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Applied and Environmental Microbiology, May 2000, p. 2037-2044, Vol. 66, No. 5
0099-2240/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
Physiological Responses to Starvation in the Marine Oligotrophic
Ultramicrobacterium Sphingomonas sp. Strain RB2256
Fitri
Fegatella and
Ricardo
Cavicchioli*
School of Microbiology and Immunology, The
University of New South Wales, Sydney, 2052 UNSW, Australia
Received 28 December 1999/Accepted 28 February 2000
 |
ABSTRACT |
Sphingomonas sp. strain RB2256 is representative of the
ultramicrobacteria that proliferate in oligotrophic marine waters. While this class of bacteria is well adapted for growth with low concentrations of nutrients, their ability to respond to complete nutrient deprivation has not previously been investigated. In this
study, we examined two-dimensional protein profiles for logarithmic and
stationary-phase cells and found that protein spot intensity was
regulated by up to 70-fold. A total of 72 and 177 spots showed increased or decreased intensity, respectively, by at least
twofold during starvation. The large number of protein spots (1,500)
relative to the small genome size (ca. 1.5 Mb) indicates that gene
expression may involve co- and posttranslational modifications of
proteins. Rates of protein and RNA synthesis were examined throughout
the growth phase and up to 7 days of starvation and revealed that synthesis was highly regulated. Rates of protein synthesis and cellular
protein content were compared to ribosome content, demonstrating that
ribosome synthesis was not directly linked to protein synthesis and
that the function of ribosomes may not be limited to translation. By
comparing the genetic capacity and physiological responses to
starvation of RB2256 to those of the copiotrophic marine bacterium Vibrio angustum S14 (J. Ostling, L. Holmquist, and S. Kjelleberg, J. Bacteriol. 178:4901-4908, 1996), the
characteristics of a distinct starvation response were defined for
Sphingomonas strain RB2256. The capacity of this
ultramicrobacterium to respond to starvation is discussed in terms of
the ecological relevance of complete nutrient deprivation in an
oligotrophic marine environment. These studies provide the first
evidence that marine oligotrophic ultramicrobacteria may be expected to
include a starvation response and the capacity for a high degree of
gene regulation.
 |
INTRODUCTION |
Most natural aquatic and terrestrial
environments are nutrient limited and, as a result, a major portion of
the biosphere exists as oligotrophic (nutrient-depleted) habitats
(22, 32). Of all the environments on Earth, however, the
ocean has the highest cellular production rate (36). The
number of prokaryotes in the ocean is estimated to be 1.2 × 1029 (36) and is mainly due to the growth of
oligotrophic, extremely small bacteria (i.e., ultramicrobacteria), a
unique class of marine bacteria that proliferate by growing slowly,
even at nanomolar concentrations of growth substrates (reviewed in
reference 32).
Although ultramicrobacteria represent the ocean's main bacterial
component in terms of both activity and biomass (32) and although they also predominate in soil ecosystems (19),
their physiology has remained largely uncharacterized (19).
The lack of knowledge largely relates to the difficulty in isolating
them from the environment. In 1990, an important breakthrough was made with the isolation of the ultramicrobacterium
Sphingomonas sp. strain RB2256 (herein referred to as
RB2256) from Resurrection Bay, Alaska (6, 29). At the time
of isolation, it was a numerically dominant bacterium. Morphologically
(29) and phylogenetically (M. Vancanneyt, F. Schut, C. Snauwaert, J. Goris, J. Swings, and J. C. Gottschal, submitted
for publication) related bacteria have also been isolated as dominant
species from the North Sea, and two years after initial isolation,
RB2256 was again isolated as one of the dominant species in
Resurrection Bay (M. Vancanneyt et al., submitted). Recently, a
phylogenetically related strain was also isolated from waters near
Japan (M. Eguchi et al., unpublished data).
Characteristics that define RB2256 as a typical or model oligotrophic
ultramicrobacterium (15, 18, 32, 33) include a constant
ultramicrosize (<0.1 µm3), irrespective of whether it is
growing or starved; a mechanism for avoiding predation (ultramicro
size), a relatively slow maximum specific growth rate (<0.2
h
1); the ability to utilize low concentrations of
nutrients; high-affinity, broad-specificity uptake systems; and the
ability to simultaneously take up mixed substrates (8, 10,
29-31). Based on the Michaelis-Menten constant for substrate
transport (Kt) and the available concentrations of mixed amino acids in the ocean, RB2256 is predicted to have an in
situ doubling time of 12 h to 3 days (6, 29). As the average doubling time for microorganisms in oligotrophic waters is
estimated to be 5 to 15 days (14), RB2256 is likely to be a
significant contributor to biomass turnover in oligotrophic ocean waters.
