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Volume 16, Number 10,
Issue of May 15, 1996
pp. 3486-3499
Copyright ©1996 Society for Neuroscience
Altered Habituation of an Identified Escape Circuit in
Drosophila Memory Mutants
Jeff E. Engel and
Chun-Fang Wu
Department of Biological Sciences, University of Iowa, Iowa City,
Iowa 52242
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
Genetic approaches in Drosophila have advanced our
understanding of the molecular mechanisms of different forms of
learning, including habituation, but relevant neural components have
not been explored. We show that a well defined neural circuit that
underlies an escape response can be habituated, providing for the first
time excellent opportunities for studying physiological parameters of
learning in a functional circuit in the fly. Compared with other forms
of conditioning, relatively little is known of the physiological
mechanisms of habituation. The giant fiber pathway mediates a
jump-and-flight escape response to visual stimuli. The jump may also be
triggered electrically at multiple sites in the tethered fly. This
response shows parameters of habituation, including frequency-dependent
decline in responsiveness, spontaneous recovery, and dishabituation by
a novel stimulus, attributable to plasticity in the brain.
Mutations of rutabaga that diminish cAMP synthesis reduced
the rate of habituation, whereas dunce mutations that
increase cAMP levels led to a detectable but moderate increase in
habituation rates. Surprisingly, habituation was extremely rapid in
dunce rutabaga double mutants. This corresponds to the
extreme defects seen in double mutants in other learning tasks, and
demonstrates that defects of the rutabaga and
dunce products interact synergistically in ways that could
not have been predicted on the basis of simple counterbalancing
biochemical effects. Although habituation is localized to afferents to
the giant fiber, cAMP mutations also affected performance of thoracic
portions of the pathway on a millisecond time scale that did not
account for behavioral plasticity. More significantly, spontaneous
recovery and dishabituation were not as clearly affected as habituation
in mutants, indicating that these processes may not overlap entirely in
terms of cAMP-regulating mechanisms.
The analysis of habituation of the giant fiber response in available
learning and memory mutants could be a crucial step toward realizing
the promise of memory mutations to elucidate mechanisms in neural
circuits that underlie behavioral plasticity.
Key words:
Drosophila;
giant fiber;
habituation;
learning
and memory mutants;
cAMP;
rutabaga;
dunce
INTRODUCTION
In seeking to understand the neural substrates of
learning, the study of habituation holds special promise because of its
simplicity. Habituation is a reduction in the response to a stimulus
over time that is not attributable to sensory adaptation or motor
fatigue (Thompson and Spencer, 1966 ). There is increasing recognition
of the potential of genetic approaches for defining neural mechanisms
of learning, because consistent physiological and behavioral defects
can be induced as a consequence of defined biochemical perturbations.
In Drosophila melanogaster, more than half a dozen genes
have been identified, the mutations of which primarily affect learning
and memory (Dudai et al., 1976 ; Aceves-Pina et al., 1983 ; Tully and
Quinn, 1985 ; Boynton and Tully, 1992 ; Dura et al., 1993 ). Genetic
technology provides a means for examining how biochemical components of
membrane excitability, synaptic transmission, or regulation of neuronal
growth are involved in learning. However, although there has been great
progress in defining the effects of memory mutations at both
biochemical and behavioral levels, their physiological effects have
been studied only in reduced preparations and in cell culture (Delgado
et al., 1991 ; Zhong and Wu, 1991a ; Wang et al., 1994 ; Zhao and Wu,
1994 ). There has not been an accessible system established in
Drosophila to study the neural substrates that directly
mediate behavioral plasticity.
The giant fiber-mediated escape response in Drosophila has
been extensively described, and the development and physiology of the
underlying circuit are understood in some detail (Levine and Tracey,
1973 ; Levine, 1974 ; Tanouye and Wyman, 1980 ; Wyman et al., 1984 ;
Trimarchi and Schneiderman, 1993 , 1995a ,b). Appropriate visual or
mechanical stimulation evokes a stereotyped jump-and-flight response,
associated with activity in descending giant fiber neurons and a
consistent spike pattern in leg and flight muscles. Electrodes, placed
in the eyes to provide a defined path of stimulus current across the
head, can bypass sensory receptors to trigger the circuit at the giant
fiber neurons (short-latency response) (Tanouye and Wyman, 1980 ;
Gorczyca and Hall, 1984 ) or, with lower-intensity stimulation, at giant
fiber afferents (long-latency response) (Elkins and Ganetzky, 1990 ;
Trimarchi and Schneiderman, 1993 ). Habituation has been demonstrated in
escape responses of arthropods, including crayfish (Zucker, 1972 ;
Krasne and Teshiba, 1995 ), crickets (May and Hoy, 1991 ), and
odorant-induced jump in flies (Tully and Koss, 1992 ). The
jump-and-flight response to visual stimulation in Drosophila
is also plastic, showing characteristics of habituation in tethered
flies (see Results). The work described here shows that the
electrically induced long-latency response also attenuates in a manner
that satisfies criteria for habituation and that this occurs within
pathways afferent to the giant fiber.
The two best-described Drosophila ``memory genes'' are
rutabaga (rut) and dunce
(dnc), which encode an adenylyl cyclase (Aceves-Pina et al.,
1983 ; Levin et al., 1992 ) and a cAMP-specific phosphodiesterase (Dudai
et al., 1976 ; Chen et al., 1986 ), respectively. They affect modulation
of cAMP metabolism (Byers et al., 1981 ; Livingstone et al., 1984 ),
which has been implicated in synaptic plasticity in several systems
(Aplysia: Klein and Kandel, 1980 ; Schacher et al., 1993 ;
crayfish: Dixon and Atwood, 1989 ; Drosophila: Zhong and Wu,
1991a ; Zhong et al., 1992 ; mouse: Huang et al., 1994 ). However, the
roles of cAMP in habituation have not been established. Mutations of
rut and dnc lead to defects in both associative
and nonassociative conditioning paradigms (Dudai et al., 1976 ; Booker
and Quinn, 1981 ; Duerr and Quinn, 1982 ; Tempel et al., 1983 ; Tully and
Quinn, 1985 ; Corfas and Dudai, 1989 ; Rees and Spatz, 1989 ; Tully and
Koss, 1992 ). In the present study, we show that mutations of both loci
also affect habituation of the electrically stimulated giant fiber
response. Unlike other behaviors that show habituation in the fly, the
giant-fiber response is carried by an identified, accessible circuit.
