL (Fig 2A, 2J and 2L). Together with the in situ result above (Fig 1C), our results indicated that TgBAC(bhlhe22: mNeonGreen) specifically marked bhlhe22+ type in the retina. In addition, TgBAC(bhlhe23: mRuby3) specifically marked bhlhe22+ type (98%) and a number of BPs (Fig 2E and 2F), which is consistent with the result of single-cell transcriptome analysis (S1C Fig). On the other hand, TgBAC(sox2: mNeonGreen) specifically marked a ChAT+ and Gad65/67+ subset of ACs located in the INL and the GCL (Fig 2G, 2K and 2M), which was consistent with single-cell transcriptome data (S1D Fig). We verified that cells marked by this transgenic line were colabeled with a SOX2 antibody using the immunostaining (Fig 2G and 2H). Thus, TgBAC(sox2: mNeonGreen) could specifically mark sox2+ type and MCs. Additionally, in situ hybridization of isl1a combined with SOX2 immunostaining showed that the majority of sox2+ type coexpressed with isl1a (S1H and S1I Fig). Furthermore, TgBAC(sox2:mNeonGreen, bhlhe23:mRuby3) showed that the 2 AC types were distributed in distinct but intermingled patterns (S2C–S2E Fig) and constituted a total of approximately 80% of cholinergic ACs in the retina (S2E Fig). Together, we created the transgenic lines specifically marking bhlhe22+ type and sox2+ type, which constituted a large population of GABAergic/cholinergic ACs in the zebrafish retina.

Fig 2. Genetically marking 2 GABAergic/cholinergic AC types.

Fig 2

(A and B) Representative image (A) of derived transgenic line and schematic (B) of BAC construct design of bhlhe22. (C and D) Representative image (C) of derived transgenic line and schematic (D) of BAC construct design of bhlhe23. (E) Merged image of (A) and (C) after crossing transgenic lines TgBAC(bhlhe22:mNeonGreen) with TgBAC(bhlhe23:mRuby3). (F) Cell composition analysis of bhlhe22 and bhlhe23 labeling cells in (E). Larvae used for composition analysis are from TgBAC(bhlhe22:mNeonGreen,bhlhe23:mRuby3), n = 8. (G) Immunostaining of sox2+ ACs in the transgenic fishline TgBAC(sox2:mNeonGreen). Solid white arrow head indicated colocalization of sox2 transgenic fishline and SOX2 antibody. (H) Schematic of BAC construct design of TgBAC(sox2: mNeonGreen). (I) The bar plot showing that the majority of sox2+ ACs in the transgenic fishline is colocalized with SOX2 antibody. (J and K) Images showing the colabeling of bhlhe22 + type (J, green) and sox2+ type (K, green) with ChAT (magenta) and Gad65/67 (gray). (L and M) Quantification in (J and K). Images above are captured from 5-dpf larval fish. Dashed yellow circles, ACs with positive signals. The data underlying this figure can be found in S3 Data. Scale bars, 10 μm. AC, amacrine cell; BAC, bacterial artificial chromosome; ChAT, choline acetyltransferase; dpf, days post-fertilization; GCL, ganglion cell layer; INL, inner nuclear layer; IPL, inner plexiform layer.

Disruption of distinct sets of TFs influences the generation of 2 AC types

Next, we examined the roles of type-specific TFs (bhlhe22, bhlhe23, and sox2) in specifying 2 AC types by CRISPR/Cas9-mediated gene disruption in the founder generation (F0/G0 mutants) [40] (S2A and S2B Fig). In TgBAC(sox2:mNeonGreen,bhlhe23:mRuby3) F0/G0 mutants, we found that codisruption of bhlhe22 and bhlhe23 led to a significant decrease in the number of bhlhe22+ type (15,556 and 1,728 cells/mm2 of control and bhlhe22/bhlhe23-disrupted group, respectively, p = 0.0014), without the obvious influence on the number of sox2+ type, whereas disruption of either bhlhe22 or bhlhe23 had little influence on the number of bhlhe22+ type and sox2+ type (Fig 3A–3G, 43,016 and 35,309 cells/mm2 of control and bhlhe22/bhlhe23-disrupted group, respectively, p = 0.9031).

Fig 3. The generation of 2 AC types requires distinct sets of TFs.

Fig 3

(A-E) Representative images showing the distributions of 2 GABAergic/cholinergic ACs labeling by TgBAC(sox2: mNeonGreen,bhlhe23:mRuby3) after injection of control sgRNA(A), bhlhe22 sgRNA (B, bhlhe22 disruption), bhlhe23 sgRNA (C, bhlhe23 disruption), bhlhe22/bhlhe23 sgRNA (D, bhlhe22 and bhlhe23 codisruption), sox2 sgRNA (E, sox2 disruption) at 5 dpf. (F) Quantifications of sox2+ type in (A-E). (G) Quantifications of bhlhe22 + type in (A-E). The data underlying this figure can be found in S3 Data. Data are presented as mean ± SD, Mann–Whitney test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001. Scale bars, 10 μm. AC, amacrine cell; dpf, days post-fertilization; GCL, ganglion cell layer; INL, inner nuclear layer; IPL, inner plexiform layer; sgRNA, small guide RNA; TF, transcription factor.

On the other hand, disruption of sox2 resulted in a significant decrease in the number of sox2+ type (1,212 cells/mm2 of sox2-disrupted group, p < 0.001), leaving little change in the number of bhlhe22+ type (Fig 3A–3G, 14,949 cells/mm2 of sox2-disrupted group, p > 0.99). Additionally, the absence of sox2 led to an increase of sox2 expression in MCs without changing the number of MCs, which were identified by glutamine synthetase expression (S3A and S3B Fig). Together, these results indicated that bhlhe22/bhlhe23 and sox2 were responsible for specifying bhlhe22+ type and sox2+ type, respectively.

Blockage in specifying bhlhe22+ type or sox2+ type could not result in the fate respecification between the two, which raised a question as to where these cells go. To explore this, we examined the influence of disrupting bhlhe22/bhlhe23 or sox2 on the proportions of retinal major cell types using Spectrum of Fates (SoFa1) transgenic line [41], which all retinal cell types are differentially labeled by combination of fluorescent proteins. The result did not show any notable change in major retinal cell-type composition at the population level after the disruption of either bhlhe22/bhlhe23 or sox2 (S3C and S3D Fig). However, we could not rule out the possibility that SoFa1 lacked the sensitivity to detect changes of retinal subtypes. Also, cell death could be involved in the loss of 2 AC types after gene disruption.

Two AC types are morphologically distinct

Furthermore, we examined cell morphology by analyzing single photo-converted GABAergic/cholinergic ACs, which were sparsely marked using newly generated lines TgBAC(bhlhe23: gal4, uas:kaede) and TgBAC(sox2:gal4ff,uas:kaede) (S4A and S4B Fig). Despite that both types exhibited symmetric dendritic arbors, the dendrites of bhlhe22+ type were unbranched, and sox2+ AC dendrites were branched in a starburst-like pattern reminiscent of mouse SACs [16]. More strikingly, the dendrites of bhlhe22+ type (ON-laminae subtype: 81.39 ± 20.14 μm in diameter and 3.22 ± 1.98 × 103 μm2 in size, n = 20; OFF-laminae subtype: 94.73 ± 8.08 μm in diameter and 4.24 ± 1.33 × 103 μm2 in size, n = 3) were about 2.9 times larger than that of sox2+ type (ON-laminae subtype: 27.95 ± 4.13 μm in diameter and 0.36 ± 0.09 × 103 μm2 in size, n = 13; OFF-laminae subtype: 31.63 ± 4.67 μm in diameter and 0.42 ± 0.10 × 103 μm2 in size, n = 18) (Figs 4A, 4C, 4D, S4C and S8C) [16,42].

Fig 4. Morphological characteristics of 2 GABAergic/cholinergic AC types.

Fig 4

(A) Representative images showing the dendrites of bhlhe22+ type and sox2+ type. (B) Representative images showing the cell body positioning and dendritic arbors of ON- and OFF-laminae of bhlhe22+ type and sox2+ type. (C and D) Quantification of the dendrite diameters (C) and sizes (D) in (A). Each circle represents one cell at 5 dpf. (E) Quantification of cell fraction of ON- to OFF-laminae in (B). (F) Quantification of the number of cells with cell body located in INL and GCL of bhlhe22+ and sox2+ type. (G) Representative images of bhlhe22+ and sox2+ type after fezf1 disruption. (H) Quantification of the number of ON- and OFF-laminae subtype of sox2+ cells, total sox2+ cells, and total bhlhe22+ cells in (G). Each circle represents one fish at 5 dpf. The data underlying this figure can be found in S3 Data. Scale bars, 10 μm. AC, amacrine cell; dpf, days post-fertilization; GCL, ganglion cell layer; INL, inner nuclear layer; sgRNA, small guide RNA.

Both AC types comprised ON- and OFF-laminae subtypes. Sox2+ type consisted of ON- (s4/s5 lamina) and OFF-laminae (s1 lamina) subtypes, whose cell bodies were in the GCL and INL, respectively, reminiscent of mammalian SACs (Figs 4B, 4E, 4F, S8A and S8B) [13]. A recent study of the mouse retina elegantly showed that fezf1 was required for positioning ON-laminae subtype SACs in the GCL [11]. We then examined the expression of fezf1 in 2 AC types in single-cell transcriptome data and found its specific expression in sox2+ type (S1E Fig). Further genetic disruption of fezf1 resulted in the positioning of the soma of sox2+ type from the GCL to the INL, with an increased number of OFF-laminae sox2+ type in the INLs, a decreased number of ON-laminae sox2+ type in the GCLs but no change in total sox2+ ACs and total bhlhe22+ ACs (Fig 4G and 4H). All these results supported an evolutionary counterpart relationship between zebrafish sox2+ type and mouse SACs (S8 Fig) [11]. In contrast, although bhlhe22+ type comprised ON- (s3/s4 lamina) and OFF-laminae (s1 lamina) subtypes, ON-laminae subtypes’ soma was in the INL rather than being displaced in the GCL (Figs 4B, 4E, 4F, S8A and S8B). Based on the early study of the morphological description of ACs in the zebrafish retina [27], bhlhe22+ type and sox2+ type are likely wide- and narrow-field ACs, respectively.

Thus, 2 GABAergic/cholinergic AC types exhibited distinct morphological characteristics in the dendrite branching, arbor size, and lamination.

A small fraction of 2 AC types showed moderate directional responses

To examine whether 2 AC types exhibited direction selectivity, we performed in vivo two-photon calcium imaging of single bhlhe22+ or sox2+ AC to full-field moving bars at 12 directions (spanning 0° to 360° at 30° intervals) in paralyzed larval fish (5 to 8 days post-fertilization (dpf)) [43]. bhlhe22+ or sox2+ AC was sparsely marked by injecting itol2-14uas: sypb-gcamp6s plasmid into TgBAC(bhlhe22: gal4ff) and TgBAC(sox2:gal4ff), respectively (Fig 5A).

Fig 5. Direction selectivity of 2 GABAergic/cholinergic AC types.

Fig 5

(A) Schematic showing the setup of in vivo two-photon calcium imaging of 5- to 8-dpf TgBAC(sox2: gal4ff,uas:sypb-gcamp6s) and TgBAC(bhlhe22:gal4ff,uas:sypb-gcamp6s) fish. (B) The representative image of TgBAC(bhlhe22: gal4ff,uas:sypb-gcamp6s) fish. Dendrites in the section are segmented in tiling yellow rectangle. A single yellow rectangle is an ROI for calcium response analysis. (C) Donut plot showing the composition of responsive and direction-selective bhlhe22+ ROIs to 50-pixels width moving bar. (D) Responses of a representative ROI of DS bhlhe22+ ROIs in (C). Gray traces, repetitively trials; black traces, average of repetitive trials; blue trace, smoothed data of average trace with gaussian method. (E) Polar plot showing the average response at 12 directions of the ROI in (D). (F) The representative image of TgBAC(sox2: gal4ff,uas:sypb-gcamp6s) fish. (G) Donut plot showing the composition of responsive and direction-selective sox2+ ROIs. (H) Responses of a representative ROI of DS sox2+ ROIs in (G). Green trace, smoothed data of average trace with gaussian method. (I) Polar plot showing the average response in 12 directions of the ROI in (H). (J) Cumulative curve of DSI distribution of responsive sox2+ (green) and bhlhe22+ (blue) ROIs. The dashed line indicates the direction-selective threshold, DSI = 0.5. Kolmogorov–Smirnov test. (K) Violin plot of DSI distribution of all responsive sox2+ and bhlhe22+ ROIs. The gray lines indicate the quartiles, and the red lines indicate the median. (L and M) Behavioral paradigm for the OKR assay. (N) The bar plot showing saccade frequency of bhlhe22+ AC-ablated fish (magenta) and sox2+ AC-ablated fish (green) in response to drifting gratings. Each circle represented one fish at 5–8 dpf. (O) The bar plot showing saccade amplitude of bhlhe22+ AC-ablated fish (magenta) and sox2+ AC-ablated fish (green) in response to drifting gratings. Each circle represented one fish at 5–8 dpf. The data underlying this figure can be found in S3 Data. Data are presented as mean ± 95% CI, Mann–Whitney test, n.s > 0.005, ** p < = 0.005, *** p < 0.001, **** p < 0.0001. AC, amacrine cell; dpf, days post-fertilization; DS, direction selective; DSI, direction selectivity index; OKR, optokinetic reflex; ROI, region of interest; sgRNA, small guide RNA.

