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Applied and Environmental Microbiology, December 2000, p. 5186-5191, Vol. 66, No. 12
0099-2240/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Behavioral Responses of Rhodobacter
sphaeroides to Linear Gradients of the Nutrients Succinate
and Acetate
Helen L.
Packer* and
Judith P.
Armitage
Microbiology Unit, Department of
Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom
Received 4 August 2000/Accepted 24 September 2000
 |
ABSTRACT |
Rhodobacter sphaeroides cells were tethered by their
flagella and subjected to increasing and decreasing nutrient gradients. Using motion analysis, changes in flagellar motor rotation were measured and the responses of the cells to the chemotactic gradients were determined. The steepness and concentration ranges of increasing and decreasing gradients were varied, and the bacterial responses were
measured. This allowed the limits of gradients that would invoke
changes in flagellar behavior to be determined and thus predicts the
nature of gradients that would evoke chemotaxis in the environment. The
sensory threshold was measured at 30 nM, and the response showed
saturation at 150 µM. The study determined that cells detected and
responded to changing concentration rates as low as 1 nM/s for acetate
and 5 nM/s for succinate. The complex sensory system of R. sphaeroides responded to both increasing and decreasing
concentration gradients of attractant with different sensitivities. In
addition, transition phases involving changes in the motor speed and
the smoothness of motor rotation were found.
 |
INTRODUCTION |
The bacterial environment is subject
to constant change. Environmental factors such as nutrient
concentrations, light levels, oxygen concentration, pH, and the
presence of toxins all vary over time. These changes are sensed by
motile bacteria, which respond by moving along concentration gradients
towards optimum conditions for growth, a process known as taxis. The
means of locomotion used by motile bacteria does vary, but most species use flagellum-driven motility. The bacterial flagellum is a semirigid helical filament driven at its base by a rotary motor (reviewed recently in reference 2). Unstimulated bacteria (a
condition unlikely to exist outside the laboratory) swim randomly
around their environment, periodically changing direction. Bacteria
sense changes in their environment with time (temporal sensing), as they are too small to sense spatial difference. This means that they
must compare the current environmental status with previous measurements. When a gradient of attractant is sensed, their
direction-changing frequency alters to bias swimming up the gradient.
The mechanism of direction changing varies between species and is
controlled by the bacterial chemotaxis signal transduction (Che) pathway.
Chemotaxis has been extensively studied in Escherichia coli.
In this organism counterclockwise rotation causes smooth swimming, and
switching to clockwise rotation causes a tumble and a change in the
subsequent direction of smooth swimming. The Che pathway controlling
this switching in E. coli is well understood (1, 14). Membrane-spanning methyl-accepting chemotaxis proteins (MCPs) sense a decrease in the concentration of attractant in the
periplasm (15). The MCPs transmit a signal via CheW, which interacts with the cytoplasmic domain of the MCP, to activate CheA, a
histidine protein kinase. CheA autophosphorylates, and the phosphate
group is then transferred to the response regulator, CheY, which
interacts with the flagellar motor. The concentration of CheY-P
determines whether the motors rotate counterclockwise or clockwise. The
CheY-P signal is terminated by CheZ increasing the rate of
autodephosphorylation. CheA also controls the activity of a methyl
esterase, CheB, which is involved, along with a constitutive methyltransferase, CheR, in resetting the signaling state of the receptors.
Although there does appear to be a common central Che-type pathway for
chemotaxis in most bacterial species, the pathway in E. coli
appears to be one of the least complex. Experimental studies and
genomic sequences show that many organisms, including a large number of
environmentally important species, e.g., Pseudomonas aeruginosa, Rhodopseudomonas palustris, and
Sinorhizobium meliloti (www.tigr.org), have multiple
homologues of the Che proteins and multiple chemotaxis operons. This
includes Rhodobacter sphaeroides, the organism used in this
study (1).
