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eLife logoLink to eLife
. 2023 Aug 17;12:e83975. doi: 10.7554/eLife.83975

Optogenetic manipulation of neuronal and cardiomyocyte functions in zebrafish using microbial rhodopsins and adenylyl cyclases

Hanako Hagio 1,2,3,, Wataru Koyama 1,, Shiori Hosaka 1, Aysenur Deniz Song 1, Janchiv Narantsatsral 1, Koji Matsuda 1, Takashi Shimizu 1, Shoko Hososhima 4, Satoshi P Tsunoda 4, Hideki Kandori 4, Masahiko Hibi 1,
Editors: Suresh Jesuthasan5, Didier YR Stainier6
PMCID: PMC10435232  PMID: 37589546

Abstract

Even though microbial photosensitive proteins have been used for optogenetics, their use should be optimized to precisely control cell and tissue functions in vivo. We exploited GtCCR4 and KnChR, cation channelrhodopsins from algae, BeGC1, a guanylyl cyclase rhodopsin from a fungus, and photoactivated adenylyl cyclases (PACs) from cyanobacteria (OaPAC) or bacteria (bPAC), to control cell functions in zebrafish. Optical activation of GtCCR4 and KnChR in the hindbrain reticulospinal V2a neurons, which are involved in locomotion, induced swimming behavior at relatively short latencies, whereas activation of BeGC1 or PACs achieved it at long latencies. Activation of GtCCR4 and KnChR in cardiomyocytes induced cardiac arrest, whereas activation of bPAC gradually induced bradycardia. KnChR activation led to an increase in intracellular Ca2+ in the heart, suggesting that depolarization caused cardiac arrest. These data suggest that these optogenetic tools can be used to reveal the function and regulation of zebrafish neurons and cardiomyocytes.

Research organism: Zebrafish

Introduction

Cells can respond to various signals by changing their internal states. For example, in the nervous system, neurons respond to neurotransmitters to increase or decrease ions and/or chemical mediators such as cAMP and cGMP in the cytoplasm. Similarly, cardiomyocyte function is regulated by sympathetic and parasympathetic nerves that involve noradrenergic and cholinergic receptors, respectively, and control chemical mediators such as cAMP. To understand the regulation of cell and tissue functions, it is necessary to manipulate intracellular ions and cAMP/cGMP at a precise timing and locations, and examine their effects on cell and tissue functions in vivo.

Optogenetics is a rapidly expanding technology that controls or detects cellular functions by using photoreactive proteins that are genetically expressed in cells. Microbial rhodopsins have been used for optogenetics (Kandori, 2020; Kandori, 2021). Two main types of microbial rhodopsins are used in optogenetics. The first includes microbial rhodopsins with ion-transporting properties such as light-gated ion channels (channelrhodopsins [ChRs]) and light-driven ion pumps, while the other includes microbial rhodopsins with enzymatic activity, that is, enzymorhodopsins (Figure 2B).

Among the ChRs, channelrhodopsin 1 and 2 (CrChR1 and CrChR2), which are light-gated cation channels, were identified from the green alga Chlamydomonas reinhardtii (Nagel et al., 2002; Sineshchekov et al., 2002; Suzuki et al., 2003). When CrChR1 and CrChR2 were expressed in Xenopus oocytes, they functioned as light-gated cation-selective channels (Nagel et al., 2002; Nagel et al., 2003). CrChR2 was used to depolarize mammalian cells in response to light (Boyden et al., 2005; Ishizuka et al., 2006). Thereafter, variants of CrChR2 or chimeric forms of CrChR1 and CrChR2 were developed to improve the efficiency of expression and induce higher activity than the original CrChR1 and CrChR2 (Berndt et al., 2011; Deisseroth, 2011; Ernst et al., 2014; Wang et al., 2009). These efforts have made CrChRs the most commonly used optogenetic tools to induce depolarization in neurons and mimic neuronal activation through ion channel-type neurotransmitter receptors. However, there are some limitations when using CrChRs as optogenetic tools. The ion selectivity of CrChR2 is much higher for H+ than Na+ (Nagel et al., 2003). If pH inside and outside the cell differs, CrChR2 acts as an H+ channel rather than an Na+ channel. As CrChR2 is permeable to Ca2+ to some extent (Nagel et al., 2003), neuronal activation by CrChR2 leads to both depolarization and activation of the Ca2+ pathway, making it difficult to distinguish between the two effects. GtCCR4 is a light-gated cation channel derived from the cryptophyte Guillardia theta (Govorunova et al., 2016; Yamauchi et al., 2017). The light sensitivity of GtCCR4 is higher than that of CrChR2 while the channel open lifetime lies in the same range as that of CrChR2 when expressed in mammalian neuronal cells. Since GtCCR4 conducts almost no H+ and no Ca2+ under physiological conditions, GtCCR4 is a high Na+-selective ChR (Hososhima et al., 2020; Shigemura et al., 2019). KnChR is another cation ChR derived from the filamentous terrestrial alga Klebsormidium nitens (Tashiro et al., 2021). Truncation of the carboxy-terminal of KnChR prolonged the channel open lifetime by more than 10-fold, providing strong light-induced channel activity (Tashiro et al., 2021). These findings imply that GtCCR4 and truncated variants of KnChR are alternative optogenetic tools that can compensate for the shortcomings of CrChRs or display stronger photo-inducing activity than CrChRs (Hososhima et al., 2020; Tashiro et al., 2021). In addition to these, the activity of several ChRs, including CoChR and ChrimsonR, has been studied in zebrafish neurons, but these have not been compared directly with GtCCR4 or KnChR (Antinucci et al., 2020).

Among the microbial enzymorhodopsins (Mukherjee et al., 2019; Tsunoda et al., 2021), BeGC1 is a rhodopsin guanylyl cyclase (Rh-GC) derived from the aquatic fungus Blastocladiella emersonii and is responsible for its zoospore phototaxis (Avelar et al., 2014). BeGC1 functions as a light-activated guanylyl cyclase. BeGC1 shows a rapid light-triggered increase in cGMP when expressed in Xenopus oocytes, mammalian cell lines and neurons, and Caenorhabditis elegans (Gao et al., 2015; Scheib et al., 2015). Furthermore, when BeGC1 was co-expressed with cyclic nucleotide-gated channel (CNG) in neurons, photoactivation of BeGC1 depolarized the neurons and evoked behavioral responses in C. elegans (Gao et al., 2015), suggesting the feasibility of BeGC1-mediated optogenetic control of neural functions.

In addition to enzymerhodopsins, photoactivated adenylyl cyclases (PACs) have also been used to regulate intracellular cyclic nucleotides in cells (Iseki and Park, 2021). PACs are flavoproteins that catalyze the production of cAMP in response to light stimulation. PACs from the sulfur bacterium Beggiatoa sp. (bPAC) (Losi and Gärtner, 2008) and the cynobacterium Oscillatoria acuminata (OaPAC) (Ohki et al., 2016) are well characterized. Both bPAC and OaPAC have a BLUF (sensors of blue-light using the flavin adenine nucleotide) domain and an adenylyl cyclase catalytic domain (Figure 2B). When expressed in Escherichia coli (Ryu et al., 2010), Xenopus oocytes, rat hippocampus neurons, and adult fruit flies (Stierl et al., 2011), bPAC acted as a light-dependent adenylyl cyclase. When bPAC was expressed in zebrafish interrenal cells, which is the teleost homologue of adrenal gland cells, cortisol increased in a light-dependent manner (Gutierrez-Triana et al., 2015). bPAC was also used for light-dependent control of sperm motility in mice (Jansen et al., 2015), the release of neurotransmitter in C. elegans neurons (Steuer Costa et al., 2017), and the control of developmental processes of Dictyostelium discoideum (Tanwar et al., 2017). Compared to bPAC, OaPAC showed lower minimum photoactivity in the dark and lower maximum photoactivity upon light stimulation when expressed in HEK293 cells (Ohki et al., 2016). Nevertheless, OaPAC induced light-dependent axon growth in rat hippocampal neurons (Ohki et al., 2016). These experimental findings indicate that bPAC and OaPAC are useful optogenetic tools, although their activity in other cell types and animals is unknown. Specifically, the effectiveness of bPAC and OaPAC in a variety of zebrafish cells remains unclear.

In this study, we expressed the ChRs GtCCR4 and KnChR, enzymorhodopsin BeGC1, and two PACs, bPAC and OaPAC, in hindbrain reticulospinal V2a neurons (Kimura et al., 2013), which are involved in the induction of swimming behavior, and in cardiomyocytes using the zebrafish Gal4-UAS system (Asakawa et al., 2008), and examined their optogenetic activities. Our findings suggest that the optogenetic control using these tools provides a way to analyze the function and regulation of zebrafish neurons and cardiomyocytes in vivo.

Results

Optogenetic activation of cultured neuronal cells by ChRs

To express rhodopsins in vivo, fluorescence markers are useful to confirm expression in target cells. We tested two methods for marking rhodopsin-expressing cells: expression as a fusion protein with a fluorescent protein, and expression of epitope (e.g. Myc and Flag)-tagged rhodopsin and fluorescent protein separately using a viral 2A (P2A) peptide system. We expressed a fusion protein of GtCCR4-3.0-EYFP, which contains the membrane-trafficking signal and the endoplasmic reticulum (ER)-export signal from a Kir2.1 potassium channel (Gradinaru et al., 2010; Hoque et al., 2016), or Myc-tagged GtCCR4 (GtCCR4-MT) and TagCFP separately in neuronal ND7/23 cells, which are a hybrid cell line derived from rat neonatal dorsal root ganglia neurons fused with mouse neuroblastoma (Wood et al., 1990). We also compared the optogenetic activity of KnChR-3.0-EYFP whose biophysical properties were previously analyzed (Tashiro et al., 2021). Since carboxy terminal truncations of KnChR were shown to prolong the channel open lifetime and result in stronger optogenetic activity (Tashiro et al., 2021), a truncated KnChR containing 272 amino acids from the N-terminus was expressed as a fusion protein containing the membrane-trafficking signal, the ER-export signal, and EYFP (KnChR-3.0-EYFP). CrChR2[T159C]-mCherry, CoChR-tdTomato, and ChrimsonR-tdTomato were employed as positive controls to compare the tools investigated in this study (Antinucci et al., 2020; Berndt et al., 2011). We irradiated transfected cells with 511 nm light (GtCCR4-3.0-EYFP, GtCCR4-MT), 469 nm light (KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, CoChR-tdToamto), or 590 nm light (ChrimsonR-tdTomato). As was reported with GtCCR4-EGFP (Hososhima et al., 2020; Shigemura et al., 2019; Yamauchi et al., 2017), when GtCCR4-3.0-EYFP or GtCCR4-MT-P2A-TagCFP were photoactivated in ND7/23 cells, they induced a peak photocurrent that was comparable to that of KnChR-3.0-EYFP and CrChR2[T159C]-mCherry, higher than that of ChrimsonR-tdTomato, and lower than that of CoChR-tdTomato (Figure 1A and B). Peak and steady-state photocurrents were not significantly different in cells expressing GtCCR4-3.0-EYFP and GtCCR4-MT (Figure 1B), suggesting that photoactivation of GtCCR4 from both constructs became immediately saturated. Channel-closing kinetics after shutting-off light (τoff) was equally fast for GtCCR4-3.0-EYFP, GtCCR4-MT, CrChR2[T159C]-mCherry, and CoChR-tdTomato, and was faster than that observed for KnChR-3.0-EYFP, but slower than that of ChrimsonR-tdTomato (Figure 1C). Spectrum analysis revealed that GtCCR4-3.0-EYFP responded to light of slightly longer wavelengths than KnChR-3.0-EYFP and CrChR2[T159C]-mCherry, but to shorter wavelengths for ChrimsonR-tdTomato (Figure 1D). The half-saturation maximum (EC50) of peak and steady-state photocurrents was lower in GtCCR4-3.0-EYFP than in CrChR2[T159C]-mCherry and ChrimsonR-tdTomato, but comparable to that of CoChR-tdTomato (Figure 1E, Figure 1—figure supplement 1), suggesting that GtCCR4-3.0-EYFP responded to weaker light stimulation than CrChR2[T159C]-mCherry and ChrimsonR-tdTomato. These data indicate that GtCCR4-3.0-EYFP, GtCCR4-MT, and KnChR-3.0-EYFP are highly sensitive tools comparable to CoChR-3.0-EYFP, CrChR2[T159C]-mCherry and ChrimsonR-tdTomato. In addition, GtCCR4-3.0-EYFP and GtCCR4-MT in cultured cells can be activated by light of wavelengths between those of CrChR2[T159C]-mCherry and ChrimsonR-tdTomato.

Figure 1. Photocurrent properties of channelrhodopsins.

(A) Representative photocurrent traces of GtCCR4-3.0-EYFP (GtCCR4-3.0), GtCCR4-MT-P2A-TagCFP (GtCCR4-MT), KnChR, CrChR2[T159C], CoChR, and ChrimsonR. Electrophysiological recordings were performed. Membrane voltage was clamped at –60 mV. Illumination sources were 511 nm light (GtCCR4-3.0, GtCCR4-MT), 469 nm light (KnChR, CrChR2[T159C], CoChR), and 590 nm light (ChrimsonR) at 1.4 mW/mm2. (B) Photocurrent amplitude. Gray bar: peak photocurrent (Ip); white bar: steady state photocurrent (Iss) (n = 6–9). Wilcoxon rank-sum test (CrChR2[T159C]-mCherry Ip vs. Iss, p=0.025; CoChR-tdTomato Ip vs. GtCCR4-3.0-EYFP Ip, p=0.025; ChrimsonR Ip vs. GtCCR4-3.0-EYFP Ip, p=0.049). (C) Comparison of the channel closing kinetics after shutting-off light (τoff) (n = 6–9), Wilcoxon rank-sum test (KnChR-EYFP vs. GtCCR4-3.0-EYFP, p=0.0002; ChrimsonR vs. GtCCR4-3.0-EYFP, p=0.0004). (D) The action spectrum of GtCCR4-3.0 (green circle), KnChR (blue circle), CrChR2[T159C] (purple circle), CoChR (light blue circle), and ChrimsonR (red circle). Illumination sources were 385, 423, 469, 511, 555, 590, or 631 nm light at 1.4 mW/mm2 (GtCCR4-3.0, CrChR2[T159C]) or 0.14 mW/mm2 (KnChR, CoChR, ChrimsonR) (n = 5–10). (E) Half saturation maximum (EC50) of the peak photocurrent (gray bar) and the steady-state photocurrent (white bar) are shown (n = 5, 6), Wilcoxon rank-sum test (CrChR2[T159C]-mcherry Ip vs. Iss, p=0.0079; CrChR2[T159C]-mCherry Ip vs. GtCCR4-3.0-EYFP Ip, p=0.0086; ChrimsonR Ip vs. GtCCR4-3.0-EYFP Ip, p=0.0021; ChrimsonR Iss vs. GtCCR4-3.0-EYFP Iss, p=0.0021). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0005, Mean and SEM are indicated.