A fundamental characteristic that distinguishes RB2256 from typical
copiotrophic bacteria is the capacity for copiotrophic bacteria to grow
rapidly in the presence of high concentrations of nutrients and to
undergo reductive cell division to form resting-stage cells when
exposed to nutrient deprivation (22, 34). This may be
referred to as a feast-and-famine response. As RB2256 is well suited
for growth in low concentrations of nutrients, it may be expected that
it would rarely encounter nutrient levels that would cause starvation,
and as a result it may not have the genetic potential to respond to
complete nutrient deprivation in the same way as copiotrophic bacteria.
The potential for RB2256 to starve may, however, be considered in terms
of the total bacterial carbon content versus the amount of carbon
available for microbial assimilation. Bacterial growth in the subarctic
Pacific Ocean is limited by carbon (20), and approximately 1 to 10% of dissolved organic carbon (DOC) is available for microbial
assimilation (22). This mainly consists of dissolved free
amino acids and carbohydrates. The greatest proportion of bioavailable
carbon in these oligotrophic waters consists of dissolved free amino
acids at a concentration of 3 to 191 nM (9, 23) or 0.1 to
8.8 µg of C liter
1 (based on 110 as the average
molecular weight for an amino acid and a ratio of 25/60 for conversion
to carbon). Assuming an average bacterial cell carbon content of
5.6 × 10
13 g of C µm
3
(4) and an average cell volume of RB2256 of 0.05 µm3 (10), the carbon content is 28 fg of C
cell
1. At the upper limit of bioavailable amino acids
(8.8 µg of C liter
1), the cell yield is 3 × 105 cells ml
1. As RB2256 was isolated from a
106-fold dilution series of seawater from Resurrection Bay
in which the standing bacterial population was approximately 2 × 105 cells ml
1 (32), this would
indicate that the cells were likely to be starving at the time of
sampling. There are possible limitations associated with this analysis,
including uncertainties regarding measurements of bioavailable DOC and
diurnal and seasonal variations (23); however, as an
approximation, it indicates the potential for bacteria in oligotrophic
marine environments to be exposed to starvation.
In order to assess the capacity of RB2256 to respond to starvation, we
compared gene expression in logarithmic and starved cells using a
two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) analysis
of cellular proteins. The generation of high-resolution protein
profiles enabled a quantitative assessment of differential gene
expression in RB2256 and a comparison of gene expression to that of
Vibrio angustum S14 (26), a typical marine
copiotrophic bacterium with a well-characterized response to starvation
(34). In addition to patterns of whole-cell gene expression,
we examined changes in total protein and RNA synthesis that occurred as
the cells made the transition from logarithmic growth to starvation. By
monitoring the response throughout the growth phase and up to 7 days of
starvation, we have gained significant insight into how the cell
prepares for and copes with starvation. Our findings demonstrate that
RB2256 exhibits a defined response to starvation with a number of
characteristics that differ from copiotrophic bacteria. These results
expand our view of the physiology of oligotrophic bacteria, and we
discuss the potential advantages this may have for bacterial survival
under oligotrophic conditions.
 |
MATERIALS AND METHODS |
Organism, growth conditions, and media.
Sphingomonas
sp. strain RB2256 is a member of the
-proteobacteria. It has
recently been taxonomically and phylogenetically characterized, and the
species name Sphingomonas alaskensis sp. nov. has been
proposed (M. Vancanneyt et al., submitted). RB2256 was maintained in an
artificial seawater medium (10) supplemented with 3 mM
D-glucose (ASWG medium). Batch cultures were grown at 30°C with orbital shaking at 150 rpm, as described previously (11). Cell viability was monitored by the drop plate method (13) with VNSS solid medium (25).
Determination of glucose concentration in growth medium.
RB2256 cultures were grown in ASWG medium, and samples were filtered
through sterile 0.22-µm-pore-size Millex-GV (Millipore) membranes.
Filtrates were analyzed with a glucose oxidase-peroxidase kit according
to manufacturer's protocols (Sigma Chemical Co., St. Louis, Mo.).
Determination of rates of protein and RNA synthesis during growth
and starvation.
