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Applied and Environmental Microbiology, June 1999, p. 2409-2417, Vol. 65, No. 6
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Flow Cytometric Analysis of 5-Cyano-2,3-Ditolyl
Tetrazolium Chloride Activity of Marine Bacterioplankton in
Dilution Cultures
Michael E.
Sieracki,1,*
Terry L.
Cucci,1 and
Justyna
Nicinski1,2
Bigelow Laboratory for Ocean Sciences, West
Boothbay Harbor, Maine 045751 and
University of New England, Biddeford, Maine
040052
Received 22 December 1998/Accepted 26 March 1999
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ABSTRACT |
The respiratory activity of marine bacteria is an important
indication of the ecological functioning of these organisms in marine
ecosystems. The redox dye 5-cyano-2,3-ditolyl tetrazolium chloride
(CTC) is reduced intracellularly in respiring cells to an insoluble,
fluorescent precipitate. This product is detectable and quantifiable by
flow cytometry in individual cells. We describe here an evaluation of
flow cytometry for measuring CTC activity in natural assemblages of
marine bacteria growing in dilution cultures. We found that more
CTC-positive cells are detected by flow cytometry than by visual
epifluorescence microscopy. Samples can be stored refrigerated or
frozen in liquid nitrogen for at least 4 weeks without a significant
loss of total cells, CTC-positive cells, or CTC fluorescence. Cytometry
still may not detect all active cells, however, since the dimmest
fluorescing cells are not clearly separated from background noise.
Reduction of CTC is very fast in most active cells, and the number of
active cells reaches 80% of the maximum number within 2 to 10 min. The
proportion of active cells is correlated with the growth rate, while
the amount of fluorescence per cell varies inversely with the growth rate. The CTC reduction kinetics in assemblages bubbled with nitrogen and in assemblages bubbled with air to vary the oxygen availability were the same, suggesting that CTC can effectively compete with oxygen
for reducing power. A nonbubbled control, however, contained more
CTC-positive cells, and the amount of fluorescence per cell was
greater. Activity may have been reduced by bubble-induced turbulence.
Addition of an artificial reducing agent, sodium dithionite, after CTC
incubation and fixation resulted in a greater number of positive cells
but did not "activate" a majority of the cells. This indicated that
some of the negative cells actually transported CTC across their cell
membranes but did not reduce it to a detectable level. Automated
analysis by flow cytometry allows workers to study single-cell
variability in marine bacterioplankton activity and changes in activity
on a small temporal or spatial scale.
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INTRODUCTION |
Natural bacteria account for a huge
portion of the living biomass on earth. In the oceans 80% of the
particulate organic carbon is in the form of bacterial cells
(5). While our abilities to calculate the abundance and
biomass of bacteria have improved to the point of making global
estimates possible, the methods used to measure the activity of natural
bacteria have lagged behind. The primary method which is used is to
estimate bacterial growth rates from measurements of bulk uptake of
tritium-labeled thymidine or leucine in multimilliliter samples
(13, 18). Bacteria in the ocean play an essential role in
transforming dissolved organic matter into biomass that is then
available to higher trophic levels in the microbial food web. The
proportion that is available depends on the bacterial growth
efficiency, a poorly characterized parameter, while the remainder is
respired. From highly productive coastal and upwelling regions to
extremely oligotrophic waters, the range of bacterial concentrations is
paradoxically narrow (105 to 106 cells per ml).
Similarly, biomass levels are relatively constant across large trophic
gradients in the ocean (29). The activity of bacteria,
however, appears to be more variable, even in oligotrophic waters
(3).
The importance of bacterial respiration rate measurements in
understanding the role of bacteria in carbon cycling has been clearly
stated (8, 15). The measured bacterial growth efficiencies are quite variable and range from less than 10% to more than 90%. Pomeroy et al. (23) observed a variety of kinetic responses to oxygen use in microbial communities in 24-h bottle incubation experiments. The oxygen uptake rates increased, decreased, or remained
constant (i.e., linear) during the 24-h experiments.