Figure 1—source data 1. Data for Figure 1, photocurrent properties of ChRs.

Figure 1.

Figure 1—figure supplement 1. Light power dependency of photocurrent amplitude of GtCCR4-3.0 (A), KnChR (B), CrChR2[T159C] (C), CoChR (D), and ChrimsonR (E).

Figure 1—figure supplement 1.

Photocurrent amplitude at − 60 mV was plotted as a function of light power. 511 nm light (A), 469 nm light (B, C), and 590 nm light (D) were illuminated. Filled circle: peak photocurrent; open circle: steady-state photocurrent (n = 5, 6). Error bars indicate standard errors of the mean (SEMs).
Figure 1—figure supplement 1—source data 1. Data for Figure 1—figure supplement 1, light power dependencies of photo current amplitude of ChRs.

Optogenetic activation of zebrafish locomotion circuit by GtCCR4 and KnChR

We expressed GtCCR4 and KnChR in the hindbrain reticulospinal V2a neurons of zebrafish, which were reported to drive locomotion (Kimura et al., 2013) by using a Gal4-UAS system (Figure 2A). We compared the activities of these ChRs with those of CrChR2[T159C]-mCherry, CoChR-tdTomato, and ChrimsonR-tdTomato. We crossed a transgenic (Tg) zebrafish Tg(vsx2:GAL4FF), which is also known as Tg(chx10:GAL4) and expresses a modified transcription factor Gal4-VP16 in the hindbrain reticulospinal V2a neurons (Kimura et al., 2013), with Tg lines carrying optogenetic tools that are expressed under the control of 5xUAS (upstream activating sequences of yeast Gal1 gene) and the zebrafish hsp70l promoter (Muto et al., 2017). Since transgene-mediated protein expression depends on the nature of the introduced gene, as well as the transgene-integrated sites and copy number, we established multiple Tg lines and analyzed stable Tg lines (F1 or later generations) with the highest tool expression for each tool. The expression of the fusion proteins, composed of a ChR and a fluorescent protein, in the hindbrain reticulospinal V2a neurons were detected under an epifluorescent stereomicroscope. Despite differences in expression between lines, immunohistochemistry with anti-fluorescent protein (anti-GFP and DsRed antibodies for EYFP and RFP/mCherry, respectively) and anti-MT antibodies revealed that in the reticulospinal V2a neurons, GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, and CrChR2[T159C]-mCherry were similarly expressed, and GtCCR4-MT was expressed more strongly (Figure 2C, Table 1). KnChR-3.0-EYFP demonstrated mosaic expression (Figure 2C). The detection of fluorescence in CoChR-tdTomato and ChrimsonR-tdTomato indicated that these ChRs were also expressed adequately in the reticulospinal V2a neurons (Figure 2C). We irradiated a hindbrain area of 3 days post fertilization (dpf) Tg larvae expressing GtCCR4-3.0-EYFP, GtCCR4-MT, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, CoChR-tdTomato, and ChrimsonR-tdTomato with light of 520 nm (GtCCR4, ChrimsonR) and 470 nm (KnChR, CrChR2[T159C], and CoChR) for 100 ms (Figures 2A and D and 3A–E, Table 1, Figure 2—videos 1–6). We measured the rate at which light stimulation induced tail movements (locomotion rate, Figure 3A, Figure 3—figure supplement 3), the time from stimulation to the onset of tail movements (latency, Figure 3B, Figure 3—figure supplement 2), the duration of tail movements (Figure 3C), and the amplitude of tail movements (Figure 3D). To examine photosensitivity of these ChRs, we also irradiated them with light of various intensities and examined corresponding tail movements (Figure 3E, Figure 3—figure supplements 13).

Figure 2. Optogenetic activation of hindbrain reticulospinal V2a neurons and cardiomyocytes by channelrhodopsins.

(A) Schematic of experimental devices. A larva was embedded in agarose. The hindbrain region or the heart were irradiated with light. Tail (caudal fin) movements and heartbeats were monitored by a high-speed camera with infrared light. (B) Schematic diagram of optogenetic tools used in this study. GC, guanylyl cyclase; AC, adenylyl cyclase; BLUF, sensors of blue-light using FAD. (C) Expression of GtCCR4-3.0-EYFP, GtCCR4-MT, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, CoChR-tdTomato, and ChrimsonR-tdTomato in the zebrafish hindbrain reticulospinal V2a neurons. 3 dpf (day post fertilization) Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:GtCCR4-3.0-EYFP, GtCCR4-MT-P2A-TagCFP, KnChR-3.0-EYFP, or CrChR2[T159C]-mCherry, myl7:mCherry) larvae were fixed and stained with anti-GFP (EYFP, green), anti-Myc tag (green) or anti-DsRed (RFP, magenta) antibodies. For CoChR and ChrimsonR, fluorescent images of the hindbrain of Tg(vsx2:GAL4FF);Tg(UAS:CoChR-tdTomato, or UAS-hsp70l:ChrimsonR-tdTomato, myl7:mCherry) larvae are shown. Inset: higher magnification images for the boxed areas showing double-labeled neurons. (D) Tail movements of 3-dpf Tg larvae expressing GtCCR4-3.0-EYFP, GtCCR4-MT, KnChR-3.0-EYFP, and CrChR2[T159C]-mCherry, CoChR-tdTomato, and ChrimsonR-tdTomato in the reticulospinal V2a neurons after stimulation of the hindbrain area with LED (0.4 mW/mm2) light with a wavelength of 520 nm (GtCCR4-3.0-EYFP, GtCCR4-MT, ChrimsonR-tdTomato) and 470 nm (KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, CoChR-tdTomato) for 100 ms. Light stimulations started at time 0 s. Typical examples are shown. Scale bars = 150 μm in (C), 5 μm in the insets of (C).

Figure 2—source data 1. Data for Figure 2D, tail movements of Tg larvae expressing ChRs.

Figure 2.

Figure 2—video 1. Tail movements in a larva expressing CrChR2[T159C]-mCherry in reticulospinal V2a neurons.
Download video file (180.1KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF); Tg(UAS-hsp70l:CrChR2[T159C]-mCherry, myl7:mCherry) larva was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 2—video 2. Tail movements in a larva expressing GtCCR4-3.0-EYFP in reticulospinal V2a neurons.
Download video file (240.3KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF); Tg(UAS-hsp70l:GtCCR4-3.0-EYFP, myl7:mCherry) larva was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.
Figure 2—video 3. Tail movements in a larva expressing GtCCR4-MT-P2A-TagCFP in reticulospinal V2a neurons.
Download video file (200.9KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:GtCCR4-MT-P2A-TagCFP, myl7:mCherry) larva was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.
Figure 2—video 4. Tail movements in a larva expressing KnChR-3.0-EYFP in reticulospinal V2a neurons.
Download video file (137.9KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:KnChR-3.0-EYFP, myl7:mCherry) larva was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 2—video 5. Tail movements in a larva expressing CoChR-tdTomato in reticulospinal V2a neurons.
Download video file (93.1KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS:CoChR-tdTomato), larva was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 2—video 6. Tail movements in a larva expressing ChrimsonR-tdTomato in reticulospinal V2a neurons.
Download video file (146.1KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:ChrimsonR-tdTomato, myl7:mCherry) larva was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.

Table 1. Optogenetic tools.

Microbial optogenetic tools were expressed in the hindbrain reticulospinal V2a neurons or cardiomyocytes using the Gal4-UAS system.

The expression levels of the tools were determined by immunostaining with anti-tag (MT or Flag) antibodies or anti-fluorescent marker antibodies (anti-GFP and anti-DsRed for EYFP/EGFP and mCherry, respectively) (+, weak; ++, medium; +++, strong expression). The light stimulus-dependent responses (induced swimming or cardiac arrest) are indicated by the percentage of fish that responded to light stimuli. As controls, the responses of sibling larvae that did not express the tools were also examined. ND, not determined.

Type Tool name Origin Detection Stimulation light (nm) V2a neurons Heart
Expression Swimming response (control) Expression Cardiac response(control)
Channelrhodopsin
Cation GtCCR4-
3.0-EYFP
Guillardia theta EYFP fusion 520 ++ 62.5%, n = 8
(14.6%, n = 8)
+++ 100%, n = 4
(0%, n = 4)
Cation GtCCR4-MT Guillardia theta MT-P2A-TagCFP 520 +++ 50.0%, n = 8
(8.33%, n=8)
ND ND
Cation KnChR-3.0-EYFP Klebsormidium nitens EYFP fusion 470 ++* 100%, n = 8
(8.33%, n = 8)
+++ 100%, n = 4
(0%, n = 4)
Cation CrChR2 [T159C]-mCherry Chlamydomonas reinhardtii mCherry fusion 470 ++ 67.4%, n = 12
(25.0%, n = 8)
+ 100%, n = 4
(0%, n = 4)
Cation CoChR-tdTomato Chloromonas oogama tdTomato fusion 470 +++ 100%, n = 8
(2.08%, n = 8)
ND 100%, n = 4
Cation ChrimsonR-tdTomato Chlamydomonas noctigama tdTomato fusion 520 ++ 23.8%, n = 8
(6.25%, n = 8)
ND 100%, n = 4
Anion GtACR1-EYFP Guillardia theta EYFP fusion 520 ++ 80.5%, n = 6 §
(13.2%, n = 6)
+++ 100%, n = 4
(0%, n = 4)
Enzymorhodopsin
Guanyly cyclase BeGC1-EGFP Blastocladiella emersonii EGFP fusion 520 +++ 53.5%, n = 8
(10.4%, n = 8)
+++** 0%, n = 102††
(ND)
Photoactivated adenylyl cyclase
Adenylyl cyclase bPAC-MT Beggiatoa MT-T2A-tDimer 470 ++ 60.6%, n = 8
(26.2%, n = 8)
+++ 100%, n = 4 ‡ ‡
(ND)
Adenylyl cyclase OaPAC-Flag Oscillatoria acuminata Flag-P2A-TagCFP 470 ++ 42.5%, n = 8
(15.4%, n = 8)
+++ 0%, n = 104 § §
(ND)
*

Expression of KnChR-3.0-EYFP was mosaic.

Expression of CoChR-tdTomato and ChrimsonR-tdTomato was detected by observation with an epifluorescent stereomicroscope.

Expression was confirmed by detecting EYFP.

§

The percentages of spontaneous tail movements elicited by white light that was inhibited by rhodopsin activation (locomotion-inhibition trials) are indicated (no rhodopsin activation was used as the control).

Expression of CrChR2 [T159C]-mCherry was detected by qPCR.

**

The expression of BeGC1-EGFP was determined by observation with an epifluorescent microscope MZ16 FA and a fluorescence detection filter (460–500 nm, Leica).

††

Cardiac arrest was not induced with 490–510 nm, 530–560 nm (epifluorescent stereomicroscope-equipped light source, n = 100), or 520 nm (LED) light stimuli (n = 2).

‡ ‡

Light stimulation with 470 nm LED light for 5 s induced bradycardia, which took a few minutes to return to normal heartbeats.

§ §

Stimulation with 460–500 nm (epifluorescent stereomicroscope-equipped light source, n = 100) or 470 nm LED light (n = 4) induced neither cardiac arrest nor bradycardia, while stimulation with 470 nm LED light occasionally induced transient tachycardia for a few seconds (n = 2).

Figure 3. Optogenetic activation of hindbrain reticulospinal V2a neurons by GtCCR4, KnChR, and CrChR2[T159C].

(A) Light stimulation-dependent locomotion rates of 3-dpf Tg larvae expressing GtCCR4-3.0-EYFP, GtCCR4-MT, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry. The hindbrain area was irradiated with light (0.4 mW/mm2) with a wavelength of 520 nm (GtCCR4-3.0-EYFP and GtCCR4-MT) or 470 nm (KnChR-3.0-EYFP and CrChR2[T159C]-mCherry) for 100 ms. Six consecutive stimulation trials were analyzed for eight rhodopsin-expressing and non-expressing (control) larvae of each Tg line. The average locomotion rates for each larva are shown, Wilcoxon rank-sum test (GtCCR4-3.0-EYFP vs. control, p=0.00166; GtCCR4-MT vs. control, p=0.00216; KnChR-EYFP vs. control, p=0.000266; CrChR2[T159C]-mCherry vs. control, p=0.0246). (B–D) Latency (B), duration (C), and strength (D) of tail movements. The time from the start of light stimulation to the first tail movement was defined as latency (s), and the time from the start of the first tail movement to the end of that movement was defined as duration (s). The maximum distance that the caudal fin moved from the midline divided by body length was measured as representative of its strength. One-way ANOVA with Tukey’s post hoc test (latency GtCCR4-3.0-EYFP vs. CrChR2[T159C]-mCherry, p=0.0115; GtCCR4-3.0-EYFP vs. KnChR-EYFP, p=0.0128; strength GtCCR4-3.0-EYFP vs. KnChR-EYFP, p=0.00601; GtCCR4-MT vs. KnChR-EYFP, p=0.00181; KnChR-EYFP vs. CrChR2[T159C]-mCherry, p=4.00e-06). (E) Locomotion evoked by light of various light intensities. The hindbrain area was irradiated with light at 0.4, 0.2, or 0.1 mW/mm2. Six consecutive trials were analyzed for 4–6 rhodopsin-expressing larvae for each Tg (n = 6 for GtCCR4-3.0-EYFP and KnChR-3.0-EFYP; n = 5 for CrChR2[T159C]-mCherry). Light stimulation experiments at 0.2 and 0.1 mW/mm2 were conducted only on larvae that exhibited evoked locomotion three or more times in response to the initial light stimulation at 0.4 mW/mm2. One-way ANOVA with Tukey’s post hoc test (GtCCR4-3.0-EYFP: 0.4 mW/mm2 vs. 0.1 mW/mm2, p=1.03e-05, 0.4 mW/mm2 vs. 0.2 mW/mm2, p=4.39e-05; CrChR2[T159C]-mCherry: 0.4 mW/mm2 vs. 0.1 mW/mm2, p=0.0185). *p<0.05, **p<0.01, ***p<0.001, ns: not significant. Means and SEMs are indicated.

Figure 3—source data 1. Data for Figure 3, optogenetic activation of hindbrain reticulospinal V2a neurons by ChRs.

Figure 3.

Figure 3—figure supplement 1. Latency of locomotion in ChR-expressing and non-expressing larvae.

Figure 3—figure supplement 1.