R. sphaeroides is a purple nonsulfur bacterium with a
single, unidirectional flagellum that rotates clockwise to propel the cell forwards. The motor stops periodically, during which time direction changing occurs. It has multiple che homologues of
the E. coli che genes. To date two CheA, three CheW, two
CheR, one CheB, and five CheY homologues have been identified, with up
to 12 MCP-like sensors (1, 9, 23, 24, 27, 28). The che genes and some of the sensors are arranged on three
chemotaxis loci, two of which are arranged as large operons, with
copies of most genes encoding a single chemosensory pathway. Deletion of Che operon 1 results in very minor changes in response to
chemoeffectors (27); however, deletion of Che operon 2 results in an inverted phenotype, where cells show a negative response
to chemoattractant addition. This does not allow swarming on gradient
plates (9, 24). CheZ is absent in many nonenteric species,
including R. sphaeroides. There is evidence that some of the
CheY homologues can act as phosphate sinks, terminating the signal to
the flagellar motor and thus replacing the function of CheZ
(25).
Probably related to having a complex sensory pathway, the behavioral
responses of R. sphaeroides are also somewhat different from
those of E. coli. R. sphaeroides responds
chemotactically to metabolites, and the strongest attractants are weak
organic acids, which are important substrates for this organism. Tactic responses to sugars, amino acids, oxygen, and light are also found. Taxis to the organic acids, sugars, and amino acids requires at least
transport into the cell and probably partial metabolism (11, 13,
20). The sensors in R. sphaeroides also differ. Most
of them have the conventional E. coli structure, but others are totally cytoplasmic. Indeed, immunogold labeling electron microscopy and tagging with green fluorescent protein have shown that
some MCPs are localized to the poles of the cell, while others localize
to the core of the cell (10, 26). These internal sensors may
be involved in chemotactic signaling towards metabolites derived from
transported chemoeffectors. R. sphaeroides cells have a run
bias, i.e., the probability that the flagellar motor is rotating, of
approximately 0.85 (6, 16, 17, 18). The major response is an
increase in smooth rotation on the addition of an attractant and a stop
(i.e., a direction change) on removal of the attractant or a decrease
in light level or oxygen concentration. This biases the cell up a
gradient (18). However, when wild-type R. sphaeroides is grown aerobically it also shows an inverted response (a stop in response to an increase in stimuli) to the increase
in concentration of some chemoeffectors (e.g., succinate and malate)
but not others (e.g., propionate) (17), suggesting a complex
interplay of pathways linked to the current metabolic status of the cells.
Temporal sensing has been investigated in R. sphaeroides
using tethered cells and stepwise changes in the concentration of chemoeffector, oxygen level, and light level (17, 18, 22). Large, saturating, step stimuli (>500 µM) gave rapid responses and
recoveries taking several minutes; however, free-swimming R. sphaeroides can rapidly respond to gradients generated from 250 nM
chemoeffector in agarose blocks. Investigation of the photoresponse in
R. sphaeroides determined that subsaturating step and
impulse responses to light stimuli were of the same duration, i.e.,
response and recovery within 4 s, similar to those of E. coli to subsaturating changes in chemoeffector concentration
(6, 7).
Temporal step changes in chemoeffector concentration are a useful means
of investigating the sensory system, but cells in the environment must
also be able to sense and respond to relatively stable sensory
gradients. Previous studies on E. coli have used free-swimming cells in gradients, but the interpretation of their responses is very complex, as the environment was not uniform and could
not be fully defined. Block et al. (8) tethered cells and
subjected them to exponential ramps in chemical concentration. These
data showed that the change in bias of the motor was dependent upon the
rate of change of chemoreceptor occupancy.
In this study the nature of the chemotactic response of R. sphaeroides to gradients of chemoeffectors is described, with the aim of elucidating and predicting the gradients to which cells will
respond in natural environments. This will allow the data from complex
sensory pathways to be interpreted in a more physiological context. It
is also the first study to investigate the performance of a complex
sensory system in real gradients and thus to quantify the concentration
range, the kinetics, the thresholds of response, and the nature of the
response itself.
 |
MATERIALS AND METHODS |
Growth conditions.
R. sphaeroides WS8 (wild type)
was grown aerobically with shaking to mid-log phase (approximately
2 × 108 cells/ml) in succinate medium in the dark at
30°C as previously described (17). The cells were
harvested by centrifugation and resuspended at a 10-fold concentration
into 10 mM Na HEPES (pH 7.2) buffer containing 50 µg of
chloramphenicol per ml.
Tethering and gradient production.
