Volume 16, Number 10, Issue of May 15, 1996 pp. 3500-3506
Copyright ©1996 Society for Neuroscience

The Echidna Tachyglossus aculeatus Combines REM and Non-REM Aspects in a Single Sleep State: Implications for the Evolution of Sleep

J. M. Siegel¹, P. R. Manger², R. Nienhuis¹, H. M. Fahringer¹, and J. D. Pettigrew²

¹ VAMC Sepulveda and UCLA School of Medicine, Neurobiology Research, Sepulveda, California 91343, and ² Vision, Touch and Hearing Research Centre, University of Queensland, Brisbane, Australia

ABSTRACT

INTRODUCTION

MATERIALS AND METHODS

RESULTS

DISCUSSION

FOOTNOTES

REFERENCES

ABSTRACT

Placental and marsupial mammals exist in three states of consciousness: waking, non-REM sleep, and REM sleep. We now report that the echidna Tachyglossus aculeatus, a representative of the earliest branch of mammalian evolution (the monotremes), does not have the pattern of neuronal activity of either of the sleep states seen in nonmonotreme mammals. Echidna sleep was characterized by increased brainstem unit discharge variability, as in REM sleep. However, the discharge rate decreased and the EEG was synchronized, as in nonREM sleep. Our results suggest that REM and non-REM sleep evolved as a differentiation of a single, phylogenetically older sleep state. We hypothesize that the physiological changes that occur during postnatal sleep development parallel certain aspects of the changes that have occurred during the evolution of sleep-waking states in mammals.

INTRODUCTION

There are three monotreme species, the duck-billed platypus, Ornithorhynchus anatinus, the long-beaked echidna, Zaglossus bruijni, and the short-beaked echidna (spiny anteater), Tachyglossus aculeatus. The platypus is aquatic and presents many technical difficulties for chronic recording. The long-beaked echidna of New Guinea is not readily available for study. The short-beaked echidna is the only monotreme in which sleep has been studied.

Allison et al. (1972) found high-voltage cortical electroencephalograms (EEG) throughout sleep in the echidna, resembling the EEG of the non-REM sleep state seen in placental and marsupial mammals. Arousal threshold was elevated during periods of high-voltage EEG, as in sleep in other mammals, and was lowest during periods of low-voltage EEG, as in waking. Periods of low-voltage EEG occurring immediately after high-voltage sleep, called PS?, were studied carefully to determine whether they might represent REM (paradoxical) sleep. Pyriform cortex rhythmic activity and hippocampal theta are maximal in active waking and REM sleep and are reduced or absent in quiet waking (QW) in all mammals in which these parameters have been studied. Whereas the active waking pattern of other mammals was seen in echidna active waking, the pyriform rhythmic activity and hippocampal theta seen in REM sleep was not seen in PS?. Brain temperature did not increase in PS? as it does in most mammals in REM sleep. Deprivation of PS? did not result in a rebound as it does for REM sleep. Somatic evoked responses in PS? resembled the waveform seen in QW rather than that of REM sleep. Finally, the arousal threshold in PS? was not elevated as it is in most mammalian species in REM sleep, but was similar to that of waking. These findings led Allison et al. to conclude that PS? was QW. Based on their observations, they concluded that the echidna does not have REM sleep. They hypothesized that REM sleep evolved after non-REM sleep in the mammalian line. Their conclusions have been an important consideration in subsequent theories of REM sleep function (Crick and Mitchison, 1983; Vertes, 1986; Siegel and Rogawski, 1988; Winson, 1990).

Slow wave variables suggest that sleep in the echidna resembles non-REM sleep. However, cortical EEG is just one indicator of sleep state. The two sleep states seen in nonmonotreme mammals, REM and non-REM sleep, are the product of different patterns of neuronal activity. The difference in discharge pattern in REM and non-REM sleep can be seen most easily in the brainstem reticular formation.

