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1Department of Neurobiology and Behavior and 2Howard Hughes Medical Institute, State University of New York, Stony Brook, New York 11794
Submitted 3 May 2004; accepted in final form 8 June 2004
| ABSTRACT |
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| INTRODUCTION |
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In the course of analyzing mutant zebrafish, we have identified a line that has provided new insights into the role of gap junctional coupling in skeletal muscle. Within 3 days after fertilization, wild-type zebrafish acquire the ability to swim rapidly in response to touch. At the same age, we find that mutant shocked (sho) fish exhibit a profound locomotory defect that is reflected in an aborted escape response (Granato et al. 1996
). Our physiological analyses have revealed an unusual persistence of extensive coupling in sho fish that may contribute to the motility phenotype. However, the mutation responsible for excessive coupling does not reside in the gene encoding connexin 43, the predominant gap junctional isoform in skeletal muscle (Balogh et al. 1993
).
| METHODS |
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Whole cell patch clamp recordings were performed on tail muscle of in vivo fish. For this purpose, the fish were decapitated, skinned, and immobilized on a silicone elastomer (Sylgard) substrate with tungsten pins. The recordings were performed on a Zeiss FS microscope using differential interference contrast and a x40 water-immersion objective. These optics permitted unequivocal distinction between fast and slow muscle on the basis of the morphology and orientation (Lefevbre et al. 2004). The detailed methodology for recording of both spontaneous and evoked synaptic current is described elsewhere (Ono et al. 2001
, 2002
). For dual muscle recordings of coupling and spontaneous synaptic currents, a List EPC9/2 amplifier (Instrutech, Port Washington, NY) was used. An AM Systems 2100 stimulator (Carlsborg, WA) was used to stimulate the spinal cord. All data were obtained at 100-kHz sampling rate and filtered at 10 kHz for analysis. Analysis of data were performed using combinations of Igor (WaveMetrics, Lake Oswego, OR), MiniAnalysis (Synaptosoft, Decatur, GA), and HekaPulse Fit (Instrutech). Statistics were performed using the Student's t-test and the SDs along with the mean values are indicated. The whole cell internal recording solution contained (in mM) 120 KCl, 5 K-HEPES, and 5 BAPTA, and the bath solution contained (in mM) 110 NaCl, 5 Na-HEPES, 4 CaCl2, 3 glucose, 2 KCl, and 1 MgCl2. Recordings of fictive swimming motor patterns were made by placing a 10-µm-diam pipette in the myocommatal region and applying gentle suction (Masino and Fetcho 2003
). Careful repositioning of the electrode provided optimal signal-noise for recording ventral root action currents. For these recordings, fish were not decapitated, but they were treated with 1 µM
-bungarotoxin to block contractions. The fictive swimming episodes were initiated by either shining a bright light in the eye or tapping the head.
18
-glycyrrhetinic acid (Sigma) was stored at room temperature as a 0.1 M stock solution in DMSO. Lucifer yellow (Sigma) was stored at 4°C in 0.1% internal whole cell recording solution.
Connexin 43 from sho fish was sequenced to identify mutations that may occur in the coding region. The coding region of connexin 43 occurs in a single exon, which was PCR amplified from genomic sho DNA using primers f-GCTAGAACTCCCTCAAGATGGG and r-TGTCAGTCCTCTAGCGTTGGG and sequenced. For mapping studies, genomic DNA was extracted from individual day 3 embryos by overnight incubation in 1.7 mg/ml proteinase K (Invitrogen) in 10 mM Tris pH 8.0 with 1 mM EDTA at 55°C. An equivalent amount of this preparation was taken from 20 fish and pooled for bulk segregant analysis (Postlethwait and Talbot 1997
), which was performed with a set of 214 microsatellite markers (http://zebrafish.mgh.harvard.edu/) (Invitrogen, Carlsbad, CA).
| RESULTS |
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-bungarotoxin to prevent global muscle contractions. The fictive motor pattern was evoked either by tapping the fish on the head or shining light into the eyes. In every sho and wild-type fish tested, a patterned motor output was observed that lasted for several seconds (Fig. 1B). This "fictive swimming" pattern in the nervous system is responsible for driving a coordinated and persistent swimming response. Importantly, it occurred in sho fish despite the inability of this mutant to mount any lasting or coordinated swimming. Quantitative analyses of the patterned output indicated a mean burst interval of 51.2 ± 6.5 ms (n = 4) in sho fish that was not significantly different (P = 0.13) from 44.2 ± 5.4 ms (n = 5) obtained for wild-type fish. Subtle differences may have gone undetected due to the poor signal strength and our inability to determine the firing pattern of individual units with this technique. One clear difference between mutant and wild-type fish was reflected in the increased difficulty in eliciting the patterned motor output in sho fish, consistent with the higher threshold for eliciting movement. However, this feature does not explain the inability to swim in response to the patterned output. Therefore we turned our attention to electrophysiological recording from skeletal muscle to test for defects.