For tethering, 5 µl of
cells was placed on a glass coverslip precoated with R. sphaeroides antiflagellar antibody, incubated for 10 min, and
loaded into a flow chamber (5, 18). Cells were starved for
30 min by flowing past 10 mM Na HEPES (pH 7.2) buffer containing 50 µg of chloramphenicol per ml. This buffer was used as a background
throughout the experiments. The attractants were added as sodium salts,
as R. sphaeroides shows no behavioral response to sodium
ions. The cell preparation, tethering, and experiments were conducted
at room temperature.
Gradients were made with a gradient maker, using the principle of
gradient formation used for centrifugation. Liquid was pumped from one
of two identical, connected cylinders and replaced by fluid in the
other cylinder so that both cylinders had the same volume and column
height. When different concentrations of effector were placed in the
columns, a gradient formed as the liquid was pumped out through the
flow chamber. The system was calibrated by placing methylene blue into
cylinder 1 (at 0.25 mg/ml in Na HEPES) and Na HEPES in cylinder 2. The
flow chamber was placed inside a spectrophotometer, the window was
aligned with the light source and detector, and measurements of optical
density at 600 nm were made over time. The optical density at 600 nm
was calibrated against known concentrations of methylene blue. The
gradients produced were smooth and linear.
Motion analysis.
The tethered cells were viewed using a
phase-contrast microscope (Optiphot microscope, Nikon Ltd., Tokyo,
Japan) with an attached video camera (HYPER HAD; Sony Corp., Tokyo,
Japan). Measurement of cell rotation was done using AROT7 software on a
Bactracker (HTS Ltd., Sheffield, United Kingdom). The software analyzes
up to 10 cells per field. Cells that were rotating without touching others were measured. Data points were taken at the video frame rate
(50 Hz for interlaced images), and the raw data were downloaded as
ASCII files for analysis. The raw data and data smoothed over 0.2-s
intervals were analyzed. The probability of each individual cell being
stopped was determined, and then the mean stop probability for the
population was calculated for populations of at least 10 cells. Cells
rotating at speeds of below 1.5 Hz were regarded as stopped. All
experiments were repeated for at least three cell populations.
 |
RESULTS |
Gradients up to saturation.
Gradient responses to two
chemoattractants, acetate and succinate, were measured, as these elicit
different responses in chemoheterotrophically grown cells when given as
stepwise changes in concentration (17). The stepwise
addition of acetate gives an increase in smooth rotation with an
apparent speed change, and removal causes a stop followed by
adaptation, i.e., a return to prestimulus behavior. The addition of
succinate gives an inverted response, i.e., a stop followed by adaptation.
Gradients were constructed to give a change in concentration of about 1 µM/s, as this is considered typical of the concentration
range that
cells may encounter in the natural environment. Smooth
linear shallow
gradients were used to mimic natural conditions.
The attractant
gradients were designed to run from 0 to 1 mM and
vice versa, exposing
the cells to a range of concentrations from
nonstimulating through
subsaturating to saturating. Concentrations
of 1 mM have been found to
saturate responses in tethered cells
when increases were
stepwise.
(i) Increasing succinate concentration gradients.
Increasing
succinate gradients were passed through the flow chamber in the 0 to 1 mM concentration range. The behavior of cells in a gradient of
succinate increasing at a rate of 1 µM/s from 0 to 1 mM had three
phases: a predominantly stopped phase, a period of increased stop bias
with slow rotation, and a phase of smooth rapid rotation (Fig.
1). The stopped phase in the example shown in Fig. 1 occurred at a threshold concentration of 33.4 µM,
38 s after the gradient flow had started, and lasted for about 30 s (over a 60 µM concentration change) with a stop bias of
0.42. However, unlike a response to a stepwise increase in
concentration where the whole population was completely stopped, the
population continued to have brief unsynchronized periods of slow
rotation. During this phase, a typical cell was stopped for 85% of the
time with 1- to 2-s runs at speeds up to 5 Hz. This suggests that the response was subsaturating, with the concentration of motor-interacting CheY-P below that required for the total stop, which would occur with a
saturated response.

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FIG. 1.