In nonmonotreme mammals, the great majority of brainstem reticular neurons have high and irregular discharge rates during active waking. Rate is reduced and more regular during QW. Discharge rate is minimal and most regular during non-REM sleep. This discharge pattern underlies the regularity of physiological control in this state (Siegel, 1994). REM sleep is characterized by fast and irregular discharge in most brainstem neurons. This discharge pattern produces the rapid eye movements, twitches, and other aspects of REM sleep (Siegel, 1994; Zepelin, 1994). The postural eye movement and other ``epiphenomena'' of sleep may differ in their expression among mammalian species. However, the underlying pattern of unit activity change during REM and nonREM sleep is similar in all placental and marsupial mammalian species, in all brainstem reticular and cortical areas (Huttenlocher, 1961; Evarts, 1964; Findlay and Hayward, 1969; Desiraju, 1972; Hobson et al., 1974; Siegel et al., 1977, 1979, 1983; Siegel and Tomaszewski, 1983; Chase and Morales, 1990; Steriade et al., 1993; Siegel, 1994; Zepelin, 1994).

The finding of a single sleep state in the echidna characterized by cortical slow waves raises the question of the nature of neuronal activity during sleep in this monotreme mammal. Does brainstem neuronal discharge show the non-REM sleep pattern of other mammals? Or might the cortical slow waves accompany a REM sleep-like state in the brainstem? The answer to this question would shed light on the issue of how the neuronal activity patterns of REM and non-REM sleep evolved.

In the present studies, we examined brainstem neuronal activity in the unrestrained echidna across the sleep cycle to determine the nature of the echidna sleep state. Some of this work has been presented in preliminary form (Siegel et al., 1994).

MATERIALS AND METHODS

The echidnas were adapted to an enclosure at the University of Queensland that measured 1 m². The enclosure was in a room with an opening in the roof that allowed natural light cycles and temperature conditions. Infrared LEDs provided illumination for video observation using a charge-coupled video camera with the infrared filter removed (Manger and Pettigrew, 1995). The enclosure was covered with dirt or shredded paper to a depth of 15 cm. Echidnas were fed a mixture of Chum dog food, uncooked egg, and milk. Studies were performed in December, January, and February between 7 A.M. and 11 P.M., with temperatures in the enclosure ranging from 20 to 28°C. Animals were active during the night, typically eating all their food between 11 P.M. and 7 A.M.

After an adaptation period of at least 2 months, the animals were anesthetized with Ketamine-Xylazine. Echidnas cannot be held in a standard stereotaxic frame. Their ear canals are at an acute angle to the stereotaxic planes and are of such small size that they will not permit the introduction of ear bars. The small size and lateral placement of the eyes also prevent use of the orbits as a restraint point. To use stereotaxic technique, we cemented a stainless steel bar to the frontal portion of the skull to immobilize the head during surgery. The bar, attached to a lockable universal joint, was clamped with Nicad magnets to the stereotaxic frame. The skull then was oriented with the ventral surface of the upper beak in the horizontal plane. The intersection of the sagittal sinus and cerebellum then was exposed to provide a stereotaxic reference point. A stereotaxic atlas was developed using the skulls and brain of two additional echidnas. Microwire electrodes, diameter 32 µ, mounted on movable microdrives, were constructed using techniques described previously (Siegel et al., 1977).

Unit recording electrodes were placed in the pontine tegmentum, an area that has been shown to be critically involved in REM-sleep generation. Electrodes also were placed in the midbrain reticular formation, the brain region in which sleep-cycle discharge has been most thoroughly studied in placental mammals (Huttenlocher, 1961; Hobson et al., 1974; Siegel et al., 1979, 1983; Siegel and Tomaszewski, 1983; Steriade et al., 1993; Siegel, 1994). The recording arrays sampled from a 6 mm rostro-caudal and 4 mm medio-lateral expanse of the reticular formation, including midbrain, pontine, medial and medio-lateral regions of the nucleus reticularis pontis oralis, and midbrain reticular formation, as defined by the location of the cranial nerve nuclei and other brainstem anatomical landmarks. Pairs of 1 mm diameter screw electrodes with 3 mm separation were placed on the dura mater over parietal and sensorimotor cortex for EEG recording. The eyes of the echidna face laterally. Wire hook electrodes were placed just lateral and medial to the orbit of the left eye with a 6 mm separation for electro-oculogram (EOG) recording. Four stranded stainless steel wires were placed in the dorsal neck musculature for electromyogram (EMG) recording. A thermocouple was placed in the cerebellum to continuously monitor brainstem temperature. A counterbalance system supported the recording cables and allowed the echidna to move freely throughout the enclosure during spontaneous waking and sleep episodes. Physiological variables were recorded and digitized for subsequent computer analysis. Animals were healthy and maintaining or gaining weight over the course of the study.