We collected a total of 1,208 and 1,163 regions of interests (ROIs; 1.9 × 1.9 μm, local dendrites; ROI selection, see Materials and methods, Fig 5B and 5F) from bhlhe22+ type (27 animals) and sox2+ type (25 animals), respectively. Around 93.6% of bhlhe22+ ROIs and 88.2% of sox2+ ROIs showed qualified responses to moving bars (Fig 5C and 5G). Overall, the ROI response amplitude at local dendrites of sox2+ type was significantly larger than those of bhlhe22+ type (S5C Fig, dF/F0: 0.72 ± 0.58 and 1.33 ± 1.27 for bhlhe22+ type and sox2+ type, respectively; p < 0.0001). To determine direction-selective responses, we calculated direction selectivity index (DSI) based on ROIs’ responses to moving bars at 12 directions. Direction-selective property of local dendrites was then determined based on DSI value (DSI > = 0.5; see Materials and methods). Surprisingly, unlike mouse SACs that uniformly show robust directional responses [44], we found that 7.8% (bhlhe22+ type, n = 94) and 28.8% (sox2+ type, n = 335) of total ROIs showed direction selectivity (Fig 5C and 5G). Direction-selective bhlhe22+ and sox2+ ROIs showed higher responses at PDs than null directions (Fig 5D, 5E, 5H, 5I, S5A and S5B), and the DSI value of pooled direction-selective ROIs (bhlhe22+ and sox2+ ROIs) was statistically higher than those of non-direction-selective ROIs (S5G Fig). Additionally, the responses and PD of direction-selective ROIs of both AC types could occur at all 4 quadrants, although distribution of PD of 2 types of ROIs was different (S5E and S5H Fig). Moreover, the direction tunning capacity (depicted by DSI value) of sox2+ ROIs was significantly higher than bhlhe22+ ROIs (Fig 5J and 5K). However, due to the fact that the small proportion of both AC types showed moderate directional responses, their direction-selective properties are needed to be further determined by other methods in the future.

Genetic ablation of either AC type compromised optokinetic reflex

OKR is a behavior that relies on the activity of retinal direction-selective neurons, such as SACs in the mouse retina [44,45]. To further evaluate the function of 2 AC types in directional selectivity at the behavioral level, we examined the OKR in response to drifting gratings in approximately 7- to 8-dpf larval zebrafish with the ablation of either AC type (Fig 5L and 5M). We ablated bhlhe22+ and sox2+ type by bhlhe22/bhlhe23 double disruption and the nitroreductase/metronidazole system, respectively (S6A and S6B Fig). We determined the optimal parameters of drifting gratings that triggered the OKR (contrast: 1.0; spatial resolution: 0.026 cycle/degree). In response to this optimal stimulation, both bhlhe22+ type- and sox2+ type-ablated zebrafish exhibited a significant reduction in saccade frequency (Fig 5N), suggesting a potential role of both AC types in detecting directionally moving objects. However, the saccade frequency of the zebrafish with the ablation of either bhlhe22 or sox2 was not completely eliminated, which was in consistent with the finding of the small fraction of 2 AC types ROIs with DS characteristics.

To evaluate the influence of ablating other bhlhe22- and sox2-expressing cells in the retina or other brain regions on the OKR defects, we first examined retinal cells and found that the cell ablation had little influence on the numbers of neighboring retinal cells, including MCs (S6C–S6J Fig). Also, we did not observe the expression of bhlhe22 in the brain of TgBAC(bhlhe22: mNeoGreen) but did observe the expression of sox2 in a small portion of neurons in the telencephalon and optic tectum, which was consistent with previous studies [46] (S1–S3 Movies). Furthermore, we found that the saccade amplitude was not significantly affected in cell-ablated animals (Fig 5O and S4–S7 Movies), indicating no motor defect. All these results supported a major contribution of ablating bhlhe22+ or sox2+ type in the retina to OKR defects. However, we could not completely rule out the potential influence of small subpopulations of sox2-expressing neurons in the telencephalon and the optic tectum because neurons in both regions, which showed the activity correlated with the OKR [47].

ON/OFF-responsive AC subtypes show little lamina specificity

On the other hand, we performed in vivo two-photon calcium imaging of single bhlhe22+ or sox2+ ROIs responding to light flash (a red spot) to determine ON and OFF responses. Among 1,145 responsive bhlhe22+ ROIs, 842 were ON- and 303 were OFF-responsive neurons, whereas among 880 responsive sox2+ ROIs, 431 showed ON responses and 449 showed OFF responses (S5I–S5M Fig).

Previous studies proposed that ACs stratified in the outer half (s1-s2) and inner half (s3-s5) of the IPL were associated with OFF and ON responses, respectively [48,49]. We directly examined whether ON and OFF response subtypes (for both AC types) showed lamina specificity. The location of sox2+ soma could be used to determine lamina-defined ON and OFF subtypes. Interestingly, regardless of ON and OFF responses, sox2+ type could project their dendrites at both ON-laminae (s3-s5) and OFF-laminae (s1-s2) in the IPL (S5M Fig). This result suggested that the dendrites of ON and OFF response sox2+ type scarcely showed lamina specificity, arguing for the idea of the assignment of ON and OFF response properties of ACs by the lamina positions of their dendrites, which is also suggested by the work on fish BPs [50] that dendritic stratification does not always correlate to ON and OFF responses in zebrafish.

In addition, we evaluated the response latency of 2 AC types using light-on stimuli as previously described [51]. We analyzed the response latency of all responsive trials (4 repetitive trials for each ROI) based on light flashes. The result showed that the time duration of sox2+ ROIs was not statistically different with that of bhlhe22+ ROIs (1.74 ± 0.50 and 1.79 ± 0.50 seconds; S5D Fig).

Together, sox2+ AC type exhibited little correlation between laminar position and ON/OFF responsiveness at the single-cell level.

Bhlhe22+ type and sox2+ type show preferential responses to different-sized objects

The previous study has showed that the soma of ACs with larger dendritic fields generated larger responses than those with smaller dendritic fields to the same size objects [52], suggesting that larger dendritic arbors gave rise to larger receptive fields, and thereby leading to more robust responses. Thus, the arbor size of ACs provides a reasonable measure to estimate AC’s receptive field. Considering that bhlhe22+ ACs had the significantly larger dendritic arbors compared to sox2+ ACs, we hypothesized that bhlhe22+ ACs had larger receptive field than sox2+ ACs, thereby preferring different sizes of moving objects. In our study, we estimate [53] the receptive field by peak time and rising time (S7C–S7E Fig) of 2 AC types by smoothing data from pooling all the responsive trials (see Materials and methods). The result supported the idea that the receptive field of bhlhe22+ ACs was larger than sox2+ ACs.

To test this, we performed in vivo two-photon calcium imaging of bhlhe22+ type and sox2+ type in response to full-field moving bars at 12 directions (spanning 0° to 360° at 30° intervals) with 2 ranges of bar width (the small size range: 2, 5, 10 pixels; the large size range: 10, 50, 250 pixels, 1°/pixel at visual distance of 0.36 cm, see Materials and methods). Bhlhe22+ type and sox2+ type were marked with GCAMP6s by crossing Tg(uas: Gcamp6s) with TgBAC(bhlhe22:gal4ff) and TgBAC(sox2:gal4ff), respectively (Fig 6A and 6C).

Fig 6. bhlhe22+ and sox2+ type show conversely preference to object size.

Fig 6

(A and B) Representative capture (A) and donut plot (B) showing the responsive cell ratio of bhlhe22+ type to a small (2/5/10) and large (10/50/250) bar widths serial together. (C and D) Representative capture (C) and donut plot (D) showing the responsive cell ratio of sox2+ type to a small (2/5/10) and large (10/50/250) bar widths serial together. Rectangle on the capture showing an ROI of calcium activity analysis. (E and F) Bar plot showing the response amplitude of bhlhe22+ and sox2+ responsive type to small (E, n = 40 and n = 34 of bhlhe22+ and sox2+ type soma, respectively) and large (F, n = 98 and n = 104 of bhlhe22+ and sox2+ type soma, respectively) bar widths serial. Friedman test and subsequent Dunn’s multiple comparisons test within pairing wise groups (3 groups within small or large range). Mann–Whitney test between bhlhe22+ and sox2+ type groups. (G and H) Bar plot showing the responsive cell fraction of bhlhe22+ and sox2+ responsive type from TgBAC(bhlhe22: gal4ff,uas:gcamp6s) and TgBAC(sox2:gal4ff,uas:gcamp6s) to small (G, n = 14 and n = 11 of bhlhe22+ and sox2+ type animal, respectively) and large (H, n = 10 and n = 16 of bhlhe22+ and sox2+ type animal, respectively) bar widths serial. The data underlying this figure can be found in S3 Data. Scale bars, 10 μm. n.s > = 0.05, * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.000.

We analyzed calcium responses in the soma of 394 bhlhe22+ ACs and 523 sox2+ ACs to moving bars at 12 directions with either small or large range of bar width (the small size range, from 2 to 10 width units; the large size range, from 10 to 250 width units; see Materials and methods). In these cells, 35% bhlhe22+ ACs (138 out of 394 cells of 24 animals) and 26.4% sox2+ ACs (138 out of 523 cells of 27 animals) showed the responses (Figs 6B, 6D, S7A and S7B). We first compared the responses of 2 AC types to moving bars of each width from the small to large size range. Notably, sox2+ ACs and bhlhe22+ ACs exhibited the preferential responses to moving bars of different sizes. Specifically, at the width of 2 (the smallest bar size we tested), sox2+ ACs showed higher response amplitude than those of bhlhe22+ ACs (dF/F0: 0.20 ± 0.08 (sox2+ type, n = 34) versus 0.17 ± 0.08 (bhlhe22+ type, n = 40), p = 0.022); at the width of 5, sox2+ ACs and bhlhe22+ ACs showed the statistically indistinguishable response amplitude (dF/F0: 0.22 ± 0.10 (sox2+ type, n = 34) versus 0.24 ± 0.16 (bhlhe22+ type, n = 40)) and responsive cell fraction (Fig 6E and 6G). However, at the width of 10 and larger, bhlhe22+ ACs showed the significantly higher response amplitude than sox2+ type (Fig 6F). Thus, sox2+ ACs showed more robust responses to the smallest size at the width of 2, whereas bhhle22+ ACs showed higher responses to the larger sizes at 10 or more.

Next, we evaluated the ability of either AC type (bhhle22+ type and sox2+ type) in distinguishing different sizes by examining the response change as a function of bar size change. Surprisingly, in response to an increasing width of moving bars throughout the small and large size ranges, bhlhe22+ ACs significantly elevated the response amplitude while increasing responsive cell fraction. In contrast, sox2+ ACs significantly elevated the response amplitude while increasing responsive cell fraction only within the large but not the small size range (Figs 6E–6H, S7A and S7B). Thus, while sox2+ type could distinguish different bar sizes within the large size range (10 to 250), bhlhe22+ type could distinguish the size difference within a broader range, from the small size range to the large size range (2 to 250).

Taken together, 2 AC types showed the differential responses to moving bars of different sizes. sox2+ ACs showed more robust responses at the smallest bar width of 2, and bhlhe22+ ACs showed stronger responses to larger size bars at bar width of 10 and more. In terms of distinguishing different sizes, bhlhe22+ ACs, but not sox2+ ACs, could distinguish different bar sizes within the small size range, although both AC types could distinguish different bar sizes within the large size range.

Discussion

Using single-cell RNA sequencing, we identified 2 types of GABAergic/cholinergic ACs in the zebrafish retina, bhlhe22+ type and sox2+ type. Codisruption of bhlhe22 and bhlhe23 resulted in a loss of bhlhe22+ type, while disruption of sox2 led to a loss of sox2+ type. The 2 AC types exhibited distinct morphological characteristics in terms of dendritic arbor size, dendritic lamination, and soma position. Surprisingly, unlike mouse SACs, only a small fraction of 2 AC types showed moderate directional responses. Further analysis showed that compared to sox2+ type, bhlhe22+ type gave rise to more robust responses to larger-size moving objects.

Across-species comparison of cholinergic ACs

In the mouse retina, there is only one type of direction-selective GABAergic/cholinergic cells, known as SACs, which are expressing sox2 [13]. SACs were also reported in the retina of other mammals, including cat, rabbit, macaque, baboon, and human [54–56]. Although cholinergic ACs are observed in many nonmammalian species, such as chick, turtle, and goldfish, it remains unknown whether they represent nonmammalian counterparts for mammalian SACs. In the current study, we identified a type of cholinergic ACs, sox2+ type. The transcription factor, sox2, was required for its fate specification. sox2+ type exhibited starburst-like branched symmetric dendrites. It comprised 2 subtypes, lamina-defined OFF subtype located in the INL and ON subtype in the GCL. Notably, fezf1 disruption in sox2+ type led to lamina-defined ON subtype in GCL switching to OFF subtype in INL. However, in terms of directional responses, only a portion of sox2+ type showed directional responses, which is different from mouse starburst counterparts [12,57].

On the other hand, the finding of a new cholinergic bhlhe22+ type is intriguing. This new cholinergic type exhibited significantly larger dendritic arbors than sox2+ type. Functional assays further showed that bhlhe22+ type could detect large-size moving objects better than sox2+ type. It raises the possibility that the presence of bhlhe22+ type may provide advantages for fish to survive in the aquatic environment. More interestingly, the previous study in the mouse retina also reported the presence of a subset of ACs that were expressing bhlhe22 but without ChAT expression [58]. However, its function remains unknown. Future functional studies of bhlhe22+ type in the retina of more species, including mammals and nonmammals, can provide deeper insights into the evolution of the cholinergic systems in the vertebrate retina.