This provides the first direct physiological demonstration of the
involvement of rut and dnc in plasticity of a
central circuit in which cellular mechanisms contributing to behavioral
plasticity can be readily analyzed.
Some of these results have appeared in abstract form (Engel and Wu,
1994a ).
MATERIALS AND METHODS
Mutants. Alleles of rut and dnc
contained in rut1, y
rut2, y dnc2 ec
f, y dncM11 cv v f, y
dncM14 cv v f, and y
dncM14 cv v rut1 stocks
have been described previously (Dudai et al., 1976 ; Mohler, 1977 ;
Aceves-Pina et al., 1983 ; Livingstone et al., 1984 ; Zhong et al., 1992 ;
Zhong and Wu, 1993a ). Control strains used were Canton-S or, in a few
trials, cn bw, w, In(1)FM7,y sc w B,
or C(1)RM,y f in a Canton-S background (Lindsley and Zimm,
1992 ), or Oregon-R. Results for mutant alleles within each locus
(rut or dnc) have been pooled in figures and
tables because they did not differ significantly.
Preparation and recording. Preparation of flies,
stimulation, recording, and analysis of muscle responses were performed
as described previously (Engel and Wu, 1992 , 1994b ) with some
modifications. Legs were waxed together (except for experiments in Fig.
3) to inhibit flight and prevent sweeping of a leg across the wings,
which could dishabituate the long-latency response. The experimental
Faraday cage was covered with black plastic to reduce ambient light
because strong illumination was found to inhibit the long-latency
response. Stimulation (0.1 msec pulse, Grass S8, Quincy MA) was passed
between uninsulated tungsten electrodes inserted in the eyes (anode
normally in left eye). Signals were recorded from the right
tergotrochanteral (TTM) jump muscle and left dorsal longitudinal a
(DLMa) flight muscle (Miller, 1950 ), which are innervated by the same
side of the giant fiber pathway (Levine, 1974 ; Wyman et al., 1984 )
(Fig. 1A). An arrangement of pulse generators
feeding into a pen recorder provided a convenient means to distinguish
spike latency classes in trial records. A negative pulse, triggered by
the stimulator synch output, and a positive pulse, triggered by the DLM
muscle spike, went to the same channel of the pen recorder (Gould-Brush
220, Cleveland, OH). The delay of the stimulator-triggered pulse could
be adjusted so that it would be canceled on the pen record by DLM
responses of the desired latency class. Precise latency values were
measured as described previously (Engel and Wu, 1992 , 1994b ).
Fig. 3.
Habituation-like attenuation of the visually
induced response. A, Giant-fiber-triggered leg and flight
muscle responses in a tethered fly. Short ticks show timing
of 20 msec darkenings of LED illumination (``blackouts''), and
long ticks indicate giant fiber responses detected in
muscles. Response probability diminished but was dishabituated by an
air puff (arrowhead); a second air puff had less effect.
Bars indicate brief episodes of tethered flight in response
to air puffs. B, Jumps corresponded with muscle responses in
a second fly with legs unrestrained. Jumps (open circles)
were normally readily detected by movement of a paper square glued to
mesothoracic legs; one muscle response was not associated with a clear
jump (bold arrow). Three filled circles indicate
stimuli for which muscle responses could not be determined, because of
movement after the air puff; all other muscle responses or failures
were unambiguous.
[View Larger Version of this Image (13K GIF file)]
Fig. 1.
Illustration of the giant fiber response
stimulated at different sites. A, Schematic representation
of the giant fiber pathway, showing one side of the bilaterally
symmetrical circuit. Stimulation of the cervical giant fiber triggers
responses in tergotrochanteral (TTM) ``jump'' and dorsal
longitudinal (DLM) ``flight'' muscles. Short- and
long-latency responses result from electrical stimulation of the
pathway at different points, as indicated by brackets.
B, Muscle spikes recorded in visual response (V)
evoked by lights-off, and long-(L),
intermediate-(M), and short-latency (S) responses
in the same fly. Note similar TTM/DLM interlatency for each response.
Spike shapes differ in visual response because of some deterioration of
the impaled muscles. C, The three distinct classes of
response latency are triggered by different stimulus voltages. Long-
and short-latency responses were seen in nearly all flies;
intermediate-latency responses were seen less consistently (see text).
Data in filled symbols from the same fly as B.
Open symbols are mean ± SEM of the shortest latency of each
class measured in all control flies (see Table 1).
[View Larger Version of this Image (22K GIF file)]
Testing protocols. To minimize habituation from
handling and threshold tests before a trial, flies were rested after
mounting for at least 1 hr in a humid chamber before setting up for
recording. After assessing response thresholds using interstimulus
intervals (ISI) of 30 sec, flies were rested for 5 min before
habituation testing. Three classes of response were identified, with
progressively greater thresholds: long-latency, intermediate-latency,
and short-latency. Although absolute latency values varied with
temperature (Fig. 2) (Nelson and Wyman, 1990 ), these
response classes were easily distinguished in individual flies (Fig.
1B,C). For long-latency response trials, stimulus intensity
was set near the top of the long-latency stimulus range. The DLM muscle
spike was used to indicate success or failure of the long-latency
response. To avoid the possibility of using damaged flies, those few
flies in which at least two consecutive responses were not obtained
were excluded from the analysis.
Fig. 2.
Response latency varied with temperature. Points
indicate shortest muscle-response latencies of each class measured in
152 control flies; slopes show least-squares regression on data between
20 and 25.5°C. Temperature effects were significant
(p < 0.001 for each muscle/latency classification;
t test comparing slopes with zero). For both DLM (open
symbols) and TTM (filled symbols), the effect of
temperature was more pronounced in long-latency (L) than
short-latency (S) responses, consistent with the presence of
additional afferent neurons in the long-latency path
[p < 0.001; test for homogeneity of the four slopes
(Sokal and Rohlf, 1981 )].