RESULTS As reported by Allison et al. (1972), we saw long periods of high- voltage EEG during behavioral quiescence. The time course of EEG power changes during sleep was similar to that of non-REM sleep in nonmonotreme mammals (Fig. 1). Allison et al. previously had emphasized a lack of EEG spindles in the echidna. With our sensorimotor cortex recording derivations, we did see activity in the 6-9 and 10-14 Hz range. However, the distinct waxing-waning envelope of the feline spindle wave was not seen in the raw EEG signal.

Neck muscle tone was absent whenever the echidna was not actively moving. Thus, there was little or no additional reduction in tone with the high-voltage EEG of sleep.

We saw no periods of EOG activity during sleep with high-voltage EEG waves. In an attempt to elicit waking eye movement, we held an implanted echidna and rotated it rapidly in the sagittal and horizontal planes in a manner that elicits vigorous vestibulo-ocular reflexes in the cat (Siegel et al., 1983). We saw no eye movement by direct visual observation of the eyes or with our EOG recordings. We saw no periods of EOG activity with low-voltage EEG when the animal was not actively locomoting. These observations are in accord with the conclusion of Allison et al. (1972) that the echidna does not have large-amplitude eye movements. Periods during which the echidnas had little movement or EMG activity but showed a low-voltage EEG tended to follow active periods during which the echidnas ate, locomoted, and explored the environment. Gross movements of the body produced significant activity on the EOG leads. This appeared to be a movement artifact. The sharp quills of the echidna, which cover its entire body and head, are movable. They are another source of EMG artifact recordable on the EOG channel. The tongue of the echidna, used to capture ants, can be projected 18 cm from its mouth. The tongue movement path runs close to the eyes and also is a potential source of activity in electrodes placed to record eye movements. We acquired usable brain temperature data on one of the animals and found decreased brain temperature during sleep, as reported by Allison et al. (1972).

A total of 43 units were recorded, 26 from the midbrain reticular formation and 17 from the subcoeruleus/reticularis pontis oralis region of the pons. Units were recorded for a minimum of 3 hr and a maximum of 30 hr.

Active waking was characterized by high and irregular discharge rates. During QW, the EEG remained low voltage, and reticular formation unit activity slowed and became more regular. Thus, during waking, echidna unit discharge was like that of placental mammals.

Mean unit activity rates were 4.7 Hz in QW and 3.3 Hz in sleep. Sleep discharge rates were significantly lower than the rates in QW (F = 3.8, p <.05). Therefore, the rate decrease during sleep in the echidna resembled that seen in brainstem reticular units in placental mammals during non-REM sleep (Hobson et al., 1974; Siegel and McGinty, 1976; Siegel, 1979, 1994; Siegel et al., 1979, 1983; Siegel and Tomaszewski, 1983; McGinty and Siegel, 1992; Steriade et al., 1993).