The hindbrain of 3-dpf larvae expressing GtCCR4-3.0-EYFP, GtCCR4-MT, or KnChR-3.0-EYFP, and non-expressing sibling control larvae was irradiated with light (520 nm for GtCCR4-3.0-EYFP, GtCCR4-MT and 470 nm for KnChR-3.0-EYFP) for 100 ms. Six consecutive stimulation trials were analyzed for eight rhodopsin-expressing and non-expressing control larvae of each line (48 trials for each condition). Latency was measured as the tail movements observed within 8 s after the onset of light stimulation and plotted in a graph. The number of tail movements was 28 and 7 for GtCCR4-3.0-EYFP and the control, 24 and 4 for GtCCR4-MT and the control, and 25 and 4 for KnChR-3.0-EYFP and the control, respectively.
Figure 3—figure supplement 1—source data 1. Data for Figure 3—figure supplement 1, latency of locomotion in ChR-expressing and non-expressing larvae.
Figure 3—figure supplement 2. Latency and duration of locomotion induced with channelrhodopsins (ChRs) by light of various light intensities.

Figure 3—figure supplement 2.

Latency (A) and duration (B) of evoked tail movements. The hindbrain area of 3-dpf Tg larvae expressing GtCCR4-3.0, KnChR-3.0, and CrChR2[T159C] and control larvae (non-expressing sibling larvae) were irradiated by light of different light intensities. Six consecutive stimulation trials were analyzed for eight rhodopsin-expressing and non-expressing (control) larvae of each Tg line. One-way ANOVA with Tukey’s post hoc test (latency GtCCR4-3.0-EYFP 0.4 mW/mm2 vs. 0.2 mW/mm2, p=0.00571; KnChR-3.0-EYFP 0.4 mW/mm2 vs. 0.2 mW/mm2, p=0.00553; 0.4 mW/mm2 vs. 0.1 mW/mm2, p=5.26e-06; 0.2 mW/mm2 vs. 0.1 mW/mm2, p=0.00469). **p<0.01, ***p<0.001, ns: not significant. Means and SEMs are indicated.
Figure 3—figure supplement 2—source data 1. Data for Figure 3—figure supplement 2, latency and duration of locomotion induced with ChRs by light of various intensities.
Figure 3—figure supplement 3. Optogenetic activation of hindbrain reticulospinal V2a neurons by CoChR and ChrimsonR.

Figure 3—figure supplement 3.

(A) Light stimulation-dependent locomotion rates of 3-dpf Tg larvae expressing CoChR-tdTomato and ChrimsonR-tdTomato. The hindbrain area was irradiated with light (0.4 mW/mm2) with a wavelength of 470 nm (CoChR-tdTomato) or 520 nm (ChrimsonR-tdTomato) for 100 ms. Six consecutive stimulation trials were analyzed for eight rhodopsin-expressing and eight non-expressing (control) larvae of each Tg line. The average locomotion rates for each larva are shown. Wilcoxon rank-sum test (CoChR-tdTomato vs. control, p=0.000205; ChrimsonR vs. control, p=0.0509). (B–D) Latency (B), duration (C), and strength (D) of tail movements. Welch’s t-test (strength CoChR-tdTomato vs. ChrimsonR; p=0.00463). (E) Rate of locomotion induced with CoChR-tdTomato by light of various light intensities. **p<0.01, ***p<0.001, ns: not significant. Means and SEMs are indicated.
Figure 3—figure supplement 3—source data 1. Data for Figure 3—figure supplement 3, optogenetic activation of V2a neurons by CoChR and ChrimsonR.

Light stimulation of the reticulospinal V2a neurons with CrChR2[T159C]-mCherry immediately evoked tail movements (locomotion rate 67.4 ± 11.8%, latency 0.109 ± 0.0311 s, Figure 3A and B, Figure 2—video 1). Light stimulation with GtCCR4-3.0-EYFP and GtCCR4-MT evoked tail movements at comparable locomotion rates, although it took more time than CrChR2[T159C]-mCherry (GtCCR4-3.0-EYFP locomotion rate 62.5 ± 8.77%, latency 1.59 ± 0.536 s; GtCCR4-MT locomotion rate 50 ± 8.91%, latency 1.16 ± 0.445 s, Figure 3A and B, Figure 3—figure supplement 1, Figure 2—videos 2 and 3). Light stimulation with these ChRs induced transient tail movements (duration: GtCCR4-3.0-EYFP 0.698 ± 0.263 s, GtCCR4-MT 1.51 ± 0.414 s, CrChR2[T159C]-mCherry 2.17 ± 1.19 s, Figure 3C). The strength of the tail movements was not significantly different between GtCCR4-3.0-EYFP/GtCCR4-MT and CrChR2[T159C]-mCherry (GtCCR4-3.0-EYFP 0.642 ± 0.0555, GtCCR4-MT 0.605 ± 0.0796, CrChR2[T159C]-mCherry 0.404 ± 0.0629, Figure 3D), suggesting comparable photo-inducible activities of GtCCR4 and CrChR2[T159C] in the reticulospinal V2a neurons. As the activity of GtCCR4-3.0-EYFP was slightly higher than that of GtCCR4-MT (Figure 2C), we used GtCCR4-3.0-EYFP for further analysis. We found that KnChR-3.0-EYFP was a more potent tool for activating the zebrafish locomotion system than GtCCR4-3.0-EYFP, CrChR2[T159C]-mCherry, and ChrimsonR-tdTomato (Figure 3 and Figure 3—figure supplements 13). In all trials of all larvae, light stimulation of KnChR immediately evoked tail movements (locomotion rate 100 ± 0%, latency 0.0198 ± 0.00357 s, and duration 0.661 ± 0.0733 s, Figures 2D and 3A–C, Figure 2—video 4). The strength of evoked tail movements with KnChR-3.0-EYFP was stronger than that of GtCCR4-3.0-EYFP, GtCCR4-MT, CrChR2[T159C]-mCherry, and ChrimsonR-tdTomato, and comparable to that of CoChR-tdTomato (Figure 3D, Figure 3—figure supplement 3). Stimulation with GtCCR4-3.0-EYFP or CrChR2[T159C]-mCherry by light of lower intensities (0.1 mW/mm2) reduced locomotion rate, while that with KnChR-3.0-EYFP or CoChR-tdTomato still induced tail movements in all trials (Figure 3E, Figure 3—figure supplement 3). These data indicate that the optogenetic activity of KnChR-3.0-EYFP was as strong as that of CoChR-tdTomato in zebrafish reticulospinal V2a neurons.

Optogenetic control of zebrafish heart by GtCCR4 and KnChR

We next examined the optogenetic activity of GtCCR4 and KnChR in cardiomyocytes, comparing it with that of the cation ChR CrChR2[T159C], CoChR, and ChrimsonR, and the anion ChR GtACR1 (GtACR1-EYFP), which enables the induction of hyperpolarization in cells (Govorunova et al., 2015). We expressed these ChRs in zebrafish cardiomyocytes by using Tg(myl7:GAL4FF), in which GAL4FF was expressed under the promoter of the cardiac myosin light chain gene myl7, and the UAS Tg lines. We established multiple Tg lines for each tool and used Tg lines with the highest tool expression level in cardiomyocytes. The expression of the fusion proteins, composed of ChR and fluorescent protein, in cardiomyocytes was detected under an epifluorescent stereomicroscope. Immunostaining with antifluorescent protein antibody revealed comparable expression of GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, and GtACR1-EYFP in 4-dpf Tg larvae (Figure 4A, Table 1). Stimulation of the entire heart area of 4-dpf Tg larvae expressing ChRs with light (520 nm for GtCCR4, GtACR1, and ChrimsonR; 470 nm for KnChR, CrChR2[T159C], and CoChR) for 100 ms induced cardiac arrest in all six trials, with some differences in latency (Figures 4B and C and 5A and B, Figure 4—videos 1–6). The latency of cardiac arrest induced by stimulation with these ChRs was short, especially that of KnChR-3.0-EYFP, which was shorter than that of GtACR1-EYFP (GtCCR4-3.0-EYFP 163 ± 12 ms, KnChR-3.0-EYFP 55.2 ± 13.4 ms, CrChR2[T159C]-mCherry 112 ± 8.72 ms, GtACR1-EYFP 243 ± 48.8 ms, CoChR-tdTomato 215 ± 31.4 ms, ChrimsonR-tdTomato 212 ± 55.2 ms, Figure 5B, Figure 5—figure supplement 2).

Figure 4. Cardiac arrest induced with GtCCR4-3.0, KnChR, CrChR2[T159C], and GtACR1.

(A) Expression of GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, and GtACR1-EYFP in cardiomyocytes of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, or GtACR1-EYFP, myl7:mCherry) larvae. 4-dpf Tg larvae were fixed and stained with anti-GFP (for EYFP, green) or anti-DsRed (for mCherry, magenta) antibodies. Z stacks of confocal images. (B) Heartbeat (HB) monitoring by changes in luminosity (AU, arbitrary units). The entire heart area of 4-dpf Tg larvae was irradiated with light (520 nm for GtCCR4 and GtACR1; 470 nm for KnChR and CrChR2) for 100 ms at a strength of 0.5 mW/mm2. (C) Average of relative HB frequency. The heart area was irradiated at the indicated periods. Six consecutive stimulus trials were analyzed for four rhodopsin-expressing larvae of each Tg line. Relative HB frequency was calculated from HB data during 1 s and 500 ms before and after each time point, so the change in the HB frequency was observed before light stimulation, even though cardiac arrest occurred during light stimulation. Gray shading indicates SEMs. Scale bar = 100 µm in (A).

Figure 4—source data 1. Data for Figure 4, cardiac arrest induced with ChRs.
elife-83975-fig4-data1.xlsx (855.6KB, xlsx)

Figure 4.

Figure 4—video 1. Heart movements in a larva expressing GtCCR4-3.0-EYFP in cardiomyocytes.
Download video file (390KB, mp4)
The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:GtCCR4-3.0-EYFP, myl7:mCherry) was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.
Figure 4—video 2. Heart movements in a larva expressing KnChR-3.0-EYFP in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:KnChR-3.0-EYFP, myl7:mCherry) was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 4—video 3. Heart movements in a larva expressing CrChR2[T159C]-mCherry in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:CrChR2[T159C]-mCherry, myl7:mCherry) was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 4—video 4. Heart movements in a larva expressing GtACR1-EYFP in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:GtACR1-EYFP, myl7:mCherry) was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.
Figure 4—video 5. Heart movements in a larva expressing CoChR-tdTomato in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS:CoChR-tdTomato) was stimulated with 470 nm light for 100 ms. The timing of light stimulation is indicated by a blue circle.
Figure 4—video 6. Heart movements in a larva expressing ChrimsonR-tdTomato in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:ChrimsonR-tdTomato, myl7:mCherry) was stimulated with 520 nm light for 100 ms. The timing of light stimulation is indicated by a green circle.

Figure 5. Cardiac arrest and resumption of heartbeats with GtCCR4-3.0, KnChR, CrChR2[T159C], and GtACR1.

(A) Cardiac arrest rates of 4-dpf Tg larvae expressing GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, or GtACR1-EYFP in cardiomyocytes. The heart area was irradiated with appropriate light (520 nm for GtCCR4 and GtACR1; 470 nm for KnChR and CrChR2) for 100 ms at a strength of 0.5 mW/mm2. Sibling larvae that did not express the rhodopsins were used as controls. Six consecutive stimulation trials were analyzed for four rhodopsin-expressing larvae and four control larvae of each Tg line, Wilcoxon rank-sum test (GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, and GtACR1-EYFP, p=0.0131). (B, C) Latency to cardiac arrest (B) and time to resumption of HBs (C) after light stimulation with GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, or GtACR1-EYFP. HB data were obtained from the experiments described above (A). One-way ANOVA with Tukey’s post hoc test (latency to cardiac arrest KnChR-3.0-EYFP vs. GtACR1-EYFP, p=0.00144; CrChR2[T159C]-mCherry vs. GtACR1-EYFP, p=0.0190; time to resumption of heartbeat GtCCR4-3.0-EYFP vs. GtACR1-EYFP, p=0.000786; KnChR-3.0-EYFP vs. GtACR1-EYFP, p=0.0189; CrChR2[T159C]-mCherry vs. GtACR1-EYFP, p=0.000236). (D) Light intensity dependence of cardiac arrest rates of 4-dpf Tg larvae expressing GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, GtACR1-EYFP in cardiomyocytes. The heart area was irradiated with light (520 nm for GtCCR4 and GtACR1; 470 nm for KnChR and CrChR2) for 100 ms at a strength of 0.5, 0.2, or 0.05 mW/mm2. Six consecutive stimulation trials were analyzed for four rhodopsin-expressing larvae of each Tg line. One-way ANOVA with Tukey’s post hoc test (GtCCR4-3.0-EYFP: 0.5 mW/mm2 vs. 0.05 mW/mm2; p=0.0222). (E, F) Changes in fluorescence intensity of GCaMP6s (ΔF/F) in the heart of 4-dpf Tg larvae expressing KnChR-3.0-EYFP and GCaMP6s (E), or GtACR1-EYFP and GCaMP6s (F). Sibling larvae that did not express the rhodopsins were used as the control. The heart area of Tg larvae was stimulated with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm). Two rhodopsin-expressing larvae (green) and two control larvae (black) were analyzed for each rhodopsin. Three trials were analyzed for each larva. The linear mixed-effects model was used for statistical analysis. *p<0.05, **p<0.01, ***p<0.001, ns: not significant. Means and SEMs are indicated.

Figure 5—source data 1. Data for Figure 5, cardiac arrest and resumption of heartbeats with ChRs.
elife-83975-fig5-data1.xlsx (188.5KB, xlsx)

Figure 5.

Figure 5—figure supplement 1. Cardiac arrest induced with channelrhodopsins (ChRs) by light of various intensities.

Figure 5—figure supplement 1.

Latency to cardiac arrest (A) and time to resumption of heartbeats (B) after light stimulation with ChRs. The heart area of 4-dpf Tg larvae expressing GtCCR4-3.0-EYFP, KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, or GtACR1-EYFP was irradiated with light (520 nm for GtCCR4, GtACR1; 470 nm for KnChR, CrChR2) for 100 ms at a strength of 0.5, 0.2, or 0.05 mW/mm2. Six consecutive stimulation trials were analyzed for four rhodopsin-expressing larvae of each Tg line. One-way ANOVA with Tukey’s post hoc test (time to resumption of heartbeat GtACR1-EYFP 0.5 mW/mm2 vs. 0.05 mW/mm2, p=0.0240). *p<0.05, ns: not significant. Means and SEMs are indicated.
Figure 5—figure supplement 1—source data 1. Data for Figure 5—figure supplement 1, cardiac arrest induced with ChRs by light of various intensities.
Figure 5—figure supplement 2. Cardiac arrest induced with CoChR and ChrimsonR.