[View Larger Version of this Image (21K GIF file)]
Two types of dishabituating stimulation were used. Air puffs were
provided by gently squeezing a rubber bulb connected by tubing to a
pipette nozzle mounted 2 cm to the anterior left of the fly. Light
flashes of 200 msec were produced by a green (565 nm) light-emitting
diode (LED) (HLMP 3950, Chicago Miniature Lamp, Buffalo Grove, IL)
positioned 2 cm from the left eye driven by 40 mA of current (150 mcd/20 mA) from a regulated power supply gated by a relay switch.
To trigger visually evoked responses in white-eyed (Wyman et al., 1984 )
(w or cn bw) flies, constant illumination
provided by the same LED was interrupted by 20 msec openings of the
relay switch. To allow monitoring of jumps in visual trials, tethered
flies held a small square of tape or had a square of paper glued to
mesothoracic legs.
To measure long-latency response refractory periods, twin-pulse stimuli
were given every 15 sec or longer, with ISI adjusted from 100 msec to
find the shortest ISI that gave a twin response in at least one of
three attempts. Short-latency response refractory periods and following
frequency with 50% failures (FF50) were
determined as described previously (Gorczyca and Hall, 1984 ; Engel and
Wu, 1992 ). Further details of testing protocols have been described
elsewhere (Engel, 1995 ).
RESULTS
Electrical response initiated at different sites
Stimulation by electrodes placed in the eyes (Fig. 1A)
gave rise to three classes of response latency (Table 1)
by triggering the giant fiber pathway at distinct sites associated with
different thresholds. All three classes showed the typical muscle spike
pattern of the giant fiber response, which is also evoked by visual
stimulation (Fig. 1B,C). The short-latency response arises
from direct activation of the giant fibers by a strong stimulus,
whereas late responses are attributed to recruitment of afferent
pathways (Levine, 1974 ; Tanouye and Wyman, 1980 ; Elkins and Ganetzky,
1990 ; Trimarchi and Schneiderman, 1993 ). Consistent with this, we found
that the long-latency response has greater temperature dependence than
the short-latency response for both flight and jump muscles (DLM and
TTM in Fig. 2). Previous researchers, using a variety of electrode
placements, have tended to refer to any late response as
``long-latency,'' without distinguishing between classes. The
long-latency response as used here (DLM latency 3.0 msec) is
commonly obtained when stimulating electrodes are placed in the eyes,
as in these experiments (Levine, 1974 ; Trimarchi and Schneiderman,
1993 ). A distinct intermediate-latency response (Fig. 1B,C)
was seen in 28% (68 of 247) of control flies that showed long- and
short-latency responses and, in those flies, the intermediate-latency
response was less reliable than long- or short-latency responses
(Engel, 1995 ). All three classes of response were also seen in
rut, dnc, and dnc rut mutants, and
latencies did not differ significantly from controls in any mutant
(Table 1). The intermediate-latency response was not well suited as a
model of habituation because it was not seen in the majority of flies
(Table 1). Of the two reliably induced response classes, triggered at
different points in the giant fiber pathway, the long-latency response,
but not the short-latency response, attenuated with characteristics of
habituation (shown below).
Table 1.
Mean latencies of giant fiber response classes in control
and cAMP pathway mutants
| Genotype |
Long-latency
|
Intermediate-latency
|
Short-latency
|
DLM
|
TTM
|
DLM
|
TTM
|
DLM
|
TTM
|
| Mean |
N |
Mean |
N |
Mean |
N |
Mean |
N |
Mean |
N |
Mean |
N
|
|
| Controls |
3.82 |
247 |
3.37 |
217 |
2.16 |
68
/247 |
1.70 |
64 /217 |
1.40 |
247 |
0.94 |
217
|
|
(±0.024) |
(±0.024) |
(±0.038) |
(±0.038) |
(±0.013) |
(±0.014)
|
| rut |
3.77 |
83 |
3.36 |
76 |
2.11 |
39
/83 |
1.66 |
36 /76 |
1.40 |
83 |
0.97 |
76
|
|
(±0.033) |
(±0.030) |
(±0.042) |
(±0.031) |
(±0.020) |
(±0.016)
|
| dnc |
3.87 |
71 |
3.43 |
65 |
2.23 |
24
/71 |
1.68 |
22 /65 |
1.39 |
71 |
0.90 |
65
|
|
(±0.043) |
(±0.039) |
(±0.066) |
(±0.060) |
(±0.027) |
(±0.025)
|
| dnc rut |
3.84 |
48 |
3.41 |
44 |
2.21 |
15
/48 |
1.72 |
15 /44 |
1.33 |
48 |
0.89 |
44
|
|
(±0.053) |
(±0.047) |
(±0.083) |
(±0.071) |
(±0.030)* |
(±0.027) |
|
|
Means ± SEM, in msec, of shortest latency of each class measured
for each fly. Mutants did not differ from controls in any category
(two-tailed t tests). Only trials in which both short- and
long-latency responses were measured are included; intermediate-latency
responses were seen in a minority of trials, as indicated by the ratios
of occurrence over total observations (see text). In some cases, only
DLM responses were measured. Mutant alleles include
rut1, rut2; dnc2,
dncM11, dncM14; dncM14
rut1.
|
|
Habituation of the long-latency response
The visually induced giant fiber response appears to habituate
when stimulated repeatedly in tethered flies and shows dishabituation
by a novel stimulus, such as an air puff (Fig.
3A). This plasticity of the visually induced
response in jump and flight muscles correlates to observable leg
movements (Fig. 3B). These factors led us to examine the
electrically induced giant fiber response for characteristics of
habituation.
The probability of the long-latency response diminishes earlier and
more abruptly at higher stimulus frequencies. The time course of
attenuation is apparent in the response-probability plots in Figure
4A. To provide a consistent level of
habituation for recovery tests, trials were ended after five
consecutive failures. Because this led to a range of trial lengths, to
combine results for response-probability plots in Figure
4A, each preparation was taken to have failed for every
stimulus after five consecutive failures. Plotting the mean number of
stimuli to attain criteria of one to five consecutive failures (Fig.
4B) shows that attenuation is more abrupt at higher
frequencies (note log scale). Median numbers of stimuli to attain five
consecutive failures (Table 2) allow comparisons with
relatively little influence from outlying values and also correspond
closely to points at which response probabilities fell to 50% (Fig.