Response of tethered cells of R. sphaeroides
WS8 to a gradient of succinate increasing at a rate of 0.9 µM/s. The
graphs show the concentration of succinate (A), the mean stop
probability of a population of 10 cells (B), and the rotation rate of a
typical cell (C) versus time.
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|
After the predominantly stopped period, the cells went through 124 s of decreasing stop bias, from 0.42 to 0.05, and increasing
rotation
rate (Fig.
1), with the speed changing from 0 (stopped)
to 9.5 Hz,
until 169 s after the gradient started, at 148 µM,
the cell
population began a phase of smooth rapid rotation with
a stop bias of
less than 0.1 and a mean rotation rate of 8.52
± 2.4. This
concentration, about 150 µM, is presumably the saturation
point for
an increasing concentration
gradient.
The increasing succinate gradient was continued to a final
concentration of 1 mM, and the cells continued to rotate smoothly,
showing no adaptation. This phenomenon has been previously seen
in
free-swimming cells of
R. sphaeroides and has been termed
chemokinesis
due to the observed increase in swimming speed of
free-swimming
cells (
16,
21).
(ii) Decreasing succinate concentration gradient.
Succinate (1 mM) was flowed through the chamber for 20 min before the start of the
experiment. The concentration of succinate was decreased at a rate of
0.9 µM/s from 1 to 0 mM. Initially the mean stop bias of the cell
population was 0.38, but the reduction in succinate concentration
decreased the stop bias of the population of cells to 0.15 over
150 s (Fig. 2). Analysis of
individual cell data showed very little change in rotation rate at
succinate concentrations of below 870 µM, with a mean population
rotation rate of 4.6 ± 0.8 Hz. After this the cells rotated
slightly faster, at 6.4 ± 0.7 Hz. The long, smooth runs which
occurred when the gradient of succinate was increasing (Fig. 1) were
absent (Fig. 2). Tethered cells of aerobic R. sphaeroides
also show little response to a step decrease in succinate
(17), indicating that the system is less sensitive to
decreases of this attractant than to increases.

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FIG. 2.
Response of tethered cells of R. sphaeroides
WS8 to a gradient of succinate decreasing at a rate of 0.9 µM/s. The
graphs show the concentration of succinate (A), the mean stop
probability of a population of 10 cells (B), and the rotation rate of a
typical cell (C) versus time.
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|
(iii) Increasing acetate concentration gradients.
The response
to an increasing gradient of Na acetate is shown in Fig.
3. The increasing concentration elicited
a change in rotational behavior from unstimulated behavior in two
phases: a period of change with increasing rotation rate and decreasing stop bias and a second phase of smooth, fast rotation. In the gradient
the acetate concentration was increasing at a rate of 0.8 µM/s from 0 to 1 mM. The phase of sensing and alteration of rotational behavior
began 60 s after the gradient was initiated, at a concentration of
about 46 µM, and the cells continued to increase their rate of
rotation for 149 s before the response appeared to be at a maximum
(115 µM). The stop probability changed from 0.6 to 0.25. Reduced
stopping and smooth, fast rotation were maintained until about 1,115 s,
when the stop bias increased to 0.7. This indicated that the response
had saturated at 335 µM and the cells had adapted to the saturating
concentration.

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FIG. 3.
Response of tethered cells of R. sphaeroides
WS8 to a gradient of acetate increasing at a rate of 0.9 µM/s. The
graphs show the concentration of acetate (A), the mean stop probability
of a population of 10 cells (B), and the rotation rate of a typical
cell (C) versus time.
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(iv) Decreasing acetate gradients.
The above-described
experiment was conducted with the gradient of acetate decreasing from 1 to 0 mM Na-acetate. There appeared to be only one phase of behavioral
response, as the rotating cell population stopped after 34 s. At
this threshold the concentration of acetate was calculated to be about
958 µM and therefore had decreased by 42 µM from the start of the
experiment (Fig. 4). The population
remained stopped as the concentration gradient continued to decrease.

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FIG. 4.
Response of tethered cells of R. sphaeroides
WS8 to a gradient of acetate decreasing at a rate of 0.9 µM/s. The
graphs show the concentration of acetate (A), the mean stop probability
of a population of 10 cells (B), and the rotation rate of a typical
cell (C) versus time.
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Determining the threshold of the sensory response.