Figure 5—figure supplement 2.

(A) Cardiac arrest rate. The heart area of 4-dpf Tg larvae expressing CoChR-tdTomato or ChrimsonR-tdTomato was irradiated with light (470 nm for CoChR; 520 nm for ChrimsonR) for 100 ms at a strength of 0.5, 0.2, or 0.05 mW/mm2. Six consecutive stimulation trials were analyzed for four rhodopsin-expressing larvae of each Tg line. (B, C) Latency to cardiac arrest (B) and time to resumption of heartbeats (C) after light stimulation with optogenetic tools. One-way ANOVA with Tukey’s post hoc test was used for statistical analysis. ns: not significant. Means and SEMs are indicated.
Figure 5—figure supplement 2—source data 1. Data for Figure 5—figure supplement 2, cardiac arrest induced with CoChR and ChrimsonR.
Figure 5—video 1. Ca2+ imaging in the heart of a larva expressing KnChR-3.0-EYFP and GCaMP6s in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:KnChR-3.0-EYFP, myl7:mCherry);Tg(UAS-hsp70l:GCaMP6s) was stimulated with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm). GCaMP6s fluorescence was monitored with the same filter set. The fluorescence of GCaMP6s gradually increased.
Figure 5—video 2. Ca2+ imaging in the heart of a larva expressing GtACR1-EYFP and GCaMP6s in cardiomyocytes.
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The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:GtACR1-EYFP, myl7:mCherry);Tg(UAS-hsp70l:GCaMP6s) was stimulated with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm). GCaMP6s fluorescence, which was monitored with the same filter set, gradually decreased.

Heartbeats (HBs) resumed within 2 s after light stimulation but took longer when stimulated with GtACR1-EYFP than with GtCCR4-3.0-EFYP or KnChR-3.0-EYFP (GtCCR4-3.0-EYFP 418 ± 91.4 ms, KnChR-3.0-EYFP 742 ± 62.3 ms, CrChR2[T159C]-mCherry 284 ± 29.7 ms, GtACR1-EYFP 1350 ± 215 ms, CoChR-tdTomato 379 ± 45.6 ms, ChrimsonR-tdTomato 319 ± 41.7 ms, Figure 5C, Figure 5—figure supplement 2). Stimulation with GtCCR4-3.0-EYFP by light of lower light intensity (0.05 mW/mm2) reduced cardiac arrest rate, while stimulation with KnChR-3.0-EYFP or CoChR-tdTomato still induced cardiac arrest in all trials (Figure 5D, Figure 5—figure supplements 1 and 2). These data again indicate that optogenetic activity of KnChR-3.0-EYFP is as strong as that of CoChR-tdTomato in zebrafish cardiomyocytes. Considering that GtACR1 is an anion ChR and GtCCR4/KnChR are cation ChRs, the mechanism of cardiac arrest is expected to be different. To address this issue, we monitored intracellular Ca2+ concentration in cardiomyocytes using GCaMP6s. Light stimulation with KnChR-3.0-EYFP increased fluorescence intensity (ΔF/F) of GCaMP6s in the heart and induced cardiac muscle contraction (Figure 5E, Figure 5—video 1), whereas that with GtACR1-EYFP reduced the fluorescence intensity of GCaMP6s and induced relaxation of the myocardium (Figure 5F, Figure 5—video 2), suggesting distinct mechanisms for cardiac arrest induced by the cation ChRs (GtCCR4 and KnChR) and anion ChR (GtACR1).

Optogenetic control of cAMP/cGMP by BeGC1 and PACs

We examined the optogenetic activity of the fungal guanylyl cyclase rhodopsin BeGC1 and compared it to that of the flavoprotein-type bacterial PACs bPAC and OaPAC. By using Tg(vsx2:GAL4FF) and UAS Tg lines, we established Tg lines that expressed BeGC1-EGFP, bPAC-MT, and OaPAC-Flag in the reticulospinal V2a neurons (Figures 6A and 7A). Although the levels of expression of bPAC-MT and OaPAC-Flag were slightly lower than that of BeGC1, light stimulation of the reticulospinal V2a neurons with BeGC1-EGFP (520 nm), bPAC-MT (470 nm), and OaPAC-Flag (470 nm) at 0.4 mW/mm2 for 500 ms evoked relatively high-frequency tail movements (BeGC1-EGFP 53.5 ± 7.25%, bPAC-MT 60.6 ± 9.8%, OaPAC-Flag 42.5 ± 13.7%, Figures 6B and C and 7B and C, Figure 6—video 1, Figure 7—videos 1 and 2). The tail movements induced by activation with BeGC1, bPAC, or OaPAC had a long latency (BeGC1-EGFP 0.674 ± 0.118 s, bPAC-MT 2.6 ± 0.396 s, OaPAC-Flag 4.0 ± 0.582 s, Figures 6D and 7D), but similar duration and strength compared to activation with the ChRs (duration BeGC1-EGFP 2.05 ± 0.33 s, bPAC-MT 2.02 ± 0.531 s, OaPAC-Flag 2.83 ± 1 s; strength BeGC1-EGFP 0.815 ± 0.0926, bPAC-MT 0.66 ± 0.116, OaPAC-Flag 0.705 ± 0.102, Figures 6E and F and 7E and F). The latency of light responses in Tg fish expressing bPAC or OaPAC was long, whereas in control larvae that did not express these tools, spontaneous responses within 8 s were significantly lower (Figure 7C). Even when observing within 30 s after the light stimulus, the frequency of spontaneous tail movements was low (Figure 7—figure supplement 1), indicating that most of the tail movements induced with bPAC and OaPAC were robust responses to light. When a cAMP fluorescent indicator Flamindo2 (Odaka et al., 2014) was co-expressed with bPAC-MT or OaPAC-Flag in postmitotic neurons by the elavl3 promoter and the elavl3 promoter-driven GAL4-VP16 Tg line, continuous light stimulation reduced the ΔF/F of Flamindo2, which is indicative of an intracellular increase in cAMP (Odaka et al., 2014), in the optic tectum (Figure 7G and H). We also used Tg lines expressing BeGC1, bPAC or OaPAC in cardiomyocytes. Although light stimulation of cardiomyocytes with BeGC1 or OaPAC (Table 1) induced neither cardiac arrest nor bradycardia, activation with bPAC for 5 s gradually reduced HBs and it took a few minutes to return to normal HBs (Figure 7—figure supplement 2, Figure 7—video 3). These data indicate that BeGC1 and OaPAC can be used for optogenetic activation of neurons but not cardiomyocytes, while bPAC can be used for optogenetic control of neurons as well as cardiomyocytes in zebrafish.

Figure 6. Optogenetic activation of hindbrain reticulospinal V2a neurons with BeGC1-EGFP.

(A) Expression of BeGC1-EGFP in the hindbrain reticulospinal V2a neurons. 3-dpf Tg(vsx2:GAL4FF);Tg(UAS:BeGC1-EGFP, myl7:mCherry);Tg(UAS:RFP) larvae were fixed and stained with anti-GFP (EGFP, green) or anti-DsRed (RFP, magenta) antibodies. Inset: higher magnification images for the boxed area showing double-labeled neurons. In the inset, fluorescence signal intensities were modified to compare the subcellular localization of the tools. (B) Tail movements of 3-dpf Tg larvae expressing BeGC1 in the reticulospinal V2a neurons after stimulation with light (0.4 mW/mm2) at 520 nm for 500 ms. The stimulation started at time 0 s. A typical induced tail movement is shown. (C) Light stimulation-dependent locomotion rates of 3-dpf BeGC1-expressing larvae or non-expressing sibling control larvae. Six consecutive stimulation trials were analyzed for eight BeGC1-expressing and eight non-expressing larvae. The average locomotion rates for each larva are shown. Wilcoxon rank-sum test (BeGC1-EGFP vs. control, p=0.00608). (D–F) Latency (D), duration (E), and strength (F) of induced tail movements in the BeGC1-expressing larvae. The time from the start of light stimulation to the first tail movement was defined as latency (s), and the time from the start of the first tail movement to the end of that movement was defined as duration (s). The maximum distance that the caudal fin moved from the midline divided by body length reflected its strength. Scale bars = 150 μm in (A), 10 μm in the insets of (A). **p<0.01. Means and SEMs are indicated.

Figure 6—source data 1. Data for Figure 6, optogenetic activation of hindbrain reticulospinal V2a neurons with BeGC1-EGFP.

Figure 6.

Figure 6—video 1. Tail movements in a larva expressing BeGC1-EGFP in reticulospinal V2a neurons.
Download video file (240.2KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:BeGC1-EGFP, myl7:mCherry) larva was stimulated with 520 nm light for 500 ms. The timing of light stimulation is indicated by a green circle.

Figure 7. Optogenetic activation of reticulospinal V2a neurons with bPAC and OaPAC.

(A) Expression of bPAC and OaPAC in reticulospinal V2a neurons. 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:bPAC-MT-T2A-tDimer, myl7:mCherry);Tg(UAS;RFP) and Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:OaPAC-Flag-P2A-TagCFP, myl7:mCherry);Tg(UAS:RFP) larvae were fixed and stained with anti-Myc or anti-Flag (green), and anti-DsRed (RFP, magenta) antibodies. To detect relatively weak fluorescent signals of bPAC-MT and OaPAC-Flag, images were taken with increased laser power (2× for bPAC-MT and 4× for OaPAC-Flag compared to BeGC1-EGFP in Figure 6A). Inset: higher magnification images for the boxed areas showing double-labeled neurons. (B) Tail movements of 3-dpf Tg larvae expressing bPAC-MT or OaPAC-Flag in the reticulospinal V2a neurons after stimulation with light (0.4 mW/mm2) at 470 nm for 500 ms. The stimulation started at time 0 s. Typical examples are shown. (C) Light-induced locomotion rates. Larvae that did not express PACs were used as controls. Six consecutive stimulation trials for eight PAC-expressing and eight control larvae were analyzed. The average locomotion rates for each larva are shown. Wilcoxon rank-sum test (bPAC-MT vs. control, p=0.0376; OaPAC-Flag vs. control, p=0.145). (D–F) Latency (D), duration (E), and strength (F) for light stimulus-induced tail movements in larvae expressing bPAC-MT or OaPAC-Flag. The data for each larva are plotted in graphs. (G, H) Changes in fluorescence intensity (ΔF/F) of cAMP indicator Flamido2 in neurons of Tg larvae expressing bPAC-MT (G) or OaPAC-Flag (H) after light stimulation. The entire optic tectum area of 3-dpf Tg(elavl3:GAL4-VP16); Tg(elavl3:Flamindo2); Tg(UAS-hsp70l:bPAC-MT-T2A-tDimer) and Tg(elavl3:GAL4-VP16); Tg(elavl3:Flamindo2); Tg(UAS-hsp70l:OaPAC-Flag-P2A-TagCFP) larvae was stimulated with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm). The fluorescence intensity of the optic tectum was measured, and ΔF/F was calculated. Sibling larvae that did not express PACs were used as controls. Three trials for two PAC-expressing (green) and two control (black) larvae were analyzed, and the data from a total of six trials are plotted on graphs. The linear mixed-effects model was used. Scale bars = 150 μm in (A), 10 μm in insets of (A). *p<0.05, ***p<0.001, ns: not significant. Means and SEMs are indicated.

Figure 7—source data 1. Data for Figure 7, optogenetic activation of reticulospinal neurons with PACs.

Figure 7.

Figure 7—figure supplement 1. Latency of locomotion in PAC-expressing and non-expressing larvae.

Figure 7—figure supplement 1.

The hindbrain of 3-dpf larvae expressing bPAC or OaPAC, and non-expressing sibling control larvae was irradiated with 470 nm light for 500 ms. Six consecutive stimulation trials were analyzed for eight PAC-expressing and eight non-expressing control larvae of each line (48 trials for each condition). Latency was measured as the tail movements observed within 30 s after the onset of light stimulation and plotted in a graph. The number of the tail movements were 32 and 13 for bPAC and the control, and 26 and 13 for OaPAC and the control.
Figure 7—figure supplement 1—source data 1. Data for Figure 7—figure supplement 1, latency of locomotion in PAC-expressing and non-expressing larvae.
Figure 7—figure supplement 2. Optogenetic control of the heart by bPAC or OaPAC.

Figure 7—figure supplement 2.

(A) Expression of bPAC-MT or OaPAC-Flag in cardiomyocytes. 4-dpf larvae expressing bPAC-MT or OaPAC-Flag were fixed and stained with anti-Myc or Flag (green), and anti-DsRed (mCherry, magenta) antibodies. (B, C) Heartbeats (HBs) monitored by luminosity (AU), changes (B), and relative HB frequency (C) of bPAC-expressing larvae. The heart area of Tg larvae expressing bPAC was irradiated with light (0.5 mW/mm2) of 470 nm for 5 s at the indicated periods. Similar results were obtained from four Tg larvae. A typical example from one larva is shown in (B), and average HB frequency of the first or second trial showing a typical pattern for the four larvae is shown in (C). The larvae showed induced bradycardia in the third through sixth trials. Scale bar = 100 μm in (A).
Figure 7—figure supplement 2—source data 1. Data for Figure 7—figure supplement 2, optogenetic control of the heart by bPAC.
Figure 7—video 1. Tail movements in a larva expressing bPAC-MT in reticulospinal V2a neurons.
Download video file (235.3KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:bPAC-MT-T2A-tDimer, myl7:mCherry) larva was stimulated with 470 nm light for 500 ms. The timing of light stimulation is indicated by a blue circle.
Figure 7—video 2. Tail movements in a larva expressing OaPAC-Flag in reticulospinal V2a neurons.
Download video file (275.5KB, mp4)
The hindbrain in a 3-dpf Tg(vsx2:GAL4FF);Tg(UAS-hsp70l:OaPAC-Flag-P2A-TagCFP, myl7:mCherry) larva was stimulated with 470 nm light for 500 ms. The timing of light stimulation is indicated by a blue circle.
Figure 7—video 3. Heart movements in a larva expressing bPAC-MT in cardiomyocytes.
Download video file (3.4MB, mp4)
The heart area of Tg(myl7:GAL4FF);Tg(UAS-hsp70l:bPAC-MT-T2A-tDimer, myl7:mCherry) was stimulated with 470 nm light for 5 s. The timing of light stimulation is indicated by a blue circle.