We saw no major difference in the rate or pattern of sleep-cycle discharge as a function of the location of the units within the medial reticular formation of the echidna (Figs. 2, 3). Figure 2 includes evaluations of changes in variability in digitized echidna data (n = 22, with 17 increasing variability in sleep), as well as in an additional six cells in which a polygraph record of multiple sleep cycles was made and the change in variability with sleep assessed by inspection of the paper record (five of six increased variability in sleep). In nonmonotreme mammals, reticular cells decrease variability in the transition from waking to non-REM sleep and increase variability in REM sleep (Huttenlocher, 1961; Hobson et al., 1974; Siegel and McGinty, 1977; Siegel, 1979). In the echidna, 79% of units increased discharge variability in the transition from waking to sleep with high-voltage EEG. Cells with this pattern were distributed throughout the brainstem reticular formation of the echidna. Therefore, the differences we report cannot be attributable to our sampling of a different neuronal population.

Figures 3 and 4 show the discharge of echidna units during waking and sleep. Figure 4 also shows representative units recorded in the same brainstem regions in the cat and dog. In placental mammals, virtually all midbrain and pontine units show unchanged or decreased discharge variability in non-REM sleep relative to QW and increased variability only in REM sleep.

The increased variability of echidna reticular formation unit discharge in sleep relative to QW was quantified by calculating the variability in discharge frequency during consecutive 10 sec epochs. The echidna data were compared with unit data collected for other studies in our laboratory. Cat units were recorded in mongrel cats (Siegel and Tomaszewski, 1983; Siegel et al., 1983). Dog units were noncataplexy-related units recorded in narcoleptic Dobermans (Siegel et al., 1991). We selected cat and dog units recorded from anatomical locations approximating the anatomical locations of the echidna units (Fig. 2). Both cat and dog units were recorded in unrestrained, unstimulated, and undrugged animals during spontaneous sleep cycles using the same 32 µ microwire recording techniques used in the echidna (Siegel and McGinty, 1976; McGinty and Siegel, 1992). Ten reticular cells in the dog, 13 in the cat, and the 22 echidna cells for which we were able to digitize records across the sleep cycle were compared.

The levels of variability of reticular unit discharge in REM sleep did not differ significantly in the dog and cat; neither did levels of discharge variability in non-REM sleep (p >0.1, Mann-Whitney U test). These data were pooled for the subsequent comparisons. Variability of discharge in QW also did not differ significantly in the dog and cat. Variability of discharge in QW in the echidna did not differ from the pooled cat and dog QW values. The increased variability of reticular unit discharge in sleep in the echidna differed significantly from the decreased variability seen in non-REM sleep in the cat and dog (p <0.001, Mann-Whitney U test comparing the direction of change from waking to sleep). The level of reticular unit discharge variability in the echidna during sleep was significantly greater than that during non-REM sleep in the cat and dog (p <0.027, Mann-Whitney U test). Variability in echidna sleep was significantly less than the variability in dog and cat REM sleep (p <0.001). In summary, whereas the increase of variability in the echidna was in the direction of the change seen in REM sleep and the variability was greater than that in dog and cat non-REM sleep, the magnitude of the variability increase seen in sleep in the echidna was lower than that in REM sleep.

Figure 5 plots sleep variance against QW variance in the cat, dog, and echidna. The points for the echidna can be seen to fall between the points from REM and non-REM sleep in the cat and dog. This illustrates graphically that the increased discharge variability during sleep in the echidna is intermediate between the pattern seen in non-REM sleep and REM sleep in cats and dogs.

We did not see any periods of phasic motor activity in the EMG or in our infrared video observations during these periods of unit discharge irregularity. The complete atonia during sleep may have blocked the motor expression of phasic brainstem unit activity. Another explanation for the lack of motor activity is that whereas the bursting activity of brainstem neurons during REM sleep is synchronized across the entire neuronal population in placental mammals (Siegel et al., 1981), bursting was not synchronized in the echidna. Cross-correlation analyses at 1, 25, and 200 msec binwidth of 20 units recorded in 10 pairs revealed that these echidna units, even when recorded from the same microwire, fired their bursts asynchronously in sleep. Figure 6 compares a cross-correlation of a representative cell pair recorded from the pontine reticular formation of the echidna with a cross-correlation of a typical pair of cat pontine reticular units recorded in our laboratory using identical techniques (Siegel et al., 1981). A peak, indicating correlated firing of units, is present during REM sleep in the cat, but was not present in any of the echidna pairs we recorded.

