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The Journal of Neuroscience, April 1, 1999, 19(7):2511-2521
Synaptic Vesicle Dynamics in Rat Fast and Slow Motor Nerve
Terminals
Brian
Reid1,
Clarke R.
Slater2, and
Guy S.
Bewick1
1 Department of Biomedical Sciences, Institute of
Medical Sciences, University of Aberdeen, Aberdeen AB25 2ZD, United
Kingdom, and 2 Department of Neurobiology, The
Medical School, University of Newcastle, Newcastle upon Tyne NE2 4HH,
United Kingdom
 |
ABSTRACT |
We have investigated whether rat motor nerve terminals with
different in vivo activity patterns also have different
vesicle trafficking characteristics. To do this, we monitored, using
combined optical and electrical techniques, the rate of exocytosis
(during different frequencies and patterns of activity), the releasable pool size, and the recycle time of synaptic vesicles in terminals on
soleus (slow-twitch) and extensor digitorum longus [(EDL); fast-twitch] muscle fibers. EDL terminals had a higher initial quantal
content (QC) than soleus, but during tonic or phasic stimulation at
20-80 Hz, EDL QC ran down to a greater extent than soleus QC. By
recording loss of fluorescence from exocytosing vesicles labeled with
the dye FM1-43, EDL terminals were found to destain faster than those
in soleus. Simultaneous intracellular recording of end plate
potentials, to count the number of vesicles released, permitted
estimation of the total vesicle pool (VP) size and the recycle
time by combining the optical and electrophysiological data. Soleus
vesicle pool was larger than EDL, but recycle time was not
significantly different. These terminals, therefore, are adapted to
their in vivo activity patterns by alterations in QC and
VP size but not recycle time.
Key words:
synaptic vesicles; vesicle recycling; FM1-43; exocytosis; quantal content; neuromuscular junction
 |
INTRODUCTION |
The adaptation of neurotransmitter
release to a pattern of activity of a neuron in vivo
is essential for normal functioning throughout the nervous system. For
motoneurons, this suggests that the terminals innervating tonically
active postural muscles might be better adapted for sustained
transmitter release than those innervating less frequently used phasic
muscles (Henneman et al., 1965
; Henneman and Olson, 1965
) and that this
might be reflected in differences in nerve terminal structure and
synaptic vesicle trafficking. We have addressed this issue by comparing vesicular release from motor nerve terminals in two rat skeletal muscles with very different patterns of activity: the extensor digitorum longus (EDL) and the soleus.
The EDL is a fast-twitch muscle that is easily fatigued. Terminals in
EDL are active in short bursts (~1% of animal's activity time) at a
high frequency (80 Hz) (Hennig and Lømo, 1985
). In contrast, the
slow-twitch soleus is fatigue-resistant, with terminals that are active
for prolonged periods (~30% of activity time) at a low frequency (20 Hz). Although the properties of neurotransmitter release from terminals
in muscles with differing contractile characteristics have been
investigated previously (Tonge, 1974
; Gertler and Robbins, 1978
;
Coniglio et al., 1993
; Connor et al., 1997
), stimulation paradigms were
not based on known in vivo activity patterns. Furthermore, recording methods now known to be inaccurate (McLachlan, 1978
; Slater
et al., 1992
) were used in some of those studies.
Our initial investigations showed that soleus nerve terminals sustained
release better than those in EDL during tonic stimulation at 20 Hz. We
therefore went on to analyze the cellular processes that might account
for these differences. In particular, we wanted to know whether the
kinetics of vesicle recycling were different in nerve terminals adapted
to such different in vivo activity patterns. We therefore
monitored the kinetics of recycling synaptic vesicles by labeling them
with the fluorescent styryl pyridinium dye FM1-43 (Betz and Bewick,
1992
; Betz et al., 1992
). Stimulation of labeled terminals resulted in
decreased fluorescence because exocytosis of vesicular neurotransmitter
also produced dye release. Monitoring vesicle exocytosis by
simultaneous time lapse imaging of dye loss and standard intracellular
recording of postsynaptic potentials (Betz and Bewick, 1993
), we
compared synaptic vesicle trafficking parameters in EDL and soleus
motor nerve terminals at 20 Hz. To obtain a more detailed picture of
how terminals adapted to different activity patterns differ in vesicle
recycling characteristics, we then investigated the effect of changing
the patterns and frequency of stimulation.
Some of this data has appeared in preliminary form (Reid and Bewick,
1996
, 1997
).
 |
MATERIALS AND METHODS |
Many of the techniques used here have been described in detail
elsewhere (Betz and Bewick, 1992
, 1993
; Betz et al., 1993
; Ribchester
et al., 1994
) and will only be reviewed briefly.
Dissection and terminal labeling. Large (>350 gm) male
Sprague Dawley rats were used because their EDL and soleus muscles contain an almost homogeneous fiber type. We have confirmed, by myofibrillar ATPase assay (Brooke and Kaiser, 1969
) on frozen sections,
that EDL and soleus muscles from male rats of this size contain at
least 95% fast fibers (96.56%) and slow fibers (97.15%), respectively. Rats were stunned and then killed by cervical
dislocation, and EDL and soleus nerve-muscle preparations were
dissected. Preparations were mounted in silicon rubber (Sylgard; Dow
Corning, Stade, Germany)-lined dishes and soaked for 20 min in 1 µM FM1-43 (Molecular Probes, Leiden, The Netherlands)
dissolved in gassed (95% O2-5% CO2)
saline (Liley, 1956
). The saline was of the following composition (in mM): NaCl 138.8, KCl 4, NaHCO3 12, KH2PO4 1, MgCl2 1, CaCl2 2, and glucose 11. The nerve was taken up into a
suction electrode, and synaptic vesicles were labeled by nerve
stimulation in the FM1-43 solution. Dye was taken up into the vesicles
during activity-induced vesicle turnover. The stimulation regimen for
labeling was alternating short trains of 10 (10 sec) and 1 (5 sec) Hz
for 15 min. This regimen was designed to stimulate cycling of as many
vesicles as possible without stressing the terminal. Longer stimulation times did not result in brighter terminal labeling, suggesting that
this regimen fully loaded the terminals. The stimulation pulses were
applied via an AMPI Master-8 pulse generator and an AMPI
Iso-flex amplifier/stimulus isolator (Intracel Ltd., Issaquah, WA).