The rates of protein and RNA synthesis were
determined as the rate of radioactive methionine-cysteine and uridine
incorporation into tricholoroaceteic acid (TCA)-insoluble material,
respectively (13). Cultures were monitored by measuring the
optical density at 433 nm (OD433) (11). Cultures
were sampled during logarithmic growth, at the onset of starvation, and
1, 2, 4, and 7 days thereafter and exposed to a final
concentration of 0.06 µM [35S]methionine-cysteine
(specific activity, 1,175 Ci mmol
1; ICN Pharmaceuticals)
or 0.38 µM [3H]uridine (specific activity, 26 Ci
mmol
1; Amersham Life Science) at 30°C for up to 60 min.
Initial rates were calculated from the linear portion of graphs of
incorporation versus time. To determine synthesis rates, 50-µl
duplicate samples were removed and added to 800 µl of ice-cold 10%
TCA and maintained on ice until all samples were collected. Samples
used for determining rates of protein synthesis were heated at 90°C
for 15 min, kept on ice for 1 h, and collected by filtration with
0.2-µm-pore-size filters (Millipore). Samples used for the
determination of rates of RNA synthesis were filtered without prior
heat treatment. Filters for both protein and RNA determinations were
washed three times with ice-cold 5% TCA and transferred into
scintillation vials, and 10 ml of scintillation cocktail (Wallac
Hi-Safe 3) was added. Filters were mixed by vortexing for 40 s
prior to measuring radioactivity (Packard Scintillation Counter Series
2000). Rates of protein and RNA synthesis were calculated from the
linear slopes of radionuclide incorporation graphs (25). The
rate (in disintegrations per minute per cell) was calculated from the
slope (disintegrations per minute), the viable cell count (the number
of cells per milliliter), and sample volume (in milliliters). The rate
was converted to the number of picomoles per minute per cell by
incorporating the specific activity (curies per millimole) for each
radionuclide and conversion factor (1 Ci = 2.2 × 1012 dpm) and converting to the number of picomoles per
minute per milligram of protein by using the measured protein content
per cell (see below). Relative rates were calculated as the proportion of the maximum rate during logarithmic growth and are represented as
percentages or decimal values.
Determination of cellular protein content.
Cultures were
sampled (15-ml samples) during logarithmic growth, at the onset of
starvation, and 1, 2, 4, and 7 days thereafter and collected by
centrifugation at 2,570 × g at 25°C for 20 min (Hettich Universal 16R). The cell pellet was resuspended in 15 ml of
0.1% sodium dodecyl sulfate by brief vortex mixing, followed by
dilution with an equal volume of sterile Milli-Q water. Protein concentrations were determined with a bicinchoninic acid assay kit in
accordance with the manufacturer's protocols (Sigma Chemical Co.),
with standard curves constructed with bovine serum albumin.
Determination of ribosome content.
Data for ribosomes was
determined previously (11).
Separation and analysis of 2D-PAGE of proteins.
Proteins
from cells in mid-logarithmic growth (OD433 = 0.17;
1.5 × 108 cells ml
1) or following
24 h of starvation were radioactively labelled with
[35S]methionine-cysteine (ICN Pharmaceuticals).
Pulse-labelling, sample preparation, and electrophoresis were performed
as described previously (12). Images of 2D-PAGE gels were
obtained with CS phosphor screens on a Bio-Rad GS525 Molecular Imager.
Quantitative analysis of 2D-PAGE gels was performed using Melanie II
software (Bio-Rad) with three images generated from two separate
experiments for each growth condition. Logarithmic-phase cells were
labelled for 60 min (12). Starved cells were labelled for
various lengths of time to determine the period of exposure that
provided an equivalent level of incorporation per cell. By comparing
disintegrations per minute from whole-cell counts with liquid
scintillation and total disintegrations per minute from 2D-PAGE gels,
equivalent levels of incorporation were found after 12-h labelling of
cells starved for 24 h. Each spot was allocated a unique
identification number. After initial spot detection, landmarks were
manually appointed on each image, and all data were matched
automatically with Melanie II software. Each spot that was identified
by the spot-finding program was manually examined to confirm that it was a real spot. Anomalous spots, including regions of streaking or
smearing and regions at the extremities of the gel, were excluded. Each
gel was compared to every other gel to identify spots they had in
common. Every match between spots from any two gels was designated a
group. For each growth condition, groups were visually examined to
ensure that the analogous spot was detected in all three gels.
Anomalous spots were excluded or manually adjusted. Groups between
different growth conditions were statistically analyzed (Student
t test, 95% confidence interval) to determine which groups
had intensity differences of at least twofold. Spots which appeared in
the three gels from one growth condition (e.g., logarithmic growth) but
did not appear in any of the three gels from another growth condition
(e.g., starvation) were designated unique to the particular growth
condition (e.g., logarithmic growth).
 |
RESULTS |
In order to examine the physiological changes that take place in
stationary phase, we determined rates of RNA and protein synthesis,
protein content per cell, and the glucose concentration of the growth
medium throughout the growth phase and starvation and generated
two-dimensional protein profiles of logarithmic-phase cells and cells
starved for 24 h.