DISCUSSION

We hypothesize that since the divergence of monotreme and nonmonotreme mammals 130 million years ago, there has been a differentiation of this primordial sleep state into two states; whereas the primordial state had reduced discharge rate and increased variability simultaneously, the subsequently evolved states alternate temporally. Non-REM has a low discharge rate and low rate variability, whereas REM sleep has a high discharge rate and very high rate variability.

Our study was aimed at an analysis of neuronal activity during the echidna sleep state described by Allison et al. (1972), not at a reexamination of their conclusion that the echidna lacked a REM sleep state. A recent abstract reports evidence for REM sleep with low-voltage EEG and rapid eye movements in the echidna (Berger et al., 1995). However, in contrast to the studies by Allison et al., arousal thresholds were not tested in this putative sleep state. Therefore, this criterion for distinguishing sleep from waking was unavailable. The Berger et al. study used only needle electrodes placed outside the cranium and, therefore, did not include the hippocampal, pyriform cortex, and brain temperature measures that allowed Allison et al. to conclude that the echidna did not have REM sleep. Berger et al. also did not repeat Allison et al.'s PS? deprivation test or somatosensory-evoked responses that contributed to the latter's conclusion that echidnas do not have REM sleep. Our observation of lack of signal on EOG electrodes placed close to the eye during vestibular stimulation suggests that the potentials recorded by the more widely spaced bilateral needle electrode derivations used in Berger's study were movement artifact rather than eye movement, indicating a waking state. Our unit recordings indicate reticular bursting during active waking (as the animal locomoted) and in periods of high-voltage EEG with the animal quiescent, but uniformly low levels of variability during periods of low-voltage cortical EEG without movement, as in QW. All of these considerations are most consistent with the conclusion that the low-voltage EEG periods are waking rather than REM sleep.

REM and non-REM sleep usually are viewed as completely distinct states. Thus, an often-quoted statement is that REM sleep is as different from non-REM sleep as non-REM sleep is from waking (Dement, 1972). Indeed, this appears to be true at the descriptive level. However, there also are important links between REM and non-REM sleep. Across mammalian species, REM sleep time is correlated positively with non-REM sleep time (Zepelin and Rechtschaffen, 1974). Studies of REM-non-REM cyclicity show that even within the cycle of an individual animal, REM sleep duration is highly correlated with, and can be predicted by, previous non-REM sleep duration (Uchida et al., 1992; Benington and Heller, 1994). The current study is consistent with the idea that REM sleep and non-REM sleep are linked evolutionarily and, perhaps, functionally.

Adult nonmonotreme mammals have a high ratio of REM sleep to non-REM sleep discharge rates in the brainstem reticular formation. Corner and Bour (1984) have shown that this pattern develops postnatally, in the first few weeks of life. In the current study, we show that the rate and variability of discharge in medial reticular cells during sleep in the echidna are lower than those in REM sleep and higher than those of non-REM sleep in the cat and dog. This pattern resembles more closely the neonatal pattern. Therefore, a state of reduced reticular variability is shared by monotremes and young nonmonotreme mammals. We hypothesize that the developmental differentiation of this state into REM and non-REM sleep parallels the phylogenetic differentiation of these states from the primordial sleep state.

FOOTNOTES

Received Oct. 27, 1995; revised Feb. 29, 1996; accepted Mar. 1, 1996.

This work was supported by the Medical Research Service of the Veterans Administration, US Public Health Service Grants NS32819 and NS14610, and the Australian Research Council Special Research Centres Budget. We thank Joel Benington for help with spectral analysis of the echidna EEG. This research was carried out according to the Australian Code of Practice for the Care and Use of Animals for Scientific Purposes under Queensland National Parks and Wildlife permits T00803 and K01782.

Correspondence should be addressed to Jerome Siegel, Department of Psychiatry, UCLA, Neurobiology Research 151A3, VAMC, 16111 Plummer Street, North Hills, CA 91343.

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