To
determine the sensory thresholds of R. sphaeroides, linear
increasing concentration gradients were flowed over tethered cells at
reducing rates to reduce the steepness of the gradient until the cells
no longer gave a measurable response. A series of gradients were
designed around the range shown to cause responses in the
above-described experiments. Linear gradients of increasing rates of
concentration of Na-succinate from 1 to 6 nM/s were flowed past
tethered cells. Rates of increase from 1 to 4 nM/s did not elicit a
detectable response at low concentrations; however, a rate of increase
of 5 nM/s did elicit a clear response. The response was an increase in
the stop probability from 0.35 to 0.6 at 133 s (Fig.
5). The presence of this rapid response
was confirmed by visual observation of the cells, and during this
period the cell population was predominantly stopped, with occasional
brief runs.

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FIG. 5.
Response of tethered cells of R. sphaeroides
WS8 to a gradient of succinate with increasing at a rate of 5 nM/s. The
graphs show the concentration of succinate (A), the mean stop
probability of a population of 10 cells (B), and the rotation rate of a
typical cell (C) versus time.
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At subsaturating levels, the stop response of the cells was not
synchronized within the population. Although all cells in
the
population showed a period of increased stop bias, the actual
stops
were not synchronized, giving only small increases in the
population
stop bias (0.2), unlike the response to saturating
levels, where there
was a total stop and thus a large stop bias.
The threshold of the
response was between 30 and 50 nM, depending
upon the individual cells.
The individual stops lasted 2 to 5
s, measured from the time of
the cell slowing down to the time
of returning to its original rotation
rate. The intervals of rotation
between the stops were also short,
suggesting that the refractory
period of the cell population ranged
from three video frames (0.06
s and a 5 to 10 nM change in
concentration) to several seconds.
The response times and kinetics of
the system match the sensory
times found for
E. coli, which
integrates stimuli over a few seconds,
responding and recovering in
4 s (
6).
The change in stop probability continued for about 50 s (up to 250 nM), when the cells reverted to prestimulus behavior. No
evidence of
increased smooth rotation in these shallow, low concentration
gradients
was found, suggesting that the signal for this response
has a threshold
above 1 µM.
Decreasing gradients of low concentration.
R.
sphaeroides shows its strongest response to attractants which
cause an increase in stop bias as their concentration is decreased
(16, 17). To determine the thresholds of the sensory response to a decreasing concentration gradient, very shallow gradients
of Na-acetate or Na-succinate were flowed past tethered cell
populations. The rate of change of concentration was decreased until
there was no response, thus determining the minimum concentration change to which the cells could respond. The cell population was not
responsive to decreasing low-concentration succinate gradients at flow
rates of up to 0.1 µM/s; however, R. sphaeroides was very sensitive to decreasing acetate gradients.
When an acetate gradient was flowed past at a decreasing rate of 1 nM/s, the cell population responded. The response had three
phases: a
phase where cells had smoother rotation with fewer stops
at the maximum
rotation rate; a second phase where the speed decreased
but the
stopping frequency did not increase, and a final phase
where the cells
stopped
completely.
The gradient was started at an initial concentration of 1 µM
Na-acetate (pH 7.2) in buffer and decreased to 0 µM. Cells incubated
in 1 µM Na-acetate for 30 min had a stop probability of 0.7. Individual
cells responded rapidly to the decreasing gradient with an
increase
in smooth rotation. The first response was 34 s after the
gradient
was initiated, at 967 nM (a decrease of 33 nM) (Fig.
6). Next,
there was the phase of
decreasing speed and increasing stop probability,
down to 506 nM when
the cells began to stop completely, presumably
at a saturating
concentration of CheY-P. The rotation rate of
the cells also decreased
(10 to 0 Hz) as the concentration decreased
(this was seen visually and
confirmed by analysis), with the stop
probability increasing down the
gradient from 0.2 to 1.0. The
records of individual cells showed that
their stopping frequency
remained low during the phase of slowing
rotation, and for most
cells the proportion of time spent stopped did
not increase with
decreasing concentration (Fig.
6). Some cells
gradually reduced
speed into a stop, whereas others stopped abruptly
from rotating
at several hertz. Once the cells had stopped, they did
not recover
as the reduction in concentration continued. Cells
incubated in
buffer alone rotated and stopped randomly; the stopped
response
was therefore not due to starvation.