We next examined motor neuron-evoked muscle responses that might account for the abortive escape response in sho. For this purpose, we stimulated spinal motor neurons and recorded the associated synaptic current in fast muscle. Fast muscle was chosen because it is responsible for mediating the fast escape response that is largely defective in sho fish. Additionally, only fast muscle is able to generate action potentials in response to depolarization (Buss and Drapeau 2000
). Voltage-clamp recordings from fast muscle of sho held at 50 mV showed a strongly biphasic decay (Fig. 2A ). Exponential fitting of the current decay in sho muscle yielded a slow component that averaged 4.6 ± 1.2 ms (n = 8) and accounted for 34 ± 14% of the overall inward current, and a fast exponential component corresponding to 0.6 ± 0.2 ms (n = 8). Wild-type synaptic current decay was consistently fit with a single-exponential function that averaged 0.8 ± 0.1 ms (n = 21; Fig. 2A).
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) and wild-type (n = 9; 55.2 ± 35.3 M
). More importantly, the fact that different current trajectories are observed for sho and wild-type fish under voltage clamp argue that differences in passive membrane properties are not solely responsible for slowed repolarization. This additional slow component of current decay in sho reflected either direct differences in synaptic current kinetics or differences in electrotonically transmitted synaptic currents between muscle cells (Nguyen et al. 1999
-glycyrrhetinic acid to block electrical coupling (Fig. 2C). This compound effectively blocks electrical coupling in skeletal muscle (Proulx et al. 1997
We next examined spontaneous synaptic currents to determine whether the sho phenotype involved altered ACh receptor function. This approach has resulted in identification of several mutant lines of zebrafish wherein receptor function is altered (Lefevbre et al. 2004; Ono et al. 2001
, 2002
). As found for wild-type fish, whole cell recordings from skeletal muscle of sho fish reveal two separate classes of spontaneous synaptic events (Buss and Drapeau 2000
) that can be readily separated on the bases of either rise time or decay kinetics (Fig. 3A ). The fast class of events is generally much larger in amplitude than the slow class of events. The slow class of synaptic currents is consistently smaller than 60 pA and likely represents electrotonic reflections of currents actively generated in neighboring muscle (Buss and Drapeau 2000
). Direct evidence that the small-amplitude class represents an electrotonic reflection of currents from nearby muscle is shown by the ability of 18
-glycyrrhetinic acid to eliminate these currents (Fig. 3C). This concentration of blocker increased the input resistance of fast muscle from 55 ± 35 (n = 9) to 272 ± 94 M
(n = 5), indicating a significant reduction in electrical coupling (P < .001). Additionally, transfer of Lucifer yellow between muscle cells was blocked in the presence of 75 µM 18
-glycyrrhetinic acid, further indicating a reduction in electrical coupling. Our measurements indicate that dye coupling spreads to 3.3 ± 1.2 fast muscle cells (n = 9) in 3-day fish, but no dye spread to neighboring cells was observed in the presence of blocker (n = 5). The larger-amplitude synaptic currents with fast rise times and decay times <1 ms remained in the presence of 75 µM 18
-glycyrrhetinic acid, indicating that they are generated directly by the muscle cell under whole cell voltage clamp. Examination of sho fish indicated a similar dual class of spontaneous synaptic currents (Fig. 3B). Quantitative comparisons between fast muscle of sho and wild-type revealed no significant differences for either the large fast class or small slow class. As with wild-type fish, treatment with 75 µM 18
-glycyrrhetinic acid blocked the slow spontaneous synaptic currents and had no effect on the kinetics of the fast synaptic currents. At 90 mV, wild-type (n = 14) and sho (n = 12) fish exhibited identical values for both mean rise time (0.2 ± 0.1 ms) and mean decay time (0.6 ± 0.1 ms) of large spontaneous synaptic currents in fast muscle. The mean rise time for slow small events measured 0.8 ± 0.2 ms for both wild-type and sho fish. The mean decay time for slow small events measured 2.2 ± 0.6 ms in wild type; this was not significantly different from the 2.5 ± 0.8 ms obtained from sho recordings (P = 0.26). The fact that spontaneous synaptic current kinetics were similar in sho and wild-type fish pointed to differences in electrical coupling as causal to the differences in evoked synaptic responses rather than altered receptor kinetics.