Discussion

Utility of ChRs GtCCR4 and KnChR

As was reported for GtCCR4-EGFP (Hososhima et al., 2020; Shigemura et al., 2019; Yamauchi et al., 2017), GtCCR4-3.0-EYFP and GtCCR4-MT were more sensitive to light stimuli than CrChR2[T159C]-mCherry in cultured mammalian neuronal cells (Figure 1). However, the optogenetic ability of GtCCR4-3.0-EYFP and CrChR2[T159C]-mCherry to induce tail movements in the reticulospinal V2a neurons was comparable (Figure 3A and D), and GtCCR4-3.0-EYFP took longer to initiate tail movements (Figure 3B). There are a couple of explanations for this difference. First, the expression of GtCCR4-3.0-EYFP and CrChR2[T159C]-mCherry proteins might be different. Differences in levels of mRNA expression between Tg lines cannot be ruled out. In addition, there might be differences in translation, cell surface trafficking, and protein stability between these two rhodopsins in zebrafish neurons. GtCCR4-3.0-EYFP contains a membrane-trafficking signal and an ER-export signal that allows expression on the cell surface, but GtCCR4-3.0-EYFP proteins might aggregate slightly within the cytoplasm and might not express efficiently on the cell surface of reticulospinal V2a neurons (Figure 2C). Differences in ion channel properties might also affect their activity in vivo. CrChR2 is permeable to not only Na+ but also H+ and Ca2+, whereas GtCCR4 is relatively specific to Na+ (Nagel et al., 2003; Shigemura et al., 2019). Activation of reticulospinal V2a neurons with CrChR2 induces an influx of Na+, H+, and Ca2+, while activation with GtCCR4 induces only an influx of Na+. This may account for the difference in light-evoked tail movements between GtCCR4 and CrChR2. On the other hand, the Na+-specific channel property of GtCCR4 may favor distinguishing depolarization effects from intracellular Ca2+ signaling. Furthermore, the activation wavelength of GtCCR4 is slightly more red-shifted than that of CrChR2 (Figure 1D; Hososhima et al., 2020; Nagel et al., 2003; Shigemura et al., 2019), which might be useful when used in conjunction with short-wavelength optogenetic tools or neural activation sensors.

We found that KnChR was a more potent optogenetic tool than GtCCR4, CrChR2, and ChrimsonR in zebrafish reticulospinal V2a neurons. Optogenetic activity of KnChR was comparable to that of CoChR in both reticulospinal V2a neurons and cardiomyocytes (Figures 1, 3 and 5). Truncation of KnChR prolonged the channel open lifetime by more than 10-fold (Tashiro et al., 2021; Figure 1). KnChR conducts various monovalent and bivalent cations, including H+, Na+, and Ca2+, while KnChR has a higher permeability to Na+ and Ca2+ and a higher permeability ratio of Ca2+ to Na+ than CrChR2 (Tashiro et al., 2021). These properties may contribute to the high photo-inducible activity of KnChR. Activation of KnChR may induce the influx of more cations with a longer channel open time than CrChR2 and ChrimsonR, leading to stronger cell depolarization. The optogenetic activity of KnChR was comparable to that of GtCCR4 in cultured cells, but higher than that of GtCCR4 in zebrafish reticulospinal V2a neurons and cardiomyocytes. While the exact reason is unclear, it is possible that the expression of functional KnChR protein may be high in zebrafish cells. Furthermore, since KnChR can be activated by light with a short wavelength (maximal sensitivity between 430 and 460 nm), KnChR can be used in conjunction with other red-shifted optogenetic tools and cell activity sensors.

The photoactivation of both cation (GtCCR4, KnChR) and anion (GtACR1) ChRs induced cardiac arrest (Figures 4 and 5). However, activation of KnChR and GtACR1 increased and decreased intracellular Ca2+ in cardiomyocytes, respectively (Figure 5). Since Ca2+ is a readout of depolarization in cardiomyocytes, these data suggest that activation of the cation ChRs depolarized cardiomyocytes, increased intracellular Ca2+ concentration, and inhibited cardiac resumption. Alternatively, cardiac arrest can potentially be explained by a phenomenon known as depolarization block, in which action potentials cannot be generated because the cells remain in a depolarized state. In contrast, activation with the anion ChR hyperpolarized cardiomyocytes, decreased intracellular Ca2+ concentration, and inhibited cardiac contraction. Tg larvae with a high expression of KnChR-3.0-EYFP in the heart always showed cardiac arrest after light stimulation (Figures 4 and 5). This finding indicates that KnChR is a strong tool. By altering the degree of depolarization by KnChR by changing the expression level or the intensity of light stimulation, the function of cardiomyocytes and other cells may be precisely controlled. Highly sensitive KnChR has the potential to identify neural circuits that have not been previously identifiable with other optogenetic tools.

In this study, we demonstrated that GtCCR4, KnChR, and CrChR2 function in both reticulospinal V2a neurons and cardiomyocytes in zebrafish. Given the different ion-channel properties of GtCCR4, KnChR, and CrChR2, they can be used for optogenetic manipulation of cell activities in a variety of applications in zebrafish.

Utility of enzyme rhodopsin BeGC1 and bacterial flavoprotein PACs

cAMP and cGMP are major second messengers that regulate multiple biological functions in a variety of tissues. We expressed BeGC1 and bPAC/OaPAC to manipulate intracellular cGMP and cAMP signaling in reticulospinal V2a neurons and cardiomyocytes (Figures 6 and 7, Figure 7—figure supplements 1 and 2). Light stimulation of the V2a neuron with BeGC1 as well as bPAC/OaPAC induced tail movements with a longer delay than when stimulated with ChRs. There are two possible mechanisms by which cyclic nucleotides control cell excitability. One mechanism is through cyclic nucleotide-gated ion (CNG) channels, in which binding of cGMP or cAMP to CNG channels opens the cation channels and depolarizes the cell (Bradley et al., 2005; Matulef and Zagotta, 2003). The other is through cAMP-dependent protein kinase (PKA), in which binding of cAMP to the regulatory unit of PKA releases the catalytic unit of PKA, resulting in phosphorylation of cation channels such as the voltage-dependent Ca2+ channel CaV1.2 (Fu et al., 2014; McDonald et al., 1994; Reuter, 1983). The former mechanism is often used for various sensory systems in the nervous system and the latter for the sympathetic noradrenergic regulation of HBs. Which mechanism is used may depend on the availability of necessary components to activate these mechanisms. It is likely that the CNG-mediated mechanism is involved in the activation of reticulospinal V2a neurons. In this mechanism, neurons are not activated until the intracellular cGMP/cAMP concentration reaches the threshold for CNG activation. Consistent with this, activation with BeGC1 and PACs induced neural activation with a relatively long delay (Figures 6 and 7). On the other hand, the PKA-mediated pathway may be involved in the heart. Activation of bPAC – but not BeGC1 or OaPAC – in the heart induced bradycardia (Figure 7—figure supplement 2). A prolonged increase in intracellular Ca2+ induced by PKA-mediated phosphorylation of the Ca2+ channel might contribute to the long-lasting bradycardia. Different effects of bPAC and OaPAC activation on neurons and the heart are due to differences in basal and photo-inducible activity of these two PACs (Ohki et al., 2016). Further analysis is required to reveal the precise mechanism for optogenetic control of cell functions with BeGC1 and bPAC/OaPAC. A two-component system comprising bPAC and the prokaryotic CNG potassium channel (PAC-K) silenced the activity of zebrafish neurons (Bernal Sierra et al., 2018). In combination with endogenous CNG or exogenous CNG K+ channel, PAC can be used to both activate and inhibit zebrafish neurons.

Optogenetic control of intracellular cAMP and cGMP concentrations has been achieved in cells and tissues in which the role of cAMP and cGMP is well understood, as described previously (Gutierrez-Triana et al., 2015). In this study, we focused our analysis on hindbrain reticulospinal V2a neurons and cardiomyocytes, partly as a comparison with ChRs. In the future, expression of these tools in various types of cells and examination of their activity will reveal their usefulness in regulating intracellular cAMP and cGMP levels.

Cell and tissue functions are regulated by various intercellular signaling molecules, such as neurotransmitters, hormones, and cytokines. We demonstrated the usefulness of multiple types of ChRs, cGMP/cAMP-producing tools (in this study), and of G-protein-coupled rhodopsins (in the accompanying paper, Hagio et al., 2023) in manipulating zebrafish neuronal and cardiomyocyte function. Optogenetic studies with these tools alone or in combination will elucidate detailed mechanisms of cellular and tissue regulation.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Gene
(Guillardia theta)
GtCCR4 Yamauchi et al., 2017 GenBank: MF039475.1
Gene
(Klebsormidium nitens)
KnChR Tashiro et al., 2021 GenBank: DF236986.1, GAQ79757.1
Gene
(Chlamydomonas reinhardtii)
CrChR2[T159C] Berndt et al., 2011
Gene
(Chloromonas oogama)
CoChR Klapoetke et al., 2014
Gene
(Chlamydomonas noctigama)
ChrimsonR Klapoetke et al., 2014
Gene
(Blastocladiella emersonii)
BeGC1 Scheib et al., 2015 GenBank: KP731361.1
Gene
(G. theta)
GtACR1 Govorunova et al., 2015 GenBank: KP171708.1
Gene
(Beggiatoa sp.)
bPAC Stierl et al., 2011 GenBank: GU461306.2
Gene
(Oscillatoria acuminata)
OaPAC Ohki et al., 2016 GenPept: WP_015149803.1
Genetic reagent (Danio rerio) mitfaw2/w2 Lister et al., 1999
Genetic reagent (D. rerio) TgBAC(vsx2:GAL4FF) Kimura et al., 2013 TgBAC(vsx2:GAL4FF) nns18Tg
Genetic reagent (D. rerio) Tg(myl7:GAL4FF) Accompanying paper Tg(myl7:GAL4FF)nub38Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:GtCCR4-3.0-EYFP) This paper Tg(5xUAS-hsp70l:GtCCR4-
3.0-EYFP, myl7:mCherry)nub49Tg
Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS:CoChR-tdTomato) This paper Tg(14xUAS-E1b:CoChR-tdTomato)nub120Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:ChrimsonR-tdTomato) This paper Tg(5xUAS-hsp70l:ChrimsonR, myl7:mCherry)nub119Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:GtCCR4-MT-P2A-TagCFP) This paper Tg(5xUAS-hsp70l:GtCCR4-
MT-P2A-TagCFP, myl7:mCherry)nub50Tg
Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:KnChR-3.0-EYFP) This paper Tg(5xUAS-hsp70l:KnChR-3.0-EYFP, myl7:mCherry)nub51Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:CrChR2[T159C]-mCherry) This paper Tg(5xUAS-hsp70l:CrChR2
[T159C]-mCherry, myl7:mCherry)nub52Tg
Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:GtACR1-EYFP) This paper Tg(5xUAS-hsp70l:GtACR1-
EYFP, myl7:mCherry)nub53Tg
Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS:CoChR-tdTomato) This paper Tg(14xUAS-E1b:CoChR-tdTomato)nub120Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:ChrimsonR-tdTomato) This paper Tg(5xUAS-hsp70l:ChrimsonR-tdTomato)nub119Tg Available from M. Hibi Lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:BeGC1-EGFP) This paper Tg(5xUAS-hsp70l:BeGC1-EGFP, myl7:mCherry)nub54Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:bPAC-MT-T2A-tDimer) This paper Tg(5xUAS-hsp70l:bPAC-MT-T2A-tDimer, myl7:mCherry)nub55Tg Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:OaPAC-Flag-P2A-TagCFP) This paper Tg(5xUAS-hsp70l:
OaPAC-Flag-P2A-TagCFP, myl7:mCherry)nub56Tg
Available from M. Hibi lab
Genetic reagent (D. rerio) Tg(UAS-hsp70l:GCaMP6s) Muto et al., 2017 Tg(5xUAS-hsp70l:GCaMP6s) nkUAShspzGCaMP6s13aTg
Genetic reagent (D. rerio) Tg(elavl3:Flamindo2) This paper Tg(elavl3:Flamindo2)nub57TG Available from M. Hibi lab
Cell line
(hybrid of Rattus norvegicus and Mus musculus)
ND7/23 Wood et al., 1990 ECACC 92090903 https://www.saibou.jp/en/reagents/
Recombinant DNA reagent pCS2+GtCCR4-3.0-EYFP This paper Available from M. Hibi lab
Recombinant DNA reagent pCS2+GtCCR4-
MT-P2A-TagCFP
This paper Available from M. Hibi lab
Recombinant DNA reagent pCS2+CrChR2
[T159C]-mCherry
This paper Available from M. Hibi lab
Recombinant DNA reagent pBH-R1-R2 Accompanying paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L1-5xUAS-hsp70l-R5 Accompanying paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-GtCCR4-MT-P2A-TagCFP-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-KnChR-3.0-EYFP-SV40pAS -L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-GtACR1-EYFP-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-CrChR2[T159C]-mCherry-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-BeGC1-EGFP-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-BeGC1-EGFP-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-bPAC-MT-T2A-tDimer-SV40pAS-L2 This paper Available from M. Hibi lab
Recombinant DNA reagent pENTR L5-OaPAC-Flag-P2A-TagCFP-SV40pAS-L2 This paper Available from M. Hibi lab
Antibody Mouse monoclonal anti-Flag antibody Sigma-Aldrich Cat# F3165; RRID:AB_259529 Dilution 1:500
Antibody Mouse monoclonal anti-Myc tag antibody Santa Cruz Biotechnology Cat# sc-40; RRID:AB_627268 Dilution 1:500
Antibody Rat monoclonal anti-GFP antibody Nacalai Tesque, Inc. Cat# 04404-84; RRID:AB_10013361 Dilution 1:500
Antibody Rabbit polyclonal anti-DsRed antibody Takara Bio Cat# 632496; RRID:AB_10013483 Dilution 1:500
Antibody Goat CF488A anti-mouse IgG antibody Biotium, Inc Cat# 20018; RRID:AB_10557263 Dilution 1:500
Antibody Goat CF488A anti-rat IgG antibody Biotium, Inc Cat# 20023; RRID: AB_10557403 Dilution 1:500
Antibody Goat CF568 anti-rabbit IgG antibody Biotium, Inc Cat# 20103; RRID:AB_10558012 Dilution 1:500
Chemical compound, drug tricaine methanesulfonate Nacalai Tesque, Inc Cat# 01916-32
Chemical compound, drug low gelling temperature Type VII-A Sigma-Aldrich A0701
Chemical compound, drug pentylenetetrazol Sigma-Aldrich Cat# P6500
Software, algorithm SutterPatch 1.1.1 Sutter Instrument Co. https://www.sutter.com/AMPLIFIERS/SutterPatch.html
Software, algorithm pCLAMP10.6 Molecular Devices https://support.moleculardevices.com/s/article/Axon-pCLAMP-10-Electrophysiology-Data-Acquisition-Analysis-Software-Download-Page
Software, algorithm PolyScan2 Mightex
Software, algorithm StreamPix7 NorPix Inc
Software, algorithm LabVIEW National Instruments 2015 https://www.ni.com/ja-jp.html
Software, algorithm GraphPad Prism5 GraphPad Software https://www.mdf-soft.com/
Software, algorithm VSDC Free Video Editor 6.4.7.155 FLASH-INTEGRO LLC https://www.videosoftdev.com/jp
Software, algorithm Microsoft Movies & TV Microsoft Corp. https://apps.microsoft.com/store/detail/movies-tv/9WZDNCRFJ3P2
Software, algorithm QuickTime player 10.5 Apple Inc. https://quicktime.softonic.jp/
Software, algorithm Fiji/ImageJ National Institutes of Health (NIH) http://fiji.sc/
Software, algorithm R 3.6.1 and 4.2.1 https://www.r-project.org/
Software, algorithm ggplot2 3.2.0 of R https://ggplot2.tidyverse.org
Software, algorithm nlme 3.1–162 of R https://cran.r-project.org/web/packages/nlme/index.html
Software, algorithm Bonsai Lopes et al., 2015 https://open-ephys.org/bonsai
Software, algorithm Python 3.5.6 Python Software Foundation https://www.python.org/
Software, algorithm Tracker Video Analysis and Modeling Tool for Physics Education 5.1.5 https://physlets.org/tracker/
Software, algorithm Microsoft Excel for Mac, ver. 16.74 Microsoft
Software, algorithm HB_frequency.py This paper Source code file