One method that is being used increasingly to measure the single-cell
activity of natural bacteria is a method involving the intracellular
fluorescent probe 5-cyano-2,3-ditolyl tetrazolium chloride (CTC)
(24, 30). This method results in the production of a
fluorescent CTC-formazan product of reduction (CTF) that can be
quantified at low concentrations in individual cells (9, 24)
and is thought to indicate that cell electron transport system activity
or respiration is occurring. The CTC method remains controversial,
however, in part due to misinterpretation and a genuine lack of
information concerning what its results actually indicate. The
relatively low proportion of cells that are CTC active contrasts with
the higher proportions of active cells measured by other methods, such
as microradiographic analysis of the uptake of radioactive
tracer-labeled low-molecular-weight substrates (17). The
discrepancy has contributed to confusion about what is actually
measured by intracellular CTC reduction. General acceptance of the
method depends on understanding how it works and what its results
mean. This is one purpose of the work described here, in which we used
mixed natural bacterial assemblages in dilution cultures.
The majority of studies in which CTC and natural samples have been used
have relied on visual epifluorescence microscopy to determine whether
individual cells are active or inactive (10, 11, 14, 24,
30). These studies yielded interesting and important results.
However, there are several potential limitations to this approach.
Detection of CTC-positive cells is limited by the sensitivity of the
human eye. CTF fluorescence has been observed to fade, so that sample
slides cannot be stored for very long. The proportion of detectable
CTC-active cells increases over time, which leads to long incubation
times (6 to 10 h) (11, 14). There are several potential
advantages of using automated flow cytometry to measure CTF
fluorescence. First, flow cytometry eliminates the tedium and operator
fatigue during visual microscopy that limit the sample throughput rate.
Second, fluorescence of individual cells can be quantified by flow
cytometry. Respiration as measured by CO2 evolution has
been shown to be better correlated with integrated cell fluorescence
values than with the proportion of CTC-positive cells for mixed
bacterial assemblages in bioreactors (9). Third, the
exposure of cells to excitation illumination is very brief during flow
cytometry, which minimizes photobleaching. And fourth, the sensitivity
of photomultiplier tubes to red fluorescence exceeds the sensitivity of
the human eye, so faintly CTC-positive cells that are undercounted by
visual methods should be detectable. Flow cytometry allows large
numbers of samples to be routinely analyzed without time-consuming,
tedious microscopic analyses. Since more cells can be analyzed per
sample, the precision of the counting is improved (22). The
advantages of flow cytometry are especially clear for samples
containing low proportions of positive cells, since this method
eliminates the tedium of searching large numbers of empty microscope
fields. The greater sensitivity for detection of CTF allows the use of
shorter incubation times (10).
Several investigators have described using flow cytometry for measuring
CTC activity. Kaprelyants and Kell (16) used flow cytometric
analysis of CTC activity for a pure culture of Micrococcus luteus. More recently, del Giorgio et al. (10) used
flow cytometry to measure the numbers of CTC-positive cells in samples
from a variety of lakes. The second major goal of our study was to
evaluate the use and advantages of flow cytometry for measuring not
only the numbers of CTC-positive cells but also the fluorescence of individual bacterial cells in coastal marine samples. We used fresh
dilution cultures of marine bacterioplankton to modify the growth rates
of bacteria obtained from natural assemblages and to ascertain the CTC
response. Our results show that flow cytometry is useful for performing
automated analyses of CTC activity in marine bacteria. This method can
be used with small sample volumes and short incubation times, and
sample analysis takes less than 1 min. These advantages should result
in experimental designs that can address new questions concerning the
respiratory activity of marine bacteria at small spatial and temporal
scales of variability.
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MATERIALS AND METHODS |
Cell cultures.
Dilution cultures of marine bacteria were
prepared from water that was freshly collected from the Bigelow
Laboratory dock in West Boothbay Harbor, Maine, near high tide. A
grazer-free inoculum was prepared by gently filtering a subsample
through a 0.6- or 0.8-µm-pore-size polycarbonate filter. This
inoculum was then added to water from the same sample that had been
filtered through a 0.2-µm-pore-size polycarbonate filter at dilutions
ranging from 1/10 to 1/100. Preparations were incubated at the in situ temperature in 250-ml polycarbonate culture flasks. In some
experiments, cultures were enriched with 0.01% yeast extract or with
glucose (1 mg liter
1), NH4Cl (25 mg
liter
1), and NaH2PO4 (10 mg
liter
1).
