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First published online May 30, 2008
Journal of Experimental Biology 211, 1992-1998 (2008)
Published by The Company of Biologists 2008
doi: 10.1242/jeb.018531
A biphasic memory curve in the chambered nautilus, Nautilus pompilius L. (Cephalopoda: Nautiloidea)
1 Brooklyn College, The City University of New York, Brooklyn, NY 11210,
USA
2 City University of New York Graduate School and University Center, Ecology,
Evolution and Behavior subprogram, 365 Fifth Avenue, New York, NY 10016,
USA
* Author for correspondence (e-mail: robyn_crook{at}hotmail.com)
Accepted 2 April 2008
| Summary |
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Key words: Nautilus, cephalopod, learning, memory, classical conditioning
| INTRODUCTION |
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In many respects nautilus is an anomaly among modern cephalopods. It is
long-lived, slow growing and largely sedentary, scavenging for its food rather
than actively hunting prey (Saunders,
1985
; Hanlon and Messenger,
1996
). It lives predominately in deep, cold waters surrounding the
coral reefs of the Indo-Pacific, and makes diurnal migrations from dark and
deep water (>300 m) where it spends daylight hours to shallower, warmer
waters (<75 m) to forage during darkness
(Carlson et al., 1984
;
Ward et al., 1984
). Learning
and memory may be of use during these repetitive daily movements across
familiar terrain.
Light penetration in the deep ocean habitat of nautilus is minimal, and it
is likely that nautilus relies mostly on olfaction and touch to locate food
sources, in contrast to the visually oriented hunting behaviours of many
coleoids (Saunders, 1985
). The
structure and visual acuity of the primitive, lensless eye lends support to
the hypothesis that vision is of limited use
(Muntz, 1986
;
Muntz, 1987
). Nautilus forages
in darkness by tracking odour with its rhinophores and tentacles, which
typically fan out and extend in a characteristic search posture (`cone of
search') when the animal senses odours
(Bidder, 1962
;
Basil et al., 2000
;
Basil et al., 2005
). The
efficiency with which nautiluses locate food sources suggests they are
specialised for exploiting a patchy and changeable resource distribution, and
may rely on local information to forage rather than investing in memory of
feeding locations.
The central nervous system (CNS) of nautilus reflects the heavier reliance
on olfactory rather than visual processing, but is similar in overall
structure to the coleoid CNS. The thirteen main lobes are not clearly
differentiated from the surrounding tissue
(Young, 1965
) and there
appears to be little specialisation. The vertical and sub-frontal lobes,
regions of the brain that have been implicated in tactile and visual learning
and memory in coleoids (Young,
1960
; Young, 1961
;
Hochner et al., 2003
) are
entirely absent from the nautilus CNS
(Young, 1965
), and there is
some evidence that the structural simplicity of the brain may be
representative of an ancestral condition
(Young 1991
;
Shigeno et al., 2007
).
Learning and memory are well known in coleoids – cuttlefish and
octopuses have yielded a wealth of information about physiological bases of
invertebrate memory, and have demonstrated impressive learning abilities (for
reviews, see Mather, 1995
;
Hanlon and Messenger, 1996
;
Hochner et al., 2006
;
Alves et al., 2007
). By
contrast, nautilus has been largely overlooked for behavioural studies. Among
the non-cephalopod molluscs there are numerous experimental examples of
learning by conditioning (for reviews, see
Benjamin et al., 2000
;
Balaban, 2002
). Although the
range of conditioned behaviours is somewhat more restricted than those shown
by the coleoid cephalopods, gastropods, nudibranchs and opisthobranchs all
learn through conditioning [e.g. Helix
(Balaban, 2002
);
Lymnaea (Benjamin et al.,
2000
; Lukowiak et al.,
2003
); Aplysia
(Kandel, 1979
;
Carew et al., 1981
);
Hermissenda (Crow,
2004
)]. Long-term memory lasting from several days to several
weeks after training (e.g. Lukowiak et
al., 2000
; Benjamin et al.,
2000
) shows that even `simple' brains are capable of remembering
conditioned behaviours for considerable periods – a vertical lobe is
certainly not the only structure necessary for storing memory, and simply
demonstrating memory in another genus of mollusc is not remarkable. The lack
of information on behaviour in nautilus represents a gap in our knowledge of
learning among the molluscs, yet nautilus is a particularly interesting
subject for studies of the evolution of dedicated learning
structures, primarily because of its close relationship to the coleoids, the
most neurologically complex invertebrates. It is the oldest and most primitive
of the extant cephalopods (Saunders et
al., 1996
) and is the only extant cephalopod lacking the vertical
lobe complex (Young, 1965
;
Young, 1991
). Therefore
identifying similar behavioural abilities in nautilus to those known in other
cephalopod and non-cephalopod molluscs should shed considerable light on the
evolutionary pathways that led to the development of the complex coleoid
brain, and on general principles underlying the evolution of neural
complexity.