Cell culture

The electrophysiological assays of ChRs were performed on ND7/23cells, which are a hybrid cell line derived from neonatal rat dorsal root ganglia neurons fused with mouse neuroblastoma (Wood et al., 1990). ND7/23 cells were obtained from DS Pharma Biomedica, Osaka, Japan, and KAC Co. Ltd., Kyoto Japan. ND7/23 cells were grown on a collagen-coated coverslip in Dulbecco’s modified Eagle’s medium (Fujifilm Wako Pure Chemical Corp., Osaka, Japan) supplemented with 2.5 μM all-trans retinal, 5% fetal bovine serum under a 5% CO2 atmosphere at 37°C. ND7/23 cells have been confirmed to be free from mycoplasma contamination, and their identity has been verified through careful morphological observation. The expression plasmids were constructed based on pCS2+ (see the ‘Zebrafish’ section) and were transiently transfected by using FuGENE HD (Promega, Madison, WI) according to the manufacturer’s instructions. Electrophysiological recordings were then conducted 16–36 hr after transfection. Successfully transfected cells were identified by EYFP, CFP, mCherry, or tdTomato fluorescence under a microscope prior to measurements.

Electrophysiology

All experiments were carried out at room temperature (25 ± 2°C). Photocurrents were recorded using an amplifier IPA (Sutter Instrument, Novato, CA) or Axopatch 200B amplifier (Molecular Devices, Sunnyvale, CA) under a whole-cell patch-clamp configuration. Data were filtered at 5 kHz and sampled at 10 kHz, then stored in a computer (IPA and SutterPatch, Sutter Instrument or Digdata1550 and pCLAMP10.6, Molecular Devices). The standard internal pipette solution for whole-cell voltage-clamp contained (in mM) 125 K-gluconate, 10 NaCl, 0.2 EGTA, 10 HEPES, 1 MgCl2, 3 MgATP, 0.3 Na2GTP, 10 Na2-phosphocreatine, and 0.1 leupeptin, adjusted to pH 7.4 with KOH. The standard extracellular solution contained (in mM) 138 NaCl, 3 KCl, 10 HEPES, 4 NaOH, 2 CaCl2, 1 MgCl2, and 11 glucose, adjusted to pH 7.4 with KOH. Time constants were determined by a single exponential fit unless noted otherwise.

Optics for cultured cells

For the whole-cell patch clamp, irradiation at 385, 423, 469, 511, 555, 590, or 631 nm was carried out using Colibri7 (Carl Zeiss, Oberkochen, Germany) controlled by computer software (SutterPatch Software version 1.1.1, Sutter Instrument or pCLAMP10.6, Molecular Devices). Light power was directly measured under an objective lens of the microscope by a visible light-sensing thermopile (MIR-100Q, SSC Inc, Mie, Japan).

Zebrafish

All Tg zebrafish lines in this study were generated using the mitfaw2/w2 mutant (also known as nacre) line, which lacks melanophores (Lister et al., 1999). To construct expression plasmids for GtCCR4, the cDNA of a fusion protein GtCCR4-3.0-EYFP or the open-reading frame (ORF) of GtCCR4 with a MycTag (MT) tag sequence, the 2A peptide sequence (P2A) from porcine teschovirus (PTV-1) (Provost et al., 2007; Tanabe et al., 2010), and TagCFP (Evrogen, Moscow, Russia) (GtCCR4-MT-P2A-TagCFP) were subcloned to pCS2+. GtCCR4-3.0-EYFP, which contains a membrane-trafficking signal and the ER-export signal (3.0) from the Kir2.1 potassium channel (Gradinaru et al., 2010; Hoque et al., 2016), was constructed according to a previously described procedure (Hoque et al., 2016). To construct KnChR expression plasmids, a carboxy terminal-truncated version (amino acids 1–272 were used), fused with the membrane- and ER-export signals and EYFP, was used (Tashiro et al., 2021). The KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, ChrimsonR-tdTomato, GtACR1-EYFP, BeGC1-EGFP, OaPAC, and bPAC-MT-T2A (2A sequence from Thosea asigna virus) DNA fragments were isolated by PCR from phKnChhR-272–3.0-eYFP (Tashiro et al., 2021), pmCherry ChR2 T159C (Berndt et al., 2011), pTol1-UAS:ChrimsonR-tdTomato (Antinucci et al., 2020), pFUGW-hGtACR1-EYFP (Govorunova et al., 2015) (a gift from John Spudich [RRID:ADDgene_67795]), peGFP-N1-BeGC1 (Matsubara et al., 2021), pCold His OaPAC (Ohki et al., 2016) (a gift from Sam-Yong Park), and pAAV hSyn1 bPAC cMyc T2A tDimer (a gift from Thomas Oertner [RRID:Addgene_85397]), respectively, and were subcloned to pCS2+ (for OaPAC, Flag-P2A-TagCFP was attached at the carboxy-terminal). pENTR L1-R5 entry vectors containing five repeats of the upstream activation sequence (UAS) and the hsp70l promoter (Muto et al., 2017), and pENTR L5-L2 vectors containing the ORF of the optogenetic tools and the polyadenylation site of SV40 (SV40pAS) from the pCS2+ plasmids were generated by the BP reaction of the Gateway system. The UAS-hsp70l promoter and optogenetic tool expression cassettes were subcloned to the Tol2 donor vector pBleeding Heart (pBH)-R1-R2 (Dohaku et al., 2019), which was modified from pBH-R4-R2 and contains the mCherry cDNA and SV40 pAS under the myosin, light chain 7, regulatory (myl7) promoter (van Ham et al., 2010) by the LR reaction of the Gateway system. For expression of CoChR-tdTomato, pTol1-UAS:CoChR-tdTomato (Antinucci et al., 2020) was used. To make a Tol2 plasmid expressing the cAMP fluorescent indicator Flamindo2 in all postmitotic neurons, the elavl3 promoter (Park et al., 2000), Flamindo2 cDNA (Odaka et al., 2014), and SV40pAS were subcloned to pT2ALR-Dest (pT2ALR-elavl3-Flamindo2). To make Tg fish, 25 pg of the Tol1 or Tol2 plasmids and 25 pg of Tol1 or Tol2 transposase capped and polyadenylated RNA were injected into one-cell-stage embryos. The Tg fish that expressed optogenetic tools in a Gal4-dependent manner are referred as to Tg(UAS:opto-tool). Tg(UAS:opto-tool) fish were crossed with TgBAC(vsx2:GAL4FF) (Kimura et al., 2013), Tg(myl7:GAL4FF), or Tg(elavl3:GAL4-VP16) (Kimura et al., 2013) to express tools in the hindbrain reticulospinal V2a neurons, heart, and all postmitotic neurons, respectively. For Ca2+ imaging and cAMP monitoring, Tg(5xUAS-hsp70l:GCaMP6s) (Muto et al., 2017) and Tg(elavl3:Flamindo2) were used. Adult zebrafish were raised at 28.5°C with a 14 hr light and 10 hr dark cycle. Individual larvae used for behavioral experiments were kept in the dark except for the fluorescence observation and light exposure experiments.

Immunostaining

For immunostaining, anti-Flag antibody (1:500, mouse, Sigma-Aldrich, St. Louis, MO, Cat# F3165, RRID:AB_259529), anti-Myc Tag (MT) antibody (1:500, mouse, Santa Cruz Biotechnology, Dallas, TX, Cat# sc-40, RRID:AB_627268), anti-GFP (1:500, rat, Nacalai Tesque, Inc, Kyoto, Japan, Code: 04404-84, RRID:AB_10013361), and anti-DsRed (1:500, rabbit, Takara Bio, Shiga, Japan, Cat# 632496; RRID:AB_10013483) were used as primary antibodies. CF488A anti-mouse IgG (1:500, H+L, Biotium Inc, Fremont, CA, Cat# 20018; RRID:AB_10557263), CF488A anti-rat IgG (1:500, H+L, Biotium, Inc, Cat# 20023; RRID:AB_10557403), and CF568 anti-rabbit IgG (1:500, H+L, Biotium Inc, Cat# 20103; RRID:AB_10558012) were used as secondary antibodies. The detailed method for immunostaining is described in the accompanying paper. Images were acquired using a confocal laser inverted microscope LSM700 (Carl Zeiss). To detect weak fluorescent signals, laser power was increased, but when the power was increased by a factor of 2 or more, it was noted in the figure legend (Figure 7A).

Locomotion assay

The expression of optogenetic tools in 3-dpf larvae was determined by the expression of fluorescent marker in reticulospinal V2a neurons. Sibling fish that did not express the fluorescent marker were used as control fish. The detailed method is described in the accompanying paper. Briefly, after larvae were anesthetized with tricaine methansulfonate (Nacalai Tesque, Inc, Cat# 01916-32) and embedded in 2.5% agarose (low gelling temperature Type VII-A A0701, Sigma-Aldrich), the tail was set free by cutting the agarose around it. This agarose was placed in a 90 mm Petri dish filled with rearing water and kept for 20 min to recover from anesthesia. Light stimulation was performed using a patterned LED illuminator system LEOPARD (OPTO-LINE, Inc, Saitama, Japan) and the control software PolyScan2 (Mightex, Toronto, Canada) was used. The irradiation intensity and area were 0.4 mW/mm2 and 0.30 mm × 0.34 mm. Tail movements were captured by an infrared CMOS camera (67 fps, GZL-CL-41C6M-C, Teledyne FLIR LLC, Wilsonville) mounted under the stage and StreamPix7 software (NorPix Inc, Montreal, Canada) and analyzed by Tracker Video Analysis and Modeling Tool for Physics Education version 5.1.5. The timing of tail motion capture and light irradiation to the reticulospinal V2a neurons was controlled by a USB DAQ device (USB-6008, National Instruments, Austin, TX) and the programming software LabVIEW (2015, National Instruments). The stimulation was repeated six times every 10 or 20 min, 100 ms (ChRs) or 500 ms (BeGC1 and adenylyl cyclases) each time, with a minimum of eight individuals for each strain. Trials in which swimming behavior was induced within 8 s after light stimulation were defined as induced trials. The percentage of induced trials was defined as locomotion rate, excluding trials in which swimming behavior was elicited before light stimulation. The time from the start of light irradiation to the first tail movement was defined as latency, and the time from the start of the first tail movement to the end of that movement was defined as duration. The maximum distance the tail moved from the midline divided by body length was defined as strength. To examine the tools’ ability to inhibit locomotion, 4-dpf Tg larvae were pretreated with 15 mM pentylenetetrazol (Sigma-Aldrich, Cat# P6500) and spontaneous tail movements were induced by white LED light (peak 640  nm; Kingbright Electronic Co., Ltd., New Taipei City, Taiwan) powered by a DC power supply (E3631A; Agilent Technologies, Santa Clara, CA) for 5 s. After 500 ms from the onset of the white LED light, the hindbrain reticulospinal V2a neurons were stimulated with the patterned LED illuminator. Trials in which swimming behavior stopped within 1 s after white light stimulation were defined as locomotion-inhibition trials. The percentage of locomotion-inhibition trials was calculated; these values are indicated in Table 1. Graphs were created with GraphPad Prism5 software (GraphPad Software, San Diego, CA). We used VSDC Free Video Editor version 6.4.7.155 (FLASH-INTEGRO LLC, Moscow, Russia) and Microsoft Movies & TV (Microsoft Corp., Redmond, WA) to make all movies.

Heartbeat experiments

4-dpf larvae carrying an expressed fluorescent marker in the heart were used for the experiments. Sibling fish that did not express the marker were used as control fish. Four larvae were used for each line. The detailed method is described in the accompanying paper. Briefly, after larvae were quickly anesthetized with about 0.2% tricaine methanesulfonate and embedded in agarose, they were placed in a 90 mm Petri dish filled with water and kept for 20 min to recover from anesthesia. Irradiation intensity was adjusted to 0.5 mW/mm2. The area of irradiation was 0.17 mm × 0.25 mm, including the entire heart. The heart area in Tg fish was irradiated for 100 ms (ChRs) or 5 s (bPAC-MT) with light wavelengths that had the closest values to the maximum absorption wavelength of each optogenetic tool, as shown in Table 1. The HBs of larvae were captured by an infrared CMOS camera (67 fps) and recorded with StreamPix7 software, as described above. The irradiation trial was repeated six times every 3 min (for GtCCR4-3.0-EYFP and GtACR1-EYFP) or 10 min (for KnChR-3.0-EYFP, CrChR2[T159C]-mCherry, CoChR-tdTomato, ChrimsonR-tdTomato, and bPAC-MT) for one fish and a total of four larvae were analyzed for each strain. The video recordings of the HBs were observed using QuickTime player 10.5 (Apple Inc, Cupertino, CA). After opening videos with Fiji/ImageJ (National Institutes of Health, Bethesda, MD), the entire heart was set as the region of interest (ROI), and the luminosity (AU: arbitrary units) data in the ROI was used to create graphs of HBs using ggplot2 version 3.2.0 in R. To calculate relative HB frequency, temporal changes in luminosity were obtained from the video using Bosai (Lopes et al., 2015) and the frames where HBs occurred were identified by the code (HB_frequency.py) created in Python version 3.5.6 (Python Software Foundation, Wilmington, DE). Relative HB frequency was calculated from the HB frame data, 500 ms before and after each time point using Excel (Microsoft). Graphs of the average relative HB frequency were created by ggplot2 of R. The latency to cardiac arrest and the time to first resumption of HBs were also measured. Graphs were created with GraphPad Prism5 software. All movies were created with VSDC Free Video Editor. Simple HB experiments were also performed using a light source equipped with an MZ16 FA microscope and GFP (460–500 nm), YFP (490–510 nm), and DSR filters (530–560 nm, Leica, Wetzlar, Germany), as indicated in Table 1.

