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Journal of Bacteriology, December 2001, p. 7253-7259, Vol. 183, No. 24
0021-9193/01/$04.00+0 DOI: 10.1128/JB.183.24.7253-7259.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Clock Control of Ultradian Respiratory Oscillation
Found during Yeast Continuous Culture
Douglas B.
Murray,*,1
Sibel
Roller,1
Hiroshi
Kuriyama,2 and
David
Lloyd3
School of Applied Science, South Bank
University, London SE1 0AA,1 and
Microbiology (BIOSI), Cardiff University, Cardiff CF10
3TL,3 United Kingdom, and AIST Hokkaido
Center, National Institute of Advanced Industrial Science and
Technology, 2-17 Tukisamu-Higashi, Toyohira-ku, Sapporo 062-8517, Japan2
Received 21 May 2001/Accepted 18 September 2001
 |
ABSTRACT |
A short-period autonomous respiratory ultradian oscillation
(period
40 min) occurs during aerobic Saccharomyces
cerevisiae continuous culture and is most conveniently studied
by monitoring dissolved O2 concentrations. The resulting
data are high quality and reveal fundamental information regarding
cellular dynamics. The phase diagram and discrete fast Fourier
transformation of the dissolved O2 values revealed a square
waveform with at least eight harmonic peaks. Stepwise changes in
temperature revealed that the oscillation was temperature compensated
at temperatures ranging from 27 to 34°C when either glucose
(temperature quotient [Q10] = 1.02) or ethanol
(Q10 = 0.82) was used as a carbon source. After
alteration of the temperature beyond the temperature compensation region, phase coherence events for individual cells were quickly lost.
As the cell doubling rate decreased from 15.5 to 9.2 h (a factor
of 1.68), the periodicity decreased by a factor of 1.26. This indicated
that there was a degree of nutrient compensation. Outside the range of
dilution rates at which stable oscillation occurred, the mode of
oscillation changed. The oscillation in respiratory output is therefore
under clock control.
 |
INTRODUCTION |
Oscillatory dynamics, which range
from those observed in particle physics to those of yearly clocks, are
ubiquitous, and in most cases knowledge concerning the underlying
processes that dictate the time base, synchronization, and regulation
of systems remains rudimentary. In living organisms dynamic behavior
provides a unique window through which the intricate spatiotemporal
organization of cells can be viewed.
Clocks are universal and fundamental to living organisms and are the
basis of temporal control of metabolism and behavior (20).
The majority of research has focused on the daily clock (circadian
clock) that is found in the entire range of organisms from
cyanobacteria to humans (6, 9). However, several classes of shorter-period temperature-compensated clocks also exist. Examples of these clocks include the millisecond clock observed during the
courtship of Drosophila (19), the 40-s
defecation clock (fast clock) found in nematodes (10), and
the ultradian clock (period
1 h) found in
Acanthamoeba castellanii (21) and in Paramecium tetraurelia (15). Biological clocks
can be differentiated from biological oscillators and rhythms by two
properties: they must run continuously under constant conditions and
have temperature compensation (6, 20, 24)
The effects of temperature on the frequencies of biological
oscillations have been extensively studied (25, 32). The
periods of glycolytic oscillators (4) and cell cycle
oscillators (1) are temperature dependent, and the
oscillation periods are usually halved when there is a 10°C increase
in temperature; i.e., the temperature quotient
(Q10) is ~2. Such oscillators have no intrinsic timekeeping function, although clocks can drive them (16).
Temperature-compensated oscillators have a Q10 of
~1; i.e., there is little alteration in the period when the
temperature changes (16). Ultradian clock function as an
intracellular co-coordinating time base has been studied in many lower
eukaryotes, including Acanthamoeba castellanii (21) and Schizosaccharomyces pombe
(17).
The ultradian oscillations of Saccharomyces cerevisiae grown
under continuous conditions can be classified into two general groups.