4A).
Fig. 4.
Kinetics of habituation of the long-latency
response. A, Frequency-dependent decrement of response
probability. Three-point running averages of pooled responses (numbers
of flies are indicated in B). Trials of individual flies
were terminated after attaining criterion (five consecutive failures)
and were considered to fail thereafter in this set of plots; this
accounts for abrupt changes of slope. Symbols are for identification of
curves. B, Numbers of stimuli to attain criteria of one to
five consecutive failures. Mean ± SEM of log-transformed values for
the numbers of flies indicated; a value of 1000 was used if a fly had
not reached a criterion by that point. Two-tailed t test
comparisons of five-failure values versus controls: *p < 0.05; **p < 0.01; ***p < 0.001. Comparing the
difference between one and five consecutive failures shows that failure
was not only earlier but also more abrupt at 10 Hz than at lower
frequencies (note vertical log scale). From these plots, it
is clear that habituation is more rapid at higher stimulus frequencies
and that rut mutants are resistant to habituation, whereas
dnc and dnc rut mutants are abnormally
susceptible.
[View Larger Version of this Image (32K GIF file)]
Table 2.
Quantification of habituation, recovery, and dishabituation
in controls and cAMP pathway mutants
| Genotype |
Habituation
|
Recovery
|
Dishabituation
|
Median number of stimuli to five consecutive failures
(N)
|
Median number of stimuli to five failures
at 5 Hz
|
By light flash
|
By air puff
|
| 2
Hz |
5 Hz |
10 Hz |
1st/120 sec (N) |
1st/30 sec/5 sec
(N) |
Rising |
Increase (mean ± SD) |
Rising |
Increase
(mean ± SD) |
|
| Controls |
42 (26) |
85 (90) |
39
(13) |
39 /34 (15) |
85
/47/29 (15) |
3 of 4 |
7.00
± 5.00 |
7 of 16 |
8.29 ± 7.48
|
| rut |
404 (12) |
473 (36) |
64
(18) |
473/66 (8) |
464 /77/29 (15) |
6 of
9 |
12.67 ± 7.17 |
7 of 17 |
12.43 ± 6.90
|
| dnc |
37 (11) |
30 (32) |
19 (8) |
43
/47 (10) |
19 /19/11 (16) |
4 of 5 |
8.75 ± 5.19 |
3 of
14 |
3.00 ± 1.00 |
| dnc rut |
19 (6) |
23
(21) |
9 (7) |
21/28 (5) |
28
/26/14 (15) |
5 of 6 |
4.00 ± 2.45 |
3 of 14 |
5.00
± 4.58 |
|
|
Habituation: medians of numbers of stimuli to attain habituation
criterion of five consecutive failures for all trials shown in Figure
4. Recovery: median values for recovery trials shown in Figure 5;
``1st'' means initial conditioning bout, and ``120 sec,'' ``30
sec,'' and ``5 sec'' refer to recovery intervals. Dishabituation:
``rising'' gives number of flies from Figure 7 in which the
first flash or puff led to increased responsiveness;
``increase'' is the mean increase in number of responses (25 stimuli
after vs before the flash or puff) in the first test in ``rising''
trials.
|
|
The habituation process is a gradual decrease in response probability,
not an abrupt loss of response. Electrical response thresholds tested
after habituation trials were generally close to pretrial values (data
not shown). Changing the stimulus voltage up or down could lead to
increased response probabilities in some habituated flies, but this was
not seen consistently.
Properties of habituation in cAMP pathway mutants were similar
to controls, but kinetics of habituation and asymptotic response
probabilities differed (Fig. 4). In rut mutant flies,
habituation occurred more slowly. Habituation was more rapid in
dnc, and still more rapid in dnc rut double
mutants. These differences were most evident at 5 Hz stimulation,
perhaps in part because of the larger sample size at 5 Hz (Fig. 4).
After the first instance of two consecutive failures, the length of
strings of failures tended to increase more abruptly in all mutants
than in controls (note flatter stimuli-to-criterion plots between two-
and five-failure criteria in Fig. 4B). These results
indicate that cAMP pathways mediated by the products of rut
and dnc are important in habituation of this response. The
nonadditivity of defects in single- and double-mutant flies implies
that developmental and regulatory factors must be considered in the
specific cellular functions of these enzymes in the long-latency
pathway (see Discussion).
Spontaneous recovery and dishabituation
Spontaneous recovery is an indication that attenuation is not
attributable to deterioration of the preparation, and its time course
may provide information about the process of habituation. Figure
5A shows response-probability plots of
trials in which animals were stimulated at 5 Hz, habituated to five
consecutive failures, and allowed to recover for 120 sec before
retesting. The 120 sec recovery period was sufficient to restore
initial response levels in all genotypes. Shorter recovery periods
revealed incomplete recovery and faster rehabituation in certain
genotypes. Flies were conditioned once, recovered for 30 sec,
conditioned again, recovered for 5 sec, and conditioned a third time
(Fig. 5B). After 30 sec, response probabilities recovered
fully, but subsequent habituation was more rapid; after 5 sec, initial
response probabilities were diminished in dnc and dnc
rut mutants. Median numbers of stimuli to attain five consecutive
failures are given in Table 2.
Fig. 5.
Spontaneous recovery from habituation of the
long-latency response. A, Overlay comparison of 120 sec
recovery after 5 Hz stimulation. Flies were habituated to five-failure
criterion (solid line), then recovered for 120 sec before
being stimulated again (dashed lines). Compared with the
conditioning first bout, rut mutants habituated more rapidly
after 120 sec recovery. B, Flies were habituated
(heavy line), allowed to recover for 30 sec and habituated
again (light line), then allowed to recover for 5 sec and
habituated a third time. dnc and dnc rut did not
recover to initial response levels in 5 sec. Sample sizes in
parentheses. Three-point running average as in Figure
4.
[View Larger Version of this Image (24K GIF file)]
It is worth noting that rut appeared to rehabituate more
quickly even after 120 sec of recovery (Fig. 5A, Table 2)
and that dnc and dnc rut appeared to require >5
sec to recover fully (Fig. 5B). The prolonged stimulation
required to bring rut flies to habituation criterion (Table
2) may lead to more stringent conditioning than experienced by other
genotypes. On the other hand, dnc and dnc rut
needed more time than controls to recover, although they habituated
more rapidly. Nevertheless, substantial recovery in 5 sec did occur in
dnc and dnc rut mutants, indicating that their
rapid habituation is probably not attributable to generalized
weakness.