Before imaging, preparations were washed in gassed dye-free saline for
30 min to remove dye that had partitioned into external membranes.
Muscle fiber diameter. Fiber diameters were determined from
mature (16-18 weeks) and 6-week-old rats. The midsection of the muscle
was cut out with a scalpel blade and wrapped in a strip of ox liver to
provide support during freezing. This was done in isopentane cooled to
176°C with liquid nitrogen. Sections 10-µm-thick were made using
a Reichert-Jung Cryocut E cryostat and labeled for ATPase activity
(Brooke and Kaiser, 1969
). Images were acquired using the system
described below. Analysis was performed using Openlab software
(ImproVision Ltd., Coventry, UK). Freehand lines were drawn around each
fiber, and the diameter was derived from the perimeter.
Imaging. Stimulation of labeled terminals led to destaining
as dye-filled vesicles released neurotransmitter and dye simultaneously during exocytosis. To monitor exocytosis optically, images were acquired at 10 sec intervals from individual terminals during 10 min of
activity-dependent destaining. To prevent contraction, muscles were
paralyzed by exposure to either 5 µM
d-tubocurarine (Sigma, Poole, UK) for 20-30 min to block
the binding of acetylcholine to its receptor or 2 µM
µ-conotoxin GIIIB (Sigma) for 30-40 min to selectively block muscle
voltage-gated sodium channels (Plomp et al., 1992
). Images were
acquired using a cooled charge-coupled device camera (Mono Coolview;
Photonic Science, East Sussex, UK) attached to an M2B microscope (Micro
Instruments Ltd.). Terminals were viewed through a Zeiss (Oberkochen,
Germany) 40× water immersion objective (0.75 NA) and illuminated with
a Prior Scientific (Cambridge, UK) HB100 mercury arc light source
through a standard FITC filter set (B2A; Nikon, Surrey, UK). To reduce
photobleaching and phototoxicity, a suitable en face
superficial terminal was quickly located using light attenuated by
neutral density filters to, at most, 3.13% of full lamp intensity.
Thereafter, fluorescent illumination occurred only during image
capture. Illumination times were controlled via a Uniblitz D122 shutter
driver (Vincent Associates, Rochester, NY) in the light path. During
image acquisition, light intensity was further attenuated by neutral
density filters to 1.56 or 0.78% of maximum intensity. Biovision or
Openlab software (ImproVision Ltd.) controlled the shutter opening
times and camera (exposures were 8-8.4 sec), and images were saved
onto an Apple PowerMac computer.
Intracellular recording. Standard electrophysiological
techniques were used to record miniature end plate potentials (MEPPs) and evoked EPPs during destaining using glass microelectrodes filled
with 3 M KCl. Muscle fibers were impaled ~50-100 µm
from the terminal to be imaged, thus minimizing decay of the synaptic signal (Auerbach and Betz, 1971
) but avoiding mechanical distortion of
the terminal. Initial resting membrane potentials were more negative
than
75 mV and, after an initial fall, were stable during the
experiment and greater than
50 mV. Potentials were recorded via an
Axoclamp 2B amplifier (Axon Instruments, Foster City, CA) and stored
simultaneously on a digital tape recorder (Bio Logic DTR-1204; Intracel
Ltd.) and the hard drive of a Walters 286 personal computer running
Strathclyde Electrophysiology Software Whole-Cell Program (WCP V1.2;
John Dempster, Department of Physiology and Pharmacology, University of
Strathclyde, Glasgow, UK).
Data analysis. Analysis of terminal destaining was performed
using NIH Image software (http://rsb.info.nih.gov/nih-image/). Briefly,
all fluorescently labeled regions of a terminal that were in focus were
selected for measurement of pixel intensity. A background region was
also selected, and the data were background-subtracted to give a value
of "net intensity" and to account for variability between
preparations. The data for all the images of a time series were
compiled and analyzed using Excel (Microsoft, Bellevue, WA). To allow
comparison of the rates of destain between different terminal types,
the net intensity data in pixel intensity units (PIU) were converted
into percentage of units of dye loss, such that the dye lost by a
terminal at the start of the experiment was 0% and at the end of 10 min stimulation (60 images) was 100%. For example, the percentage of
dye lost after n number of images is:
where 0 and 60 are the first and last images, respectively.
Initial quantal contents (QC) were determined using the direct
method, i.e., the mean amplitude of the first EPP of the stimulus train
was divided by the mean MEPP amplitude and then corrected for nonlinear
summation (Martin, 1955
). Reversal potential was assumed to be zero.
Vesicle recycle time (RT) was determined by superimposing dye
loss and summed QC data from the same terminal at time 0 and then
scaling the dye loss curve to fit the summed QC data for as long as
possible during the early stages of stimulation (Betz and Bewick, 1993
)
(see Figs. 6, 7). Using this method, the dye loss curve invariably fell
below the summed QC after ~2 min. This deviation was interpreted
(Betz and Bewick, 1992
) as being attributable to vesicles that
have previously lost their dye being released a second time, producing
an electrical event but no dye loss. RT was determined by eye as the
minimum time at which divergence of the two signals was apparent (see
Fig. 7, inset). This time has been shown to be equivalent in
accuracy to the time determined by mathematical best fit prediction
(Betz and Bewick, 1993
).
Percentage dye lost per EPP was calculated as: % dye lost before
RT
number of EPPs recorded by same time.
Releasable vesicle pool (VP) size was determined as: (100
% dye lost before RT) × summed QC at same time.
In turn, the percentage of the vesicle pool released per initial EPP
is: (QC
VP) × 100.