CTC incubation mixtures.
CTC was dissolved in deionized
water to prepare 25 or 50 mM stock solution, and the solution was
slowly stirred overnight at room temperature. Fresh working stock
solutions were prepared for each set of experiments, stored at 4°C,
and used within several days. In a typical experiment, CTC was added to
a culture or natural sample at a final concentration of 5 mM
(24). The incubation times ranged from 5 to 40 min, and
incubation was ended by fixation with a 1/10 dilution of 10%
paraformaldehyde (final concentration, 1%). In time course experiments
subsamples were fixed at certain times. Control preparations were fixed
prior to CTC incubation in each experiment; these fixed controls never
contained significant numbers of CTC-positive cells or CTF particles.
Microscopy.
Samples were stained with DAPI
(4',6-diamidino-2-phenylindole) (final concentration, 7 µg/ml) in
filter towers for at least 4 min and then filtered onto
0.2-µm-pore-size polycarbonate filters. The filters were then mounted
on slides under oil by using standard epifluorescence methods. The
slides were stored in the dark at 4°C until they were examined. The
slides were examined with a Zeiss Axioskop microscope outfitted for
epifluorescence illumination with either a ×63 objective or a ×100
objective by using blue light excitation in order to determine the
number of CTC-positive cells. Then the filter set was changed to a UV
excitation filter set to determine total cell counts.
Flow cytometry.
A Becton Dickinson FACScan flow cytometer
equipped with a 15-mW, 488-nm, air-cooled argon ion laser was used in
this study. All sample and data analyses were done with Becton
Dickinson CellQuest software. Liquid samples were either analyzed
immediately or frozen in small volumes (1 ml) in liquid nitrogen after
1 h of fixation with 1% (final concentration) paraformaldehyde.
Simultaneous measurements of forward light scatter (relative size),
90-degree light scatter, and CTF fluorescence emission (wavelength,
>630 nm) were used to detect and enumerate CTC-positive cells.
CTC-positive bacteria were detected based on red signals above a
baseline threshold by separating instrument noise and true red emitted light.
Total bacterial numbers were determined by using the double-stranded
DNA stain PicoGreen (Molecular Probes, Inc.). Preserved samples were
stained with PicoGreen at a final concentration of 1:100 of the stock
solution (33). Green fluorescence emission (wavelengths, 515 to 525 nm) from PicoGreen-stained bacteria was simultaneously measured
by forward light scatter and 90-degree light scatter. The photodiode
detector (for forward light scatter) and the photomultiplier detector
(for 90-degree light scattering, PicoGreen, and CTF) were used in log
mode and provided 4 decades of log, and the signal peak integrals were
measured. The volume of a sample analyzed with the FACScan flow
cytometer was determined gravimetrically by using a model A-160
electronic balance (Denver Instruments Co.). Each sample was weighed
before and after analysis, and the difference in milligrams was
considered to be equal to the volume of the sample analyzed in
microliters. All samples were examined at either a low flow rate (~20
µl/min) or a high flow rate (~50 µl/min) so that the total
particle counts did not exceed 1,500 counts per s. In dense cultures,
samples were diluted with filtered (pore size, 0.2 µm) seawater in
order to maintain the counts below the threshold value.
CTC sample storage.
To determine whether CTC-positive
bacteria could be stored for a long time and then used for analysis, we
performed an experiment in which samples were stored for up to 28 days
either in liquid nitrogen or at 4°C. A dilution culture (3/100
dilution) was enriched with yeast extract and incubated for 24 h.
Then CTC was added, and the culture was incubated for 20 min and fixed.