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FIG. 6.
Response of tethered cells of R. sphaeroides
WS8 to a decreasing subsaturating gradient of acetate with the acetate
concentration decreasing at a rate of 1 nM/s. The graphs show the
concentration of acetate (A), the mean stop probability of a population
of 10 cells (B), and the rotation rate of a typical cell (C) versus
time.
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 |
DISCUSSION |
R. sphaeroides cells tethered by their flagella
responded to shallow linear gradients of chemoeffectors and were
sensitive to concentration gradients in the nanomolar to millimolar
range, i.e., from subsaturating to saturating concentrations. The
minimum concentration gradient to which a response was detected was a 1-nM/s decreasing gradient of acetate, while for an increasing gradient
the minimum was a 5-nM/s change in succinate concentration. Combining
the data from this study with those from previous studies using
stepwise changes in attractant, tethered cells show responses to
changes in attractant concentration ranging from 1 nM to 10 mM, giving
a range of 7 orders of magnitude (16, 17, 18; C. Wood,
D. S. H. Shah, H. L. Packer, and J. P. Armitage,
unpublished observation). A similar broad range of sensitivity has also
been found in E. coli, where cells respond chemotactically
to changes over about 5 orders of magnitude (12). During
this study, the sensory system appeared to be as responsive to high
concentrations as to low, which suggests that it is the concentration
difference that is important rather than the absolute concentration.
The minimum sensory threshold of the behavioral response was found in
the subsaturating range for increasing and decreasing gradients, at
approximately 30 nM, although individual cells responded at between 30 and 50 nM, presumably reflecting their individual metabolic states.
In the experiments described here, the cells were under constant
stimulation, probably reflecting more natural conditions. By titrating
the response we have determined the minimum change that the R. sphaeroides sensory system can sense. It appears that at nanomolar
concentrations it was not the absolute concentration that was important
but the rate of change of effector concentration. Succinate gradients
increasing at rates below 5 nM/s did not elicit a response, even when
the concentration was above the sensory threshold of 30 nM. At these
very low rates of change, presumably the difference in the number of
molecules bound to the chemosensors was not detected over the sensory
period, as the receptor binding kinetics were below the "memory" of
the sensing system. Estimating the volume of R. sphaeroides
to be 0.5 µm3, at 5 nM/s the cell would be exposed to a
change of approximately 1.5 molecules per s, while at the threshold of
30 nM there would be a change of 9 molecules/s, an approximately 14%
difference. At 4 nM/s the cell would be exposed to a change of only 1.2 molecules/s, which appears to be below the rate of change required to
elicit a response (12.3% at 30 nM). The system was more sensitive to decreasing acetate concentrations and was apparently able to sense a
rate of change of as little as 1 nM/s (0.3 molecule/s).
Phases of response.
R. sphaeroides showed
consistent patterns, or phases, of behavior when subjected to changing
gradients. The two main responses seen were the stopping of flagellar
rotation and smooth, fast rotation of the motor. However, there were
also phases of transition between these two states and unstimulated
behavior where different patterns were observed. The size and pattern
of the response depended upon the attractant concentration and the
nature of the attractant. For example, a gradient of increasing
succinate concentration caused an increase in stopping at low
concentrations and a high concentration response (smooth, fast rotation
and a decrease in stopping) as the concentration increased. The
response to shallow low increasing concentrations was absent with
acetate, while the chemosensory system was more responsive to a
decreasing gradient of acetate than to an increasing gradient. This was
the reverse of the case for a gradient of succinate. A similar
phenomenon has been found for wild-type tethered cells in response to
step changes, where, depending upon the chemoattractant and
concentration, inverted or normal responses can occur. Surprisingly,
both responses appear to lead to chemotaxis in free-swimming cell
assays. Studies with che deletion mutants of R. sphaeroides have begun to elucidate the pathway and the proteins
involved in normal and inverted responses. These currently point to Che
operon 1 being involved in inverted responses and Che operon 2, which
seems dominant, being involved in normal responses (24).
This study shows that R. sphaeroides is sensitive to both
increases and decreases in attractant concentration in natural gradients.