Onset of starvation and glucose utilization.
During growth at
30°C in ASWG medium, maximum growth yields corresponded to an
OD433 of 0.8 (Fig. 1A). Once
this optical density was reached, it did not increase further. In
contrast, viable cell numbers increased from 1.4 × 109 CFU ml
1 when OD433 first
reached 0.8 to 2.2 × 109 CFU ml
1 over
the next 9 h. In association with cell growth, the glucose concentration decreased during log phase to a relative level of 0.023 when the cells reached an OD433 of 0.8. Within the next 5 h, the glucose level continued to fall to a relative level at least as low as 0.003 (the detection limit of the glucose assay).

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FIG. 1.
Growth phase-dependent, macromolecular synthesis in
RB2256. Cells were grown in ASWG medium. (A) Cell growth is measured as
OD433 ( ), as the number of CFU per milliliter (*), and
as the concentration of glucose in the medium ( ). Curves for optical
density and glucose concentration are the averages of two experiments
with a maximum standard deviation of less than 20%, and results of a
typical experiment are shown for the number of CFU per milliliter. (B)
The optical density of cultures ( ) and the relative rate of RNA
synthesis ( ) are shown. The results of a typical experiment are
shown. (C) The optical density of cultures ( ), the relative number
of ribosomes per cell ( ), protein content per cell ( ), and rates
of protein synthesis ( ) are shown. The vertical hatched bar
highlights the logarithmic-phase time point used for 2D-PAGE
pulse-labelling experiments (see Fig. 3). Curves for optical density
and protein content per cell are results of a typical experiment, rates
of protein synthesis are the average of two experiments with a standard
deviation of less than 27%, and ribosome numbers are from Fegatella et
al. (11). All experiments were performed a minimum of three
times.
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|
To determine which point of the growth curve was most appropriately
assigned as the onset of starvation, it was necessary
to consider the
potential growth yield associated with the available
carbon. Three
millimolar glucose is equivalent to 500 mg of glucose
per liter. We
have previously shown that 8 mg of DOC per liter
yields 2.3 × 10
7 CFU ml
1 (
10). Therefore, at a
relative glucose concentration of 0.023
(11.5 mg of glucose per liter
or 4.6 mg of DOC per liter), the
maximum growth yield would be
approximately 1.5 × 10
7 CFU ml
1. As the
number of cells at this stage of growth had already reached
1.4 × 10
9 CFU ml
1, the concentration of glucose was
insufficient to allow cell
division, and cells were essentially
starved. The onset of starvation
for RB2256 was therefore most
conveniently defined by the time
point at which OD
433
first reached maximum levels. The increase
in viable count
(approximately double), but the absence of increasing
optical density
in the following 9 h, was likely to reflect final
rounds of cell
division where dividing cells separated to form
single cells. This was
consistent with RB2256 cells not undergoing
reductive cell division or
changing cell volume during starvation
(
10,
28).
RNA synthesis during growth.
Peak rates of RNA synthesis
occurred during late logarithmic phase (Fig. 1B). Prior to the observed
increase in the rate of RNA synthesis, rates of RNA synthesis were
relatively constant (54 to 66% of maximal rates), and following the
peak, synthesis rates decreased rapidly to a relative level of around
16% at the onset of starvation. This indicated that RNA synthesis
rates remained at relatively high levels during the most active stages
of growth and that synthesis was quickly down-regulated as the cells
approached starvation. The highest rates of RNA synthesis were 1.0 × 10
8 pmol of uridine min
1
cell
1.
Protein synthesis during growth.
The rate at which proteins
were synthesized increased rapidly during logarithmic phase, peaked
around late logarithmic phase, and decreased rapidly to reach a minimal
basal level as the cells approached the onset of starvation (Fig. 1C).
The rate of protein synthesis increased from a relative level of
approximately 2% and decreased from peak levels to 2% at the onset of
starvation, demonstrating that protein synthesis was regulated (gene
expression and protein turnover) by up to 50-fold throughout the growth
phase. Highest rates of protein synthesis were 5.2 × 10
8 pmol of methionine min
1
cell
1 and 284 pmol of methionine min
1 mg of
protein
1 (Table 1). The
profile describing the protein content per cell had a peak that
coincided with the peak in the rate of protein synthesis. However, the
profile of the rate of protein synthesis was broad, with relative
levels around 1 day prior to starvation of 17% and 56% at the onset
of starvation (Fig. 1C). The maximum concentration of protein
corresponded to 186 fg cell
1 (Table 1).