The oscillations in the first group occur when the cell cycle is
synchronized (period > 100 min) and are due to events and
processes that occur at well-defined stages of the cell division cycle.
During the oscillations the cell doubling time is around 10 h, and
the period is usually a fraction of the cell doubling time and is
dependent on the dilution rate (i.e., a doubling of the cell doubling
rate results in a doubling of the period) (1). A possible
explanation of this phenomenon is the asynchronous budding pattern of
S. cerevisiae that results in segregated synchronized subpopulations (7, 34) (i.e., the population balance
model). The oscillations in the second group occur when there is no
observable cell cycle synchronization, there is no dependence on the
dilution rate, and synchronicity is driven metabolically (12,
27).
The oscillations studied here are the latter type, a short-period
ultradian rhythm (period
40 min) that occurs when cells are
grown under continuous aerobic culture conditions (27). Perturbation and free-running experiments suggest that the population synchronization is mediated by hydrogen sulfide (29) and
acetaldehyde (12), possibly produced during redox
switching (23) involving ethanol and glutathione cycling
(22). Periodicity is not affected by changes in the
aeration rate for rates between 30 and 600 cm3
min
1, by changes in the percentage of oxygen in
the inlet gas up to a value of 40% oxygen (13), or during
administration of micromolar concentrations of NO· radicals
(23). However, low (micromolar) concentrations of NO+ caused large perturbations.
These oscillations differ fundamentally from oscillations in which the
cell cycle synchronizes; i.e., synchronization of the division cycle is
not observed (27). Key metabolites respond differently in
cultures in which cell cycle synchrony occurs; e.g., oscillation is
independent of storage carbohydrates, and acetate oscillates 180° out
of phase with ethanol (14), whereas these fermentation
products oscillate in phase during oscillations when the cell cycle is
synchronized (2). Coherent behavior of populations of
cells or organisms can arise by coupling of the limit cycle oscillators
of individuals initiating collective synchronization of the population
around a basin of attraction (i.e., mode of oscillation)
(31).
Fermentation systems with continuous on-line data analysis provide
high-quality data and can be analyzed by fast Fourier transformation (FFT) to determine periodicity. These facts were recently used to
determine periodicity data and information for synchronicity in a yeast
culture in which oscillation in the cell division cycle was observed
(3).
In this work we used multiple successive stepwise changes in
temperature or in dilution rate to reveal that the ultradian respiratory oscillation is an output from a clock.
 |
MATERIALS AND METHODS |
All analytical techniques used in this study were similar to
techniques used in previous studies (27).
Strains and precultures.
The S. cerevisiae strain
used in this study was polyploid strain IFO 0233, which was maintained
on YEPD agar slopes containing (per kilogram) 15 g of agar, 1 g of Difco yeast extract, 1 g of Polypeptone, and 5 g of
glucose monohydrate at 4°C. Preculture preparation involved
inoculation into YEPD broth (20 ml) and incubation in an orbital
incubator for 48 h at 125 rpm and 30°C.
Medium composition.
The basic medium contained (per
kilogram) 5 g of
(NH4)2SO4,
2 g of KH2PO4,
0.5 g of MgSO4 · 7H2O, 0.1 g of
CaCl2 · 2H2O,
0.02 g of FeSO4 · 7H2O, 0.01 g of
ZnSO4 · 7H2O, 0.005 g of CuSO4 · 5H2O,
0.001 g of MnCl2 · 4H2O, 1 cm3 of 70%
H2SO4, and 1 g of
Difco yeast extract. Glucose medium was supplemented with glucose
monohydrate (22 g kg
1) and Sigma Antifoam A (1 cm3 kg
1). Ethanol medium
was supplemented with ethanol (15.7 g kg
1),
Asahidenka Adecanol LG-294 antifoam agent (0.6 cm3 kg
1), and Nihon
Seiyaku Polypeptone (1 g kg
1).
Continuous culture.