Eighteen 0.5-ml aliquots of the preserved sample were placed in
cryovials for liquid N2 storage, and the remaining sample
was kept at 4°C in the dark. Triplicate samples subjected to both
treatments were analyzed by flow cytometry periodically for 28 days. We
determined CTC-positive bacterial counts and total bacterial counts
(with PicoGreen), as well as the mean cell CTF fluorescence.
Fluorescence spectra.
A yeast extract-enriched culture in
dense stationary phase was incubated with CTC for 40 min and then fixed
with 1% paraformaldehyde. The fluorescence spectra of CTC-positive
cells were determined with a dual-monochrometer scanning fluorescence
spectrophotometer (Baird Atomic model SF1). Spectra of the following
preparations were determined with 1-cm-pathlength cuvettes: (i) a fixed
culture sample without CTC, (ii) a killed control with CTC, and (iii) normal CTC-treated cells.
SDT-positive control.
We developed a positive control
technique to test the hypothesis that a CTC-negative cell cannot
transport CTC into the cell. Following standard incubation with CTC,
subsamples were dispensed into filter towers over 0.2-µm-pore-size
filters, and the dissolved CTC was removed from the samples by
filtering and rinsing them twice with deionized water. Replicate
samples were fixed with 1% paraformaldehyde prior to rinsing. After
rinsing, sodium dithionite (SDT), a reducing agent, was added at
concentrations ranging from 5 to 500 mM and was allowed to react in the
filter tower for 10 or 20 min. Unfixed ("live") preparations were
fixed after incubation with SDT. Incubation times were arranged so that
fixation of the standard CTC-containing samples and fixation of the
"fixed" SDT-containing preparations occurred at the same time that
CTC was removed from the live SDT-containing preparations by rinsing.
This ensured that all of the preparations were incubated with CTC for
the same time. The samples were then stained with DAPI and filtered,
and slides were prepared for microscopy as described above and examined within several hours.
Blue light exposure.
In order to measure any decay of CTF
fluorescence due to photobleaching during microscope counting, we used
a cooled charge-coupled device camera (Photometrics Ltd.) with 14 bits
of grey level resolution (16,384 grey levels) and a spatial resolution
of 67 nm pixel
1. A fresh field of view containing
CTC-positive cells was brought into focus as rapidly as possible under
standard blue light illumination. Then a sequence of images was taken
for 3 min at 10-s intervals. The initial image was segmented
(34) and used as a mask for the subsequent images. In this
way the CTF fluorescence intensity (average of the pixels) of each cell
was determined over the time sequence.
Oxygen-bubbling effect.
We performed an experiment to
evaluate the ability of CTC to compete with oxygen for electrons from
the electron transport system. A bacterioplankton dilution culture
(1/30 dilution) was incubated for approximately 20 h, and then a
portion of the culture was enriched with yeast extract (0.01%). After
4 h, the enriched and unenriched preparations were each divided
and placed into three small tissue culture flasks. One flask was
bubbled with N2 gas, one flask was bubbled with air, and
one flask received no bubbling (static treatment). After about 15 min
of bubbling, CTC was added to each flask. Samples were fixed with 1%
paraformaldehyde at time intervals ranging from 30 s to 480 min.
 |
RESULTS |
Spectrum of CTF fluorescence.
The excitation spectrum of CTF
was relatively broad, from about 450 to 585 nm, and had a maximum near
480 nm (Fig. 1A). This finding agrees
with microscope observations which indicated that both blue excitation
and green excitation yield CTF fluorescence. Peak CTF fluorescence
emission occurred at about 610 nm, and fluorescence was significantly
greater than the control fluorescence at wavelengths between about 585 and 670 nm (Fig. 1B).

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FIG. 1.
Fluorescence excitation (ex) and emission (em) spectra
of CTC-positive bacteria. For the excitation spectra (A) emission was
measured at 600 and 650 nm. For the emission spectrum (B) excitation
was measured at 475 nm. The control spectra (spectra C) are spectra
obtained for a bacterial culture to which CTC was added after the cells
were killed with formalin; these spectra were the same as the spectra
obtained for formalin-fixed bacteria alone.
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Loss of CTF fluorescence during microscopy.