One characteristic of habituation identified by Thompson and Spencer
(1966) is ``habituation beyond zero,'' in which recovery is reduced
when stimulation extends beyond the point at which responses are lost.
An example is shown in Figure 6. In some extended
trials, initial habituation was interrupted by a brief period of
increased response probability within the trend of long-term decline
(Fig. 6) (Engel, 1995 ). This could indicate coincident processes of
habituation and sensitization (Groves and Thompson, 1970 ), which must
be studied further. However, it can be noted here that this pattern of
transitory spontaneous recovery during extended trials was seen in
mutants as well as in controls.
Fig. 6.
Habituation beyond zero. Repeated bouts of
stimulation (10 Hz) were given with 60 sec recovery intervals.
Dots indicate stimuli, ticks indicate
long-latency responses, arrowheads show fifth consecutive
failure, and a bracket indicates a continuous bout carried
to multiple lines in the plot. When habituation was prolonged well
beyond the cessation of responses (bouts 5-7), subsequent recovery was
reduced. Note also the transient increase in responsiveness after
habituation in bouts 1, 5, and 6 (see text), and recovery produced by
brief stimulus pauses near the end of bout 5.
[View Larger Version of this Image (39K GIF file)]
In addition to spontaneous recovery, another important parameter of
habituation is dishabituation, or recovery induced by a novel stimulus.
Dishabituation helps to distinguish habituation from sensory adaptation
or motor fatigue. We identified several types of stimuli that could
induce recovery of the long-latency response in a habituated
preparation. These included stroking of the wing with an eyelash probe
or with the fly's own leg in grooming in trial experiments (normally
the legs were waxed together; see Materials and Methods); an air puff,
especially when this triggered a burst of wing buzzing; and various
sorts of visual stimulation.
Two types of stimulus, air puffs and light flashes, were standardized
and used to examine dishabituation of the long-latency response to
electrical stimulation. As with the visually induced response (Fig. 3),
the electrically induced response can be dishabituated in both mutants
and controls (Fig. 7A). The response pattern
during habituation normally shows considerable variability from trial
to trial, as is apparent in other figures (Figs. 4B, 6, 8);
each dishabituating stimulus led to recovery in many cases but reduced
responsiveness in others. Nevertheless, dishabituation could be
demonstrated in two operationally distinct ways (Fig.
7B,C).
Fig. 7.
Dishabituation of the long-latency response.
A, Examples of dishabituation by a 200 msec flash from LED.
Ticks indicate responses to the initial 15 stimuli and to
the 30 before and 100 after the flash. B, Comparison of
response probability for 25 stimuli before and after an air puff.
Points above the dashed line reflect increased
response probabilities after the puff. When a fly was tested more than
once, the greatest increase obtained is shown. Because the response to
a puff (or light flash, as seen in A) was often slightly
delayed, post-puff counts began with the sixth stimulus after the puff.
Dishabituation was less common in dnc and dnc rut
mutants. Puffs were delivered a few seconds after attainment of five
consecutive failures at 5 Hz; data points with high ``pre-puff''
values resulted when response probabilities increased spontaneously
after five failures (compare Fig. 6, bouts 1, 5, 6). Overlapping data
points indicate the same values. Some flies, indicated here by a single
symbol (dot within diamond), showed no responses
to 25 stimuli before or after puffs: controls, 6 of 16; rut,
1 of 14; dnc, 7 of 16; dnc rut, 8 of 15. C, Comparison of response probability for 25 stimuli before
and after a flash. As in B, postflash counts began with the
sixth stimulus after the flash. Dishabituation was seen in controls and
all mutant genotypes. Stimulus frequencies ranged from 1 to 10 Hz,
selected to give a steady preflash response probability between 0.2 and
0.8 for each fly, although in some cases, response probability then
dropped below 0.2 before the flash was given.
[View Larger Version of this Image (34K GIF file)]
Fig. 8.
Habituation of dishabituation. Successive air
puffs (indicated by the vertical dashed line) were delivered
during a 5 Hz stimulus bout. Dishabituation of the long-latency
electrical response diminished with repeated puffs. Dots
indicate electrical stimuli; ticks indicate responses. Plots
show multiple dishabituation episodes from a single extended stimulus
bout. A, Control fly, showing every second puff.
B, rut mutant.
[View Larger Version of this Image (41K GIF file)]
Because of better experimental control of the dishabituating stimulus,
light flash trials were made over a range of pretest response
probabilities at different frequencies of electrical stimulation.
Dishabituation was demonstrated throughout the range of responsiveness
(Fig. 7C). In contrast, air puffs were given during 5 Hz
trials, and initial puffs were given within a few seconds after
attaining the five-failure habituation criterion. As in the case of
using light flashes, the degree of dishabituation after air puffs also
varied. Although the trend among all genotypes was increased
responsiveness after puffs (Fig. 7B), responsiveness
sometimes decreased, and some flies responded neither before nor after
the puff (Fig. 7B, Table 2). However, the paradigm using air
puffs allowed more distinction between genotypes, in general being most
effective for rut and least effective for dnc and
dnc rut (Fig. 7B, Table 2). In conclusion,
stimuli of two distinct sensory modalities led to dishabituation,
dishabituation could be observed in all mutant genotypes, and
differences between genotypes could be seen in the air-puff
paradigm.
Habituation of the dishabituation response is another common parameter
of habituating systems (Thompson and Spencer, 1966 ). As illustrated in
Figure 8, because of the intrinsic fluctuation of
responses as shown above, a large number of sequential air puffs is
required to demonstrate the trend of dishabituation becoming less
effective over time. The effect was seen in mutant and control flies
(Fig. 8) and in light flash trials as well.