Continuous cultures were grown as
previously described (14). Unless otherwise stated,
continuous cultures in glucose medium were grown in a fermentor
(BioLab; B. Braun) operated at pH 3.4 and 30°C with an agitation rate
of 750 rpm, a working volume of 1 dm3, a dilution
rate of 0.090 h
1, and an airflow rate of 200 cm3 min
1. Continuous
cultures in ethanol medium were grown in the laboratory of H. Kuriyama
by using BioFlo fermentors (New Brunswick) operated at pH 3.4 and
30°C with an agitation rate of 800 rpm, a working volume of 1.2 liters, an airflow rate of 180 cm3
min
1, and a dilution rate of 0.085 h
1 .
A continuous culture was initiated after a batch culture was starved
for 6 h. Autonomous respiratory oscillation stabilized 16 h
after the start of the continuous culture. During each continuous culture precautions ensured that no periodic triggering by
environmental influences (e.g., alkali addition or temperature
fluctuations) occurred.
Data acquisition, calculations, and signal processing.
When
cells were grown continuously on glucose medium, data were acquired
with a high-speed data acquisition board driven by in-house software.
The instrument sampling time was 100 ms, and the data-logging rate was
user defined (100 ms to 1 min); each data log was a running average of
the total data acquired. In order to restrict the data file size,
logging rates were restricted to every 10 s. When cells were grown
continuously in ethanol medium, data were acquired as previously
described (11).
Periods were estimated from the dissolved O
2
signals by a program (Period Analyzer) that extracts the time of a peak
maximum
and subtracts this time from the time of the previous peak
maximum.
The values for at least 20 stable oscillations were used to
calculate
periods and their standard deviations. A phase diagram for
dissolved
oxygen was constructed as previously described
(
12). FFTs with
a Hanning window were carried out by using
Sigma Plot 2000. The
fundamental was derived from the FFTs and used to
calculate the
period.
 |
RESULTS |
After the switch to continuous culture oscillatory dynamics
remained robust for months. Normally, the periods remained between 40 and 50 min; however, during transitions amplitudes were unstable until
a new stable oscillatory state had been achieved.
Analysis of oscillation.
Oscillation was allowed to stabilize
for 24 h and then was analyzed to determine the period, waveform,
and power spectrum. The dissolved oxygen output was the most accessible
output from the oscillator and was characterized (Fig.
1A) by repetitive cyclic switching
between phases of high respiration (low dissolved
O2 content) and phases of low respiration (high
dissolved O2 content). The period at
30°C was 43.9 ± 1.6 min. When the phase diagram was constructed
(Fig 1B), there were two distinct phases of oscillation. A period of
low respiration lasting from 0° to 100° (158 µM dissolved oxygen)
preceded a rapid increase in respiration between 100° and 150° (158 to 75 µM dissolved oxygen). This period continued until 260°, when
respiration decreased rapidly (160 µM dissolved oxygen). FFT analysis
(Fig. 1C) revealed a periodicity of 42.7 ± 2.6 min and seven
additional subharmonic peaks that correspond to one-half, one-third,
one-fourth, one-fifth, one-sixth, one-seventh, and one-eighth of the
dominant cycle.

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FIG. 1.
Analysis of the ultradian clock of S.
cerevisiae grown continuously in glucose medium at 30°C. (A)
Oscillation observed for dissolved O2 concentration. The
vertical dotted lines indicate peak maxima calculated by the Period
Analyzer software. (B) Phase diagram of dissolved O2
concentrations. (C) Power spectrum of the dissolved O2
concentrations.
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|
Temperature compensation.
The effects of temperature changes
on the ultradian oscillation that occurred during continuous growth on
glucose semidefined medium were analyzed (Fig.