Statistics. Average data are shown as mean ± SE. The statistical significance of differences between means
was tested using Student's t test for samples of equal or
unequal variances, as appropriate, and curve fitting was performed via
MacCurveFit 1.1.1 (Kevin Raner Software, Mt. Waverley, Victoria,
Australia) using the Marquardt-Levenberg algorithm.
 |
RESULTS |
Quantal release in EDL versus soleus
Rat EDL terminals release more vesicles per impulse (QC) than
soleus terminals for isolated stimuli or low-frequency stimulation trains (Gertler and Robbins, 1978
; Wood and Slater, 1997
). However, such conditions do not reflect the in vivo activity patterns
experienced by terminals in either muscle. EDL terminals are active at
high frequency for a few seconds, whereas soleus terminals are active for many minutes at a constant 20 Hz (Hennig and Lømo, 1985
). Thus,
very different vesicle trafficking parameters may be involved in
vivo. We therefore began by examining quantal release in the two
muscles during tonic 20 Hz stimulation.
Neither MEPP amplitude (EDL, 0.28 ± 0.01 mV; soleus, 0.28 ± 0.02 mV; n = 10) nor initial MEPP frequency (EDL,
2.7 ± 0.4/sec; soleus, 3.0 ± 0.7/sec; n = 10) were significantly different between the two muscles. These MEPP
amplitudes were lower, and their frequencies were higher than those
measured previously in 6- to 8-week-old rats (Wood and Slater, 1997
).
However, this is in line with age-dependent changes in MEPP size and
frequency described previously in mouse EDL and soleus (Schofield and
Marshall, 1980
). For example, mean MEPP amplitude in young mice (4-6
weeks) was 1.3 mV, decreasing to 0.5 mV in mature mice (6-10 weeks),
whereas MEPP frequency increased from 2/sec to 9.5/sec. These changes
were attributed to an increase in muscle fiber diameter and a decrease
in membrane resistance. Fiber diameters in the rats used here (at least
350 gm; 16- to 18-week-old) are significantly larger than those in 6-week-old rats. EDL fast-fiber diameters were 64.98 ± 0.82 µm in mature rats compared with 42.12 ± 0.56 µm in young rats
(p < 0.001; n = 50).
Immediately after 10 min stimulation at 20 Hz, although MEPP frequency
was significantly increased (EDL, 8.1 ± 1.3/sec; soleus, 9.9 ± 2.1/sec; n = 10; p < 0.01 for both
muscles), the amplitude was unchanged (EDL, 0.26 ± 0.01 mV;
soleus, 0.27 ± 0.02 mV; n = 10; p > 0.1 for both), indicating that postsynaptic sensitivity to ACh had
not changed and vesicle filling with neurotransmitter was complete,
even after prolonged stimulation.
The initial QC of EPPs was significantly higher for EDL than for soleus
(101.50 ± 4.43 vs 86.91 ± 4.48; n = 35 and
29, respectively; p < 0.03), confirming previous
findings (Table 1) (Gertler and Robbins,
1978
; Wood and Slater, 1997
). However, by monitoring the EPP amplitude
throughout the experiment, it was clear that the EPP amplitude ran down
continuously during the stimulation period for both muscles (Fig.
1). EPP rundown was much more marked in
EDL than in soleus terminals and especially during the second half of
the stimulation period (Fig. 1A). Figure
1B shows the results from 10 muscles of each type;
EDL QC on average dropped by 90.16%, whereas soleus QC dropped by only
65.74% between the beginning and end of the 10 min stimulation period.
Because MEPP amplitude was unchanged at the end of stimulation, the
rundown in EPP amplitude was entirely caused by a fall in the number of vesicles released per impulse (QC). This decline had at least three
components. The fastest had a duration of <1 sec and has been
interpreted by others as reflecting the depletion of a pool of
"readily releasable" vesicles (Kamenskaya et al., 1975
; Glavinovic 1979a
). This component was too short-lived to be detectable in Figure
1B. The two components evident in Figure
1B could be well described as the sum of two
exponential curves (R2 > 0.99 for both
muscles). The fast component of decline had a time constant
(
) of 7.2 sec in EDL and 9.7 sec in soleus. The slowest component of
EPP depression had a
of 139 sec in EDL as opposed to 176 sec in
soleus. Although the anatomical basis of any of these components is
unknown, functionally it results in soleus terminals being better
adapted to continuous activity than EDL terminals, as expected from
their activity patterns in vivo.

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Figure 1.
A, Electrophysiological recordings
from muscle fibers innervated by motor nerve terminals stimulated at a
constant 20 Hz. Spontaneous MEPPs (top) were recorded
for 2-3 min before and after stimulation. Evoked EPPs
(bottom) were recorded throughout the 10 min stimulation
period. There were no significant differences in MEPP amplitude or
frequency between EDL and soleus terminals before stimulation.
B, Mean QC against time during stimulation at 20 Hz for
EDL and soleus terminals (n = 10). Upon
stimulation, QC ran down rapidly; EDL QC ran down faster and to a
greater extent than soleus. The greater ability of soleus terminals to
maintain adequate quantal release during prolonged 20 Hz stimulation is
consistent with their in vivo activity pattern.
|
|
The apparent adaptation of soleus terminals to tonic stimulation,
indicated by these studies, could be caused by several factors: (1)
larger vesicle pools and therefore lower fractional release per
impulse; (2) faster vesicle recycling; or (3) a combination of
1 and 2.
We therefore went on to use FM1-43 labeling (Betz and Bewick, 1992
,
1993
) to compare vesicle recycling times in these terminals. We also
developed an elaboration of the original technique so that we could
make estimates of the total VP size.
Morphology of nerve terminals in EDL and soleus and
their destaining
Figure 2 shows various nerve
terminals on EDL (above) and soleus (below)
muscle fibers after labeling with FM1-43 and washing. The staining
highlights apparent morphological differences between these terminal
types in adult rat muscle. EDL terminals are approximately circular,
with an absence of dye in the very center and the dye distributed in an
almost continuous ribbon. In contrast, soleus terminals are
significantly elongated along the muscle fiber long axis. Labeling of
soleus terminals is usually in a greater number of separate regions,
and there is frequently an area free from dye on one side of the
terminal, near the point of nerve entry. There is, however, no
difference in terminal area (measured as FM1-43 fluorescence) between
adult EDL and soleus (370 ± 105.8 vs 388.2 ± 129.8 µm2; n = 100; p > 0.2). These morphological data are the subject of further study and
will be reported in detail elsewhere.