Polarity switch of lamina-defined ON and OFF sox2+ type

It is interesting to observe that lamina-defined ON and OFF sox2+ AC subtypes lacked the responses specific to ON and OFF illumination, respectively. A similar phenotype was also reported in the mouse retina, in which lamina-defined ON and OFF SACs could show polarity switch of light-induced responses. This switch was proposed to be the result of presynaptic BPs via surround circuits in the outer retina rather than lateral inhibition in the inner retina [59], which may be also at work for sox2+ type in zebrafish. Alternatively, either ON or OFF sox2+ type could receive inputs from both ON- and OFF-responsive BPs. A recent study showed that some ON BPs could make ectopic synapses in the OFF sublamina [60]. Meanwhile, the lateral inhibition of neighboring ACs was reported to have a role of masking ON responses in OFF-RGCs, and gap junction could decrease this lateral inhibition, thereby resulting in polarity switch of OFF responses [61,62]. Besides, we could not rule out the possibility of the presence of undefined sox2+ AC subtypes. Future single-cell transcriptomic analysis of enriched sox2+ AC populations may provide the answer. In addition, it is also interesting to examine at the single-cell level if lamina-defined bhlhe22+ AC subtypes also lack specific ON or OFF responses. This requires future efforts to solve the technical difficulty of genetically marking lamina-defined ON and OFF bhlhe22+ type.

Dendritic size and object size detection

It is interesting to observe that compared to sox2+ type, bhlhe22+ type with larger dendrites showed the advantage of distinguishing different bars within the small size range but not within the large size range. The first possibility is that larger-sized dendrites are more sensitive to detect size changes than smaller-sized ones. The previous study showed that the soma of ACs with larger dendritic fields generated larger responses than those with smaller dendritic fields to the same size objects [52]. Alternatively, it is possible that the larger dendrites of bhlhe22+ type are more densely tiling in the IPL than sox2+ type. Therefore, bhlhe22+ type within a unitary retina region could receive more upstream inputs from BPs [63,64], and neighboring bhlhe22+ type could also form more extensive crosstalk than sox2+ type via chemical or electrical coupling [65–67]. The more numerous upstream inputs and extensive cell crosstalk could enhance the response of the bhlhe22+ type as a function of bar size. Another possibility may involve the role of glycine regulation of bhlhe22+ type and sox2+ type. The previous study showed that negative regulation of GABAergic inhibition by glycine could increase the edge detection of GABAergic ACs [68]. Thus, bhlhe22+ type with larger dendrites may receive more the glycinergic inhibition than sox2+ type with smaller dendrites resulting in an enhanced detection of different bar sizes within the small size range by bhlhe22+ type. The future investigation of all these possibilities can provide deeper insight into how these 2 newly identified GABAergic/cholinergic ACs in encoding retinal direction selectivity at the circuit level.

Materials and methods

Ethics statement

All animal procedures performed in this study were approved by Biological Research Ethics Committee of Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences with the approval number NA-045-2022. All the animal experiments were conducted based on the trial guideline on review of science and technology ethics, which was jointly released by the Ministry of Science and Technology, the Ministry of Education, the Ministry of Industry and Information Technology, the National Health Commission, and other departments of the People’s Republic of China.

Zebrafish maintenance

Zebrafish were raised and maintained at 28°C, 12/12 hours light/dark cycles. Embryos were harvested and kept in the embryo medium (0.294 g/L NaCl, 0.0127 g/L KCl, 0.0485 g/L CaCl2·2H2O, 0.0813 g/L MgSO4·7H2O, 0.3 g/L sea salt, and 2 × 10−4 g/L methylene blue). Embryos were brought up in the embryo medium added with 0.003% phenylthiourea (PTU, Sigma-Aldrich) from 8 hpf to delay the pigmentation and anaesthetized by 0.04% ethyl 3-aminobenzoate methanesulfonate salt (MS-222, Sigma-Aldrich) before live imaging.

Construct and transgenic lines

To construct 14uas: sypb-Gcamp6s, synaptophysin was cloned by from zebrafish genomic and recombined with plasmid 14uas: Gcamp6s. The published transgenic fishline used are Tg(ptf1a:EGFP) (jh1Tg) [69], Tg(uas:kaede) (s1999tTg) [70], and TgBAC(slc6a9:EGFP) (ion85Tg) [71]. Tg(uas:Gcamp6s) (nkUAShspzGCaMP6s13aTg) [72] was a gift from Dr. Jiulin Du. Sofa 1(cu2Tg; jh1Tg; q20Tg) transgenic fish is a gift from Dr. Harris [41]. The plasmid UAS:nfsB-mCherry was a gift from Dr. Toshio Ohshima (Waseda University, Tokyo, Japan) [73]. Tg(uas:nfsB-mCherry)(ion17hTg) was generated in lab. Transgenic lines were generated by BAC plasmid injection at one-cell stage. BAC plasmids (30 ng/μl) were coinjected with tol2 mRNA (50 ng/μl). To generate TgBAC(bhlhe22:mNeonGreen) (ion10hTg), TgBAC(bhlhe22:gal4ff) (ion11hTg), TgBAC(bhlhe23:mNeonGreen) (ion12hTg), TgBAC(bhlhe23:mRuby3) (ion13hTg), TgBAC(bhlhe23:gal4) (ion14hTg), TgBAC(sox2:mNeonGreen) (ion15hTg), and TgBAC(sox2:gal4ff) (ion16hTg), original BAC clones CH211-277B21 (bhlhe22), CH211-237C5 (bhlhe23), and CH73-242D14 (sox2) were obtained from the BACPAC Resources Center and modified as the procedures described previously [39,74]. Primers used are listed in S2 Data.

BAC construct recombination

The plasmids of PIGCN21-mNeonGreen-PA-frt-neo-frt and PIGCN21-gal4ff-PA-frt-neo-frt were constructed as DNA templates for BAC plasmid recombination. The cassette gal4ff-PA-frt-neo-frt or mNeonGreen-PA-frt-neo-frt was amplified from the plasmids with the primers (S2 Data) containing the homolog arms of bhlhe22 or sox2. The plasmid PIGCN21-bhlhe23Arms-gal4-PA-frt-neo-frt, PIGCN21-bhlhe23Arms-mNeonGreen-PA-frt-neo-frt, and PIGCN21-bhlhe23Arms-mRuby3-PA-frt-neo-frt were constructed by multiple DNA fragments homologous recombination (Vazyme, China). A DNA fragment (1,470 bp) was amplified from the upstream of the start codon of the bhlhe23 gene in CH211-237C5 and inserted into the upstream of the start codon of gal4 or mRuby3 as the left homolog arm (bhlhe23armL) in PIGCN21 vector. And, a DNA fragment (678 bp) was amplified from the downstream of the stop codon of bhlhe23 and inserted into the downstream of frt-neo-frt as the right homolog arm (bhlhe23armR). The cassettes bhlhe23armL-gal4-PA-frt-neo-frt-bhlhe23armR, bhlhe23armL-mNeonGreen-PA-frt-neo-frt-bhlhe23armR, and bhlhe23armL-mRuby3-PA-frt-neo-frt-bhlhe23armR were amplified from the plasmids for BAC plasmid recombination. First, the iTol2-amp cassette was amplified from the piTol2-Amp plasmid and inserted into the original BAC clones by homologous recombination. The DNA fragment amplified from PIGCN21 plasmids was then recombined to replace the coding region of genes at the iTol2-amp BAC DNA in the sw105 bacterial strain. The neo selection marker was cut off by 0.1% L-arabinose (Sigma-Aldrich) at 32°C for 1 hour.

Single-cell sequencing data analysis

Single-cell FASTQ raw data of 72-hpf retina was obtained from the previous study [38]. The raw data were converted to digital gene expression matrices after being mapped to the zebrafish genome (Zv10) using the Cell Ranger Single Cell Software Suite (version 2.1.0, 10×Genomics). For the first-round analysis, the Seurat R package (version 3.0) was applied [75]. Cells with less than 200 genes were filtered out. To ensure the clustering unbiasedly, cell-cycle-related genes were regressed. According to marker genes (S1 Data) of major cell types in the retina, total 19 clusters were identified. Then, all 5 clusters of ACs were selected for the further analysis. All differentially expressed genes in each AC cluster were identified. By the coexpression of cholinergic marker (slc18a3a) and GABAergic cell marker (gad1b), GABAergic/cholinergic ACs were defined. Ontology analysis was performed using R packages (clusterProfiler) and its related R packages.

CRISPR-Cas9-based gene disruption

CRISPR-Cas9 system was applied to examine the function of the marker genes identified from the scRNA-seq data. Five genes, bhlhe22, bhlhe23, sox2, isl1a, and fezf1, were selected for further study. Four specific small guide RNA (sgRNA) sequences (S2 Data) of each gene were designed based on the coding sequences using the online tool CRISPRscan [76]. Four scrambled sgRNAs described in the previous study were used as control sgRNAs [40]. The plasmid pSQT1313(Addgene) containing the guide RNA scaffold was used as DNA template for the synthesis of guide RNA. A forward primer containing the T7 promoter, a gene-specific guide sequence, and a reverse primer on the guide RNA scaffold sequence were used to get PCR products for sgRNA transcription. The products were then transcribed to sgRNAs using T7 MEGAscript (Invitrogen). All sgRNAs were stored at −80°C. Four sgRNAs for each gene were mixed (200 ng/μl) with Cas9 protein (400 ng/μl) (novoprotein) in RNase-free H2O right prior to the injection as described previously [40]. For bhlhe23/bhlhe22 double knockout, 8 sgRNAs were mixed (final concentration of 200 ng/μl) with Cas9 protein (400 ng/μl) in H2O.

Tissue preparation and immunostaining

Embryos were harvested at 5 dpf. All samples were fixed in 4% paraformaldehyde (PFA, Sigma-Aldrich) immediately after they were anesthetized with 0.4% MS222 at 4°C for about 8 hours. Samples were then cryoprotected in 30% sucrose for 6 hours, fresh-frozen, and cryosectioned at a thickness of 12 μm. Immunohistology details were described previously [5,6]. Sections were permeabilized in 1×PBS with 0.5% Triton X-100 for 30 minutes. After that, they were incubated with Quick Antigen Retrieval Solution for Frozen Sections (Beyotime, China) for 5 minutes and washed with Immunol Staining Wash Buffer (Beyotime, China). Then, they were blocked with 5% BSA solution (Sigma) at room temperature for 1 hour. Sections were incubated with the primary antibody at 4°C overnight. The following day, sections were incubated with Alexa Fluor 488-, 568-, 594-, or 647-conjugated secondary antibodies. (1:1,000, Alexa Fluor 488 Donkey Anti-Goat IgG (H+L), Jackson ImmunoResearch, Cat#705-546-147; Alexa Fluor 568 Donkey anti-Goat IgG (H+L) Cross-Adsorbed Secondary Antibody, Invitrogen, Cat#A-11057; Alexa Fluor 594 Goat Anti-Rabbit IgG (H+L), Jackson ImmunoResearch, Cat#111-585-003; Alexa Fluor 647 Donkey Anti-Rabbit IgG (H+L), Jackson ImmunoResearch, Cat#711-605-152; Alexa Fluor 647 Donkey Anti-Goat IgG(H+L), Abcam, Cat# ab150131) at room temperature for 2 hours after washing out. For double immunostaining, sections were then blocked again after washing out of the secondary antibody. Then, the second primary antibodies were applied to sections and incubated at 4°C overnight. Primary antibodies anti-ChAT antibody (1:100, host species: Goat, Cat#AB144P, lot number: 2464504, Merck), anti-GAD65/GAD67 antibody (1:200, host species: Rabbit, Cat#AB11070, Abcam), and anti-sox2 antibody (1:200, host species: Rabbit, Cat#AB5603, Millipore) were used to detect cholinergic cells, GABAergic cells, and sox2-expressing cells, respectively.

Riboprobe synthesis

Fluorescent in situ hybridization was performed to verify 4 specific markers (bhlhe22, bhlhe23, sox2, and isl1a) of GABAergic/cholinergic ACs. To prepare for RNA probe synthesis, total messenger RNA (mRNA) was extracted from the 3-dpf larvae by Trizol (Invitrogen). The total RNA was then reverse transcribed into complementary DNA (cDNA, TransGen,China). The cDNA was used as DNA template. A reverse primer (S2 Data) containing T7 promoter was used to obtain PCR products. After verifying the sequence of PCR products, they were then transcribed into antisense RNA probes via T7 RNA Polymerase kit (Promega) and RNA Labeling kit (Roche). Synthesized RNA probes are DIG-bhlhe23, DIG-sox2, DIG-isl1a, and FITC-bhlhe22 riboprobes.

Fluorescent in situ hybridization

Samples were harvested at 5 dpf and fixed in 4% PFA at 4°C overnight followed by the dehydration 30% sucrose. Thickness of frozen sections was 12 μm. To detect the riboprobe, antibody anti-DIG-POD (1:500, Roche, Cat#11207733910) or anti-FITC-POD (1:500, Roche, Cat#11426346910) was incubated at 4°C overnight followed by TSA detection (PerkinElmer). Dilute TSA plus stock solution 1:100 in 1×amplification diluent to make TSA plus working solution. The fluorescence in situ hybridization was performed as described [74]. To check cell identity of riboprobe labeling cells, immunostaining was proceeded following TSA detection.