2). Stable respiratory oscillation occurred at temperatures between 27 and 34°C. Between these two temperatures, periodicity and waveform were not affected by temperature changes. The periods derived by using the Period Analyzer software and
from FFT are shown in Fig. 2A. Data for points at which sustained oscillation occurred were analyzed by using linear regression, and the
resulting fit produced almost horizontal fits with most of the points
in the 95% confidence interval. Q10 values were derived from the linear regression fit of the data and were 1.06 ± 0.22 for the Period Analyzer data and 1.02 ± 0.15 for periods derived by FFT. The cell dry weight (Fig. 2B) during this period remained relatively unchanged (8.6 ± 0.5 g
dm
3). Oscillation amplitudes during the
temperature shifts peaked at 30°C, and lower-amplitude oscillations
were observed on the fringes of the temperature range where sustained
oscillation occurred.

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FIG. 2.
Influence of temperature on clock periodicity,
amplitude, and cell dry weight during yeast continuous culture in
glucose medium. (A) Periods ( ) calculated by Period Analyzer ( )
and FFT analysis ( ). The solid lines indicate linear regressions of
the data when stable oscillation occurred, and the dashed lines
indicate the 95% confidence levels of the fits. (B) Amplitude ( )
and cell dry weight ( ) during the experiments. The data points for
26 and 35°C are shown for reference purposes only and were not
included in any calculations because oscillation was unstable at these
temperatures.
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FIG. 3.
Respiratory dynamics in yeast continuous cultures grown
in glucose medium at 26, 27, 34, and 35°C: dissolved oxygen
concentrations during stable oscillation at 27 and 34°C and FFT
analysis for the cycles that occurred transiently after the temperature
was shifted from 27 to 26°C and from 34 to 35°C.
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|
Figure
3 shows the oscillation profiles produced at the minimum
and maximum temperatures at which stable oscillation occurred
(27 and
34°C, respectively) and the unstable dynamic events that
occurred
after the temperature was changed to values that caused
unstable
oscillation (26 and 35°C). After exposure to 26 and 35°C
oscillation was reinitiated by changing the temperature to 30°C.
Similar results were obtained for the oscillation observed during
continuous growth on ethanol medium (Fig
4). The Q
10 in
the
temperature range that produced stable oscillation (period
= 45.3 ± 2.5 min) was 0.82 ± 0.33, as determined by the
Period
Analyzer software. However, the oscillation amplitude increased
when the temperature was increased. The differences in
Q
10 and
the amplitude changes that occurred as
the temperature increased
may have been due to increased ethanol
evaporation rates at higher
temperatures. The cell dry weight remained
constant (5.4 ± 0.4
g dm
3),
indicating that cell density was not an important factor for
the
maintenance of stable oscillation (the cell dry weight when
cells were
grown on glucose medium was 8.6 ± 0.5 g
dm
3).

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FIG. 4.
Influence of temperature shifts on the ultradian
respiratory clock in a continuous aerobic S. cerevisiae
culture grown in ethanol medium. Dissolved O2 concentration
and temperature (T) were measured continuously on line.
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|
Nutrient feed rate compensation.
It is difficult to accurately
measure the dilution rate during continuous culture because of problems
with vessel level control; therefore, the errors can be substantial
(3). The effects of stepwise changes in the dilution rate
on the period of ultradian oscillation are shown in Fig.
5A. Cell dry weight (8.1 ± 0.4 g dm
3) was not affected by the changes in
dilution rate (Fig. 5B). Stable oscillation occurred at dilution rates
between 0.065 and 0.109 h
1 (i.e., when the
dilution rate increased by a factor of 1.68). The values obtained are
equivalent to a decrease in cell doubling time from 15.4 to 9.1 h.
During the changes in dilution rate, periodicity decreased by a factor
of 1.26 (as determined by a linear regression analysis), showing that
oscillation had a degree of nutrient compensation (Fig 5A). The
amplitude of oscillation decreased from ~80.15 µM at a dilution
rate of 0.065 h
1 to ~48.92 µM at a dilution
rate of 0.109 h
1 (Fig. 5B). The decline in
amplitude (a factor of 1.64) was similar to the increase in the
dilution rate (a factor of 1.68), indicating that oscillation amplitude
may be related to growth and that to a limited extent the oscillation
was nutrient feed rate compensated.