Apparent speed change.
It has consistently been reported that
free-swimming (using two- and three-dimensional tracking) and tethered
cells of R. sphaeroides show speed changes (chemokinesis) in
response to the addition of the weak organic acids (4, 16, 18,
19). In this study sustained changes in rotation rate were found
in response to increasing and decreasing concentration gradients. The
chemokinetic phenomenon was absent in shallow gradients, suggesting
that this response has a critical concentration threshold.
In this study, previously undetected phases of transition in response
to both increasing and decreasing gradients of chemoeffector
were
found. There was a transition phase as the concentration
increased,
where the stop bias decreased and the mean speed of
the individual runs
increased; however, the most interesting apparent
speed change was in
response to the subsaturating decreasing gradients
of acetate. Once the
gradient was made progressively shallower,
to a point where the change
over time from population run to stop
was increased and could be
detected, a gradual decrease in the
rate of rotation of the cells was
observed, with rotation being
quite smooth during this
transition.
Recent mutational studies of the
che homologues in
R. sphaeroides, particularly of the five CheY products, suggest that
the
motor is, in default, a smoothly rotating motor with some inherent
stopping (
24). Two of the CheY proteins, when
phosphorylated,
may interact with the motor to produce stops, while the
other
CheY proteins might act as signal terminators or phosphate sinks
(
24). The rotation rates and free-swimming speeds of the
CheY

mutants seem to be the same as those of the wild
type showing
chemokinesis.
This suggests that the speed increase may be a result of the reduction
in the number of CheY-P molecules interacting with
the motor. The
default motor would be smooth and at maximum rotation.
High
concentrations of CheY-P would then result in a stop, and
lower
concentrations would result in a range of speeds between
the two speed
extremes, i.e., stop and maximum speed. There is
also the possibility
that the motor undergoes very brief stops
and pauses which cannot be
detected using video motion analysis,
and their rate of occurrence may
give speed changes; however,
as the motor in default is smooth, these
would be under the control
of the Che system. During the phase of
smooth rotation, the stop
bias is less than the unstimulated stop bias
of 0.25, which suggests
that the levels of CheY-P interacting with the
motor are below
those found during unstimulated behavior and therefore
that autophosphorylation
of CheA is being repressed and the CheY
proteins acting as phosphate
sinks are reducing the level of
motor-interacting CheY-P, causing
smooth, fast
rotation.
Signal input.
For simplicity, the chemotaxis system in
R. sphaeroides has been considered as a system with input
from periplasmic binding sites on MCPs transmitted to the Che pathway;
however, both succinate and acetate require at least transport into the
cell for chemotaxis to occur (3), and while
CheA2 and CheB are known to be involved in chemotaxis to
these compounds, the sensory receptors have not been identified.
R. sphaeroides does have internal chemoreceptors, but
whether one of these acts directly as a receptor for succinate, acetate, or a metabolic product is not known, and if indeed it does,
the concentration kinetics for transmitting the signal and the
methylation-demethylation cycle may be different from those of a
classical MCP.
The response of
R. sphaeroides to linear gradients has
indicated that the system has some similarities to the
E. coli system,
such as response times and sensing range, but also
has many differences.
R. sphaeroides is able to sense,
respond, and adapt to stimuli
within the time scales known to be
required for bacterial chemotaxis.
The system is complex, however,
allowing responses to both decreasing
and increasing attractant
gradients but with different levels
of sensitivity. How these signals
are balanced to produce accumulation
of cells in a gradient is not
presently understood and is under
investigation. Studies of this nature
on bacterial species found
in natural environments will help to
elucidate the type of gradients
to which they will respond and the role
of chemotactic behavior
in the
environment.
 |
ACKNOWLEDGMENTS |
We thank the NERC and the BBSRC for their support. HLP is an NERC
Advanced Research Fellow.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Microbiology
Unit, Department of Biochemistry, University of Oxford, South Parks
Rd., Oxford OX1 3QU, United Kingdom. Phone: 44 1865 275798. Fax: 44 1865 275297. E-mail: packer{at}bioch.ox.ac.uk.
 |
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Applied and Environmental Microbiology, December 2000, p. 5186-5191, Vol. 66, No. 12
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