Confocal image acquisition

Images were taken by an inverted confocal microscope system (FV1200, Olympus) using 60 × w/1.2 NA and 60 × s/1.3 NA objectives. All quantification and visualization were performed using FV10-ASW 4.2a Viewer (Olympus) and ImageJ (SPM12; http://www.fil.ion.ucl.ac.uk/spm/).

Single-cell morphology analysis

Single GABAergic/cholinergic AC was selected from sparsely labelled TgBAC(bhlhe23: gal4,uas:kaede) or TgBAC(sox2:gal4ff,uas:kaede). It was photo-converted from kaede-green to kaede-red with the 405-nm laser. After 24 hours post-photoconversion, z-stack of images was acquired. To measure the dendritic size of cell, the x and y dimension of images were resized equivalently to z dimension (0.5 μm) using ImageJ. Using tools of 3D projection and TransformJ in the software, the dendritic area in 2 dimensions was defined and measured.

Visual stimuli

Visual stimuli were generated using the Matlab and psycho-toolbox (version 3.0.16). This script elicited approximately 5-volt pluses through a line printer terminal (LPT) from the computer to synchronize the visual stimuli with Fluoview 1000. For the OKR behavioral test, larvae were adapted to the new environment for about 5 minutes before recording. The shift grating, at maximum contrast (1.0) and optimized spatial resolutions (0.026 cycle/degree), was projected to the screen (E Color 216 Full White Diffusion Gel Sheet, Rosco) on the cylinder. Grating was projected to the screen on the cylinder. With binocular full field stimuli (speed: 16.3 cm/s), the visual distance to cylinder was 1.5 cm. For in vivo two-photon calcium imaging, moving bars (bar width: 50 pixels, visual angle: 50° given the visual distance of 0.36 cm, velocity: 1.63 cm/s, full-field screen illumination) of 12 directions (0°: leftward motion across all samples; ones between 0 and 360 degrees at an interval of 30 degrees; presented in a random order) were generated in every single trials, and each experiment included 4 trials. For object size preferential test, moving bars in the small range (bar width: 2, 5, and 10 pixels, visual angle: 1°/pixel given visual distance of 0.36 cm) and the large range (bar width: 10, 50, and 250 pixels, visual angle: 1°/pixel given visual distance of 0.36 cm) in a full-field screen were applied. Four trials of each bar width at each direction were given as repetitive stimulus. An adaption time (time window for calcium response decaying) of 20 seconds was set between 2 visual stimuli epoch. For ON and OFF light response, a full-field light spot was projected to the screen for 3 seconds. An adaption time of 20 seconds was set between 2 light flashes with black background.

In vivo two-photon calcium imaging

Calcium activity recording was performed with a 25×/1.05 NA water-immersion objective using an Olympus Fluoview 1000 two-photon microscope (Tokyo, Japan). Excitation was provided by a Chameleon laser (Coherent) tuned to 930 nm. Time-series of visually evoked calcium responses in bhlhe22+ and sox2+ ACs were acquired at a rate of approximately 4.0 to 4.8 Hz and 0.636 × 0.636 μm/pixel resolution (image size: 96 × 92 pixels). Plasmid 14uas: sypb-Gcamp6s was injected to TgBAC(bhlhe22: gal4ff) and TgBAC(sox2: gal4ff) to obtain sparsely labeling of single cell. Larvae were brought up in 0.003% phenylthiourea from 8 hpf to 5 to 8 dpf before imaging. They were first paralyzed by α-bungarotoxin (Tocris, 1 mg/mL) and mounted dorsal up by 2.5% low melting agarose. Larvae were placed in an imaging dish and immersed with embryo medium after the agarose was solidified. Imaging dish was placed on a 7.0×12.4 cm liquid crystal display (LCD) screen projected with moving bar. The screen was covered by red diffusive filters (manufacturer: shunyuan, wavelength: approximately 600 to 780 nm, transmission efficiency: 7.01%, black background:0.017 cd/m2, visual stimuli: 10.567 cd/m2) to alleviate the background light from screen. Vertical distance from larvae lens to the screen was 0.5 mm (visual angle: 178° × 179°). To ensure the retina to adapt the black background, laser scanning of 60 seconds was inserted before the initiation of visual stimuli.

Functional analysis

The image processing of calcium responses was conducted as previously described [43]. Iterative Grubbs’ test (alpha = 0.01%, GraphPad Prism) was applied to remove the outliers of data in statistics. Images were processed with ImageJ. Three ROIs of blank area were selected for background subtraction. For calcium responses detected by 14uas: sypb-gcamp6s plasmid, segmented all local dendrites with tiling ROIs (0.19 × 0.19 μm) in the image from each cell of bhlhe22+ and sox2+ type for further analysis. The F value was calculated by grayscale mean values of each ROI. Approximately 3.5 seconds of adaption period (20 seconds) before visual stimuli was selected as baseline epoch (averaged grayscale value: F0) of each ROI, and dF/F0 (dF = F–F0) was then calculated at each time point. A visual response was identified when it meets following 3 conditions: (1) the dF in the epoch of stimuli was greater than 5×SD of the baseline; (2) the occurrence should be more than 2 times out of 4 repeated trials; and (3) according to the previous study in the zebrafish retina [43], outliers of trials were removed by threshold of dF = 5×SDs in our study, and variance of dF in visual stimuli epoch of trials exceed 4×SDs was removed as outliers. Average value of trials after removing outliers was calculated, and it was the final raw response of each ROI. Peak amplitude during visual stimuli of final raw response was set as the representative response (dF/F0) of the ROI. The raw response was normalized to ∑(dFF0)i, where i is 1 to 12, corresponding to 12 directions spanning 0° to 330° at 30° interval. r is the normalized response, and the preferred direction was the direction of vector sum: ∑ri→ [77,78]. DSI was calculated as follows:

DSI=Pref−NullPref+Null

where Pref is the larger raw response dF/F0 in the stimulus direction close to the preferred direction, and null is the response in the opposite stimulus direction. Direction selectivity threshold is DSI > = 0.5 [43].

For calcium responses detected by Tg(uas: Gcamp6s), individual soma of bhlhe22+ and sox2+ ACs was selected as a ROI for further analysis. The last 5 seconds of the adaption period (20 seconds) in each epoch was set as the baseline (averaged grayscale value: F0) of each ROI, and dF/(F0+offset) (dF = F − F0) was then calculated at each time point. Maximum value of averaged amplitude of trials in the epoch of visual stimuli was set as the response amplitude.

Peak time and rising time

Responsive trials in all bar sizes were pooled to evaluate the peak time and rising time of the 2 types of cells. These epoch data were smoothed by gaussian method (in window 25) using Matlab. With the smoothed dataset, 20% dF/F0 of maximum amplitude time point was set as the timing when the stimuli entered the receptive field of cells as previously described [53]. Nevertheless, if this time point was not in the visual stimuli, these trials were excluded from the pool. Peak time point was the time point when the response reached to maximum amplitude in the stimuli epoch, and the rising time was the duration from 20% dF/F0 of maximum amplitude to 100%.

bhlhe22+ ACs and sox2+ ACs ablation

For bhlhe22+ ACs ablation, 8 sgRNAs of bhlhe22 and bhlhe23 were mixed and coinjected with Cas9 protein into embryos of TgBAC(bhlhe23: mNeonGreen) at one-cell stage. The control group of TgBAC(bhlhe23: mNeonGreen) was coinjected with control sgRNAs and Cas9 protein. bhlhe22+ ACs thoroughly removed ones were selected for the behavior test. Selected larvae zebrafish were continuing reared in the incubator until approximately 7 to 8 dpf before behavioral recording. Nitroreductases (nfsB)–metronidazole (MTZ) system was applied to specifically ablate sox2+ ACs. Cells expressing nfsB protein were killed with MTZ treatment [79]. MTZ (Sigma-Aldrich) was freshly prepared and stored at 20 mM in the embryo medium in the dark. Firstly, TgBAC(sox2: gal4ff,uas:nfsB-mCherry) zebrafish were screened according to the mCherry expression patterns in the retina at 4 dpf. The most densely labelled ones were selected for further MTZ treatment. MTZ was then immediately added into the embryo medium at the working concentration of 5 mM. Meanwhile, the control group was not added with MTZ, and zebrafish of TgBAC(sox2: gal4ff,uas:nfsB-mCherry) were simply cultured in the embryo medium. From 4 to 6 dpf, they were treated with the drug, followed by being reared in the incubator with the normal light/dark cycles. MTZ was refreshed twice a day. At 6 dpf, the drug was washed out and replaced with the fresh embryo medium, and both groups were recovered for 24 hours before behavioral tests. For quantification, a tangential two-dimensional area of 30 × 100 μm was selected from a frame of whole mount and frozen section of Tg(ptf1a: EGFP) and TgBAC(sox2:gal4ff,uas:nfsB-mCherry) retina, respectively.

Optokinetic reflex recording apparatus setup

The imaging chamber was a specifically designed cylinder, which upheld larvae in the middle part. Visual stimuli were generated using the matlab template script. This script was able to elicit approximately 5 V through LPT from computer to camera (CoolSNAP KINO, photometrics) to give the external trigger for recording with the micromanager software (ImageJ). By this way, when visual stimuli were generated, the camera connected to the computer was triggered to initiate the recording synchronously. The sampling of the OKR recording was 30 frames/second.

Optokinetic reflex recording sample preparation

Larvae zebrafish for the OKR behavioral test were cultured in standard protocol. They were embedded in 0.8% agarose without anesthesia. After the agarose was solidified, agarose around rostrum and eyes was removed immediately, but cautiously leaving the other part of body embedded. Agarose with larvae were then immersed in the embryo medium on a glass slide of the imaging chamber.

Optokinetic reflex recording analysis

When the video was generated with images recorded by ImageJ (version: 1.48v), visual angles of eyes moving with shift grating were tracked using OKR track Matlab codes [80]. Based on the analysis method in this study, there are 3 steps for analyzing the OKR performance. Step 1: Plot the trajectory and label peaks of the saccade. Step 2: Count the saccade number manually using tables generated in step 1. Step 3: Summarize all the data and do statistic. N: saccade number, T: 40 seconds (there are 5 seconds of blank control before and after grating). Dt: visual degree in the rough of a saccade, Dp: visual degree in the peak of the saccade.

Saccadefrequency=N/T
Saccadeamplitude=|Dt−Dp|

The mean of all saccade amplitude of 2 eyes was calculated as the individual saccade amplitude of a sample.

Image analysis and quantification

For live samples, the cells in a volume of 80 × 90 × 10 μm3 (height × width × z stack) region were quantified. For fixed samples, the cells in an area of 100 × 100 μm2 (height × width) were quantified. Mann–Whitney test was used, and data were presented as mean ± SD. GraphPad 7.0 and Matlab R2018b are used to analyze the data.

The total numbers of cells counted for each animal used for the statistical quantification have been summarized in S3 Data.

Supporting information

S1 Fig. Single-cell transcriptome analysis identifies 2 GABAergic/cholinergic AC types.

(A) t-SNE plot showing 19 clusters of the zebrafish retina (72 hpf). Each cluster is identified as one cell type according to highly expressed cluster-specific marker genes. (B) t-SNE feature plot showing elval3 and tfap2a expression level in 19 clusters of the zebrafish retina. (C) t-SNE feature plot showing bhlhe22 and bhlhe23 expression level. (D) t-SNE feature plot showing sox2 and isl1a expression level. (E) t-SNE feature plot showing fezf1 and tenm3 expression level. (F) The validation of riboprobe sequences for marker TFs of cluster AC4 (bhlhe22 and bhlhe23) and AC5 (sox2 and isl1a). (G) Expression patterns of riboprobes in (F) using in situ hybridization (magenta) combined with ChAT immunostaining (green) of the 5-dpf zebrafish. (H) Validation of cluster AC5 marker isl1a (magenta) using in situ hybridization combined with SOX2 (green) immunostaining. (I) Cell fraction composition analysis of sox2+ cells in (H). Solid white arrow head indicated sox2+ isl1a+ cells. The data underlying this figure can be found in S3 Data. Scale bars, 10 μm. AC, amacrine cell; ChAT, choline acetyltransferase; dAC, displaced amacrine cell; dpf, days post-fertilization; GCL, ganglion cell layer; IPL, inner plexiform layer; TF, transcription factor.

(PDF)

pbio.3002506.s001.pdf (4.7MB, pdf)
S2 Fig. Efficiency verification of gene disruption and fate specification between 2 GABAergic/cholinergic AC types.

(A) Statistics of bhlhe22, bhlhe23, and sox2 disruption efficiency and gene disruption pattern through 4 CRISPR/Cas9 ribonucleoprotein complexes injection in founder embryos. (B) Examples of 10 alleles around 4 targeted sites of ORF of bhlhe22, bhlhe23, and sox2. First line is the WT sequence. Blue rectangle, sgRNA-targeted sites; red rectangle, mismatches. (C) Representative images showing ChAT immunostaining pattern of TgBAC(sox2: mNeonGreen,bhlhe23:mRuby3) of wild-type (up) and sox2 disrupted (middle) larval fish, and representative images showing SOX2 and ChAT immunostaining pattern of TgBAC(bhlhe23: mNeonGreen) after bhlhe22 and bhlhe23 codisrupted (bottom). Hollow white arrow head indicated ChAT+ sox2+ cells and solid white arrow head indicated ChAT+ bhlhe22+ cells. (D) Bar plot showing cell density of 3 types of cholinergic cells (ChAT+ cells) in (C). (E) Bar plot showing cholinergic cell composition of 3 groups in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean ± SD, Mann–Whitney test. *** p <0.001, **** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; ChAT, choline acetyltransferase; ORF, open reading frame; sgRNA, small guide RNA; WT, wild type.