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FIG. 5.
Influence of dilution rate on clock periodicity,
amplitude, and cell dry weight for a yeast continuous culture grown in
glucose medium. (A) Periods ( ) were calculated with Period Analyzer
software. The solid line indicates linear regression of the data when
stable oscillation occurred, and the dashed lines indicate the 95%
confidence levels of the fit. (B) Amplitude ( ) and cell dry weight
( ) during the experiments. The data points for dilution rates of
0.05 and 0.125 h 1 are shown for reference purposes only
and were not included in any calculations because oscillation was
unstable at these dilution rates.
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|
Figure
6 shows the oscillations in
dissolved oxygen concentrations for the dilution rates at the limits of
the range of values
at which stable oscillation occurred (0.065 and
0.109 h
1) and for two dilution rates at which
stable oscillation did not
occur (0.05 and 0.125 h
1). The dissolved oxygen profile began a large
series of unstable-period
cycles that may have been related to cell
cycle synchrony. Although
oscillation was stable at a dilution rate of
0.109 h
1, irregularities in amplitude began to
occur. Once the dilution
rate was changed to 0.125 h
1, the periodicity quickly decreased to
24.0 ± 3.0 min, and the
amplitude became unstable. However, the
oscillation was found
to be sustainable.

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FIG. 6.
Respiratory dynamics in yeast continuous cultures at
dilution rates of 0.05, 0.065, 0.109, and 0.125 h 1:
dissolved oxygen concentrations during stable oscillations at dilution
rates of 0.065 and 0.109 h 1 and cycles that occurred
transiently after the dilution rate was shifted from 0.065 to 0.047 h 1 and from 0.109 to 0.125 h 1.
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 |
DISCUSSION |
The results presented here clearly show that the ultradian
oscillation in respiration is temperature compensated
(Q10 = 1.02). The oscillation is also very robust
and can be maintained for many weeks. This indicates that the
respiratory oscillation is an output that is closely coupled to an
ultradian clock. Biochemical control points that influence the
regulation and synchronization of oscillation are located in the
ethanol assimilation pathway (12), the glutathione redox
cycling pathway(22), the sulfate assimilation pathway
(28), and the mitochondrial respiratory chain (23,
29). However, none of these biochemical pathways alone can
explain the temperature compensation of the cyclic metabolic and
respiratory switching. Therefore, the temperature-compensated oscillating loop(s) must tightly regulate these metabolic events to
generate the respiratory output observed.
The mode of oscillation changes significantly after small deviations
from the stable oscillation temperature range. The metabolic synchronization of the population is probably mediated by an
H2S (29)-acetaldehyde
(12) dual synchronization mechanism. Both of these
volatile compounds are produced by temperature-dependent biochemical
reactions in individual cells. It seems likely that the rapid changes
in oscillatory mode or the cessation of oscillation is due to loss of
phase locking between individuals rather than a direct effect of
temperature on the central oscillating loop.
Further work should involve dissecting the clock from its driven
outputs, e.g., by constructing mutant strains that have abnormal cycle
times or arrhythmic behavior, as has been achieved with systems used to
study circadian behavior. Knockout targets include the putative
S. cerevisiae clock gene GTS1 (38), which has
partial homology with the circadian clock genes PER and FRQ. A Gts1
protein mutant shows pleiotropic effects, including reduced heat
tolerance (36), defective sporulation; and reduced life
span; however no clock function could be assigned to this gene
(37). Interestingly, GTS1 deletion mutants exhibit a
halving of the periodicity of oscillation in continuous cultures in
which the cell cycle shows synchrony (35). Other targets
include the four uncharacterized PAS domain-containing proteins as
these domains play an important role in O2
sensing, in redox switching (33), and in clock mechanisms (6). PAS domains within proteins cause dimerization
reactions, which are thought to be especially relevant to temperature
compensation of period; i.e., point mutations of these domains cause
temperature sensitivity in the Drosophila circadian clock
(8). Other hypothetical mechanisms that could give rise to
temperature compensation have been summarized recently
(26).