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On days 34, the coefficient of electrical coupling was determined for each cell pair for frequencies between 1 Hz and 6 kHz (Fig. 4A ). For this purpose, sine wave command pulses were injected into one of the cells, and the magnitude of the follower current in the adjacent muscle was used to obtain the coupling coefficient. As found for other coupled networks, the coefficient was frequency dependent with the characteristics of a low-pass filter (Galarreta and Hestrin 1999
). For slow skeletal muscle of wild-type fish, the mean network-coupling coefficient was 0.63 ± 0.08 (n = 5) at 1 Hz. The coupling measured for slow muscle of sho fish corresponded to 0.69 ± 0.08 (n = 6) and was not significantly different from wild-type fish (P = 0.29). Fast skeletal muscle of wild-type fish was weakly coupled with a mean network-coupling coefficient of 0.11 ± 0.07 (n = 7) at 1 Hz (Fig. 4A). By contrast, fast muscle in sho fish exhibited significant increases in network coupling at all frequencies tested (Fig. 4A). At 1 Hz, the coefficient was 0.32 ± 0.10 (n = 6) for sho; this was nearly three times greater than wild-type (P < 0.001). The high-frequency cutoff determined for sho fast muscle pairs (1.5 kHz) averaged nearly four times greater than wild-type (400 Hz) fast muscle pairs. This extension to higher frequency is probably not specific to sho muscle, but more likely results from the ability to resolve small current passage due to increased coupling. Previous studies have shown that fast muscle in larval zebrafish is dye coupled (Nguyen et al. 1999
). Therefore we attempted to observe differences in dye coupling that would reflect the increased electrical coupling in sho fish. However, no significant differences (P = 0.84) in dye spread were observed between fast muscle of 3 day wild-type (3.3 ± 1.2; n = 8) and sho (3.4 ± 1.0; n = 9).
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Differences in electrical coupling between sho and wild-type fast muscle were further reflected in the ability of spontaneous synaptic currents to pass between muscle cells (Fig. 4B). In wild-type fish, the fast synaptic responses that appear on day 3 are no longer able to effectively pass to adjacent muscle preventing estimates of coupling coefficients. However, in sho fish, the largest spontaneous synaptic events generated in one cell consistently produced a much smaller and slower counterpart in the second muscle cell (Fig. 4B). The distortion and reduction in amplitude are consequences of the low-pass filtering by the network electrical properties. Additionally, very small events that were exceptionally slow were also seen occasionally in both muscle cells as paired events (data not shown). These small events were likely generated in a third cell rather than either of the cells under voltage clamp. This conclusion is based on a paired amplitude ratio that is near unity and the lack of a phase shift between paired events, indicative of the fact that both events had traversed the low-frequency filter. These criteria were used to exclude such events from the estimates of coupling. An amplitude ratio histogram of the events was therefore based solely on events deemed to be generated in either of the two voltage-clamped muscle cells (Fig. 4B). Coupling coefficients, determined in this manner, could not be determined accurately for fast muscle of wild-type fish because the coupling was too weak and infrequent. However, the mean coupling ratio determined for sho fish on the basis of synaptic currents corresponded to 0.07 ± 0.04. The coupling ratio was lower than the coefficient determined with 1-Hz sine waves because of the low-pass characteristics of the network. Moreover, the frequency that provides coupling coefficients that were comparable to paired synaptic amplitude ratio was 400 Hz, reflecting the higher frequency components of the synaptic currents.
The primary candidate for mediation of electrical coupling between skeletal muscle cells is connexin 43 (Balogh et al. 1993
). A role for connexin 43 in the sho phenotype was investigated by sequence analysis of genomic DNA obtained from mutant fish and by genetic mapping. No mutations in the coding sequence of connexin 43 were found. However, two neutral base pair polymorphisms were identified within individual sho mutants, indicating that recombination had occurred within the connexin 43 gene. Therefore this gene was not tightly linked to the sho mutation. Indeed results of our bulk segregant analysis revealed that the sho mutation maps to chromosome 2 (LG2). Current assembly information provided by the zebrafish genome sequencing project indicates that connexin 43 resides instead on chromosome 20 (LG20) (www.ensembl.org/Danio_rerio), ruling out the possibility of a mutation within the entire connexin 43 gene.
| DISCUSSION |
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At the developmental stages where sho fish exhibited aborted escape responses, our measurements of electrical coupling revealed a threefold elevation over wild-type fish. Generally, in wild-type fish, the fast muscle was functionally uncoupled so that even the very largest synaptic currents failed to spread to the neighboring cell. In sho fish, however, the increased electrical coupling was manifest as an ability of large synaptic currents, both evoked and spontaneous, to effectively transit the gap junctions. Importantly, the shared electrotonic reflections were even larger for evoked than spontaneous currents. This is due to the fact that evoked currents were frequently very large (>10 nA) at the site of origin, reflecting the nearly synchronous release of multiple quanta. Additionally, many such responses contribute to the overall electrotonic reflection because each motor neuron innervates a large field of electrically coupled muscle cells thereby producing significant strengthening of responses as reflected in our current-clamp measurements. Finally, the kinetics of electrotonically transmitted currents were slowed by the network filtering (Galarreta and Hestrin 1999
), producing an even more effective depolarization of neighboring muscle. The slowed electrotonic inward current was manifest as an afterdepolarization in the neighboring muscle. Such afterdepolarizations were also observed in some wild-type recordings because fast muscle was still weakly coupled at this stage of development. However, both the amplitudes and decay times were significantly less when compared with sho at a comparable age. Finally, it is important to point out that the excessive electrical coupling will result in altered time constants of muscle membrane depolarization that may directly contribute to the shape of the action potential. It is difficult to sort out the relative contributions from shared synaptic current versus altered input resistance. However, the fact that we see differences in the evoked current under voltage clamp indicates that the electrotonic currents are likely to contribute significantly to the depolarization in sho fish.