A universal consequence of repetitive stimulation was a rapid increase
in latency of up to 2 msec (Fig. 9). This latency shift
occurred early in the giant fiber pathway because different thoracic
branches of the pathway shifted together (Fig. 9) (Engel, 1995 ), and it
could represent a systematic artifact (e.g., stimulus electrode
polarization). The shift was much more rapid than habituation (Fig. 9)
and did not differ between genotypes (Table 3),
suggesting that the latency shift and habituation are not directly
related. Therefore, the similarity of latencies before and after
light-induced dishabituation (Fig. 9) indicates that dishabituation
involves recovery of the original long-latency pathway rather than
recruitment of a parallel route.
Fig. 9.
Coincident failures and latency shift of jump and
flight muscles in the long-latency response. The plot shows an increase
in latency of the long-latency response in contralateral DLM and TTM
muscles, with failures indicated by open bars at the
bottom of the plot. Stimulus frequency was 10 Hz; symbols
for muscle fibers are given in figure. Note concomitant failures of DLM
and TTM. Furthermore, the latency shift is preserved after
dishabituation by a 1 sec LED flash, indicating that the same pathway
carries the recovered response. Latency shifts (Table 3) and coupled
muscle failures were seen in all genotypes; this fly was
dncM11.
[View Larger Version of this Image (22K GIF file)]
Table 3.
Refractory periods and latency shift of the giant fiber
response in controls and cAMP pathway mutants
| Genotype |
LL latency shift (msec)
|
LL
refractory period (msec)
|
SL refractory period (msec)
|
DLM
|
(DLM and
TTM)
|
DLM
|
TTM
|
| Mean |
N |
g-Mean |
N |
g-Mean |
N |
g-Mean |
N
|
|
| Controls |
0.83 |
9 |
86 |
37 |
5.2§ |
41 |
3.3§ |
48
|
|
(±0.033) |
(72-103) |
(5.0-5.5) |
(3.2-3.3)
|
| rut |
0.77 |
13 |
27 |
30 |
4.9 |
15 |
3.6 |
12
|
|
(±0.055) |
(25-28)*** |
(4.4-5.3) |
(3.5-3.8)
|
| dnc |
0.77 |
5 |
42 |
22 |
5.3 |
15 |
3.7 |
15
|
|
(±0.083) |
(36-49)** |
(5.0-5.6) |
(3.5-3.9)*
|
| dnc
rut |
0.88 |
5 |
43 |
16 |
4.3 |
9 |
3.3 |
8
|
|
(±0.074) |
(38-47)* |
(3.7-5.1) |
(3.1-3.6) |
|
|
LL, Long-latency; SL, short-latency. Latency shift: arithmetic
means (±SEM) of shifts averaged between the 21st and 64th DLM
responses (after shift had reached maximum, compare Fig. 9) in 5 Hz
trials. LL refractory period, SL refractory period: geometric means
(log-transformed to improve normality) (SEM range in parentheses). ND,
Not determined. *p < 0.05, **p < 0.01, ***p < 0.001; two-tailed t test of mutant versus
controls.
|
LL refractory periods are identical for DLM and TTM.
|
Short-latency DLM (not TTM) refractory periods may be
underestimates because of interference by double-spiked muscle action
potentials (Engel and Wu, 1992 ).
|
§Because previously published Canton-S short-latency
response results (Engel and Wu, 1992 ) did not differ significantly from
seven new control trials (two-tailed t tests, 95%
criterion), these data are combined here.
|
|
Attenuation of the long-latency response satisfies several of Thompson
and Spencer's (1966) criteria for habituation. Attenuation is more
rapid at higher stimulus frequencies (Fig. 4), and there is spontaneous
recovery (Fig. 5). Habituation is more rapid after recovery (Fig.
5B), and recovery is diminished after extended habituation
(``beyond zero,'' Fig. 6). Novel stimuli can lead to dishabituation
(Fig. 7), and this effect also habituates (Fig. 8).
Delimiting the site of habituation
Several lines of inference place the site of habituation in the
brain rather than in the thoracic portions of the giant fiber pathway.
For most trials, recordings were made from DLM and TTM contralateral
muscles, which are innervated by the same giant fiber (Fig.
1A), and DLM failures were always accompanied by TTM
failures (Fig. 9) (Engel, 1995 ). This pattern of synchronous DLM and
TTM failures, which indicates that habituation of the giant fiber
pathway occurs before its bifurcation in the thorax (Fig.
1A), was seen in mutants as well as in controls. Moreover,
contralateral DLM flight muscles failed in synchrony (tested in 6 flies) (Engel, 1995 ), confirming that habituation occurs ahead of the
point in the thorax at which the contralateral giant fiber pathways are
coupled (King and Wyman, 1980 ; Benshalom and Dagan, 1985 ).
The most direct evidence that habituation occurs in the brain comes
from the short-latency response, which results from direct activation
of the giant fibers in the head. After the long-latency response had
been habituated, an increase in stimulus voltage invariably gave
short-latency responses, and these could be driven for long periods at
high frequencies before failures occurred (Fig. 10).
These patterns of short-latency versus long-latency response
attenuation kinetics and synchronous muscle failures were seen in
mutant as well as in control flies, showing that gross connectivity in
the circuit is not likely altered in these mutants.
Fig. 10.
Short-latency response failures at high
frequency. The short-latency response is less labile than the
long-latency response and can be driven for hundreds of stimuli at high
frequencies. Plot shows 10-stimulus excerpts from three-point running
averages of pooled DLM responses to 20 Hz stimulation (sample sizes in
parentheses). Control and dnc lines are slightly
offset in first three excerpts. Note that although these failures occur
at a later stage in the giant fiber pathway, the ranking of resistance
to failures resembles that for the long-latency response (Fig.
4).
[View Larger Version of this Image (54K GIF file)]
Habituation of this circuit may be important in modulating the
sensitivity of the escape response, and it occurs in the head, where
sensory inputs converge (Strausfeld and Bacon, 1983 ; Milde and
Strausfeld, 1990 ), rather than in the less labile thoracic portion of
the pathway. Visual interneurons and antennal primary mechanoreceptors
are electrically coupled to giant fibers in dipterans (Strausfeld and
Bassemir, 1983 ; Bacon and Strausfeld, 1986 ). Although placing
stimulating electrodes in eyes produces reliable long-latency
responses, electrical stimulation probably bypasses retinular cells and
is directed by the high-impedance retinal basal membrane along a path
to giant fiber afferent pathways. Because the long-latency response is
~2.5 msec later than the short-latency response (Table 1), at least
one chemical synapse must be interposed. Therefore, habituation of the
electrically induced long-latency response likely occurs at
interneurons that may participate in habituation of visually induced
escape as well (Fig. 3). However, the visually induced response takes
at least 15 msec longer than the long-latency response (Fig. 1),
indicating that additional connections are interposed. Furthermore, the
long-latency response resists failure at stimulus frequencies an order
of magnitude greater (compare Figs. 3 and 4), and spontaneous recovery
of the visually induced response is slower (data not shown). Thus,
other components of the sensory pathway probably also contribute to
habituation of the visually induced response.