|
| MATERIALS AND METHODS |
|---|
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Stimuli
We used a conditioned stimulus (CS) of a 0.5 s pulse of blue light
(
max 480 nm; Stylus Streamlight; Eagleville, PA, USA; model
3327547), positioned 20 cm above the water surface and 10 cm behind the
animals' shell. Nautilus eyes have many receptors tuned to this wavelength
(Muntz, 1986
) and it is
similar to the light emitted by bioluminescent bacteria found in their habitat
(Haddock and Case, 1999). The lighting angle provided background illumination
of the whole experimental arena that was measured at 0.42 µm
m–2 s–1. Preliminary tests showed that this
stimulus elicited no innate (unconditioned) response in our animals, which
were accustomed to changes in light intensity that occurred during routine
maintenance procedures. The unconditioned stimulus (US) was a 2% w/v infusion
of the normal food substance, frozen tilapia head, infused in home-tank water.
The solution was freshly made for each training procedure from a 2 cm cube of
frozen meat blended with 100 ml of home-tank water, and then strained to
remove particulate matter. Preliminary testing confirmed that animals showed a
pronounced excitatory response (tentacle extension and rapid ventilation) when
this solution was introduced into their home tank. In each CS+ training trial
2 ml of the US solution was included. The control US, used in CS–
trials, was 2 ml of home-tank water, which was effectively odourless but
identical otherwise.
Apparatus
All experiments were run in a light-proof room that was illuminated by a
dim red light (60 W; Satco, Brentwood, NY, USA; model no. 4984) in one corner
of the room, which provided a background light level of 0.04 µm
m–2 s–1. Although it is probable that the
red light was undetectable to N. pompilius
(Muntz, 1986
) blinds were
placed around the experimental arena and the camera such that the animal was
shielded from the red light for the whole procedure. The experimental arena (a
glass aquarium, 36 cmx20.5 cmx25 cm;
Fig. 1) was filled with water
taken from the animals' home tank, to avoid cueing the animal with novel
odours present in clean seawater. An air-stone was fixed into one corner of
the tank and remained on for the whole procedure, providing background noise,
oxygenation and water mixing.
|
Trials were videotaped with a 0 lx Hi-8 camcorder (Sony, model CCD-TRV67) positioned 80 cm from the side of the tank (Fig. 1C). Recording began at the start of the acclimation periods and continued until 3 min after the final stimulus presentation. Submerged parts of the experimental apparatus, tank and equipment were washed thoroughly with a mild detergent and hot water between trials.
Training and testing procedures
Experiments were conducted between June 2005 and February 2006, primarily
during the dark period of the day:night cycle between 20:00 h and 04:00 h. We
used a within-subjects, counterbalanced design, such that each animal received
either CS+ or CS– training first, then the alternative procedure was
conducted 2 weeks later. All animals received both CS+ and CS– training
at different stages of the experiment (see
Myers and Well, 2003
). The
order in which subjects were tested was re-randomised before testing of a new
retention or recovery interval began.
We tested animals at six different retention intervals in random order over the course of the experiment: 3 min, 30 min, 1 h, 6 h, 12 h and 24 h post training. Six animals were tested at each retention interval, a small number but sufficient to provide statistically significant results. Because we aimed to minimise the number of animals we required for the experiment, each subject was used to test three different retention intervals (Table 1). Animals were allowed at least 6 weeks without participating in any procedures before being used to test another retention interval. We considered this ample time for any lasting effects of handling and training during the previous procedure to decay.
|
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Training trials began as soon as the acclimatisation period was over. We trained animals with a single block of ten training trials, using an inter-trial interval (ITI) of 3 min. In CS+ trials, 2 ml of fish-infused home-tank water (US) were delivered via the guide tube in each presentation. At the same time as the odour was released, a single 500 ms light pulse was flashed into the arena, illuminating the tank and the surroundings. In CS– trials, the light pulse was paired with 2 ml of home-tank water, but the procedure was otherwise identical. To control for the presence of fish odour in the tank during the conditioning procedure, in CS– trials 20 ml of fish-head infusion was added to the arena at the beginning of the acclimation stage of the control training. After the training phase (both CS+ and CS–) was complete the animal was maintained in a small holding tank in the experimental room during the 30 min and 1 h retention intervals, or was transported back to the home tank for the longer (6 h, 12 h, 24 h) retention intervals. In the 3 min tests animals remained in the experimental arena as handling would almost certainly have proved disruptive. Test procedures involved a single unrewarded presentation of the CS at one of the six retention intervals, and the responses were taped from the beginning of the 15 min acclimation period, except in the case of the 3 min interval when the camera continued recording after training until 3 min after delivery of the test light-pulse.