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TABLE 1.
Protein content and rate of protein synthesis in
Sphingomonas sp. RB2256 during logarithmic growth
and starvation
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|
By using the rates of protein synthesis to calculate the amount of
protein synthesized in a fixed time period, the predicted
cellular
protein content was compared to the experimentally determined
protein
content. As an example, for the time period between 0.39
and 0.33 day
prior to starvation, it was calculated that between
12.6 and 38.9 fg of
protein was synthesized. This was derived
from the data in Table
1
using the rates of protein synthesis
for the two time points (see
Materials and Methods). Based on
the protein content per cell at 0.39 day prior to starvation,
this would lead to a protein content per cell
of between 154 and
180 fg cell
1 at 0.33 day prior to
starvation. This predicted value compared
favorably with the
experimentally determined value of 167 fg cell
1.
Ribosome content and protein and RNA synthesis.
The
number of ribosomes per cell during logarithmic growth
(11) is shown in comparison to rates of protein synthesis
and protein content (Fig. 1C). The peak in ribosome content occurred much earlier in the growth phase than the peaks for the protein synthesis and protein content per cell. At the point in the growth phase when the maximum number of ribosomes were present (2,000 per cell
[11]), the total protein content was 45 fg
cell
1 (data not shown). Assuming that the ribosomes in
RB2256 have a mass equivalent to that of Escherichia coli
(857,000 [21]), the protein content of the ribosomes
at this point was 2.9 fg cell
1 or approximately 6% of
total cell protein. This compares to 9% for E. coli at a
specific growth rate of 0.6 h
1 (5). By
applying this same calculation to time points from the onset to 7 days
of starvation (Fig. 2), ribosomal protein represented less than 0.9% of total protein.

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FIG. 2.
Macromolecular synthesis in RB2256 during starvation.
Conditions for the experiments are as described in the legend to Fig.
1. Cell growth was measured by determining OD433 ( ), and
protein content per cell ( ), relative number of ribosomes per cell
( ), relative rate of RNA synthesis ( ), and rates of protein
synthesis ( ) are shown.
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The maximal rate of RNA synthesis occurred at a later stage in the
growth phase than the peak in ribosome synthesis. As the
rRNA content
was relatively low at this stage of growth, the high
level of RNA
synthesis may indicate either an elevated synthesis
of tRNA or mRNA or
a high rate of rRNA
turnover.
Macromolecular synthesis during starvation.
During stationary
phase, up to 7 days of starvation, rates of RNA (0.3 to 2%) and
protein (0.3 to 0.9%) synthesis reached low levels that remained
constant throughout the starvation period (Fig. 2). The protein and
ribosome contents in the cell also remained constant throughout
starvation; however, the relative levels were approximately 25 and
10%, respectively. The protein content has also been found to remain
high (50.4 mg of protein liter
1) for glucose-limited
chemostat cells that have been starved for up to 29 days
(28). These data show that low basal levels of macromolecular synthesis occurred during starvation and that preformed ribosomes and whole cell protein were retained for at least 7 days.
Protein profiles.
High-resolution 2D-PAGE profiles were
generated for cells in mid-logarithmic growth (1.5 × 108 CFU ml
1) and after 24 h of
starvation. The time point for logarithmic growth corresponded to 0.4 day before the onset of starvation and prior to the major increases in
rates of RNA and protein synthesis (Fig. 1). This time was chosen as it
was expected to reveal greater differences in expression between
logarithmic growth and starvation than if a later time point was chosen
for logarithmic growth. These profiles also serve as references maps
for future work to examine the potential spectrum of changes in gene
expression that may occur throughout the growth phase in association
with the cellular levels of ribosomes and rates of protein synthesis.
Radioactive images of equivalent intensity were obtained with
logarithmic-phase cells (generation time, ~3.5 h) that were
pulse-labelled for 1 h and 24-h-starved cells that were labelled
for 12 h (Fig.
3). Up to 1,500 spots
were resolved for logarithmic
cells, and only marginally lower numbers
(5%) of spots were detected
for starved cells. Protein spots from both
growth conditions were
distributed evenly throughout the resolved pI
range from 4 to
7 and a range in molecular mass from 10 to 100 kDa. The
similarity
in number and distribution of spots between the two growth
phase
conditions indicated that although rates of protein synthesis
were significantly lower during starvation (Fig.