Ca2+ imaging

4-dpf Tg fish expressing KnChR or GtACR1, and GCaMP6s in cardiomyocytes were used. Tg fish expressing only GCaMP6s were used as controls. The larvae anesthetized with tricaine methanesulfonate were embedded in 3% agarose (low-gelling temperature Type VII-A, Sigma-Aldrich) in 1/10 Evans solution, placed in a 90 mm Petri dish filled with water, and left on the microscope stage for 10 min. A 130 W light source (U-HGLGPS, Olympus, Tokyo, Japan) with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm, U-MNIBA3, Olympus) was used to observe the fluorescence of GCaMP6s. A CCD camera (ORCA-R2, Hamamatsu Photonics, Shizuoka, Japan) located on the microscope was used to capture the GCaMP6s fluorescence images at 9 fps. After image acquisition, the entire heart area was manually set as the ROI using Fiji/ImageJ, and fluorescence intensity was measured. Trials were repeated three times every 10 min. The relative change in ΔF/F was calculated by dividing the fluorescence intensity in each frame by the fluorescence intensity at the start of light exposure.

cAMP live imaging

3-dpf larvae expressing an optogenetic tool and the cAMP indicator Flamindo2 in postmitotic neurons were used. Sibling larvae that did not express the optogenetic tool were used as controls. The larvae that were quickly anesthetized with 0.04% tricaine methanesulfonate were embedded in 3% agarose, placed in a 90 mm Petri dish filled with rearing water, and left on the microscope stage for 20 min. A 130 W light source (U-HGLGPS, Olympus) with a fluorescence detection filter (excitation 470–495 nm, emission 510–550 nm) was used for observation. The fluorescence images were captured by a CCD camera (ORCA-R2, Hamamatsu Photonics) at 9 fps. After image acquisition, the entire optic tectum area was set as a ROI using Fiji/ImageJ and fluorescence intensity was measured. ΔF/F was calculated.

Statistical analysis

Data were analyzed using R software package (versions 3.6.1 and 4.2.1). Statistical tests were applied as indicated in figure legends. All data in the text and figures are expressed as the mean ± standard error of the mean (SEM). A linear mixed-effects model was applied using R package ‘nlme’ version 1.3–162.

Acknowledgements

We thank Shin-ichi Higashijima, Koichi Kawakami, and the National Bioresource Project for providing transgenic fish; John Spudich, Sam-Yong Park, Thomas Oertner, and Isaac Bianco for providing plasmid DNAs; Tamiko Itoh for managing fish mating and care; Ryosuke Takeuchi for helping us analyze heartbeat experiments. We also thank the members of the Kandori and Hibi laboratories for helpful discussion. MEXT KAKENHI JP26115512, JSPS KAKENHI JP18H02448 (to MH), JP18K06333 (to TS), CREST Japan Science and Technology Agency (JST) JPMJCR1753 (to HK and MH).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Masahiko Hibi, Email: hibi.masahiko.s7@f.mail.nagoya-u.ac.jp.

Suresh Jesuthasan, Nanyang Technological University, Singapore.

Didier YR Stainier, Max Planck Institute for Heart and Lung Research, Germany.

Funding Information

This paper was supported by the following grants:

  • Japan Science and Technology Agency JPMJCR1753 to Masahiko Hibi, Hideki Kandori.

  • Japan Society for the Promotion of Science JP26115512 to Masahiko Hibi.

  • Japan Society for the Promotion of Science JP18K06333 to Takashi Shimizu.

  • Japan Society for the Promotion of Science JP18H02448 to Masahiko Hibi, Hideki Kandori.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing.

Data curation, Formal analysis, Investigation.

Data curation, Formal analysis, Investigation, Methodology.

Data curation, Formal analysis, Investigation.

Formal analysis, Investigation.

Formal analysis, Investigation.

Methodology, Supervision, Writing – review and editing.

Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing.

Validation, Writing – review and editing.

Conceptualization, Validation, Funding acquisition, Writing – review and editing.

Conceptualization, Data curation, Methodology, Funding acquisition, Writing - original draft, Writing – review and editing.

Ethics

The animal experiments in this study were approved by the Nagoya University Animal Experiment Committee and were conducted in accordance with the Regulation on Animal Experiments from Nagoya University.

Additional files

MDAR checklist
Source code 1. Software that detects the timing of each heartbeat from the data of luminosity changes over time.
elife-83975-code1.zip (874B, zip)

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files and source data files have been provided for Figures 1-7.

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Editor's evaluation

Suresh Jesuthasan 1

This manuscript provides a valuable resource for scientists who wish to manipulate second messengers in zebrafish using optogenetics. The authors provide solid evidence, based on behaviour, monitoring of heartbeat and imaging, that several of the tools tested can have an effect in larval fish. Tools that lack an effect are also described. As the tools affect second messengers that are used in multiple cell types, the results should be of interest to scientists working in a variety of areas.

Decision letter

Editor: Suresh Jesuthasan1

Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Decision letter after peer review:

Thank you for submitting your article "Optogenetic manipulation of second messengers in neurons and cardiomyocytes with microbial rhodopsins and adenylyl cyclase" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Didier Stainier as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

1) Provide an analysis of the effects of different light intensities, on both behaviour and neuronal activity.

2) Provide a comparison with existing optogenetic tools, e.g. CoChR.

3) Provide a comparison with opsin-negative animals. The long latency gives rise to the possibility that some of the responses are not due to the transgene.

4) Rewrite the manuscript, especially the introduction, to more accurately reflect the scope of the work. A focus on second messengers necessitates analysis of the second messengers.

Reviewer #1 (Recommendations for the authors):

In introducing bPac and OaPac, the authors note that both tools have been tested in a variety of species and were found to be useful. The suggestion that the tools warrant further testing because their activity in other cell types and species are unknown (last line, first paragraph on page 7), is illogical. The unstated assumption here is that zebrafish provides the definitive test for all cell types and all vertebrates. The data provide strong evidence that these tools work in two cell types in the zebrafish, but the relevance to other species cannot be extrapolated based on the authors' own reasoning. It is suggested that the rationale for the experiments be rephrased.

The limitations of KnChR, in terms of not being selective to a single ion, points to what seems to be a weakness. Specifically, as currently written, the manuscript does not appear to have a strong central question/idea, but does contain a number of interesting findings related to optogenetic tools that work in zebrafish. It is strongly recommended that framework of the manuscript be recrafted.

The manuscript would be strengthened with a consideration of whether the tools tested here are more useful than tools that are currently in use, or where the tool provides some new insight. While a comparison has been done for neuronal depolarization with KnChR, this experiment is not relevant to testing the role of specific second messengers. For the case of Pac, it should be noted that bPac has been tested previously in the zebrafish nervous system, in the context of the PAC-K system (https://www.nature.com/articles/s41467-018-07038-8). It would also be informative to readers who are not specialists in the cardiac system to know how changing cGMP levels would be expected to affect heart beat.

A strength of the paper is the use of indicators such as GCaMP6 and flamindo2. It would be informative to monitor cGMP directly e.g. with Green cGull (https://pubmed.ncbi.nlm.nih.gov/28722423/) or the more recent red version.

Reviewer #2 (Recommendations for the authors):

1. As a method for assessing expression levels, immunohistochemistry is only semi-quantitative. It is not mentioned how detectable the expression is under the epifluorescent stereomicroscope in vivo. The authors should comment on that. Also, information regarding the expression when using other driver lines and the level of mosaicism would be very helpful, if included in the manuscript.

2. It is great to see such big effects on behavior. However, it remains unclear to what extent the target cells have directly been activated. In other studies on the application of optogenetics, measurements of neuronal activity changes and their light dependency are oftentimes included (e.g. see Antinucci et al. eLife 2020). How reliably can spiking be evoked? Such measurements would be very informative and raise the strength of the evidence from "solid" to "convincing/compelling".

3. Inclusion of more visual illustrations of the experimental setup and the mode of action of each optogenetic protein in the Figures would help guide the reader through the manuscript. Not every reader will be familiar with the names of the presented proteins or their way of action.

4. The adenylyl and guanylyl cyclase optogenetic tools are presented and discussed as possible valuable manipulators of neuronal excitability. However, it seems to the reviewer, that such tools are best used when the nucleotide second messengers are indeed the target signal in the experiment (e.g. the cited Gutierrez-Triana et al. 2015). For the fast control of membrane potential, the available optogenetic channels and pumps should be ideal. I suggest revising the wording in the manuscript accordingly.

Reviewer #3 (Recommendations for the authors):

Some specific points:

The latency (and bimodal distribution) of the behavioral responses raises serious doubts and suggests to me that at least a substantial fraction of responses are not a result of direct optogenetic activation of V2a neurons. As the authors have collected data for opsin negative control animals, they should analyze the latency distribution with a view to seeing if opsin-independent swims arise at longer latencies (e.g. >100 ms). This could guide selection of a latency threshold that could be applied to the data in Figure 2.

The long latency of swims evoked in the BeGC, bPAC and OaPAC experiments is also a concern. Here, all swims appear to be long latency with none <100 ms. Although cAMP/cGMP modulation might be expected to drive behavior at longer latencies that channelrhodopsins, it is unclear how changes in cAMP/cGMP leads to V2a firing, especially with mean latency exceeding 2 s. Although the authors speculate about a CNG-mediated mechanism, no data is presented. Electrophysiological recordings and/or pharmacology would be informative here.

The paper is motivated by the need to "precisely control second messengers in vivo", and the introduction and discussion talk at length about the different ion selectivity of channelrhodopsins. I was surprised by how little assessment there was of either of these factors in V2a cells or cardiomyocytes. With so little assessment of second messenger pathways, I consider this claim goes beyond what the manuscript has accomplished: "We demonstrated the usefulness of multiple types of channelrhodopsins, cGMP/cAMP-producing tools (in this study), and of GPCR rhodopsins (in the accompanying paper) to manipulate second messenger signaling in zebrafish neurons and cardiomyocytes." I'd suggest rewriting the manuscript with a more accurate focus on the scope of the work presented.

In figure 1, the sensitivity (photocurrent vs light intensity) analysis is unclear. What are units of EC50? Why is no response curve shown?

Photocurrent amplitude data is not convincing. Why is N so low? For GtCCR4-YFP two datapoints are far greater than the remaining four. This raises suspicions and calls for more data. The current data is not suitably represented by an arithmetic mean and (what I presume are) SEM error bars.

In assessing rates of optogenetically evoked responses, data are presented without error bars (i.e. Figure 2C, Figure 5C, Fig6C). This suggests trials have been pooled across animals but error should be computed across the biological replicates in each group and the statistical analysis should be similarly revised.

F3A: There seems to be a substantial difference in heart size between these examples. Is the scale the same? If so, what accounts for this?

In several places the description of results needs to made more precise and specific.

– In text describing figure 1: `suggesting that high-frequency photostimulation is possible for these channelrhodopsins`. What is meant by "high"? Its a rather intermediate tau-OFF compared to other opsins, and much slower than fast opsins such as Chronos.

– "Optical activation of GtCCR4 and KnChR in the hindbrain reticulospinal V2a neurons, which are involved in locomotion, immediately induced swimming behavior": This statement is misleading both because responses are can never be "immediate" and because the latency of e.g. GtCCR4 responses are often very slow. Similarly, "Light stimulation of the reticulospinal V2a neurons with CrChR2[T159C]-mCherry immediately evoked tail movements": Please be more precise and give the mean latency, in milliseconds.

– In the discussion: "activation with BeGC1 and PACs induced neural activation with a short delay". This seems a strange statement as V2a-evoked behavioral responses had very long latency.

eLife. 2023 Aug 17;12:e83975. doi: 10.7554/eLife.83975.sa2

Author response


Essential revisions:

1) Provide an analysis of the effects of different light intensities, on both behaviour and neuronal activity.

We stimulated neuronal ND7/23 cells, reticulospinal V2a neurons or cardiomyocytes expressing microbial optogenetic tools at various light intensities and examined their effects on neuronal activities and behaviors (tail movements and cardiac arrest). These data are shown in revised Figure 1, Figure 1-supplement 1, Figure 3, Figure 3-supplements 2, 3, Figure 5, and Figure 5-supplements 1, 2. We described the data on page 12, line 20-page 13, line 1 and page 14, lines 10-13 in the revised manuscript.

2) Provide a comparison with existing optogenetic tools, e.g. CoChR.

We examined the activity of CoChR and ChrimsonR in neuronal ND7/23 cells. In addition, we generated transgenic zebrafish expressing CoChR or ChrimsonR, and examined their activity in V2a neurons and cardiomyocytes. We thereby compared the activity of GtACR4, KnChR, and CrChR2[T159C] with that of CoChR and ChrimsonR. The data are shown in Figure 1, Figure 1-supplement 1, Figure 2, Figure 3, Figure 3-supplement 3, and Figure 5-supplement 2. We described the data for CoChR and ChrimsonR in the relevant part of the Result section (pages 8-14) and discussed a comparison on page 18, lines 3-16 in the revised manuscript.

We found that KnChR was a more potent optogenetic tool than GtCCR4, CrChR2, and ChrimsonR in zebrafish reticulospinal V2a neurons. Optogenetic activity of KnChR was comparable to that of CoChR in both reticulospinal V2a neurons and cardiomyocytes (Figures 1, 3, 5). Truncation of KnChR prolonged the channel open lifetime by more than 10-fold (Tashiro et al. , 2021) (Figure 1). KnChR conducts various monovalent and bivalent cations, including H+, Na+, and ca2+, while KnChR has a higher permeability to Na+ and ca2+ and a higher permeability ratio of ca2+ to Na+ than CrChR2 (Tashiro et al. , 2021). These properties may contribute to the high photo-inducible activity of KnChR. Activation of KnChR may induce influx of more cations with a longer channel open time than CrChR2 and ChrimsonR, leading to stronger cell depolarization. Optogenetic activity of KnChR was comparable to that of GtCCR4 in cultured cells, but higher than GtCCR4 in zebrafish reticulospinal V2a neurons and cardiomyocytes. While the exact reason is unclear, it is possible that the expression of functional KnChR protein may be high in zebrafish cells.

3) Provide a comparison with opsin-negative animals. The long latency gives rise to the possibility that some of the responses are not due to the transgene.