Microscope
enumeration of a sample containing a low number of CTC-positive cells
could take up to 2 h before a significant number of cells
were counted. We observed that our counts per microscope field
declined exponentially over time (decay rate,
0.58
h
1; r2 = 0.64). The
possible causes of this included dissolution of the CTF and
photobleaching from light exposure. Replicate slides that had been
stored frozen exhibited similar cell losses during counting, although
there were fewer positive cells to begin with after thawing. Cells
rapidly lost CTF fluorescence during continuous exposure to blue
excitation light (Fig. 2). The loss was
exponential, and the decay rates varied from 11 to 47 h
1
(mean, 25 h
1; n = 73 cells). The decay
rate was not related to the initial cell fluorescence intensity.

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FIG. 2.
Loss of CTF fluorescence by individual cells in a
microscope field when they were continuously exposed to blue excitation
illumination from an Hg lamp. The mean fluorescence data for 73 cells
are shown. The error bars indicate one standard deviation. The initial
fluorescence values varied more than 10-fold (range, 900 to 11,000 RFU).
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Storage of CTC samples.
Total cells, CTC-positive cells, and
CTF fluorescence were preserved equally well whether preparations were
stored as liquids in the refrigerator or frozen in liquid nitrogen for
28 days (Table 1). The mean cell
fluorescence increased slightly during the first day of storage under
both conditions. The number of active cells increased slightly during
the first day in the refrigerator but not during the first day in
liquid nitrogen.
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TABLE 1.
Concentrations of total bacterial cells and CTC-positive
bacterial cells and mean CTC fluorescence (emission at >630 nm)
for samples stored at 4°C or in liquid nitrogen
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Detection of cells by flow cytometry.
A typical set of cell
cytograms from flow cytometric analyses of a sample is shown in Fig.
3. Total bacteria (Fig. 3A and B) were
detected by triggering on the green fluorescence of the nucleic acid
stain PicoGreen. Only cells that fell within the clear population
regions in both cytograms were counted. Outside the instrument noise
region, this meant that more than 99% of the events were counted as
cells. In the CTC analysis (Fig. 3C and D) the instrument was triggered
by red CTF fluorescence, and again positive cells had to fall in both
regions. In the CTC cytogram (Fig. 3D), the CTC signal was not clearly
separated from the background. A diagonal line (data not shown) was
used to define the bottom edge of the positive region, which may have
included some background noise or may have excluded some weakly
fluorescing cells.

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FIG. 3.
Flow cytometric detection of total bacteria stained with
PicoGreen (A and B) and CTC-positive cells (C and D). Only cells within
the side scatter-versus-forward scatter region (A and C) and the side
scatter-versus-fluorescence region (B and D) were counted.
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When enumeration by visual microscopy and enumeration by flow cytometry
were compared directly, fewer CTC-positive cells were
detected visually
than by flow cytometry (Fig.
4). For the
18
samples compared, the visual counts averaged 70% (range, 15 to
160%) of the flow cytometric counts. In only two of the samples
were
the visual counts significantly higher than the cytometric
counts. In
contrast, the visual counts of total bacteria (preparations
stained
with DAPI) were highly correlated (
r2 = 0.999) with the total counts obtained by flow cytometry
(preparations
stained with PicoGreen) (Fig.
5).

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FIG. 4.
Comparison of counts of CTC-positive cells determined by
visual microscopy and flow cytometry. Samples were obtained from a
dilution culture daily for 5 days and were incubated with CTC for 5 min
( ) and 40 min ( ). The proportion of CTC-active cells ranged from
2 to 50% in this experiment.
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FIG. 5.
Comparison of total cell counts determined by visual
microscopy and by flow cytometry. Cells were incubated with CTC and
then stained with PicoGreen for flow cytometry and with DAPI for
visual microscopy. The coefficients of variation for the visual counts
(two replicate slides) ranged from 1 to 33% (mean, 13%), and
coefficients of variation for flow cytometry (three replicates) ranged
from 2 to 8% (mean, 3.9%).
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Positive control experiments with SDT.