1C and
2) and
(as a
result) pulse-labelling times were longer, a broad range
of proteins
continued to be synthesized.

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FIG. 3.
Two-dimensional gels of proteins from RB2256. (A and C)
Logarithmic-phase (1.5 × 108 cells/ml) cells were
labelled with [35S]methionine-cysteine for 60 min, and (B
and D) cells starved for 24 h were labelled for 12 h. The
molecular mass (in kilodaltons) of broad-range sodium dodecyl
sulfate-PAGE standards (Bio-Rad) are indicated on the left of panel A. The molecular mass and pI values of specific spots were assigned with
Melanie II software (Bio-Rad) and are shown in Table 3. Spots
highlighted with circles and the letter L have 10-fold-higher
intensities than the gels from logarithmic growth, and those with
squares and the letter S have 10-fold-higher intensities than gels
from starvation cultures. Spots identified with triangles and the
letter U are present only in gels from logarithmic growth; some of the
more intense spots are highlighted in the figure. Panels C and D are
expanded views of sections of panels A and B, respectively, and serve
to highlight the differences observable between protein spots from
logarithmic-phase and starved cells.
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|
A total of 1,086 spots were matched and analyzed for quantitative and
qualitative differences between logarithmic-phase and
starved cells.
The methods used (
12) combined radioactive imaging
with
phosphor screens, which provided the distinction between
spot
intensities throughout a 10
3-fold linear range, with a
computer software package that enabled
sensitive spot recognition and
allowed large numbers of spots
to be simultaneously compared. As a
result, spots that may otherwise
have been unrecognized were detected
and quantitated. This was
particularly important for determining which
spots were unique,
in comparison to those spots which were present in
both growth
conditions but at very different
levels.
While the overall pattern was generally similar (i.e., the number and
position of spots) between gels from each growth condition
(Fig.
3A and
B), differences in spot intensity were clearly identifiable.
One of
these regions is highlighted in Fig.
3C and D. A summary
of overall
quantitative differences is presented in Table
2.
The intensity of 72 spots was
increased at least twofold during
starvation. Of these, the intensity
of 14 spots was increased
more than 10-fold. The greatest level of
increase was 64-fold
(Fig.
3B and D). Relative to the number of spots
that have increased
intensity during starvation, about 2 1/2 times as
many protein
spots have decreased intensity during starvation. Most of
these
were moderately decreased (>2-fold), although seven were
decreased
greater than 10-fold, and one was decreased 71-fold (Fig.
3A
and
C). While the numbers of spots between gels from logarithmic growth
and starvation were similar, it is noteworthy that 80 protein
spots
were completely absent from gels of starved cells (i.e.,
unique to
logarithmic growth).
Specific protein spots are identified in Fig.
3 with intensity that is
increased by 10-fold or higher during starvation or
logarithmic phase.
In addition, a number of spots unique to logarithmic
growth have also
been identified. A summary describing the characteristics
of these
specific spots is presented in Table
3.
Eight of the
14 spots that have at least 10-fold-higher intensity
during starvation
were part of protein clusters (i.e., spots S1 to S5
and S6 to
S8) (Fig.
3D). The spots in the cluster containing spots S1
to
S5 included three rows of spots with up to six or seven closely
spaced spots per row. In addition, the cluster was clearly present
during logarithmic growth. Most of the spots in the two lower
rows have
spot intensities at least seven times higher during
starvation. The
cluster that includes spots S6 to S8 had somewhat
different
characteristics and appeared to be part of a single
row of four spots
which were more widely spaced than those in
the S1-to-S5 cluster, and
these four spots were almost absent
during logarithmic growth. This
cluster contained the spot (S8)
with the highest differential intensity
during starvation.
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TABLE 3.
Summary of protein characteristics for spots from
two-dimensional protein gelsa that have spot
intensities varying by 10-fold or more between logarithmic and
stationary-phase cells
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The genome size of RB2256 is on the order of 1.5 Mb (
29).
The average sizes of the genes in
E. coli (
3) and
Helicobacter pylori (
35) are 1,082 and 1,049 bp,
respectively. Assuming a
similar relationship for other gram-negative
bacteria (1 gene
= 1 kb), the genome of RB2256 may encode
approximately 1,500 genes.
As it is unlikely that RB2256 simultaneously
expressed every gene
from its genome, it is equally unlikely that each
of the 1,500
spots detected on the protein gels represented a unique
protein.
Due to the similarity of molecular mass and pI between spots
from
the same cluster (Table
3; Fig.