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Figure 2.
Examples of EDL (top) and soleus
(bottom) motor nerve terminals after activity-dependent
labeling with the fluorescent dye FM1-43 and washing. The
longitudinal axes of the muscle fibers are aligned
approximately vertically in these pictures. Bright
regions indicate clusters of thousands of labeled vesicles.
Morphological differences are apparent; soleus terminals are elongated
along the muscle fiber, and their labeling is in smaller but more
numerous spots. There is, however, no difference in terminal area or
initial labeling intensity between EDL and soleus. Scale bar, 10 µm.
|
|
Stimulation of labeled terminals caused dye loss as vesicle exocytosis
took place. Figure 3 shows an EDL
terminal (above) and a soleus terminal (below)
after 0, 5, and 10 min stimulation at 20 Hz. From these images, it
appears that, although there is variability in initial intensities, the
different terminal regions all destain at similar rates, as shown
previously in the frog (Betz and Bewick, 1992
). To test the validity of
this impression, the brightness of various areas of the terminal was
determined before and during destaining. The image of the terminal in
Figure 4A was acquired
at the start of the experiment, and the results of the analysis are
shown in Figure 4B. Regions of interest are marked to
show how analysis was performed on all in-focus regions of a terminal.
Background intensity was subtracted to yield the net intensity of all
the labeled regions. Analysis of the initial pixel intensity revealed
considerable variation between the different regions of this terminal
(from 51 to 100 PIU; mean, 78 ± 3.58; n = 14).
The average initial brightness of whole terminals, however, did not
differ between EDL and soleus (EDL, 41.05 ± 3.14 PIU; soleus,
48.53 ± 4.27 PIU; n = 23 and 25, respectively;
p > 0.05).

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Figure 3.
Nerve stimulation causes labeled terminals to
destain as vesicles undergo exocytosis and lose their dye. An EDL
(top) and a soleus (bottom) terminal are
shown at three different time points during continuous stimulation at
20 Hz. Terminals lose most dye during the first 2-3 min of the
experiment. The activity-dependent destaining of terminals is rapid and
is independent of the very slow activity-independent dye loss displayed
in axonal regions (arrows) (see Fig. 4). Scale bar, 10 µm.
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Figure 4.
Analysis of terminal destaining. A,
Stained in-focus areas of the terminal were outlined manually, and
these regions of interest (terminal ROIs) were analyzed
for brightness (pixel intensity). This analysis was repeated for corresponding regions of interest
in each image of a time series. The regions of interest are shown here,
and a background and axon region of interest have also been drawn.
Scale bar, 10 µm. B, Pixel intensity of the regions of
interest in A plotted against time over the 10 min
stimulation period. The data have been background-subtracted. The
circles show the average pixel intensity over the whole
terminal, and the squares show the brightness of the
axon. Initially, all vesicles in the terminal are labeled with dye, and
therefore the terminal fluoresces brightly. Upon stimulation (time 0),
large-scale vesicle exocytosis commences, and vesicles release their
dye. Initial brightness did not affect the rate of destaining of
different parts of the terminal (inset), because the
percentage of dye loss for all regions followed very similar time
courses. The initial fast rate of destaining slows as the number of
labeled vesicles diminish and are replaced by recycled (unlabeled)
vesicles, which begin to compete with labeled vesicles for release. The
axon myelin sheath is labeled in an activity-independent manner and
loses very little dye during the experiment, showing photobleaching
does not contribute significantly to the destaining.
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Activity-dependent nerve terminal destaining appeared to consist of two
components. The first, most evident over the initial 3-4 min, was
characterized by a high rate of dye loss. This gave way to a second
component of slower dye loss as unlabeled vesicles reentered the
vesicle pool and competed with labeled vesicles for release (Betz and
Bewick, 1993
). There was no evidence of more rapid components of
destaining that might correspond to the two most rapid components of
EPP depression (see above). It is likely that this is because the
number of quanta in these components and the associated changes in
intensity are both too small and too rapid to be resolved by our
methods (see below).
During the initial component, all regions of the nerve terminal
appeared to destain at the same rate. In the soleus terminal in Figure
4, the mean destaining rate of all boutons was 0.23 ± 0.01 PIU/sec (n = 14) over the first 3 min, regardless of
their initial intensity. Thus, for all subsequent experiments, the rate of destaining of a terminal was expressed as the average over all
in-focus regions. Toward the end of the period of stimulation, the rate
of dye loss from terminals was very low and not different between EDL
and soleus (EDL, 0.013 ± 0.001 PIU/sec; soleus, 0.017 ± 0.002 PIU/sec; n = 20; p > 0.5).
The activity-dependent destaining appeared to be superimposed on a
level of activity-independent labeling that varied considerably between
the different regions of the terminal. Subtraction of this component
from each of the individual regional destaining curves revealed that
destaining was essentially identical across the entire terminal (Fig.
4B, inset). The similarity in the
intensity data after subtraction of the slow component also shows that
vesicle densities are probably very similar throughout the terminal.
Thus, variations in initial intensities are probably caused by
differences in the underlying background level of staining. It is not
clear what this variation in background between different regions of the same terminal is attributable to, but dye accumulation in membrane
of terminal Schwann cells or postsynaptic folds are obvious candidates.
In contrast to terminals, axons (in EDL and soleus), which take up
FM1-43 in an activity-independent manner because of the large amount
of membrane in the myelin sheath (Betz et al., 1992
), lost very little
dye (0.008 ± 0.002 PIU/sec; n = 20 axons) over the course of the 10 min experiment. This indicates that
photobleaching, which can occur when FM1-43-labeled cells are exposed
to high levels of excitatory illumination (Henkel et al., 1996b
), is
not a significant factor in our experiments because of the low levels of illumination used during image acquisition (see Materials and Methods).