Addition of SDT to
cells incubated with CTC generally increased the proportion of
CTC-positive cells (Table 2). In fact, in
all of the experiments except experiment 5, an SDT concentration of 5 mM or higher increased the proportion of CTC-positive cells. Increasing
the time of exposure to SDT from 10 to 20 min did not increase the
number of CTC-active cells. In addition, it did not matter whether the
cells were fixed before or after the SDT treatment, although high SDT
concentrations distorted the shapes of live cells and made the DAPI
images difficult to count. Concentrations of SDT greater than 500 mM in
one experiment (data not shown) did not increase the number of
CTC-positive cells. SDT had the smallest effect on the unenriched
preparations (experiment 2), in which the percentage of CTC-active
cells was low (6%) when the standard method was used.
Short-term CTF kinetics experiment.
CTC reduction in many
cells occurred very rapidly (Fig. 6). In
this experiment the first sample was fixed 30 s after addition of
CTC, and the concentration of CTC-positive cells increased from zero to
5 × 105 cells ml
1 in the unenriched,
static preparation and from zero to more than 106 cells
ml
1 in the enriched, static preparation. These
concentrations represented 35 and 54% of the total bacteria in these
preparations, respectively. In these growing dilution cultures the
numbers of active bacteria reached maxima after about 40 min for the
unenriched preparation and after 10 min for the enriched preparation.
At these time points, about 85% of the bacteria were CTC positive in
the unenriched preparation, and 70% of the enriched bacteria were CTC
positive. In neither preparation was there a significant change in the
total cell number for the first 60 min. After this, there was a decline in the total number of cells, especially at 480 min (data not shown).

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FIG. 6.
Flow cytometry results from time course experiments in
which we examined CTC reduction in a dilution culture of marine
bacterioplankton ( ) and in the same culture enriched with yeast
extract ( ). (A) Abundance of CTC-positive cells. (B) Mean levels of
red fluorescence per cell for active cells. Note that CTC reduction was
detectable within 30 s (the first sample) in both experiments.
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The mean level of CTF fluorescence per cell (Fig.
6B) continued to
increase in both preparations to a maximum of 19.2 relative
fluorescence units (RFU) after 120 min for the unenriched preparation
and was still increasing between 2 and 8 h, the last two sample
times, for the enriched preparation. The level of fluorescence
per cell
in the unenriched preparation started out lower than
the level of
fluorescence per cell in the enriched preparation
but reached a maximum
value that was 28% higher than the maximum
value observed with the
enriched preparation (15.0
RFU).
Oxygen bubbling effect.
In preparations subjected to three
treatments (bubbled with N2, bubbled with air, and static)
the initial increases in the number of CTC-active cells were
comparable, but after about 20 min the numbers of active cells in the
two bubbled preparations declined, while the number of active cells in
the static preparation continued to increase (Fig. 7A and
B). Only at one point (40 min) during the
air-bubbled enriched treatment did a preparation reach a level
comparable to the levels observed under static conditions. Similarly,
the amount of CTF fluorescence per cell in the bubbled and static
preparations increased in parallel until about 40 min; then the cell
fluorescence under static conditions continued to increase, while the
cell fluorescence of the bubbled preparation increased more slowly or
leveled off. This pattern was observed for both the enriched and
unenriched preparations.

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FIG. 7.
CTC reduction in cultures bubbled with nitrogen gas or
air or not bubbled. (A and B) Changes in the abundance of CTC-positive
cells. (C and D) Mean levels of cell fluorescence. Panels A and C show
the results obtained with an unenriched bacterioplankton culture, and
panels B and D show the results obtained with the same culture enriched
with 0.01% yeast extract 4 h prior to the experiment. Note the
logarithmic abscissa for the samples taken between 30 s and 480 min after CTC was added.
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The distribution of cell activity changed dramatically over the time
course of CTC exposure (Fig.
8). Not only
did the mean
activity increase, but the maximum activity increased as
well.
A clear difference from the baseline value was not observed, even
after 120 min. The cell population at 120 min exhibited a wide
range of
activity level per cell.

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FIG. 8.