Data analysis and statistical procedures
Data from each of the six testing sessions were scored by three observers
(R.C., J.B. and one assistant). Tapes were numbered and mixed to minimise bias
in scoring. We analysed behavioural data within the 30–60 s period after
the test presentation of the CS (light pulse only). This 30 s interval was
divided into 5 s bins for behavioural scoring, and ventilation rate and
tentacle extension response (TER, described below) were recorded for each bin.
Nautiluses increase ventilation and extend their tentacles during food
searches but not in response to exposure to blue light, therefore we
considered these behaviours as appropriate measures of a conditioned response.
We scored ventilation rates by counting the opening and closing of the funnel
during each breath, or by monitoring the rhythmic beating of the funnel wings.
We graded tentacle extension from zero to a maximum value of three
(Fig. 2), based on a
proportional measure of tentacle length to hood length, since animals were of
different sizes. Hood length was measured from the point of contact of the
hood with the shell behind the eye to the distal edge of the hood. The highest
TER and ventilation rate observed from each 5 s bin were recorded and
cross-checked double-blind by two of the three observers. For each animal, a
mean ventilation rate and mean TER score from the six, 5 s bins were
calculated to avoid pseudo-replication of behavioural scores. A grand mean was
computed from each animal's mean in CS+ and CS– groups for that
retention interval. We compared ventilation rates and TER scores between CS+
and CS– conditions, and also across the retention intervals within each
condition. We used non-parametric statistics as our small sample sizes meant
that meeting the assumption of a normal distribution of errors was difficult
to confirm. A Wilcoxon signed-ranks test for paired samples was used to
compare behaviour between CS+ and CS– conditions at each retention
interval. For comparisons of behaviours across the time intervals we used a
Kruskall–Wallis test to identify overall differences in behaviours among
the six retention intervals, and post-hoc Mann–Whitney
U-tests for pair-wise comparisons if an overall effect of time was
detected.
| RESULTS |
|---|
|
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|---|
|
Comparisons of behaviours across the six retention intervals
Kruskall–Wallis tests on TER and ventilation rates among the six
retention intervals revealed no significant effect of time intervals on
behaviours in the CS– group (TER: H=1.60, d.f.=5,
P=0.90; ventilation rate: H=9.55, d.f.=5, P=0.09).
There was a significant effect of time interval on TER (H=17.38,
d.f.=5, P=0.004) and on ventilation (H=13.816, d.f.=5,
P=0.017) in the CS+ treatment group, reflecting the expression of the
two distinct memory peaks in CS+ animals. Significant pair-wise comparisons
(Mann–Whitney U-tests) for TER and ventilation rates are shown
in Fig. 4A and B respectively.
TER in the 3 min retention interval was significantly higher than TER at 1 h
(Z=–2.28, P=0.02) and 24 h (Z=–2.42,
P=0.01). TER at the 6 h retention interval was significantly higher
than TER scores at 30 min (Z=–2.25, P=0.02), 1 h
(Z=–2.58, P=0.01) and 24 h (Z=–2.53,
P=0.01). TER at the 12 h retention interval was higher than TER at 1
h (Z=–2.12, P=0.03) and 24 h (Z=–2.01,
P=0.04). There were fewer differences among ventilation rates across
time. Only comparisons between 30 min and 1 h (Z=–2.59,
P=0.01), 30 min and 24 h (Z=–2.42, P=0.02)
and 1 h and 12 h (Z=–2.11, P=0.03) were
significant.
| DISCUSSION |
|---|
|
|
|---|
The duration of the short-term memory profile in nautilus was comparable to
other cephalopods, however, long-term memory was considerably shorter. In
adult cuttlefish (Sepia officinalis), Messenger
(Messenger, 1971
) found a
response recovery period at 22 min post-training, indicating that memory of
the aversive `prawn-in-the-tube' procedure had decayed by that time. In N.
pompilius there was some memory apparent at least 30 min post-training
and probably slightly beyond, but minimal accessible memory at 1 h
post-training. The apex of the response curve is also similar – in
cuttlefish STM is expressed strongly between 2 and 8 min post-training in
adults (Agin et al., 1998
)
before declining to baseline levels over the next 10 to 12 min
(Messenger, 1971
). In N.
pompilius there was a strong behavioural response in CS+ trials at 3 min
post-training, suggesting rapid memory formation consistent with STM, and an
STM persistence that is only slightly longer that that expressed by adult
cuttlefish.