The rate of terminal destaining, even at the end of the period of
stimulation, was significantly higher (p < 0.01) than that in axonal regions (Figs. 3, 4B). This
is probably because of a small number of labeled vesicles still being
lost from the terminals. In addition, the highly lipophilic myelin
sheath may be slower than terminals to lose its dye to washout and/or photobleaching.
Kinetics of destaining in EDL versus soleus
Ribchester et al. (1994)
observed that terminal destaining in
mouse triangularis sterni muscle could be well fitted by the sum of two
exponentials. The data for the soleus terminal in Figure 4 (20 Hz tonic
stimulation) was also better fit by the sum of two exponentials
(R2 = 0.98) than by a single exponential
(R2 = 0.89). The fast
was, on
average, more rapid in EDL terminals (2.74 ± 0.71 min;
n = 10) than soleus (7.12 ± 0.16 min;
n = 10; p < 0.01) and was primarily
complete within 3 min. The slower component (
>30 min in each case)
contributed little to the early destaining and was not significantly
different between EDL and soleus. In the subsequent data analysis,
therefore, the contribution of the slow component to the fast
destaining was not subtracted.
The first 5 min of destaining of EDL and soleus terminals, expressed as
percentage of dye lost over the full 10 min experiment, is compared in
Figure 5A. During the first
minute of stimulation, EDL terminals lost on average 0.70 ± 0.05% of dye per second compared with 0.43 ± 0.03 in soleus
(n = 10; p < 0.0005). Consequently, EDL terminals took only 75 sec to lose 50% of their initial
fluorescence compared with 140 sec for soleus (Fig. 5A).
These data were acquired from muscles that had been paralyzed with
d-tubocurarine, which blocks the postsynaptic acetylcholine
receptors. This compound, however, reportedly increases the rate of
rundown of QC in rat terminals during high-frequency stimulation
(Glavinovic 1979b
; Ferry and Kelly, 1988
). The different destaining
rates may therefore reflect a differential sensitivity of the two
terminals to the presynaptic effects of d-tubocurarine. We
therefore repeated these experiments using µ-conotoxin GIIIB, which,
at 2 µM, selectively blocks voltage-gated
Na+ channels on rat muscle fibers, leaving those on
the nerve unaffected (Braga et al., 1992
; Plomp et al., 1992
). To
compare the effect of these two treatments on terminal destaining, the
percentage of dye lost during the first 2 min of stimulation was
determined for terminals of each type in d-tubocurarine
(n = 10) and µ-conotoxin GIIIB (n = 5). These data are shown in Figure 5B. Clearly, there is no
significant difference in dye loss between the two treatments (EDL,
p > 0.9; soleus, p > 0.5). In each
case, EDL terminals lose ~18% more dye during the first 2 min than
soleus terminals (d-tubocurarine, p < 0.001; µ-conotoxin GIIIB, p < 0.003).

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Figure 5.
Comparison of dye release from EDL and soleus
terminals. A, Destaining of EDL and soleus terminals
during the first 5 min of stimulation at 20 Hz expressed as cumulative
percentage of dye lost. The EDL terminals have a higher initial rate of
dye release: 0.70 versus 0.43 PIU/sec in soleus (n = 10). B, Comparison of the percentage of dye lost by
EDL and soleus terminals during the first 2 min of stimulation at 20 Hz
in the presence of 5 µM d-tubocurarine
(n = 10) or 2 µM µ-conotoxin GIIIB
(n = 5) to block muscle contraction. EDL terminals
show a higher rate of dye loss in both treatments (EDL vs soleus;
d-tubocurarine, p < 0.001;
µ-conotoxin GIIIB, p < 0.003). There is no
significant difference in the rate of dye loss between the two
treatments (d-tubocurarine versus µ-conotoxin GIIIB;
EDL, p > 0.9; soleus, p > 0.5).
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Basis for different rates of destaining
The higher initial rate of dye release per unit time, and hence
per nerve impulse, in EDL nerve terminals means a greater fraction of
their pool of labeled vesicles (VP) undergo exocytosis during prolonged
continuous stimulation than in soleus terminals. Although the number of
vesicles lost per impulse (QC) from the terminals is initially higher
in EDL than in soleus, this changes with prolonged stimulation. The
higher rate of destain with prolonged stimulation could be because of
either of two options: (1) the mean QC is higher in EDL, but the VP is
the same in the two terminal types, or (2) both the mean number of
vesicles lost per impulse and VP differ.
To determine which scenario is correct, we therefore estimated VP in
EDL and soleus nerve terminals and then compared it with the
electrophysiological data on QC.
We estimated VP size by correlating the fraction of dye lost (measured
optically) with the actual number of vesicles lost (measured
electrophysiologically). This is a novel extension of the correlation
of styryl dye and transmitter release first used by Betz and Bewick
(1992
, 1993
). The crucial difference with respect to the original study
is that we measured QC, i.e., the actual number of vesicles
released and not simply EPP amplitude. As in frog terminals, dye loss
and transmitter correlate well over the first minute (Fig.
6) (Betz and Bewick, 1992
, 1993
).

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Figure 6.
Correlation of cumulative transmitter release
(summed QC) and dye loss during the first 100 sec of destaining.
Transmitter release is proportional to dye loss during this time
because in fully loaded terminals, every vesicle that releases
transmitter also loses dye (n = 10 terminals).
These data were aligned manually by adjusting the dye loss scale so
that the lines correspond for as long as possible during
stimulation.
|
|
From the dye loss and electrophysiological data, the estimation of the
initial VP size was as follows, illustrated using the data in Figure 6.