(PDF)

pbio.3002506.s002.pdf (9.6MB, pdf)
S3 Fig. Fate specification to other retinal cell types of 2 GABAergic/cholinergic AC types after gene disruption.

(A) Representative images showing patterns of sox2+ ACs, sox2+ MCs and GS+ MCs after disruption of sox2 in TgBAC(glyt1: EGFP). (B) Quantification in (A). (C) Representative images showing Sofa1 fish (generated by crossing Atoh7: gapRFP, Ptf1a: cytGFP, and Crx:gapCFP) patterns after disruption of sox2 and bhlhe22/bhlhe23. (D) Cell fraction composition of major retinal cell types of 3 groups in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean ± SD, Mann–Whitney test. * 0.01 < = p <0.05,**** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; BC, bipolar cell; dAC, displaced amacrine cell; GCL, ganglion cell layer; HC, horizontal cell; IPL, inner plexiform layer; MC, müller cell; RGC, retinal ganglion cell; PR, photoreceptor cell; sgRNA, small guide RNA.

(PDF)

pbio.3002506.s003.pdf (9.2MB, pdf)
S4 Fig. Morphology of individual bhlhe22+ and sox2+ AC.

(A) Schematic design (up) of TgBAC(bhlhe23: gal4,uas:kaede) and the representative image (down). (B) Schematic design (up) of TgBAC(sox2: gal4ff,uas:kaede) and the representative images (down). (C) Representative images showing the ON and OFF subtype dendritic morphology of bhlhe22+ and sox2+ ACs. Images are captured from larval fish of 4 to 5 dpf. Scale bars, 10 μm.

(PDF)

pbio.3002506.s004.pdf (2.4MB, pdf)
S5 Fig. Response patterns to light ON and OFF.

(A) Heatmap showing the response of all DS bhlhe22+ ROIs in (Fig 5C). (B) Heatmap showing the response of all DS sox2+ ROIs in (Fig 5G). (C) Violin plot showing peak amplitude of sox2+ and bhlhe22+ responsive ROIs to moving bar. The gray lines indicate the quartiles, and the red lines indicate the median. Mann–Whitney test. **** p <0.0001. (D) Violin plot showing response latency of light on response of sox2+ and bhlhe22+ responsive trials. Mann–Whitney test. (E) Polar plot of distribution of DSI and PD of bhlhe22+ and sox2+ DS ROIs. Scale bar, DSI value = 0.5. (F) Bar plot of responses of DS bhlhe22+ and sox2+ ROIs in Fig 5C and 5G. Data are shown in mean ± SD. Mann–Whitney test. (G) Violin plot showing DSI of DS and non-DS ROIs in Fig 5C and 5G. Mann–Whitney test. (H) Histogram polar plot of PD distribution of DS ROIs of 2 types of cells. Scale bar, ROI number = 50. Cumulative frequency comparison with Kolmogorov–Smirnov test. (I and J) Heatmap of response to light on (I, ON Res.) and off (J, OFF Res.) of bhlhe22+ ROIs. The schematic showing visual stimuli paradigm of full-field screen spot was on top of heatmap. (K and L) Heatmap of response to light on (K, ON Res.) and off (L, OFF Res.) of sox2+ ROIs. (M) Statistics of response patterns in (I to L). The data underlying this figure can be found in S3 Data. DS, direction selective; DSI, direction selectivity index; PD, preferential direction; ROI, region of interest.

(PDF)

pbio.3002506.s005.pdf (1.5MB, pdf)
S6 Fig. Cell numbers of other cell types in the retina after the ablation of either type of GABAergic/cholinergic ACs.

(A) Workflow(upper) and representative images (bottom) showing the OKR assay of bhlhe22+ ACs-ablated zebrafish. (B) Workflow (upper) and representative images (bottom) showing the OKR assay of sox2+ AC-ablated zebrafish. (C and D) Representative image (C) and quantification (D) of a section (30 × 100 μm) of whole-mount Tg(ptf1a: EGFP) retina with bhlhe22/bhlhe23 codisruption to ablate bhlhe22+ ACs. Cell number and types were defined by cell body location in layers. (E and F) Representative image (E) and quantification (F) a frozen section of (30 × 100 μm) TgBAC(sox2: gal4ff, uas:nfsB-mCherry) retina with MTZ to ablate sox2+ ACs. Cell number and types were defined by cell body location in layers. (G and H) Representative image labeling with MCs marker anti-GS (G) and quantification (H) of a frozen section of (100 × 100 μm) wild-type with bhlhe22/bhlhe23 codisruption to ablate bhlhe22+ ACs. (I and J) Representative image (I) and quantification (J) of a frozen section of (100 × 100 μm) TgBAC(sox2:gal4ff,uas:nfsB-mCherry) labeling with GS after MTZ treatment. The data underlying this figure can be found in S3 Data. Data are collected from 5 to 8 dpf the larval zebrafish, presented as mean ± SD, Mann–Whitney test. **** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; BP, bipolar cell; GCL, ganglion cell layer; HC, horizontal cell; INL, inner nuclear layer; IPL, inner plexiform layer; MC, müller cell; MTZ, metronidazole; OKR, optokinetic reflex; PR, photoreceptor cell; RGC, retinal ganglion cell; sgRNA, small guide RNA.

(PDF)

pbio.3002506.s006.pdf (3.8MB, pdf)
S7 Fig. Response patterns of responsive bhlhe22+ and sox2+ type cells.

(A and B) Heatmap showing the response pattern of all responsive bhlhe22+(A) and sox2+(B) ACs in Fig 6E and 6F. (C) Schematic of a smoothed responsive trial for peak time and rising time. (D) Bar plot showing peak time of all smoothed responsive trials of 2 types of ACs as described in (C). (E) Bar plot showing rising time of all smoothed responsive trials of 2 types of ACs as described in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean and SD. Mann–Whitney test. **** p < 0.0001.

(PDF)

pbio.3002506.s007.pdf (11MB, pdf)
S8 Fig. Schematic of GABAergic/cholinergic ACs.

(A and B) Schematic showing cell-body positioning of zebrafish GABAergic/cholinergic ACs (A) and mouse SACs (B). (C and D) Schematic showing dendritic arborization in zebrafish GABAergic/cholinergic ACs (C) and mouse SACs (D).

(PDF)

pbio.3002506.s008.pdf (164.7KB, pdf)
S1 Data. Top 100 marker genes of 19 clusters in S1 Fig.

(XLSX)

pbio.3002506.s009.xlsx (72.5KB, xlsx)
S2 Data. Primers of plasmid, BAC constructs, sgRNA, and probes.

(XLSX)

pbio.3002506.s010.xlsx (17.2KB, xlsx)
S3 Data. Statistical details of individual sample.

(XLSX)

pbio.3002506.s011.xlsx (289.4KB, xlsx)
S1 Movie. Z stack of transgenic line TgBAC(bhlhe23: mNeonGreen).

Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior; P, posterior. Scale bars, 50 μm.

(AVI)

Download video file (3.3MB, avi)
S2 Movie. Z stack of transgenic line TgBAC(bhlhe22: mNeonGreen).

Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior; P, posterior. Scale bars, 50 μm.

(AVI)

Download video file (3.1MB, avi)
S3 Movie. Z stack of transgenic line TgBAC(sox2: mNeonGreen).

Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior, P, posterior. Scale bars, 50 μm.

(AVI)

Download video file (9.5MB, avi)
S4 Movie. Optokinetic reflex of bhlhe22+ type-ablated TgBAC(bhlhe23: mNeonGreen) larva.

OKR performance of 7-dpf TgBAC (bhlhe23: mNeonGreen) larva with bhlhe22/bhlhe23 codisruption and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

(AVI)

Download video file (16.5MB, avi)
S5 Movie. Optokinetic reflex of control sgRNA treated TgBAC(bhlhe23: mNeonGreen) larva.

OKR performance of 8-dpf TgBAC (bhlhe23: mNeonGreen) larva with scrambled sgRNAs (control sgRNAs) treatment and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

(AVI)

Download video file (15.2MB, avi)
S6 Movie. Optokinetic reflex of sox2+ type-ablated TgBAC(sox2: gal4ff;uas:nfsB-mNeonGreen) larva.

OKR performance of 7-dpf TgBAC (sox2: gal4ff; uas:nfsB-mNeonGreen) larva treated with MTZ and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

(AVI)

Download video file (16.6MB, avi)
S7 Movie. Optokinetic reflex of TgBAC(sox2: gal4ff;uas:nfsB-mNeonGreen) larva without MTZ treatment.

OKR performance of 7-dpf TgBAC (sox2: gal4ff; uas:nfsB-mNeonGreen) larva without MTZ and with stimulation showing in Fig 5M. Scale bars, 100 μm.

(AVI)

Download video file (15.9MB, avi)

Acknowledgments

We are grateful to J. Chu, Y. Mu, H. S. Yao, Y. F. Zhang, and J. L. Du for reagents and suggestions, and H. Gao, L. Zhang, and H. Qian for data analysis. We also thank He lab members for experimental assistance.

Abbreviations

AC

amacrine cell

BAC

bacterial artificial chromosome

BP

bipolar cell

ChAT

choline acetyltransferase

dpf

days post-fertilization

DSI

direction selectivity index

dsRGC

direction-selective retinal ganglion cell

hpf

hours post-fertilization

INL

inner nuclear layer

IPL

inner plexiform layer

LPT

line printer terminal

MC

müller cell

NPY

neuropeptide Y

OKR

optokinetic reflex

PD

preferential direction

ROI

region of interest

SAC

starburst amacrine cell

sgRNA

small guide RNA

TF

transcription factor

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was funded by grants from the National Key Research and Development Program of China (2020YFA0112700 to JH), grants STI2030-Major Projects(2021ZD0204500 to JH), Shanghai Municipal Science and Technology Major Project (2018SHZDZX05 to JH), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB32000000 to JH), the National Natural Science Foundation of China (31871035 to JH), and the State Key Laboratory of Neuroscience(to JH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

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Decision Letter 1

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13 Jul 2023

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------------------------------------

REVIEWS:

Reviewer #1, Juan Angueyra (note, Reviewer 1 has signed this review):

SUMMARY.

Li et al. describe two genetically and morphologically distinct amacrine-cell (or AC) types to have a role in direction selectivity in the zebrafish retina. Like the mouse starburst amacrine cell (or SAC), the sox2+ AC seems to be a symmetrical, narrow-field AC that is GABAergic and cholinergic. Interestingly, the authors identified a novel direction-selective AC that is also GABAergic and cholinergic and that shows direction-selectivity; this novel AC is characterized by expression of the transcription factor bhlhe22+. Both cell types can respond to moving bars of various sizes; the bhlhe22+ cells seem to prefer larger moving stimuli in comparison to the sox2+ cells. The authors show convincing differences between these two cell types by transcriptomics, genetics, morphology and function, providing a well-rounded starting point for future characterization of cholinergic cells and direction-selectivity in the zebrafish retina. The experiments are thorough, well-controlled and analyzed. Collectively, the authors provide an insightful and significant piece to the expanding understanding of retinal-cell type diversity in vertebrates. The optokinetic and optomotor responses have become standard assays to evaluate visual function and perception across vertebrate animal models; understanding how direction selectivity arises in the retina is crucial to inform our understanding of the central processing of visual information.

SUGGESTIONS.

We consider that the results presented here very convincingly delineate the differences between these novel subtypes of cholinergic cells in the zebrafish retina. As the paper stands, the transcriptomic, genetic, morphologic data and the mutations in the respective transcription factors clearly support the main claims of this paper. These results are important for out field.

Most of our concerns lie in the characterization of the direction selectivity. We explain these below.

Selection of responsive cells

- It is difficult to understand if the population data presented in Figure 4 derives from single ROIs, or if they represent averages across the 3 ROIs for a single cell. Methods mention "To evaluate the variance of preferential directions of various local dendritic regions from each cell,the standard deviation of tuned direction of cells with responsive ROIs more than 2 was analyzed" but these data are not presented or mentioned in results. Given the mammalian work on SACs, it would be presumed that individual dendrites may work independently and have disparate preferred directions, so that ROI data should not be pooled. Please make clarifications and consider changing labels from cell to ROI where appropriate

Selection of ROIs:

- What was the random selection process for ROIs?

- Is 0° standardized between larvae? is it rightward motion? please explain

- Text describes that the response in sox2+ cells is smaller than for bhlhe22+ cells but example panels B and D in Figure 4 show the opposite

Possible direct stimulation of cells:

- How was the size of the bars determined and how does the size of the bar match the receptive field, or the dendritic arbor, of both cell types?

- In our experience, while recording calcium-responses in the retina in a PTU-treated fish, it is possible (and likely) that stimulation of photoreceptor occurs directly with light that traverses larval tissues and enters the back of the eye (which has been made transparent) and is absorbed by outer segments. Most of the optic tectum work is perhaps protected from this issue because they tend to keep eye pigmentation. We have recorded robust retinal responses in larvae positioned on their side and with stimulation through the condenser, which precludes light stimulating the retina by entering through the lens.

- Given the size of the dendritic fields of these cells (less than a 100 microns), and the speed of the bars (16300 microns per second) and screen refresh rate (60 Hz?), the bar edge moves ~270 microns between frames, potentially covering all cones that provide input to these cells in a single frame (if they were stimulated directly and not by light entering through the lens)

- Can the authors make any claims about the location of each cell's receptive field with the available data? Can these be estimated?

- Alternatively, can the authors test if direct stimulation of photoreceptors is an issue by flashing small spots underneath the larvae? Or, can the stimulus be blanked underneath the larvae while direction selective responses are being measured?