In contrast to the result for STM, the duration of the LTM curve was
surprisingly short: there was no evidence of memory present at 24 h
post-training. In measurements taken while developing our procedure there was
no memory expressed at either 36, 48 or 72 h using the same conditioning
paradigm, suggesting that LTM does indeed degrade very early in N.
pompilius, at least under these training conditions. Interestingly the
advent of LTM is consistent with LTM appearance in other cephalopods,
suggesting consolidation occurs on a comparable schedule but decay is
accelerated in nautilus. The duration of LTM observed in both octopuses and
cuttlefish is considerably longer – certainly beyond 24 h and possibly
lasting weeks in octopus (Young,
1961
; Sutherland,
1963
; Boal et al.,
2000
). If LTM genuinely does not persist beyond 24 h in nautilus,
the mechanisms underlying such a short retention period are worthy of
consideration.
The simplest explanation is that our conditioning procedure was not optimal
to produce and sustain LTM. We were unable to train to a performance criterion
using this paradigm, as the very brief (500 ms) light pulse that served as the
CS and the short ISI (
1 s) did not permit clear determination of which
animals demonstrated acquisition of the task during the 10 training trials
they received.
Although procedural artefacts may explain the short retention times and
behavioural variability we observed, it is probable that the primitive
neuroanatomy of nautilus may also influence memory expression. In octopus,
Young (Young, 1960
) found no
substantial differences in performance of normal octopuses (O.
vulgaris) trained in an operant procedure with either a 5 min or 1 h ITI,
but found a considerable difference in performance in animals that had their
vertical lobes removed. This finding is particularly interesting given the
absence of a vertical lobe complex in nautilus, and suggests that both
procedural artefacts and the particular neuroanatomical structure of nautilus
may have combined to produce the short retention times we observed. In
coleoids the vertical and subfrontal lobe complexes are necessary for visual
and tactile memory, respectively (Boycott
and Young, 1955
; Sutherland,
1963
; Maddock and Young,
1987
; Young, 1961
;
Young, 1991
;
Fiorito and Chichery, 1995
;
Robertson et al., 1996
).
Nautilus lacks both these dedicated regions
(Young, 1965
) and it seems
likely that this pliesiomorphic neuroanatomy retained by N. pompilius
would affect its capacity for memory storage. Future studies examining
learning in different contexts may provide clarification.
Certainly there are numerous examples of memory expression beyond 24 h in
non-cephalopod molluscs; the presence of a vertical lobe is not a necessity
for long-term storage and recall of conditioned behaviours. Gastropods and
nudibranchs have simple brains yet clearly are capable of learning and
remembering through conditioning (e.g.
Kandel, 1979
;
Balaban, 2002
;
Chase, 2002
). Our results
provide more than a demonstration of conditioning in another genus of mollusc,
however. Given the differences between the coleoid and nautilus brain, and the
even greater differences between the cephalopod brain and the brains of other
molluscs, our results highlight the role that disparate selective pressures
can play in driving the development of unique neural structures dedicated to
learning.
There are remarkable, if superficial, similarities between modern
nautiluses and the externally shelled ancestors of the coleoids
(Teichert, 1988
; Clarke,
1998). Both lineages of cephalopods remained strikingly similar in appearance
until relatively recently, when the coleoid descendents of the belemnite
lineage internalised or lost their shells and radiated into predator niches,
presumably exerting considerable selective pressure on neuroanatomy and
behaviour (Packard, 1972
;
Aronson, 1991
;
Hanlon and Messenger, 1996
).
The resulting differences in lifestyle probably promoted corresponding changes
in the neural architecture of the two lineages as they optimised in different
directions. During the Mesozoic and onward, many coleoids adopted a fast,
visual and predatory lifestyle geared toward avoiding bony-fish predators
(Aronson, 1991
;
Packard, 1972
), and their
complex brains have been considered a vital requirement for such a niche shift
(Packard, 1972
). This implies
that behavioural plasticity, expressed as rapid learning and stable memory
expression, would have been selectively advantageous during this period of
competition, and the absence of such regions in nautiloid brains limited their
ability to compete equally. However, our results suggest that among modern
cephalopods, nautiloids may perform comparably at simple cognitive tasks.
The limited information we have relating to this ancient genus provides us with both a great opportunity and some considerable difficulties. Although it is a potentially valuable taxon for the fields of neuroscience, ethology and evolutionary biology, using nautilus as a study organism poses a number of problems. We know little about its ecology and population structure, making the capture of large numbers of individuals ethically dubious. It spends most of its time at depths below those reachable by divers and thus field-based behavioural studies are extremely difficult. Conversely, destructive neurobiological techniques focussed on proximate mechanisms are equally untenable; we certainly do not advocate nautilus as a common model organism for neurobiology. However, carefully targeted behavioural assays can provide us with unique insights into the competing roles that a close evolutionary relationship and widely divergent ecology have played in shaping neuroanatomy of modern cephalopods. Improving our understanding of nautilus behaviour will provide a more complete picture of cognition in cephalopods and other molluscs, complementing the rich existing literature on the evolution of learning and memory, as well as adding to our growing understanding of this ancient species.
| Acknowledgments |
|---|
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