In this case, for EDL, 30% of dye loss corresponds to a loss of 5 × 104 vesicles. Thus, the total number of vesicles
in the terminal initially (VP) would be:
The results of this procedure for all 10 terminals of each type
are shown in Table 1. Our results correlate well with many other
estimates from similar preparations using different techniques. Elmqvist and Quastel (1965)
, using hemicholinium to inhibit synthesis of acetylcholine, estimated a VP size of 366,000 ± 92,000 in rat diaphragm terminals. Schofield and Marshall (1980)
used the same drug
on mouse diaphragm and estimated a VP size of 174,000 ± 36,000. Searl et al. (1990)
used (
)-vesamicol to inhibit acetylcholine transport into vesicles and estimated a VP size of 292,000 ± 58,000 in snake cutaneous muscle terminals. Although it is higher than the 69,000 estimated by Searl et al. (1991)
in cut rat hemidiaphragm preparations using (
)-vesamicol, this is possibly because they used
smaller, younger rats (200 gm) than we used here (>350 gm).
It is clear from the data in Table 1 that the VP in EDL terminals is
only ~70% of that in soleus terminals. Thus, EDL terminals destain
faster not only because they have a larger quantal vesicle release per
impulse but also because of a smaller pool of vesicles from which to
lose those vesicles. These data also allow us to compare the fraction
of VP released over 2 min with the fraction of dye lost over the same
time frame (Table 1). EDL terminals release a greater proportion of
their vesicle pool in 2 min than soleus terminals under these
conditions, there being no significant difference between the
percentage of dye lost and percentage of VP lost in 2 min in EDL
(p > 0.7) or soleus (p > 0.3).
As mentioned above, our studies of quantal release suggest that part of
the VP appears to be more readily releasable than the rest. We estimate
that the sum of vesicles contained in the two fastest components of
release (
<1 sec and
5-10 sec) in EDL, is 6979 vesicles, or
3.9% of the total VP, and in soleus, is 8548 vesicles, or 3.4% of the
total VP. Thus, in EDL, although the total VP is smaller than in
soleus, a somewhat larger fraction of the VP is available for immediate
release during periods of high-frequency activity lasting up to 10 sec.
This correlates well with the differences in in vivo
activity patterns between these two muscles in which EDL terminals are
active for 1-2 sec at 60-80 Hz (Hennig and Lømo, 1985
).
Vesicle recycling
Given the higher QC and the smaller VP size in the EDL terminals,
it was of great interest to know whether the rate at which vesicles are
recycled after exocytosis differs between the two muscles. It might be
expected that EDL terminals, losing a higher proportion of their
vesicles per impulse, would require the vesicles to be returned to the
pool more rapidly to maintain transmitter release. We therefore went on
to estimate the vesicle recycle time for the two different types of terminal.
During prolonged stimulation of frog motor nerve terminals, dye loss
and summed QC curves deviate at later times, the rate of dye loss
eventually falling below the rate of quantal release (Betz and Bewick,
1992
, 1993
). The deviation was interpreted as being caused by the
recycling of unlabeled vesicles back into the terminal, diluting the
labeled pool and competing with labeled vesicles for release. This
slows down the rate of dye loss relative to transmitter release. The
minimum period when the deviation first becomes apparent was termed the
recycle time, i.e., the time taken from docking and fusion of a
vesicle, through membrane retrieval, refilling with neurotransmitter,
and priming ready for release again (Bennett and Scheller, 1994
). In
frog motor nerve terminals, the recycle time was found to be ~90 sec
(Betz and Bewick, 1993
). In the current study, a similar deviation was observed (Fig. 7). Interestingly, the
recycle times in the EDL and soleus were not significantly different,
at ~110 sec (p > 0.5) (Fig. 7, Table 1).
Thus, although the rate of vesicle exocytosis differs in terms of the
initial QC and the fraction of the VP in the two terminal types, there
is no apparent difference in the total vesicle recycle time.

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Figure 7.
During prolonged continuous stimulation, dye loss
begins to lag behind transmitter release (summed QC) after a period of
~110 sec (n = 10 terminals). Dye loss falls below
transmitter release when vesicles that have previously lost their dye
reenter the vesicle pool and again undergo exocytosis but this time
release transmitter but not dye. The time of first deviation between
the two lines was determined by eye. This "vesicle recycle time"
shows no significant difference between EDL and soleus (Table 1). The
inset shows the trace from a single terminal; the point
of deviation is indicated with an arrow.
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Effect of stimulation frequency on vesicle recycling
Studies investigating the effect of changing activity on the total
recycle time and the rate of endocytosis (the first step in the
recycling of exocytosed vesicles) in frog motor nerve terminals (Betz
and Bewick, 1993
; Wu and Betz, 1996
) report that recycle time is
unchanged, but the endocytic rate becomes slower with increased
frequency or duration of stimulation. The experiments we have described
so far show that there is no difference in recycle times between
terminals on the different muscle fiber types when they are both
stimulated at the same frequency. However, EDL and soleus terminals are
active at different frequencies in vivo. Thus, it was
important to see whether recycle time could be modulated by changes in
frequency. The frequency used in our initial experiments (20 Hz
continuous) corresponded to that for the soleus motoneuron in
vivo. We therefore examined the effect of changing first the stimulation frequency and then the activity pattern on total recycle time. We chose these parameters to approximate the pattern experienced by the EDL in vivo.
Initially, to obtain as direct a comparison as possible, experiments
were performed at continuous 80 Hz stimulation, the same rate as the
in vivo EDL firing pattern but much longer duration (median
in vivo burst duration, 1.6 sec). Our measurements of VP
size and QC above would predict that most preparations would be
depleted of vesicles before any vesicles were completely recycled ready
for release again. In good agreement with this prediction, very few
preparations were able to maintain transmitter release long enough for
deviations between dye loss and transmitter release to be seen (~3
min). Further, again as predicted, soleus terminals consistently lasted
longer than those in EDL. Unsuccessful experiments were terminated when
EPPs had run down to undetectable levels or when evidence of axonal
block (Krnjevic and Miledi, 1958
) was seen (sequences of EPPs
disappearing and reappearing). In preparations that did not show
signs of axonal block, the terminals ceased releasing dye and
transmitter at approximately the time when we calculated that the
terminals should have been depleted of vesicles, i.e., after ~150,000
(EDL) or 250,000 (soleus) vesicles had been released. These data all
support our calculations of the VP size and QC from experiments at 20 Hz. To reduce axonal block and prolong the duration of vesicle release,
we repeated experiments at the slightly lower frequency of 60 Hz, with
similar results. Although we were unable to obtain a complete set of
data (i.e., long enough to assess recycle time) from any EDLs, we were
successful with two soleus muscles, one at each frequency tested. The
data from these muscles (Table 2) showed
no obvious effect of stimulation rate on vesicle recycle time, despite
the increase in stimulation rate by three or four times. Similarly, the
calculated VP size in these muscles was in good agreement with our
earlier calculations, again as predicted by our model. The much smaller
percentage of dye per EPP at higher frequencies reflects the much
enhanced rundown under these conditions.