Size selectivity

- For size selectivity and Figure 6, the analysis of DSI seem to switch from individual ROIs to cell bodies. Is this correct? Can the authors explain the rationale behind this decision?

- In panels I and K, the calculated DSI are above 0.20 for the example cells. For what bar width are these example responses?

- The average DSI across all bar widths is well below 0.20 (Panels M and N). Are the example traces from far outliers in the dataset?

- If DSI threshold in Figure 5 was 0.1, should the interpretation of these data be that there is little to no direction-selective responses to these bars as measured in this figure?

Statistical analysis: - Mann-Whitney tests are appropriate for single pair-wise comparisons but are likely to give false positives when repeatedly used for multiple pairwise in groups larger than 2. - Consider using a Kruskal Wallis test and a subsequent post-hoc test where appropriate.

Line 88: " At 72 hpf, retina development is thought to be mostly completed in zebrafish [38]" This statement should be modified. At 72 dpf, most retinal cells are still quite immature; a prime example are photoreceptors which have short outer segments, poor light responses correlating to low expression of phototransduction genes and with a mosaic that is very disorganized.

Line 178 - 186: It is not made clear for readers that the experiments for "The generation of two AC types requires distinct sets of TFs" section derive from F0/G0 mutants, which are genetic mosaics, and not germ line mutants.

The variability is dendritic field size of bhlhe22+ cells is quite large. The smaller cells in this "wide-field" class rival the size of the sox2+ "narrow-field" cells. These all correspond to 5 dpf larvae, correct? Is there a systematic difference between the ON and the OFF subtypes? Is this same range seen in cells that responses were recorded from? Do responses match dendritic size characteristics at all?

The authors suggest the evidence illustrates sox2+ cells in zebrafish to be the evolutionary counterpart to the mouse SAC cells. Authors may consider assessing the coverage factor and tiling of the sox2+ cells in the zebrafish. Are the sox2+ cells as densely tiled as the SACs in mice? What about the bhlhe22+ cells?

Figure 2, panel F: there is not enough information to decode this panel in results or legend. The description for panel F is duplicated and not very informative. Why are there 2 bars? what is 100% for each one? why do they share an n?

Figure 2, panel K: remove yellow dotted outline in Gad65/67 panel

Figure S1, panel H: what does "dAC" stand for?

Figure 4 and Figure S4, panel A/B: kaede is mispelled

Figure 4, panel E: "Placed" is an awkward term for this. Perhaps: "Cell body in INL" vs. "Cell body in GCL (displaced)"?

Figure 4, panel G: the data suggests that there is a loss of cells on average and not just a lack of displaced cells. Are the differences in the sum of ON and OFF sox2+ cells significant?

Methods:

Line 59: How long were samples fixed for?

Line 66 - 68: provide details about antibodies including species, catalog and lot number.

Missing details for OKR: how far was the cylinder from the larvae? how fast did the grating move? was it reversed? for how long? can you provide details about the screen (make, spectral compositions, etc.)?

Missing details for Visual stimulation under 2P: How far was the larvae from the screen surface? how many degrees of visual angle are covered by the screen?

In general, the introduction and methods could use style editing and grammar corrections that would help with clarity. A none comprehensive list is below.

MINOR EDITS.

Line 37 - change to "… (SACs), which are also cholinergic [3-8]." Line 42 - 44 - change to "in the mouse retina, expression of Sox2 and Fezf1 were required for appropriate cell body positioning of ON SACs [12,13]."

Line 44 - add coma "showed that OFF, but not the ON subtype,…"

Line 45- 46 - Run on sentence. Modify to "…from non-SACs. These inputs, involved in centrifugal direction selectivity, suggest different…"

Line 49 - Change "were" to "are" Line 58 - Unclear wording. Change to "…[22-24]; which are a diverse cell type [25,26]."

Line 60 - Add semicolon. "…neurite arborization; including: narrow-field…"

Line 62 - delete "either" Line 62 - Run on sentence. Change to "…[29]; however, there are a few amacrine cells that…"

Line 65 - Organization. Structure to " …arbors with some overlapping and are born earlier…"

Line 66 - "Cholinergic ACs are a subpopulation of GABAergic ACs"

Line 70 - 71 - Modify wording to "Additionally, we performed…"

Line 74 - change "further" to "furthermore" Line 80 - wording unclear. Change "showed higher responses" to "responded more robustly to…"

Line 81 - Change "the broader size range…" to "a broader size range"

Line 89 to 91 - Change to: "From the 19 retinal clusters we identified 5 AC clusters based on co-expression of elval3 and tfap2a; these 5 AC clusters could be readily differentiated by the expression of marker genes (...)"

Line 95 - Noun is singular. Change "were" to "was"

Line 96 - define "MC" here.

Line 98 - Use ChAT. Already defined acronym in line 52 Line 100 - delete "were" in the area: "type were resided in both…"

Line 125 - Consider changing "mark" to "identify"

Line 126 - delete "either"

Line 126 - mNeonGreen is misspelled Line 128 - rephrase for clarity. "…specifically marked a subset of ChAT+ and Gad65/67+ ACs located in the INL…"

Line 129 - add "the" - "together with the in situ results…"

Line 130 - rephrase for clarity. "…specifically marked the bhlhe22+…"

Line 131 - rephrase for clarity.

Line 132 - add semicolon. "…bipolar cells(Fig 2E and 2F); which is consistent…"

Line 133 - rephrase for clarity. "specifically marked a ChAT+ and Gad65/67+ subset of ACs located in the INL…; which is consistent with…"

Line 135 - reword for clarity. "…were co-labeled with a SOX2 antibody…"

Line 137 - Change "besides" to "additionally"

Line 139 - Reword for clarity and add "the" before the word "two". "Furthermore, crossing TgBAC… show that the two AC types…"

Line 211- Unclear sentence. Reword for clarity.

Line 212 - Change 'it' to 'this'

Line 212 - Change wording. "…we examined the influence of disrupting bhlhe22/bhlhe23 or sox2…"

Line 217 - Reword for clarity. "we could not…that SoFal lacked the sensitivity to detect changes within retinal subtypes."

Line 223 - add "lines" - "using newly-generated lines…"

Line 225 - add "the" - "…, the dendrites…"

Line 226 - reword for simplification. "… starburst-like pattern reminiscent of mouse SACs [16]." Line 316 - use 'OKR' abbreviation already defined in line 75.

Line 316 - change "is the behavior" to "is a behavior" Line 390 - change 'it' to 'this' Line 459 - change 'the' to 'a' Line 468 - Reword for clarity. Change 'higher' to 'more robust'

Line 473 - Simplify wording. "which express sox2. [43]."

Line 474 - add colon. - "… including: cat…"

Line 475 - Simplify for clarity. Start sentence at "Although cholinergic ACs are observed in many non-mammalian species, such as: chick…"

Line 479 - Consider using different wording for 'placed' and 'displaced' cells or clearly defining them in this context.

Line 480 - Consider rewording for clarity. "led to inappropriate soma placement in the INL" ?

Line 499 - delete 'to' - "presynaptic bipolar cells (BPs)…"

Line 503 - add 's' to AC Line 505 - delete 'and' - "…, thereby resulting in…"

Line 506 - what does 'more-fined" mean here? Consider rewording.

Line 507 - add 's' to population

Line 508 - Reword for clarity and simplification. "…subtypes also lack specific ON or OFF responses."

Line 509 - Run-on sentence. End at "response." - "This requires future efforts…"

Line 509 - change 'in' to 'of' - "difficulty of genetically marking…"

Line 514 - change 'on' to 'of' - "the advantage of…"

Line 517 - delete 'the' - "… generated larger responses…"

Line 517 - delete 'of' - "…same size objects…"

Line 518 - add 'the' - "… the larger dendrites…"

Line 518 - change 'titling' to 'tiling'

Line 520 - add 's' to type Line 521 - delete 'either'

Line 521 - Change wording for clarity. Change 'more' to 'additional' or 'more numerous'

Line 522 - change 'side' to 'size'

Line 522 - reword for clarity. " …could enhance the response of the bhlhe22+ type as a function of bar size."

Line 526 - Change 'may better receive' to 'may receive more'

Line 526 - delete "dendrites, which could result" change to 'dendrites resulting in an…"

Reviewer #2, Takeshi Yoshimatsu (note, Reviewer 2 has signed this review): This manuscript by Li Y, et al. reports the discovery of two types of direction-selective (DS) amacrine cells in larval zebrafish. The genetic approaches to identify DS amacrine cells are very thorough and the amount of work done is impressive. In particular, the finding that one of the DS types is similar to the mammalian DS amacrine cells (aka starburst amacrine cells) in terms of the molecular marker and the developmental origin (fexf2 dependent cell locarization) is interesting. The authors further characterize the morphology and the properties of direction selectivity in these DS amacriine cells and found that one type has smaller dendritic field size and responds robustly to smaller moving objects, whereas the other type has larger dendritic field size, larger responses, and tuned to larger moving bars. Finally, the authors tested the roles of these DS amacrine cells in visual behaviors using an optokinetic response assay. This revealed that that both types are required for the normal frequency of saccade eye movements, but not for the normal saccade amplitude. Taken together, this manuscript reports the conserved and a novel type of DS amacrine cells in the vertebrate retina. These findings are of interest to broad audience including retinal physiology and visual ecology. However, I find that the Methods section in the supporting information needs much improvement and some clarification is required in the results due to the lack of some information in the methods.

1. Did the authors verify the sequences of the riboprobe? According to the methods section, the DNA template for the probe synthesis was prepared by PCR reaction from cDNA. This means that the DNA template sequence was not confirmed.

2. The visual stimuli parameters are unclear. For object size preferential test, the bar widths are described as (bar width: 2,5, and 10 pixels, 0.07 cm/pixel) for the small range. However, in Fig. 6 E, there are three bar widths used. For the big range, what was the size of the pixel? Finally, the size on the screen is not very informative. The authors should provide the size in the visual angle.

3. Are the 10 pixel bar sizes in the small range and the large range the same? If so, why are the response amplitudes, responsive cell fractions, and DSI different in Fig. 6E-H, M,N?

4. In the ‘in vivo two-photon calcium imaging’ section, the resolution is written as ‘60.42×57.88 μm’ (line 121). This resolution seems too big to resolve cells…

5. The authors should clarify the location of the cells recorded in in vivo two-photon calcium imaging. Because the visual stimuli were projected beneath the fish, this information is important to know the visual angle for a given bar width. For example, if the cell was located in the dorsal region of the eye, they see the bottom of the dish where the bars with the same width would appear wider in the visual angle compared to the bars further away which is seen by the cells located close to the center of the eye.

6. This sentence is unclear ‘Time-series images process of calcium responses was performed described (132)’

7. In the ‘Functionl analysis’ section, the authors used some criteria to identify “visual response”. However, the rationale to remove ‘3),trials with peak amplitude exceed 4×SD of 140 dF/F0 of all four trials’ as outliers are unclear.

8. Line 141. ‘Peak amplitude of averaged value of all trials during visual stimuli was the raw response (dF/F0).’ This does not make sense. If this is true, there is one raw response per ROI.

9. Line 144. How the DSI is computed is unclear. Where ‘r’ is computed?

10. What is the reason to evaluate the variance of preferential directions? (Line 146)

11. Line 148, the sentence ‘For calcium response… analysis.’ Is a duplicate of the sentence in line 134.

Reviewer #3: This paper describes for the first time the presence of two amacrine cells (AC) types in the zebra fish retina that have molecular properties similar to cholinergic/GABAergic cells seen in mammalian retinas. Evidence points to a role of these cells in generating direction-selective responses within the zebra fish visual system. The circuitry generating direction-selectivity within retinal ganglion cells has been widely studied, mostly in mammalian species, as an example of complex neural processing. The paper presents some interesting new results and lays the groundwork for a comparative analysis of DS circuits in fish versus mammalian systems, which could be of general interest to neuroscientists.

The molecular characterization of the 2 novel AC types was convincing and well supported by the data. Calcium imaging of terminal dendrites demonstrated directional responses in these ACs, but control data showing the magnitude of direction-selectivity indices (DSI's) recorded from non-directional cells under the same conditions is missing. Such control data seems essential to set the criterion DSI level for determining whether a cell is considered direction-selective or not. As it stands, the authors simply use a cut-off for the DS index of 0.1, which seems rather low. In any case, in the absence of control data, it would be helpful to know the rationale for selecting this 0.1 criterion level.

A focus of the paper is the finding that the two AC types have rather different dendritic field sizes. This observation prompted an analysis of the size-selectivity of the two AC types. Functional differences were observed between the two AC types, however, this section was not well motivated. If the ACs are providing directional inhibition that generates directional responses in ganglion cells, it is not obvious why the cells should be tuned to the width of the stimulus bar. It would be helpful if the authors provided a stronger rationale or a proposed circuit model that could help the reader interpret the results and understand the implications of this size-sensitivity.

A key finding, linking the activity of the two ACs to the generation of directional responses in the fish visual system is supported by the OKR experiments shown in Fig. 5J-M. These results demonstrate a rather modest but significant effect of cell ablation on the saccade frequency during OKR. I do not agree that the results support a "major" contribution, particularly regarding the sox2+ cells. In any case, the authors don't explain why one would expect a change in the frequency of saccades when directional signaling is compromised. Perhaps a more informative metric would be to measure the gain of the OKR image tracking between saccades? See Fig 1 in Yonehara et al (2018) for an example in the mouse (https://doi.org/10.1016/j.neuron.2015.11.032).

Overall, there are some very interesting new observations, but in my view the paper could be greatly improved by a substantive revision.