The fact that sho fish appeared to be less touch-sensitive, in addition to the swimming dysfunction, makes it likely that factors other than excessive electrical coupling in muscle contribute to the phenotype. Additionally, the mutant fish died within the first 2 wk after birth despite the improved ability to swim. Thus there is clearly an additional manifestation of the mutation rendering the effects on muscle electrical coupling as secondary. However, our analyses of synaptic function suggest that excessive electrical coupling in sho fish contributes to the single-tail-flip phenotype. Indeed, our data support the idea that the aforementioned slow component of evoked current seen in sho could potentially account for this characteristic of the phenotype. The slow component of inward current in sho fish results in an exaggerated and prolonged afterdepolarization after stimulation of the motor nerve. The prolonged afterdepolarization would be expected to increase both the strength and duration of muscle contraction. Our high-speed analyses of escape responses in sho fish at day 3 are consistent with the idea that the initial bend is prolonged compared with wild type. In some types of vertebrate skeletal muscle, such a prolongation may not impact on muscle contraction speed. However, skeletal muscle in zebrafish has exceedingly fast contraction as reflected in the swimming responses shown in Fig. 1. The wave of swimming activity in zebrafish occurs at
20 Hz and can achieve speeds as high as 70 Hz (Masino and Fetcho 2003
). The two- to threefold prolongation of depolarization in sho could potentially lead to physical interference of fast contraction or alternatively might interfere with the ability to generate muscle action potentials. Further support for the idea that excessive electrical coupling underlies the abortive swimming was provided by recordings from 6-day-old sho fish. At this stage of development, many of the mutant fish have recovered to the extent that they can mount reasonable escape responses. The measurements of network coupling in these fish indicate coefficients that have decreased to a level commensurate with day 3 wild-type fish, the stage at which wild-type fish acquire the ability to mount an effective escape response. Thus like Xenopus, zebrafish appear to undergo a reduction in electrical coupling of fast muscle during early development (Armstrong et al. 1983
). Finally, recordings from ventral roots of motor neurons indicate that patterned output can occur in sho fish. Like wild-type fish we observe long episodes of motor neuron bursting that normally drives swimming behavior. However, sho is unable to exhibit such swimming, further indicating that part of the problem lies in the ability of muscle to follow the CNS drive. Because the fish were paralyzed with
-bungarotoxin it is possible that muscle contractions in sho normally alter the motor output through some type of feedback. However, we were unable to test the idea because of the large movements associated with fictive swimming in nonparalyzed fish. Overall, these findings suggest that this timed loss of electrical coupling in muscle plays an important role in the acquisition of the fast movements such as those involved in escape responses.
The locus of the sho mutation is not known, precluding direct tests for a role of electrical coupling in conferring the phenotype. Connexin 43 is the principle subunit of gap junctions expressed in skeletal muscle (Balogh et al. 1993
), but our results rule out a mutation in this gene as causal to the phenotype. Sequencing the coding region of sho connexin 43 revealed no mutations, and mapping the sho locus to LG2 appears to eliminate connexin 43 as a candidate. According to current data provided by the genome sequencing project (www.ensembl.org/Danio_rerio), connexin 43 resides on LG20. Thus the mechanisms causal to the increased electrical coupling of sho resides in a mutation involving either another connexin gene or, alternatively, in a gene the product of which can affect electrical coupling. A gene other than connexin is further suggested by the fact that sho fish exhibit a higher threshold for escape response and eventually die despite the eventual loss of excessive electrical coupling. Ultimately, the solution to this interesting problem will await identification of the genetic mutation underlying the sho phenotype.
| GRANTS |
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| ACKNOWLEDGMENTS |
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Present address of F. Ono: Whitney Laboratory, University of Florida, St. Augustine, FL 32080-8610.
| FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Address for reprint requests and other correspondence: P. Brehm, Dept. of Neurobiology and Behavior, State University of New York at Stony Brook, Stony Brook, NY 11794 (E-mail: pbrehm{at}notes.cc.sunysb.edu).
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