Effect of activity pattern on vesicle recycling
To approximate more closely the pattern of activity of the EDL
in vivo, we next investigated the effect of different
stimulation patterns on recycle time. The same number of stimuli were
applied as in the 20 Hz continuous stimulation experiments but in a
pattern approximating that in the EDL in vivo. Thus, we
stimulated with short bursts at 80 Hz (2.5 sec) interspersed with 7.5 sec of rest, repeated each 10 sec for 10 min. The data for three EDLs
and two soleus terminals are shown in Table
3. As can be seen, there was again no
detectable effect of changes in activity frequency or pattern on total
recycle time or fraction of dye lost per EPP. Further, the destaining
kinetics of soleus terminals stimulated intermittently at 80 Hz were
not significantly different from those stimulated continuously at 20 Hz
(e.g., R2 = 0.97; fast
, 3.53 min;
slow
, 35.28 min). This is as would be predicted, because the mean
rate of activity in the two situations is the same.
 |
DISCUSSION |
This study reveals significant differences in synaptic vesicle
trafficking in motor nerve terminals, which apparently adapt them to
their distinctive in vivo patterns of impulse activity. In
particular, soleus terminals, which fire in vivo for long
periods of time at ~20 Hz, support sustained quantal transmitter
release much better than the terminals in EDL, which fire in short
bursts at 60-80 Hz.
Soleus terminals have a lower QC but maintain release better
As in previous studies of these rodent muscles (mouse, Tonge,
1974
; Bewick and Tonge, 1991
; rat, Gertler and Robbins, 1978
; Wood and Slater, 1997
), we find the initial QC of terminals in the
slow-twitch soleus muscle is significantly lower than those in the
fast-twitch EDL. Our estimates of QC (~87 for soleus and ~102 for
EDL) are slightly higher than those of Wood and Slater (1997)
(~62
and ~80, respectively) but are in a similar ratio. Our use of older
rats here, with subsequently larger muscle fibers and nerve terminals,
probably account for this difference. Although Gertler and Robbins
(1978)
report qualitatively similar results, their much higher QCs
overall probably reflects their use of the variance method, which
substantially overestimates QC (McLachlan, 1978
; Slater et al.,
1992
).
Another marked difference in vesicle release characteristics between
EDL and soleus terminals was revealed during tonic 20 Hz stimulation.
Although triphasic in both muscles, QC rundown was much greater in EDL
at all frequencies (Fig. 1), suggesting soleus terminals are much
better adapted to tonic transmitter release. There are few relevant
previous studies available for direct comparison. In the garter snake,
terminals on tonic muscle fibers maintained spontaneous transmitter
release much better than terminals on twitch fibers when depolarized
with high-potassium solutions for several hours (Morgan and Proske,
1984
; Coniglio et al., 1993
; Connor et al., 1997
), although the
response to evoked events was not measured. Gertler and Robbins (1978)
measured "steady state" QC in rat soleus and EDL terminals after
200 stimuli. This is equivalent to only the first 10 sec of our
experiments at 20 Hz. Nevertheless, our observation of a lower QC in
EDL terminals during tonic 20 Hz stimulation is qualitatively different
from their findings. The reason for this is not obvious but may relate either to their indirect measurement of QC or because they also examined younger animals (200 gm, ~6 weeks vs >350 gm, ~17 weeks). Muscles in younger animals have differentiated less completely into
fast-twitch and slow-twitch types, a difference almost certainly reflected in their nerve terminal properties, too.
Thus, one or more aspects of synaptic vesicle trafficking properties
appears better adapted to maintaining transmitter output during tonic
activity in soleus terminals. We therefore went on to use the FM 1-43
technique to investigate which aspects of vesicle trafficking might
underlie this adaptation, beginning with the synaptic vesicle
distribution and terminal destaining characteristics.
Are all vesicles labeled by the labeling regimen?
An important consideration for these data are whether the loading
regimen labels all releasable vesicles in the terminals. Three lines of
evidence suggest that this is so. First, our labeling stimulation
regimen recycled ~378,000 vesicles per terminal (15 min, alternating
trains of 5 sec at 1 Hz and 10 sec at 10 Hz = 6300 stimuli × estimated mean QC of 60; probably an underestimate under these
conditions), which comfortably exceeds the largest VP measured
(~280,000), although some vesicles undoubtedly recycle more than
once. Second, increasing the stimulation time did not produce brighter
labeling (20 min; data not shown). Finally, a similar regimen labeled
all vesicles within frog motor nerve terminals (Henkel et al., 1996a
),
with no evidence of a reserve pool refractory to recycling. Thus, our
stimulation regimen probably labeled the entire releasable VP.
Terminal morphology, QC per unit area, and regional terminal
destaining properties
FM1-43 labeling revealed morphological differences between
terminals in EDL and soleus. A detailed quantification of these differences is the subject of another study in this laboratory. We
report here, however, that terminals in the two muscles have similar
areas. Thus, at least initially, the QC per unit area is higher in EDL
than soleus terminals: 0.27 ± 0.01 versus 0.22 ± 0.01 vesicles/µm2 (n = 10;
p < 0.03), consistent with previous findings in these muscles by Wood and Slater (1997)
. The basis for the differences in QC
per unit area is unknown. One possibility is that there are differences
in the number (Walrond and Reese, 1985
) and type (Ireland et al., 1999
)
of calcium channels in the active zones. Another is that the density of
active zones differs. We know of no data on either of these topics for
rat soleus and EDL terminals.