Further comments and suggestions for revision:

Line 226: the resolution of the cell fills is insufficient to suggest that the sox2+ cells had a starburst-like morphology reminiscent of putative homologous cells in mouse. Individual dendritic branches are not clearly resolved, making such a judgement questionable.

Line 227, Fig. 4B: The authors note that the dendrites of the bhlhe22+ ACs are 10 times larger than the sox2+ cells. The area of the dendritic arbor is 10-fold larger, but the dendrites are only ~2.5-fold longer. It is more conventional and useful to quote linear dimensions rather than area. This is particularly relevant to cells potentially involved in mediating direction-selectivity, which involves spatio-temporal interactions across the retina that depend on distance rather than area.

Fig. 4E: There are no "displaced" bhlhe22+ ACs in this panel. According to the text "placed" somas are in the GCL, yet in panel C the bhlhe22+ cells are all "displaced" to the INL?

Fig. 4F: the finding is that the disruption of fezfl causes the displacement of the On-type sox2+ AC somas to the INL. I assume that the On- and Off-type sox2+ ACs were distinguished according to the placement of the somas, with On-type in the GCL and Offs in the INL? In control, the sox2+ dendritic band in Sublamina-4 (S4) is stronger than the band in S1 (Fig. 4F), consistent with the 3-fold higher cell count for On-sox2+ ACs shown in Fig. 4G. However, although the S4 band has largely disappeared in the fezfl retinas, as expected, one would expect to see a stronger band in S1, but this is not observed. Why are the dendrites of the displaced S4-ACs and S1-ACs missing from this image? Is this a representative result, and if so, is it possible that there are concomitant changes in dendritic arborization in the fezfl retinas?

Fig. 4G: In the absence of any functional data at this point, the sox2+ ACs should be labeled according to their morphological characteristic (e.g. S1 and S4 stratifying), not a presumed functional property, which may not correlate well with the anatomical properties anyhow, according to the data shown in supplemental Fig. S5.

Fig. 5B: How were response latencies measured? A 4s latency seems very long for a cell that is tasked with rapidly signaling direction and supporting OKR responses. Is this the true latency of functional responses, or is it limited somehow by the recording methods?

Fig. 5: Since the saccade frequency was significantly lower, but the saccade amplitude was unchanged in the affected animals, one might expect the eyes to reach the limit of their motion and remain pegged there during prolonged optokinetic stimulation. Was this observed?

Line 349: Please quote bar widths either in degrees of visual angle or microns on the retina.

Fig. 6I-N: The DSI's in this dataset are lower than shown earlier. Indeed, many units show DSIs that are lower than the criterion value of 0.1 used earlier. Judging from the collected data in panels M and N, the representative traces and polar plots in panels I and K look to be extreme outliers (many SD's above the mean) rather than representative. It would be more realistic to show examples that were closer to the means of the groups.

Minor comments:

Fig. 4A: The scale bars in the two panels are not equal in length indicating slightly different magnifications. If magnification is not preserved for comparison of the cell sizes, then why not enlarge the sox2+ cell so that it can be seen better?

Check verb tense throughout the manuscript. For example, past tense is often used to refer to immutable characteristics which is not really accurate.

Lines 69 - 83: This final paragraph seems superfluous as it simply summarizes the results.

Line 75, "Consistently, the optokinetic…" This sentence needs to be reworded.

Fig. 5C,E: although the scale bar is shown, it would be nice to know what the actual DSI's for these examples were, as is shown in Fig. 6J,L.

Fig. 6I,K: What were the bar widths used in these examples?

Decision Letter 2

Lucas Smith

5 Dec 2023

Dear Dr He,

Thank you for your patience while we considered your revised manuscript "Defining morphologically and genetically distinct direction-selective amacrine cells in the vertebrate retina" for consideration as a Research Article at PLOS Biology. Your revised study has now been evaluated by the PLOS Biology editors, the Academic Editor and by two of the original reviewers.

As you will see in their comments, below, the reviewers are largely satisfied by the changes made in this revision. However each has noted lingering concerns that will need to be addressed before publication. Of note, Reviewer 3 has commented that the conclusions about direction selectivity in these amacrine cells is not supported by the data. S/he suggests that the findings are still interested without this conclusion, but the title, abstract, and manuscript needs to be adjusted accordingly. We have now had a chance to discuss the reviewer comments, and the additional underlying data that you provided with our Academic Editor - and after this discussion, we agree with Reviewer 3 and think the manuscript will need to be reworked. We think that adjusting the conclusions will not impact the significance of the work, but is important, barring the generation of additional data to clarify the direction selectivity of these cells.

I have included, below the reviews, additional comments from the Academic Editor, which provide more specific advice that we hope will be helpful in guiding the revision.

In light of the reviews and our Academic Editor's assessment, we are pleased to offer you the opportunity to address the remaining points in a revision that we anticipate should not take you very long. We will then assess your revised manuscript and your response to the reviewers' comments with our Academic Editor aiming to avoid further rounds of peer-review, although might need to consult with the reviewers, depending on the nature of the revisions.

**IMPORTANT: As you address these last points, we also ask that you address the following editorial requests:

1) ETHICS STATEMENT: Please update the ethics statement in your manuscript to include the specific national or international regulations/guidelines to which your animal care and use protocol adhered. Please note that institutional or accreditation organization guidelines (such as AAALAC) do not meet this requirement.

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3) METHODS: I see that you have included some of the methods section in teh supplement. Please move the methods to the main text.

4) CODE: Per journal policy, if any code was generated to support the conclusions of your manuscript, we would require that you make it available without restrictions upon publication. Please ensure that any code is sufficiently well documented and reusable, and that your Data Statement in the Editorial Manager submission system accurately describes where your code can be found.

5) DATA: You may be aware of the PLOS Data Policy, which requires that all data be made available without restriction: http://journals.plos.org/plosbiology/s/data-availability. For more information, please also see this editorial: http://dx.doi.org/10.1371/journal.pbio.1001797

Note that we do not require all raw data. Rather, we ask that all individual quantitative observations that underlie the data summarized in the figures and results of your paper be made available in one of the following forms:

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>>Regardless of the method selected, please ensure that you provide the individual numerical values that underlie the summary data displayed in the following figure panels as they are essential for readers to assess your analysis and to reproduce it:

Fig 3F; 4C-F,H; Fig 5E,J,K-O;' Fig 6E-H; FIg S2 D-E; Fig S3B; Fjg S5; Fig S6D,F,H,J; Fig S7;

NOTE: the numerical data provided should include all replicates AND the way in which the plotted mean and errors were derived (it should not present only the mean/average values).

>>Please also ensure that figure legends in your manuscript include information on where the underlying data can be found, and ensure your supplemental data file/s has a legend.

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----------------------------------------------------------------

REVIEWS:

Reviewer #2, Takeshi Yoshimatsu (note, Reviewer 2 has signed this review): In the revised manuscript, the authors addressed most of the concerns I initially had with the original version. The new manuscript has been much improved. I just have one more thing that I would like clarification on. The visual angle of the bar stimuli used in the two-photon calcium imaging is computed based on the visual distance of 0.36 cm and the bar size on the screen (line 1010 - 1011). However, it seems that, for two-photon imaging, larval fish were almost directly placed on the screen (line 1034 - 1035, 'Vertical distance from larvae lens to the screen was 0.5 mm'). If the calcium recordings were carried out in cells located in the dorsal region of the eye, shouldn't the visual distance be ~0.5 mm? This detail is particularly relevant because one of the paper's interesting findings is the difference in the bar size tuning between bhlhe22 and sox2 ACs. Adie from this, the experiments and data analysis are through, and the findings are very exciting.

Reviewer #3: The authors have responded in diligently to the previous reviews; however, I have one remaining concern pertinent to the basic conclusions. In my previous review I asked whether control data showing the magnitude of direction-selectivity indices (DSI's) recorded from non-directional cells under the same conditions was available. My interest was to see the variance and mean of DSI's in other non-DS retinal neurons, which could provide a basis for assessing the relative strength of DS responses in the two novel ACs. However, in this revised manuscript, responsive sox2+ and bhlhe22+ ACs were each divided in two groups; DS and non-DS cells. Surprisingly, the DS cells represent only a minor fraction of the total sample for each cell-type (Figs 5 & 6).

These directional sox2+ and bhlhe22+ ACs are compared to the directional GABAergic/cholinergic starburst ACs reported in mammalian retinas. Starburst ACs uniformly show robust directional responses, so it is perhaps surprising that most of the novel sox2+ and bhlhe22+ ACs are non-directional. Thus, it would be more accurate to conclude from the data that the sox2+ and bhlhe22+ AC types in zebra fish are not direction selective, unlike their presumed mammalian counterparts. Consistent with this conclusion are the very modest effects that cell-specific KO of the ACs have on the OKR (Fig. 5).

The description of these novel ACs and their homology with mammalian AC types is interesting and significant. The study nicely documents functionally, morphologically, and genetically distinct GABAergic/cholinergic amacrine cells in a lower vertebrate retina. However, the evidence doesn't support the claim that they are functionally homologous to the mammalian cells or that they serve a major role in directional signaling. I would recommend that the authors revise the title, abstract, and discussion to reflect the findings more accurately.

---

COMMENTS FROM THE ACADEMIC EDITOR

Judging from the data provided by the authors, I am pretty sure their assertion of DS cannot be substantiated from these traces. In almost no case, the multiple repeats to the same stimulus give the same responses, and the "DS preference" only results from considering the average of some spontaneous events. Imagine a cell responds poorly to a given stimulus, but there is one or two spontaneous events that roughly coincide with when a stimulus was played. Then, on average, this cell would come out as directionally selective. However, these types of spontaneous events should have been filtered out. People typically compute some sort of quality metric for the repeatability of responses. I do not see such a thing used, and certainly, if used properly, it would kick out pretty much all of the trials shown in the pdf. Also, some of the "responses" look like motion artifacts (their kinetics are not plausibly explained by neural processing or calcium dynamics).

Therefore, based on the data I can see, I am with the reviewer: Either, the cells are not DS, or their DS-ness remains to be established with additional experiments and analysis.

In light of that I would strongly suggest the authors focus on the very nice description of these cells presence, organisation, genetics etc, and - importantly, the provision of the exceptionally useful transgenic lines that go with them, but keep the functional data very cautious, probably concluding that for now there is no strong evidence that there is DS, but importantly, that this doesnt mean that it is not there. It could also have been missed for technical reasons, and future work will be needed to carefully check this.

Decision Letter 3

Lucas Smith

4 Jan 2024

Dear Dr He,

Happy New Year. Thank you for your patience while we considered your revised manuscript "Defining morphologically and genetically distinct GAGBergic/cholinergic amacrine cell subtypes in the vertebrate retina" for publication as a Research Article at PLOS Biology. This revised version of your manuscript has been evaluated by the PLOS Biology editors and the Academic Editor, who is now satisfied with the changes made in response to the last reviewer requests.

Based on our Academic Editor's assessment of your revision, we are likely to accept this manuscript for publication. However, before we can accept your study, we need you to address a number of data and other policy-related requests, detailed below. (These were included in our last decision letter, but I do not see the requested changes made, so I am including them here again).

**IMPORTANT: Please address the following editorial requests:

1) ETHICS STATEMENT: Please update the ethics statement in your manuscript to include the specific national or international regulations/guidelines to which your animal care and use protocol adhered. Please note that institutional or accreditation organization guidelines (such as AAALAC) do not meet this requirement.

2) BLURB: Please provide a blurb which (if accepted) will be included in our weekly and monthly Electronic Table of Contents, sent out to readers of PLOS Biology, and may be used to promote your article in social media. The blurb should be about 30-40 words long and is subject to editorial changes. It should, without exaggeration, entice people to read your manuscript. It should not be redundant with the title and should not contain acronyms or abbreviations.

3) METHODS: I see that you have included some of the methods section in the supplement. Please move the methods to the main text.

4) CODE: Per journal policy, if any code was generated to support the conclusions of your manuscript, we would require that you make it available without restrictions upon publication. Please ensure that any code is sufficiently well documented and reusable, and that your Data Statement in the Editorial Manager submission system accurately describes where your code can be found.

5) DATA: You may be aware of the PLOS Data Policy, which requires that all data be made available without restriction: http://journals.plos.org/plosbiology/s/data-availability. For more information, please also see this editorial: http://dx.doi.org/10.1371/journal.pbio.1001797

Note that we do not require all raw data. Rather, we ask that all individual quantitative observations that underlie the data summarized in the figures and results of your paper be made available in one of the following forms:

a. Supplementary files (e.g., excel). Please ensure that all data files are uploaded as 'Supporting Information' and are invariably referred to (in the manuscript, figure legends, and the Description field when uploading your files) using the following format verbatim: S1 Data, S2 Data, etc. Multiple panels of a single or even several figures can be included as multiple sheets in one excel file that is saved using exactly the following convention: S1_Data.xlsx (using an underscore).

b. Deposition in a publicly available repository. Please also provide the accession code or a reviewer link so that we may view your data before publication.

>>Regardless of the method selected, please ensure that you provide the individual numerical values that underlie the summary data displayed in the following figure panels as they are essential for readers to assess your analysis and to reproduce it:

Fig 3F; 4C-F,H; Fig 5E,J,K-O;' Fig 6E-H; FIg S2 D-E; Fig S3B; Fjg S5; Fig S6D,F,H,J; Fig S7;

NOTE: the numerical data provided should include all replicates AND the way in which the plotted mean and errors were derived (it should not present only the mean/average values).