3), it is possible that the
clusters
represented posttranslationally or cotranslationally modified
versions of the same protein and/or isozymes. Similar features
have
previously been associated with the glycosylation and phosphorylation
of proteins (
16). Furthermore, a high level of
posttranslational
and cotranslational modifications have been detected
in the proteomes
of
E. coli (
24) and
Mycoplasma (I. Humphrey-Smith, personal
communication). It
is possible that in addition to regulated synthesis
of protein
production, modification of preexisting proteins plays
an important
role in growth-phase-specific physiology of
RB2256.
 |
DISCUSSION |
A comparison of gene expression and protein synthesis during growth
and starvation in RB2256 and V. angustum S14.
Differences in spot intensity of 60- to 70-fold are present between
matching spots from protein gels for cells from logarithmic growth and
starvation (Table 3), and 80 spots are present only in gels from
logarithmic-phase cells (Table 2). These observed changes in spot
intensity are indicative of growth phase-specific alterations in gene
expression and provide strong support for the presence of a genetically
programmed starvation response in RB2256.
We compared protein gels from RB2256 (Fig.
3) with comparable gels
(1,700 spots) from
V. angustum S14 (
26) and
attempted
to rationalize the types of observed changes with the
physiology
and genetic characteristics of each bacterium. The total
number
of spots with higher intensity during starvation and logarithmic
growth is 72 and 177, respectively, for RB2256 (Table
2), which
compares with 157 and 144, respectively, for
V. angustum S14
(
26).
The most noticeable feature of this comparison is
the relatively
low number of protein spots that have higher intensity
during
starvation in RB2256. A contributing factor to this difference
may relate to cell division. Unlike copiotrophic microorganisms
such as
V. angustum S14, RB2256 does not undergo reductive
cell
division during starvation. As a result, genes involved in cell
division are likely to be repressed in RB2256 but would need to
be
expressed in
V. angustum S14 during stationary phase to
enable
reductive cell division to take place. Consistent with this, a
large proportion of the spots in RB2256 that are differentially
expressed during stationary phase are spots that are unique to
logarithmic phase (Table
2) and are thus only required when the
cell is
growing.
We have previously shown that, unlike what is observed in
V. angustum S14 and many other nondifferentiating heterotrophic
bacteria, starvation in RB2256 does not lead to enhanced resistance
to
hydrogen peroxide or heat stress (
10) and that cells starved
for 24 h respond to the addition of excess glucose by immediately
achieving maximum growth rates (
11). These results indicate
that genes often associated with stress resistance during starvation
may not be induced during starvation in RB2256. In contrast, genes
necessary for rapid recovery from starvation may be induced during
starvation. It will clearly be valuable to characterize the spots
on the protein gels that have been highly regulated during starvation,
as this will determine the genetic basis and inferred physiological
significance of the starvation response in RB2256. This will be
particularly valuable for testing hypotheses regarding the types
of
catabolic systems and regulatory mechanisms that may be expected
to be
present in typical oligotrophic bacteria (
27).
During starvation, the regulation of protein and RNA synthesis in
RB2256 differs markedly from that in
V. angustum S14. In
RB2256, at the onset of starvation the rate of protein synthesis
is 9 pmol of methionine min
1 mg of protein
1,
decreasing to a minimum level of 4 pmol min
1 mg of
protein
1 throughout 7 days of starvation (Table
1). In
V. angustum S14,
the rate of synthesis is 4.3 pmol of
leucine min
1 mg of protein
1 immediately
prior to starvation; however, the rate dramatically
decreases to 0.1 and 0.009 pmol of leucine min
1 mg of
protein
1 at 1 and 6 days of starvation, respectively
(
13). These data
equate to a 2-fold decrease in specific
rates of synthesis in
RB2256 compared with a 470-fold decrease in
V. angustum S14. A
similar trend is observed for rates
of RNA synthesis, whereby
rates remain largely unchanged throughout
starvation in RB2256
(Fig.
2) and abruptly decrease during starvation
in
V. angustum S14 (
13). These responses to
starvation further highlight the
different physiology of these two
classes of
bacteria.
Protein synthesis and ribosomes.