Oscillation has a degree of nutrient feed rate compensation during
growth on glucose medium at dilution rates between 0.065 and 0.109 h
1. However, in experiments in which the
nutrient supply profile was altered, changes in periodicity were
observed. For example, when acetaldehyde was used as the sole carbon
source (12), the period of the respiratory output
increased to 90 min, and when the sulfate concentration of the medium
was reduced (28), periods of as little as 33 min were
observed. One possible explanation for the nutrient tuning of
periodicity may be the involvement of medium components in population
synchrony; i.e., the extracellular environment tunes the timer to a
different frequency. Unlike the clocks observed in metazoans and
Neurospora crassa, those of S. cerevisiae can be
studied under a diverse range of conditions; therefore, the system
described here would be ideally suited to a study of how nutrients and
growth phase interact with temperature-compensated systems.
The ultradian clock is not regulated by the cell cycle (12-14,
22, 23, 27), but it is very likely that, as with other unicellular ultradian clocks (20), there is cross-talk
between the systems. Such dynamic interactions between growth rate and respirofermentative metabolism have been observed in S. cerevisiae continuous cultures (5). Interestingly,
when the data from a cDNA microarray experiment in which the cell cycle
was synchronized to 80 min (30) was reexamined by discrete
wavelet transform analysis, oscillation of gene expression with a
period of 30 to 40 min (18) was observed. It is plausible
that the oscillators are the same. Work is under way and planned to
analyze the transcriptome, proteome, and metabolome during oscillatory
dynamics to address such questions.
Assigning a function to the clock is difficult, as there seems to be no
necessity for a global signaling effect, such as the day-night changes
of circadian systems. It is plausible that the ultradian clock may
control a frequency generator for an extracellular sampling mechanism
(analogous to a sample rate for digital sound systems). Alternatively,
there may be a need for temporal partitioning of incompatible metabolic
processes; e.g., the circadian clock partitions photosynthesis and
nitrate assimilation in the cyanobacteria Synechococcus spp.
(9).
This is the first description of an ultradian clock in the eukaryotic
model organism S. cerevisiae. The use of S. cerevisiae for elucidation of ultradian clock and temperature
compensation mechanisms has numerous advantages over other systems, not
the least of which is the detailed biochemical, physiological,
structural, and genetic information available for this organism.
Mechanisms of temperature compensation and global control of metabolism
can be easily elucidated, because the period of this ultradian clock is
around 40 min; therefore, this clock is much more conveniently studied
than the longer-period circadian clock. The population can be simply
and precisely controlled or perturbed during continuous culture.
Whereas studies of clock outputs and function have relied on discrete
time samples with S. pombe (17), the
noninvasive robust continuous readout methods available for continuous
culture (13, 22) provide high-quality data with a high
signal-to-noise ratio.
 |
ACKNOWLEDGMENTS |
We thank T. Hope and S. Jones for providing their mechanical
expertise and for modifying the fermentor at South Bank University. M. Sakamoto and T. Higami assisted with fermentation work at NIBH. R. R. Klevecz critically reviewed the manuscript.
D.B.M. was supported by a South Bank University internal research
fellowship and by a Return Royal Society STA (Japan) fellowship.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: School of
Applied Science, South Bank University, 103 Borough Road, London SE1
0AA, United Kingdom. Phone: 020 7815 7985. Fax: 020 7815 7999. E-mail: murraydb{at}sbu.ac.uk.
 |
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Journal of Bacteriology, December 2001, p. 7253-7259, Vol. 183, No. 24
0021-9193/01/$04.00+0 DOI: 10.1128/JB.183.24.7253-7259.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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