Following frequencies and refractory periods of short- and
long-latency responses
Although rut and dnc affect habituation of
the long-latency response in the brain, we wondered whether such cAMP
mutations would also alter plasticity in the thoracic stage of the
pathway, which can be activated directly using greater stimulus
voltages to produce the short-latency response. In fact, even though
attenuation of the short-latency response occurs after more stimuli and
at higher frequencies, it is affected by these mutations in directions
that parallel defects in the long-latency response, occurring more
slowly in rut and more rapidly in dnc and
dnc rut mutants (Fig. 10). This implies that these mutations
can have a consistent effect on sustained responsiveness in different
synapses with very different response properties.
In contrast to habituation paradigms using sustained stimulus trains,
twin-pulse refractory period protocols measure the limit of the ability
to respond to repeated stimulation at short intervals. Refractory
periods of the long-latency response in rut mutants were
much shorter than in controls, but refractory periods were also
shortened in dnc and dnc rut mutants (Table 3),
in contrast to their effects on habituation rates (Fig. 4, Table 2).
Apparently, the twin-pulse refractory period is limited by different
processes than govern attenuation of the response during sustained
repetitive stimulation.
Refractory periods of the short-latency response did not differ between
mutants and controls in the same way as the long-latency response, nor
in parallel to attenuation of the short-latency response with
repetitive stimulation. A significant difference was seen only in the
short-latency TTM response of dnc mutants, in which the
refractory period was prolonged (Table 3). Thus, cAMP cascade mutations
alter certain long-latency and short-latency response properties that
are not immediately related to habituation.
DISCUSSION
Plasticity of the electrically induced long-latency giant fiber
response fulfills criteria for habituation (Thompson and Spencer, 1966 )
in a circuit with a well established link to an escape response
(Levine, 1974 ; Trimarchi and Schneiderman, 1995a ,b,c). Although the
habituation occurs in the brain, other segments of the circuit show
different forms of activity-dependent plasticity. This system has great
potential to provide information about the physiological bases of
behavioral plasticity in a genetic context, beginning with the role of
cAMP-dependent pathways studied here.
cAMP cascade mutations and habituation
Although cAMP has been implicated in synaptic plasticity and
learning (Dixon and Atwood, 1989 ; Zhong and Wu, 1991a ; Klein, 1993 ;
Huang et al., 1994 ; Yin et al., 1994 ), its role in habituation has been
largely unexplored. Drosophila memory mutants have provided
good evidence for cAMP involvement in habituation, but there is no
consistent pattern of mutant effects on habituation in different
behavioral paradigms. Habituation of odor-induced jumps is slowed in
rut mutants and not clearly altered in dnc
mutants (Tully and Koss, 1992 ), paralleling effects on the giant fiber
jump response (Fig. 4), even though these are thought to be mediated by
different circuits (Trimarchi and Schneiderman, 1995a ,c). Habituation
of a proboscis extension reflex may be reduced in both rut
and dnc mutants (Duerr and Quinn, 1982 ), although those
results could also indicate defective retention of conditioning in the
mutants. However, landing (Rees and Spatz, 1989 ) habituates more
rapidly in both rut and dnc mutants. A thoracic
grooming reflex in decapitated flies habituates and dishabituates
normally but recovers more rapidly in a rut mutant (Corfas
and Dudai, 1989 ). This lack of consistency is not surprising because
habituation may depend on specific arrangements of connectivity in
different circuits. This underscores the importance of studying
physiological effects of memory mutations in circuits directly related
to behavior.
Our results prompt an expanded notion of the scope of rut
and dnc influence. Both genes' products are expressed
throughout neuropil but concentrated in mushroom bodies (Nighorn et
al., 1991 ; Han et al., 1992 ), brain structures implicated in olfactory
associative conditioning and defective in dnc and
rut mutants (Heisenberg et al., 1985 ; Balling et al., 1987 ;
de Belle and Heisenberg, 1994 ). The mushroom bodies are not part of the
giant fiber pathway, although their projections may intersect the
circuit (Strausfeld and Bacon, 1983 ). It is known that rut
and dnc mutations have physiological effects in peripheral
neurons and muscles (Corfas and Dudai, 1990a ; Zhong and Wu, 1991a ,
1993a ; Zhong et al., 1992 ), even though their expression in the
mushroom bodies is more readily demonstrated immunohistochemically
(Nighorn et al., 1991 ; Han et al., 1992 ). Our results from the giant
fiber pathway suggest that these genes may play roles in synaptic
plasticity throughout the CNS.
Effects of these mutations on long-latency habituation could not have
been simply extrapolated from their known biochemistry. The products of
rut and dnc are antagonistic, and their mutations
have opposing effects on overall cAMP levels (Byers, 1979 ; Byers et
al., 1981 ; Livingstone et al., 1984 ). Yet, although habituation rates
were markedly slowed in rut single mutants and only
moderately increased in dnc, in the dnc rut
double mutant habituation was very rapid. Normal response latencies and
strong refractory periods and recovery from habituation in the double
mutant indicates that this extreme defect is not attributable to
general disruptions of the giant fiber pathway.
Effects of rut and dnc are also nonadditive in
paradigms such as olfactory associative conditioning (Tully and Quinn,
1985 ), where defects in dnc rut are worse than either
single-mutant. Explanations for the complexity of rut and
dnc mutant phenotypes might include enzyme
compartmentalization and colocalization with downstream targets,
kinetics of cAMP regulation, compensatory interactions with other
second messengers, or details of neural connectivity, which will
require further investigation.