We found considerable variability in fluorescence intensities between
different regions of the same terminal, as reported previously for
terminals in mouse triangularis sterni muscles (Ribchester et al.,
1994
). However, as in mouse (Ribchester et al., 1994
) and frog (Betz
and Bewick, 1992
) terminals, all regions destained with a very similar
time course. This uniformity of destaining rates and vesicle density
(see Results) mean QC per unit area per impulse is similar across each
terminal. We saw no evidence of the "hot spots" of higher vesicular
release found in goldfish retinal bipolar cells (Lagnado et al., 1996
),
which are associated with dense bodies specialized for rapid
exocytosis. Thus, terminals displayed little regional variability apart
from differences in underlying background.
Although all terminals destained after stimulation, the rate of dye
loss was consistently greater in EDL terminals at each frequency and
activity pattern tested, irrespective of neuromuscular blocking agent.
Both the optical and electrophysiological data, therefore, indicate
real differences in the vesicle trafficking characteristics between
terminals in the two muscles.
Quantification of vesicle trafficking characteristics in EDL
and soleus
Correlation of dye loss with cumulative quantal release allowed us
to determine several vesicle trafficking parameters, including total
vesicle recycle time (Betz and Bewick, 1992
, 1993
), VP size, and the
fraction of the pool lost per stimulus. Calculation of the VP size used
an extension of the original technique, because we measured QC rather
than simply EPP amplitude. The derived VP size estimates agreed well
both with results from our vesicle depletion experiments and those from
previous studies (see Results).
The VP size estimates revealed significant differences between EDL and
soleus terminals. The ratio of vesicle density (VP/area) in soleus and
EDL terminals (651 ± 55 vs 481 ± 37 vesicles/µm2, respectively; n = 10; ratio, 1.4:1) is very similar to the ratio of their intensities per
unit area (0.14 ± 0.02 vs 0.11 ± 0.01 PIU/µm2, soleus and EDL, respectively;
n = 25 and 23, respectively; ratio, 1.3:1). Thus, the
larger VP in soleus terminals is primarily attributable to a
significantly (p < 0.02) higher vesicle
density, although what determines terminal vesicle density is not known.
The ratio between VP size and initial QC is therefore quite different
in EDL and soleus terminals (Table 1). The smaller VP and higher
initial QC in EDL is entirely consistent with the observations that EDL
terminals destained faster, exhibited faster and more extensive EPP
rundown, and failed earlier during prolonged high-frequency
stimulation. Thus, VP size is not proportional to the QC of a terminal.
So what determines VP size in a terminal? The demands of the in
vivo activity pattern are presumably an important determinant,
although not necessarily in the way some studies have predicted (Brodin
et al., 1997
). The short high-frequency bursts of activity in EDL
terminals probably require a high initial QC to ensure effective
transmission. The interspersed long quiescent periods (several tens of
minutes; Hennig and Lømo, 1985
) allow sufficient time for the
replenishment of the depleted VP. The VP in EDL, therefore, may simply
consist of sufficient vesicles for a few short bursts of activity. In
contrast, soleus terminals, active for extended periods (30% of
animal's activity time), has a low QC and large VP to ensure a
constant supply of vesicles.
The balance of VP size and QC seem crucial for maintaining transmitter
release, particularly because vesicle recycle time is similar in the
two muscles and is constant. Interestingly, the vesicle recycle times
reported here are similar to previous estimates from other methods and
neuronal preparations [frog motor nerve terminals, ~94 sec, Betz and
Bewick, 1993
; rat diaphragm, 1-2 min, Betz and Bewick, 1993
(derived
from Searl et al., 1991
); cultured rat hippocampal neurons, ~90 sec,
Ryan et al., 1993
]. This strong agreement between data from different
species, neurotransmitter systems, and techniques suggests that most
chemically transmitting neurons recycle vesicles at the same rate after
evoked exocytosis, a rate that cannot be modulated easily.
In conclusion, motor nerve terminals appear to be adapted to their
particular functional demands, maintaining vesicular output by adapting
VP size and QC but not vesicle recycle time. If this is a general
principle, it might place important constraints on the plasticity of
terminal function, e.g., in learning and memory. How the consistent
vesicle recycle times reported to date relate to recent data showing
activity-dependent modulation of endocytosis (von Gersdorff and
Matthews, 1994a
,b
; Wu and Betz, 1996
) and very rapid "kiss and run"
recycling in some terminals in culture (Klingauf et al., 1998
)
will be fascinating to discover.
 |
FOOTNOTES |
Received July 30, 1998; revised Jan. 19, 1999; accepted Jan. 22, 1999.
This work was supported by The Wellcome Trust, The Physiological
Society, and The Royal Society. We thank Dr. Sarah J. Wood and Dr. John
Pulham for helpful comments and discussion about this work.
Correspondence should be addressed to Dr. Guy S. Bewick, Department of
Biomedical Sciences, Institute of Medical Sciences, University of
Aberdeen, Aberdeen, AB25 2ZD, United Kingdom.
 |
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K. L. Rowley, C. B. Mantilla, L. G. Ermilov, and G. C. Sieck
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T. Virmani, D. Atasoy, and E. T. Kavalali
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P. Desaulniers, P.-A. Lavoie, and P. F. Gardiner
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B. Reid, V. N. Martinov, A. Nja, T. Lomo, and G. S. Bewick
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G. David and E. F Barrett
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C. E. Blanco, W.-Z. Zhan, Y.-H. Fang, and G. C. Sieck
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P. Desaulniers, P.-A. Lavoie, and P. F. Gardiner
Habitual exercise enhances neuromuscular transmission efficacy of rat soleus muscle in situ
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V. F. Rafuse, L. Polo-Parada, and L. T. Landmesser
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Q. Zhou, C. C H Petersen, and R. A Nicoll
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W. Van der Kloot, C. Colasante, R. Cameron, and J. Molgo
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K. Hirata, M. Nakagawa, F. J. Urbano, M. D. Rosato-Siri, J. E. Moreira, O. D. Uchitel, M. Sugimori, and R. Llinas
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