We have previously shown
that the ribosome content in RB2256 is highly regulated
throughout the growth phase, and yet as cells can achieve maximum
growth rates with a relative level of 10%, the cells appear to contain
a cellular excess of ribosomes (11). To further examine the
role of ribosomes in the cell, in this study we compared rates of
protein synthesis and cellular protein content to the ribosome content
(Fig. 1C). These data showed that the number of ribosomes per cell
reached a maximum and then fell to basal levels approximately a half
day before the rates of protein synthesis and cellular protein content
reached maximum levels. In effect, the highest rate of protein
translation occurs when there is a relative level of 10 to 15% of
ribosomes (200 to 300 ribosomes cell
1). This indicates
that ribosome synthesis is largely uncoupled from protein synthesis and
that ribosomes may perform alternative functions during mid-logarithmic
growth when the ribosome content greatly exceeds protein synthesis
requirements. The ribosomes may function as protein reserves or be
bound to and affect the stability of mRNA. These possibilities,
however, need to be experimentally investigated.
During stationary phase, rates of protein synthesis do not exceed a
relative level of 1%; however, the relative number of
ribosomes per
cell remains around 10% (
11). This indicates that
in
starvation the number of ribosomes is also in large excess
relative to
protein synthesis requirements. However, unlike conditions
of
mid-logarithmic growth, where cells are dividing at maximum
specific
growth rates, an excess of ribosomes may provide an advantage
for
starved cells when they encounter a new source of carbon.
This is
supported by the ability of RB2256 cells that have been
starved for 7 days in complex medium to resume growth immediately
following the
addition of excess glucose (
11).
Monitoring starvation and ecological relevance.
In RB2256,
maximum rates of RNA synthesis and protein synthesis coincide with the
maximum rate of change in glucose concentration of the growth medium
(Fig. 1). The rapid decrease in carbon flux during late logarithmic
phase may provide a signal to the cell that starvation is imminent. In
this way, much of this activity may be aimed at preparing the cell for
complete nutrient deprivation.
Cells starved for 7 days in a glucose-minimal medium respond with
submaximal rates of growth when subjected to glucose excess,
whereas
they respond with maximal rates when subjected to carbon
in complex
medium (
11). This outgrowth response of cells in
minimal
medium is indicative of a repression mechanism, whereby
rates of growth
are repressed until the biosynthetic capacity
of the cell is able to
meet the demand necessary for achieving
maximum rates of growth. Our
present results indicate that the
repression mechanism does not involve
a typical stringent response
(
7,
17,
34), as the relaxation
phase that normally accompanies
a stringent response is not evident in
the protein synthesis profile
(Fig.
1C). This interpretation will be
clarified by evaluating
levels of ppGpp(p) throughout the growth
phase.
The oligotrophic marine environment contains microzones that may create
sustained gradients of nutrients utilizable by marine
bacteria,
produced by the lysis of or excretion from phytoplankton,
the release
of intracellular components during predation, or the
presence of
organic detritus. As a result of bacterial movement
relative to the
microzones caused by motility and chemotaxis (
2)
or
hydrodynamic forces, bacteria may encounter sharp gradients
of
nutrients (
1). As a result, they may experience periods
of
nutrient depletion and rapid changes in nutrient concentration
that are sufficient to induce a starvation response and rapid
increases
in nutrients as they encounter relatively enriched microzones.
Therefore, a marine bacterium such as RB2256 with an effective
means of
utilizing oligotrophic levels of nutrients is likely
to have an
enhanced ability to compete in the environment if it
is able to mount
an appropriate starvation response and rapid
outgrowth
response.
Marked changes in gene expression, as observed in protein gels from
logarithmic phase and periods of cell starvation, and
a high level of
regulation of protein and RNA synthesis and ribosome
content occur in
RB2256. It remains to be determined what contributions
are afforded by
well-known gene regulatory pathways and alternative
mechanisms of
controlling gene expression, such as mRNA stability,
protein
turnover, and co- and posttranslational modification of
proteins. However, the implications of these findings strongly
argue
that in RB2256 and perhaps other oligotrophic ultramicrobacteria,
maintaining the normal physiological state of the cell involves
a high
level of gene regulation. It is not unreasonable to find
that a
bacterium such as RB2256 that is capable of becoming numerically
dominant would have evolved a genotype with sufficient regulatory
mechanisms to ensure optimized physiological activity in its native
environment.
 |
ACKNOWLEDGMENTS |
We acknowledge constructive and critical discussions with M. Eguchi and S. Kjelleberg and thank M. Ostrowski, T. Kolesnikow and S. Rice for critical review of the manuscript. We warmly acknowledge the
reviewers for their particularly constructive and detailed critiques
during the review process.
This work was supported by the Australian Research Council.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: School of
Microbiology and Immunology, The University of New South Wales, Sydney,
2052 UNSW, Australia. Phone: (61) 2-9385 3516. Fax: (61) 2-9385 2742. E-mail: r.cavicchioli{at}unsw.edu.au.
 |
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