Finally, it is worth noting that the mutations studied here did not
affect recovery or dishabituation (Fig. 5, 7) as clearly as they did
habituation (Fig. 4). This implies that these processes are not
entirely overlapping with respect to cAMP pathways.
cAMP and the physiology of synaptic plasticity
Short-term habituation has been related to homosynaptic depression
in spinal interneurons in frogs (Thompson and Glanzman, 1976 ) and
primary mechanosensory neurons of crayfish (Zucker, 1972 ) and
Aplysia (Castellucci et al., 1970 ; Castellucci and Kandel,
1974 ; Klein et al., 1980 ; Bailey and Chen, 1988 ). In
Aplysia, cAMP contributes to synaptic facilitation (Brunelli
et al., 1976 ; Klein and Kandel, 1980 ). In contrast, results in
rut mutants imply that a cAMP signal promotes habituation of
the giant fiber response in Drosophila (Fig. 4). However, it
is not known whether this habituation is homosynaptic. Polysynaptic
pathways and inhibitory input contribute to plasticity, for instance,
in Aplysia (Fischer and Carew, 1993 ; Schacher et al., 1993 ;
Trudeau and Castellucci, 1993 ) and crayfish (Krasne and Teshiba,
1995 ).
Effects of cAMP in synaptic plasticity in Drosophila have
also been explored in neuromuscular junctions (Zhong and Wu, 1991a ;
Zhong et al., 1992 ), where their influence is frequency-dependent
(Zhong and Wu, 1991a ). It is interesting that stimulus frequencies that
facilitate these peripheral synapses apparently depress central
synapses in the giant fiber pathway. Twin-pulse facilitation and
post-tetanic potentiation of neuromuscular excitatory junctional
currents (EJCs) are reduced in both rut and dnc
mutants (Zhong and Wu, 1991a ), but for different reasons:
rut EJCs require abnormally high stimulus levels for partial
conditioning, whereas unconditioned dnc EJCs resemble
conditioned wild-type EJCs but are not strengthened further by
stimulation.
Physiological bases of the mutant effects are unclear, but evidence
points to direct, indirect, and chronic or developmental mechanisms.
rut and dnc mutations alter
K+ currents in larval muscles (Zhong and Wu,
1991b ) and cultured neurons, leading to increased excitability (Zhao
and Wu, 1994 ). In Drosophila, cAMP may directly gate
K+ channels (Delgado et al., 1991 ), modulate
K+ and Ca2+ channels
(Alshuaib and Byerly, 1992 ; Wright and Zhong, 1995 ) possibly via PKA or
other kinases (Dévay and Friedrich, 1987 ; Dévay et al.,
1989 ; Drain et al., 1991 ; Asztalos et al., 1993 ), or alter gene
expression via CREB/CREM pathways (Yin et al., 1994 ). It should be
noted that a number of synaptic vesicle proteins that regulate the
release process are also known targets of PKA (for review, see
Südhof, 1995 ), although their biochemical alterations have not
been demonstrated in these mutants. Furthermore, heightened cAMP levels
in dnc mutants activate PKA indirectly by increasing
proteolysis of regulatory subunits (Müller and Spatz, 1989 ), and
expression of a G-protein subunit that may regulate cation currents is
enhanced in rut and dnc mutants (Guillén et
al., 1990 ), showing that these mutations have far-ranging biochemical
effects.
Although some physiological effects of cAMP mutations can be mimicked
by acute pharmacological treatments (Corfas and Dudai, 1990b ; Zhong and
Wu, 1991a , 1993a ), others appear chronic (Zhong and Wu, 1993b ), and
developmental morphological effects have been documented in
mechanosensory and motor axon terminals (Corfas and Dudai, 1991 ; Zhong
et al., 1992 ) and mushroom body tracts (Balling et al., 1987 ). Chronic
and developmental effects could contribute to mutant defects in
habituation by changing properties of the giant fiber pathway.
These results suggest several directions for further exploration. By
analyzing additional mutations and their interactions with
rut and dnc, it should be possible to identify
regulators and targets of cAMP pathways. For example, rut
adenylyl cyclase was recently shown to be potentiated by Ca/CaM and
receptor-coupled G-protein pathways (Livingstone et al., 1984 ; Levin et
al., 1992 ; Feany and Quinn, 1995 ; Zhong, 1995 ). Other possibilities
include ion channels, which are altered by many available mutations (Wu
and Ganetzky, 1992 ), as well as messengers that could act in parallel
pathways of habituation, such as CaM Kinase-II (Griffith et al., 1993 ).
Enhancer-trap methods (O'Kane and Gehring, 1987 ) using tissue-specific
promoters to localize gene expression could provide more detailed
information about where different molecules act in the circuit. Those
methods can also be used to mark identified neurons in culture, where
cellular and synaptic properties could be studied and correlated with
the response in vivo (Zhao and Wu, 1994 ; Wright and Zhong,
1995 ). Finally, because sensory pathways of several modalities appear
to converge on the giant fiber pathway in flies (Strausfeld and Bacon,
1983 ; Bacon and Strausfeld, 1986 ; Milde and Strausfeld, 1990 ), this
system should allow us to examine mechanisms of sensory integration in
plasticity. Similar molecular mechanisms may mediate associative and
nonassociative conditioning in Aplysia (Fitzgerald et al.,
1990 ), and both types of conditioning are altered by memory mutants in
Drosophila (Dudai et al., 1976 ; Duerr and Quinn, 1982 ;
Aceves-Pina et al., 1983 ; Tempel et al., 1983 ; Tully and Quinn, 1985 ;
Corfas and Dudai, 1989 ; Rees and Spatz, 1989 ; Tully and Koss, 1992 ).
Future experiments exploring the possibility of associative
conditioning of the giant fiber response could extend the advantages of
this system to studying the relationships between these different
conditioning paradigms.
FOOTNOTES
Received Aug. 10, 1995; revised Feb. 27, 1996; accepted March 1, 1996.
This work was supported by National Institutes of Health Grants NS26528
and HD18577 to C.F.W. We thank Ms. Jisue Lee for assistance with data
collection and Dr. Marla B. Sokolowski for critical comments.
Correspondence should be addressed to Chun-Fang Wu, Department of
Biological Sciences, University of Iowa, 136 Biology Building, Iowa
City, IA 52242-1324.
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