We compared the latency of zebrafish larvae expressing each tool with those larvae not expressing the tool. The data are shown in Figure 3, Figure 3-supplement 1, Figure 5, Figure 6, Figure 7, and Figure 7-supplement 1. Statistically, we considered responses within 8 s after the start of light stimulation as positive, and significant differences in responses were observed depending on the presence or absence of tool expression, suggesting that tail movements were induced by tool activation. In the absence of tool expression, spontaneous movements were occasionally observed, but they did not often occur within 8 s. We described the data on page 15, line 20-page16, line 4 in the revised manuscript.

4) Rewrite the manuscript, especially the introduction, to more accurately reflect the scope of the work. A focus on second messengers necessitates analysis of the second messengers.

We agree with the reviewers and the editor. We changed the title to “Optogenetic manipulation of neuronal and cardiomyocyte functions in zebrafish using microbial rhodopsins and adenylyl cyclases” and revised the abstract and introduction accordingly. We explained in the introduction section that the purpose of the study is to understand cell and tissue function through the optical control of intracellular ions and cAMP/cGMP and to examine their effects.

Reviewer #1 (Recommendations for the authors):

In introducing bPac and OaPac, the authors note that both tools have been tested in a variety of species and were found to be useful. The suggestion that the tools warrant further testing because their activity in other cell types and species are unknown (last line, first paragraph on page 7), is illogical. The unstated assumption here is that zebrafish provides the definitive test for all cell types and all vertebrates. The data provide strong evidence that these tools work in two cell types in the zebrafish, but the relevance to other species cannot be extrapolated based on the authors' own reasoning. It is suggested that the rationale for the experiments be rephrased.

We have added a sentence “Specifically, the effectiveness of bPAC and OaPAC in a variety of zebrafish cells remains unclear” to the end of this paragraph, to explain the purpose of this study.

The limitations of KnChR, in terms of not being selective to a single ion, points to what seems to be a weakness. Specifically, as currently written, the manuscript does not appear to have a strong central question/idea, but does contain a number of interesting findings related to optogenetic tools that work in zebrafish. It is strongly recommended that framework of the manuscript be recrafted.

Instead of making “second messenger regulation” the main focus of the manuscript, we have restructured the entire manuscript to focus on the optogenetic control of zebrafish neurons and cardiomyocytes.

The manuscript would be strengthened with a consideration of whether the tools tested here are more useful than tools that are currently in use, or where the tool provides some new insight. While a comparison has been done for neuronal depolarization with KnChR, this experiment is not relevant to testing the role of specific second messengers. For the case of Pac, it should be noted that bPac has been tested previously in the zebrafish nervous system, in the context of the PAC-K system (https://www.nature.com/articles/s41467-018-07038-8). It would also be informative to readers who are not specialists in the cardiac system to know how changing cGMP levels would be expected to affect heart beat.

We have now cited the paper by Bernal Sierra et al., 2018 describing a two-component optical silencer system comprising PACs and the small cyclic nucleotide-gated potassium channel SthK, (e.g. fused bPAC-K), and discussed the use of PAC to activate and inhibit zebrafish neurons on page 21, lines 3-7.

A strength of the paper is the use of indicators such as GCaMP6 and flamindo2. It would be informative to monitor cGMP directly e.g. with Green cGull (https://pubmed.ncbi.nlm.nih.gov/28722423/) or the more recent red version.

In addition to flamindo2, we attempted to express cAMP indicator R-FlincA (Ohta et al., Sci Rep 8(1), 1866, 2018) and cGull (Matsuda et al., ACS Sens 2(1):46-52, 2017). We attempted to transiently express these in early-stage zebrafish embryos using the CMV promoter, but no expression was observed. We also attempted to generate transgenic fish expressing these indicators using the elavl3 promoter, but failed to establish Tg fish that expressed them. It is plausible that these indicators are not stable in zebrafish cells. Since these are negative data, we decided not to describe them in this paper.

Reviewer #2 (Recommendations for the authors):

1. As a method for assessing expression levels, immunohistochemistry is only semi-quantitative. It is not mentioned how detectable the expression is under the epifluorescent stereomicroscope in vivo. The authors should comment on that. Also, information regarding the expression when using other driver lines and the level of mosaicism would be very helpful, if included in the manuscript.

We were able to detect the expression of the tools (excluding bPAC and OaPAC, which were not fused with fluorescent proteins) in the hindbrain reticulospinal V2a neurons and cardiomyocytes of all living transgenic zebrafish in vivo under an epifluorescent stereomicroscope. We described this on page 10, lines 19-21, and page 13, lines 13-15.

We quantified the expression levels by immunostaining with anti-fluorescent marker antibodies or anti-Tag antibodies (for bPAC and OaPAC, GtCCR4-MT), which we have detailed in Table 1. Notably, among the transgenic lines, KnChR was the only one that displayed clear mosaic expression. We described this on page 11, lines 4-5.

2. It is great to see such big effects on behavior. However, it remains unclear to what extent the target cells have directly been activated. In other studies on the application of optogenetics, measurements of neuronal activity changes and their light dependency are oftentimes included (e.g. see Antinucci et al. eLife 2020). How reliably can spiking be evoked? Such measurements would be very informative and raise the strength of the evidence from "solid" to "convincing/compelling".

We agree with the reviewer that electrophysical measurements are very informative. However, because we are unfamiliar with the electrophysiological analysis of zebrafish cells, and because it would take a great deal of time to produce accurate data in many transgenic fish, we decided not to conduct electrophysiology in vivo assessments in this study.

3. Inclusion of more visual illustrations of the experimental setup and the mode of action of each optogenetic protein in the Figures would help guide the reader through the manuscript. Not every reader will be familiar with the names of the presented proteins or their way of action.

We have prepared a diagram of the experimental setup and the optogenetic tools used in the study, which is included as Figure 2A and 2B.

4. The adenylyl and guanylyl cyclase optogenetic tools are presented and discussed as possible valuable manipulators of neuronal excitability. However, it seems to the reviewer, that such tools are best used when the nucleotide second messengers are indeed the target signal in the experiment (e.g. the cited Gutierrez-Triana et al. 2015). For the fast control of membrane potential, the available optogenetic channels and pumps should be ideal. I suggest revising the wording in the manuscript accordingly.

For testing tools that regulate intracellular cAMP and cGMP concentrations, it may be better to test them in cells and tissues where the role of cAMP and cGMP is well understood, as described in Gutierrez-Triana et al. 2015. However, we focused our analysis on reticulospinal V2a neurons and cardiomyocytes, partly as a comparison with channelrhodopsins. We discussed this on page 21, lines 8-14 in the Discussion section.

Reviewer #3 (Recommendations for the authors):

Some specific points:

The latency (and bimodal distribution) of the behavioral responses raises serious doubts and suggests to me that at least a substantial fraction of responses are not a result of direct optogenetic activation of V2a neurons. As the authors have collected data for opsin negative control animals, they should analyze the latency distribution with a view to seeing if opsin-independent swims arise at longer latencies (e.g. >100 ms). This could guide selection of a latency threshold that could be applied to the data in Figure 2.

We compared the latency of zebrafish larvae expressing each tool with those larvae not expressing the tool. The data are shown in Figure 3, Figure 3-supplement 3, Figure 5, Figure 6, Figure 7, and Figure 7-supplement 1. Statistically, we considered responses within 8 s after the start of light stimulation as positive, and significant differences in responses were observed depending on the presence or absence of tool expression, suggesting that tail movements were induced by tool activation. In the absence of tool expression, spontaneous movements were occasionally observed, but they did not often occur within 8 s. We described the data on page 15, line 20-page 16, line 4 in the revised manuscript.

The long latency of swims evoked in the BeGC, bPAC and OaPAC experiments is also a concern. Here, all swims appear to be long latency with none <100 ms. Although cAMP/cGMP modulation might be expected to drive behavior at longer latencies that channelrhodopsins, it is unclear how changes in cAMP/cGMP leads to V2a firing, especially with mean latency exceeding 2 s. Although the authors speculate about a CNG-mediated mechanism, no data is presented. Electrophysiological recordings and/or pharmacology would be informative here.

We agree with the reviewer that electrophysiological experiments would be necessary to fully understand the mechanisms by which photostimulation of BeGC, bPAC and OaPAC leads to neuronal activation. However, because we are unfamiliar with the electrophysiological analysis of zebrafish cells and because it would take a great deal of time to produce accurate data in many transgenic fish, we decided not to conduct electrophysiology in vivo assessments in this study.

The paper is motivated by the need to "precisely control second messengers in vivo", and the introduction and discussion talk at length about the different ion selectivity of channelrhodopsins. I was surprised by how little assessment there was of either of these factors in V2a cells or cardiomyocytes. With so little assessment of second messenger pathways, I consider this claim goes beyond what the manuscript has accomplished: "We demonstrated the usefulness of multiple types of channelrhodopsins, cGMP/cAMP-producing tools (in this study), and of GPCR rhodopsins (in the accompanying paper) to manipulate second messenger signaling in zebrafish neurons and cardiomyocytes." I'd suggest rewriting the manuscript with a more accurate focus on the scope of the work presented.

Instead of making “second messenger regulation” the main focus of the manuscript, we have restructured the entire manuscript to focus on the optogenetic control of zebrafish neurons and cardiomyocytes.

In figure 1, the sensitivity (photocurrent vs light intensity) analysis is unclear. What are units of EC50? Why is no response curve shown?

The units of EC50 in Figure 1E are mW/mm2. We have shown the response curve in Figure 1-supplement 1.

Photocurrent amplitude data is not convincing. Why is N so low? For GtCCR4-YFP two datapoints are far greater than the remaining four. This raises suspicions and calls for more data. The current data is not suitably represented by an arithmetic mean and (what I presume are) SEM error bars.

We have collected more data on the photocurrent amplitudes for each tool and revised Figure 1B. Error bars in Figure 1 indicate SEM.

In assessing rates of optogenetically evoked responses, data are presented without error bars (i.e. Figure 2C, Figure 5C, Fig6C). This suggests trials have been pooled across animals but error should be computed across the biological replicates in each group and the statistical analysis should be similarly revised.

In our revision, we have shown the rate of optogenetically evoked responses (locomotion or cardiac arrest rate) per individual animal in the revised Figure 3, Figure 3-supplements 2, 3, Figure 5, Figure 5-supplements 1, 2, Figure 6, and Figure 7.

F3A: There seems to be a substantial difference in heart size between these examples. Is the scale the same? If so, what accounts for this?

The magnification of the heart image in Figure 4A (original Figure 3A) is the same. There are individual differences in heart size.

In several places the description of results needs to made more precise and specific.

– In text describing figure 1: `suggesting that high-frequency photostimulation is possible for these channelrhodopsins`. What is meant by "high"? Its a rather intermediate tau-OFF compared to other opsins, and much slower than fast opsins such as Chronos.

The low Tau-OFF values indicate faster recovery after photostimulation, which allows for early re-stimulation after recovery and therefore a higher frequency of photostimulation. However, in the Results section, we have described the data without any interpretation.

– "Optical activation of GtCCR4 and KnChR in the hindbrain reticulospinal V2a neurons, which are involved in locomotion, immediately induced swimming behavior": This statement is misleading both because responses are can never be "immediate" and because the latency of e.g. GtCCR4 responses are often very slow. Similarly, "Light stimulation of the reticulospinal V2a neurons with CrChR2[T159C]-mCherry immediately evoked tail movements": Please be more precise and give the mean latency, in milliseconds.

Instead of using the word "immediate," we explained the optogenetically evoked locomotion responses by providing latency data in the Results section as follows. “Light stimulation with GtCCR4-3.0-EYFP and GtCCR4-MT evoked tail movements at comparable locomotion rates, although it took more time than CrChR2[T159C]-mCherry (GtCCR4-3.0-EYFP locomotion rate 62.5 ± 8.77%, latency 1.59 ± 0.536 s; GtCCR4-MT locomotion rate 50 ± 8.91%, latency 1.16 ± 0.445 s, Figure 3A, B, Figure 3-supplement 1, Figure 3-videos 2, 3)”.

– In the discussion: "activation with BeGC1 and PACs induced neural activation with a short delay". This seems a strange statement as V2a-evoked behavioral responses had very long latency.

As noted above, instead of using the ambiguous term “short”, we explained the data by providing latency data in the Results section. In the Discussion, we changed the sentence to “activation with BeGC1 and PACs induced neural activation with a relatively long delay”.

Associated Data

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

    Supplementary Materials

    Figure 1—source data 1. Data for Figure 1, photocurrent properties of ChRs.
    Figure 1—figure supplement 1—source data 1. Data for Figure 1—figure supplement 1, light power dependencies of photo current amplitude of ChRs.
    Figure 2—source data 1. Data for Figure 2D, tail movements of Tg larvae expressing ChRs.
    Figure 3—source data 1. Data for Figure 3, optogenetic activation of hindbrain reticulospinal V2a neurons by ChRs.
    Figure 3—figure supplement 1—source data 1. Data for Figure 3—figure supplement 1, latency of locomotion in ChR-expressing and non-expressing larvae.
    Figure 3—figure supplement 2—source data 1. Data for Figure 3—figure supplement 2, latency and duration of locomotion induced with ChRs by light of various intensities.
    Figure 3—figure supplement 3—source data 1. Data for Figure 3—figure supplement 3, optogenetic activation of V2a neurons by CoChR and ChrimsonR.
    Figure 4—source data 1. Data for Figure 4, cardiac arrest induced with ChRs.
    elife-83975-fig4-data1.xlsx (855.6KB, xlsx)
    Figure 5—source data 1. Data for Figure 5, cardiac arrest and resumption of heartbeats with ChRs.
    elife-83975-fig5-data1.xlsx (188.5KB, xlsx)
    Figure 5—figure supplement 1—source data 1. Data for Figure 5—figure supplement 1, cardiac arrest induced with ChRs by light of various intensities.
    Figure 5—figure supplement 2—source data 1. Data for Figure 5—figure supplement 2, cardiac arrest induced with CoChR and ChrimsonR.
    Figure 6—source data 1. Data for Figure 6, optogenetic activation of hindbrain reticulospinal V2a neurons with BeGC1-EGFP.
    Figure 7—source data 1. Data for Figure 7, optogenetic activation of reticulospinal neurons with PACs.
    Figure 7—figure supplement 1—source data 1. Data for Figure 7—figure supplement 1, latency of locomotion in PAC-expressing and non-expressing larvae.
    Figure 7—figure supplement 2—source data 1. Data for Figure 7—figure supplement 2, optogenetic control of the heart by bPAC.
    MDAR checklist
    Source code 1. Software that detects the timing of each heartbeat from the data of luminosity changes over time.
    elife-83975-code1.zip (874B, zip)

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting files and source data files have been provided for Figures 1-7.


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