>>Please also ensure that figure legends in your manuscript include information on where the underlying data can be found, and ensure your supplemental data file/s has a legend.

>>Please ensure that your Data Statement in the submission system accurately describes where your data can be found.

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Decision Letter 4

Lucas Smith

18 Jan 2024

Dear Dr He,

Thank you for the submission of your revised Research Article "Defining morphologically and genetically distinct GAGBergic/cholinergic amacrine cell subtypes in the vertebrate retina" for publication in PLOS Biology and thank you for addressing our last editorial requests in this revision. On behalf of my colleagues and the Academic Editor, Tom Baden, I am pleased to say that we can in principle accept your manuscript for publication, provided you address any remaining formatting and reporting issues. These will be detailed in an email you should receive within 2-3 business days from our colleagues in the journal operations team; no action is required from you until then. Please note that we will not be able to formally accept your manuscript and schedule it for publication until you have completed any requested changes.

**As you address the last formatting requests to come, we have one last editorial request that we ask that you attend to as well:

1) Thank you for providing the data underlying your figures as a supplemental file (S3_Data). Can you please update the figure legends to reference this data file? For example, to each relevant figure legend, you can add the sentence "The data underlying this figure can be found in S3_data".

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Associated Data

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

    Supplementary Materials

    S1 Fig. Single-cell transcriptome analysis identifies 2 GABAergic/cholinergic AC types.

    (A) t-SNE plot showing 19 clusters of the zebrafish retina (72 hpf). Each cluster is identified as one cell type according to highly expressed cluster-specific marker genes. (B) t-SNE feature plot showing elval3 and tfap2a expression level in 19 clusters of the zebrafish retina. (C) t-SNE feature plot showing bhlhe22 and bhlhe23 expression level. (D) t-SNE feature plot showing sox2 and isl1a expression level. (E) t-SNE feature plot showing fezf1 and tenm3 expression level. (F) The validation of riboprobe sequences for marker TFs of cluster AC4 (bhlhe22 and bhlhe23) and AC5 (sox2 and isl1a). (G) Expression patterns of riboprobes in (F) using in situ hybridization (magenta) combined with ChAT immunostaining (green) of the 5-dpf zebrafish. (H) Validation of cluster AC5 marker isl1a (magenta) using in situ hybridization combined with SOX2 (green) immunostaining. (I) Cell fraction composition analysis of sox2+ cells in (H). Solid white arrow head indicated sox2+ isl1a+ cells. The data underlying this figure can be found in S3 Data. Scale bars, 10 μm. AC, amacrine cell; ChAT, choline acetyltransferase; dAC, displaced amacrine cell; dpf, days post-fertilization; GCL, ganglion cell layer; IPL, inner plexiform layer; TF, transcription factor.

    (PDF)

    pbio.3002506.s001.pdf (4.7MB, pdf)
    S2 Fig. Efficiency verification of gene disruption and fate specification between 2 GABAergic/cholinergic AC types.

    (A) Statistics of bhlhe22, bhlhe23, and sox2 disruption efficiency and gene disruption pattern through 4 CRISPR/Cas9 ribonucleoprotein complexes injection in founder embryos. (B) Examples of 10 alleles around 4 targeted sites of ORF of bhlhe22, bhlhe23, and sox2. First line is the WT sequence. Blue rectangle, sgRNA-targeted sites; red rectangle, mismatches. (C) Representative images showing ChAT immunostaining pattern of TgBAC(sox2: mNeonGreen,bhlhe23:mRuby3) of wild-type (up) and sox2 disrupted (middle) larval fish, and representative images showing SOX2 and ChAT immunostaining pattern of TgBAC(bhlhe23: mNeonGreen) after bhlhe22 and bhlhe23 codisrupted (bottom). Hollow white arrow head indicated ChAT+ sox2+ cells and solid white arrow head indicated ChAT+ bhlhe22+ cells. (D) Bar plot showing cell density of 3 types of cholinergic cells (ChAT+ cells) in (C). (E) Bar plot showing cholinergic cell composition of 3 groups in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean ± SD, Mann–Whitney test. *** p <0.001, **** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; ChAT, choline acetyltransferase; ORF, open reading frame; sgRNA, small guide RNA; WT, wild type.

    (PDF)

    pbio.3002506.s002.pdf (9.6MB, pdf)
    S3 Fig. Fate specification to other retinal cell types of 2 GABAergic/cholinergic AC types after gene disruption.

    (A) Representative images showing patterns of sox2+ ACs, sox2+ MCs and GS+ MCs after disruption of sox2 in TgBAC(glyt1: EGFP). (B) Quantification in (A). (C) Representative images showing Sofa1 fish (generated by crossing Atoh7: gapRFP, Ptf1a: cytGFP, and Crx:gapCFP) patterns after disruption of sox2 and bhlhe22/bhlhe23. (D) Cell fraction composition of major retinal cell types of 3 groups in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean ± SD, Mann–Whitney test. * 0.01 < = p <0.05,**** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; BC, bipolar cell; dAC, displaced amacrine cell; GCL, ganglion cell layer; HC, horizontal cell; IPL, inner plexiform layer; MC, müller cell; RGC, retinal ganglion cell; PR, photoreceptor cell; sgRNA, small guide RNA.

    (PDF)

    pbio.3002506.s003.pdf (9.2MB, pdf)
    S4 Fig. Morphology of individual bhlhe22+ and sox2+ AC.

    (A) Schematic design (up) of TgBAC(bhlhe23: gal4,uas:kaede) and the representative image (down). (B) Schematic design (up) of TgBAC(sox2: gal4ff,uas:kaede) and the representative images (down). (C) Representative images showing the ON and OFF subtype dendritic morphology of bhlhe22+ and sox2+ ACs. Images are captured from larval fish of 4 to 5 dpf. Scale bars, 10 μm.

    (PDF)

    pbio.3002506.s004.pdf (2.4MB, pdf)
    S5 Fig. Response patterns to light ON and OFF.

    (A) Heatmap showing the response of all DS bhlhe22+ ROIs in (Fig 5C). (B) Heatmap showing the response of all DS sox2+ ROIs in (Fig 5G). (C) Violin plot showing peak amplitude of sox2+ and bhlhe22+ responsive ROIs to moving bar. The gray lines indicate the quartiles, and the red lines indicate the median. Mann–Whitney test. **** p <0.0001. (D) Violin plot showing response latency of light on response of sox2+ and bhlhe22+ responsive trials. Mann–Whitney test. (E) Polar plot of distribution of DSI and PD of bhlhe22+ and sox2+ DS ROIs. Scale bar, DSI value = 0.5. (F) Bar plot of responses of DS bhlhe22+ and sox2+ ROIs in Fig 5C and 5G. Data are shown in mean ± SD. Mann–Whitney test. (G) Violin plot showing DSI of DS and non-DS ROIs in Fig 5C and 5G. Mann–Whitney test. (H) Histogram polar plot of PD distribution of DS ROIs of 2 types of cells. Scale bar, ROI number = 50. Cumulative frequency comparison with Kolmogorov–Smirnov test. (I and J) Heatmap of response to light on (I, ON Res.) and off (J, OFF Res.) of bhlhe22+ ROIs. The schematic showing visual stimuli paradigm of full-field screen spot was on top of heatmap. (K and L) Heatmap of response to light on (K, ON Res.) and off (L, OFF Res.) of sox2+ ROIs. (M) Statistics of response patterns in (I to L). The data underlying this figure can be found in S3 Data. DS, direction selective; DSI, direction selectivity index; PD, preferential direction; ROI, region of interest.

    (PDF)

    pbio.3002506.s005.pdf (1.5MB, pdf)
    S6 Fig. Cell numbers of other cell types in the retina after the ablation of either type of GABAergic/cholinergic ACs.

    (A) Workflow(upper) and representative images (bottom) showing the OKR assay of bhlhe22+ ACs-ablated zebrafish. (B) Workflow (upper) and representative images (bottom) showing the OKR assay of sox2+ AC-ablated zebrafish. (C and D) Representative image (C) and quantification (D) of a section (30 × 100 μm) of whole-mount Tg(ptf1a: EGFP) retina with bhlhe22/bhlhe23 codisruption to ablate bhlhe22+ ACs. Cell number and types were defined by cell body location in layers. (E and F) Representative image (E) and quantification (F) a frozen section of (30 × 100 μm) TgBAC(sox2: gal4ff, uas:nfsB-mCherry) retina with MTZ to ablate sox2+ ACs. Cell number and types were defined by cell body location in layers. (G and H) Representative image labeling with MCs marker anti-GS (G) and quantification (H) of a frozen section of (100 × 100 μm) wild-type with bhlhe22/bhlhe23 codisruption to ablate bhlhe22+ ACs. (I and J) Representative image (I) and quantification (J) of a frozen section of (100 × 100 μm) TgBAC(sox2:gal4ff,uas:nfsB-mCherry) labeling with GS after MTZ treatment. The data underlying this figure can be found in S3 Data. Data are collected from 5 to 8 dpf the larval zebrafish, presented as mean ± SD, Mann–Whitney test. **** p <0.0001. Scale bars, 10 μm. AC, amacrine cell; BP, bipolar cell; GCL, ganglion cell layer; HC, horizontal cell; INL, inner nuclear layer; IPL, inner plexiform layer; MC, müller cell; MTZ, metronidazole; OKR, optokinetic reflex; PR, photoreceptor cell; RGC, retinal ganglion cell; sgRNA, small guide RNA.

    (PDF)

    pbio.3002506.s006.pdf (3.8MB, pdf)
    S7 Fig. Response patterns of responsive bhlhe22+ and sox2+ type cells.

    (A and B) Heatmap showing the response pattern of all responsive bhlhe22+(A) and sox2+(B) ACs in Fig 6E and 6F. (C) Schematic of a smoothed responsive trial for peak time and rising time. (D) Bar plot showing peak time of all smoothed responsive trials of 2 types of ACs as described in (C). (E) Bar plot showing rising time of all smoothed responsive trials of 2 types of ACs as described in (C). The data underlying this figure can be found in S3 Data. Data are presented as mean and SD. Mann–Whitney test. **** p < 0.0001.

    (PDF)

    pbio.3002506.s007.pdf (11MB, pdf)
    S8 Fig. Schematic of GABAergic/cholinergic ACs.

    (A and B) Schematic showing cell-body positioning of zebrafish GABAergic/cholinergic ACs (A) and mouse SACs (B). (C and D) Schematic showing dendritic arborization in zebrafish GABAergic/cholinergic ACs (C) and mouse SACs (D).

    (PDF)

    pbio.3002506.s008.pdf (164.7KB, pdf)
    S1 Data. Top 100 marker genes of 19 clusters in S1 Fig.

    (XLSX)

    pbio.3002506.s009.xlsx (72.5KB, xlsx)
    S2 Data. Primers of plasmid, BAC constructs, sgRNA, and probes.

    (XLSX)

    pbio.3002506.s010.xlsx (17.2KB, xlsx)
    S3 Data. Statistical details of individual sample.

    (XLSX)

    pbio.3002506.s011.xlsx (289.4KB, xlsx)
    S1 Movie. Z stack of transgenic line TgBAC(bhlhe23: mNeonGreen).

    Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior; P, posterior. Scale bars, 50 μm.

    (AVI)

    Download video file (3.3MB, avi)
    S2 Movie. Z stack of transgenic line TgBAC(bhlhe22: mNeonGreen).

    Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior; P, posterior. Scale bars, 50 μm.

    (AVI)

    Download video file (3.1MB, avi)
    S3 Movie. Z stack of transgenic line TgBAC(sox2: mNeonGreen).

    Z stack animation from ventral to dorsal of brain and retina of 5-dpf larval fish. A, anterior, P, posterior. Scale bars, 50 μm.

    (AVI)

    Download video file (9.5MB, avi)
    S4 Movie. Optokinetic reflex of bhlhe22+ type-ablated TgBAC(bhlhe23: mNeonGreen) larva.

    OKR performance of 7-dpf TgBAC (bhlhe23: mNeonGreen) larva with bhlhe22/bhlhe23 codisruption and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

    (AVI)

    Download video file (16.5MB, avi)
    S5 Movie. Optokinetic reflex of control sgRNA treated TgBAC(bhlhe23: mNeonGreen) larva.

    OKR performance of 8-dpf TgBAC (bhlhe23: mNeonGreen) larva with scrambled sgRNAs (control sgRNAs) treatment and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

    (AVI)

    Download video file (15.2MB, avi)
    S6 Movie. Optokinetic reflex of sox2+ type-ablated TgBAC(sox2: gal4ff;uas:nfsB-mNeonGreen) larva.

    OKR performance of 7-dpf TgBAC (sox2: gal4ff; uas:nfsB-mNeonGreen) larva treated with MTZ and stimulated using paradigm showing in Fig 5M. Scale bars, 100 μm.

    (AVI)

    Download video file (16.6MB, avi)
    S7 Movie. Optokinetic reflex of TgBAC(sox2: gal4ff;uas:nfsB-mNeonGreen) larva without MTZ treatment.

    OKR performance of 7-dpf TgBAC (sox2: gal4ff; uas:nfsB-mNeonGreen) larva without MTZ and with stimulation showing in Fig 5M. Scale bars, 100 μm.

    (AVI)

    Download video file (15.9MB, avi)
    Attachment

    Submitted filename: Replies to reviewers_Li et al.1017.docx

    pbio.3002506.s019.docx (171.7KB, docx)
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    Submitted filename: Response letter.docx

    pbio.3002506.s020.docx (113.3KB, docx)
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    Submitted filename: Response letter.docx

    pbio.3002506.s021.docx (113.3KB, docx)

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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