Representative activity histograms for three samples
obtained from the unenriched, static preparation in the bubble
experiment. While the mean and maximum CTF fluorescence values per cell
clearly increased with time of exposure to CTC, the positive population
never separated from the baseline, suggesting that there was a
continuum of activity which extended to below the detection levels.
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Dilution culture growth curve.
In a typical dilution culture,
bacterial abundance follows a pattern analogous to a logistic growth
curve; there are lag, exponential, and stationary phases, and
ultimately levels higher than the original in situ concentration are
reached (1, 28). In our experiment (Fig.
9A) enrichment shortened the lag time by
only about 2 h and did not affect the exponential growth rate, but
it resulted in a higher standing stock concentration of bacteria after
42 h compared to the unenriched preparation. The number of
CTC-positive cells began to increase prior to growth of the total
population, indicating that CTC-positive cells were the most active
cells. Between 14 and 18 h, the CTC-positive portion of the cells
began to increase, and the percentage of positive cells increased from
less than 10% to 16 and 24% for the unenriched and enriched
preparations, respectively. The initial concentration of CTC-negative
cells (data not shown) was higher, and the number of CTC-negative cells
began to increase between 18 and 24 h, after the CTC-positive
cells had begun to grow. The percentage of positive cells peaked in the
middle of the exponential phase (28 h), when the growth rate was
maximal (Fig. 9B). The mean CTF fluorescence per cell declined
sharply for both preparations during the lag phase, especially in
the first 4 h, when cell abundance showed virtually no change.
Fluorescence continued to decline until it reached a minimum at 28 h, which coincided with the time when the growth rates were maximal
(Fig. 9A) and the percentages of positive cells were maximal (Fig. 9B).
The amount of fluorescence per cell then increased during the
stationary phase in the enriched preparation, to near
the original level. The amount of cell fluorescence remained low,
however, in the unenriched preparation.

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FIG. 9.
Growth and CTC activity graphs for dilution cultures of
marine bacterioplankton that were either enriched with glucose,
NH4, and PO4 ( ) or not enriched ( ),
showing changes in the total cell abundance (A), the proportion of
CTC-active bacteria (B), and the mean level of CTC fluorescence per
cell (C). The dashed line in panel A indicates the in situ cell
concentration (1.2 × 106 cells ml 1).
The data in panels A and B are means based on triplicate samples, and
the coefficients of variation between replicates did not exceed 9%
(mean coefficient of variation, 3.7%). The data in panel C are means
based on triplicates samples, and each replicate value is the mean
value for between 200 and 20,000 cells (the mean coefficient of
variation for the triplicate samples was 2.9%, and the maximum
coefficient of variation was 9%).
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DISCUSSION |
Flow cytometry is a powerful tool for studying CTC activity in
natural bacterial populations. Not only can the total number of cells
and the number of CTC-positive cells be determined, but the amount of
CTF fluorescence per cell can also be measured. The efficacy of flow
cytometry for this application has been demonstrated previously for
lakes (10), and it was demonstrated in this study for the
first time for coastal marine bacteria. The fluorescence excitation and
emission spectra of CTF (Fig. 1) are compatible with standard flow
cytometer optics. Detection of CTF fluorescence in bacteria by flow
cytometry was better than detection by visual microscopy in our study
(Fig. 4). This contrasts with the results of del Giorgio et al.
(10), who compared more than 50 freshwater lake samples. The
difference in the results could be due to the difference in samples
(freshwater versus marine) or to the fact that del Giorgio et al. used
long CTC incubation periods (6 to 8 h) for microscope counting and
3-h incubation periods for flow cytometry.
Visual microscopy could undercount cells for a variety of reasons. CTF
photobleaching is one mechanism that clearly contributes to this
phenomenon (Fig. 2). Under the constant illumination of a microscope
lamp, the average CTC-positive cell lost 50% of its fluorescence in
less than 2 min. Stray excitation light could bleach cells that were
not directly in the field of view by scattering and reflection under
the coverslip. del Giorgio and Scarborough (11) observed
significant fading of CTF fluorescence, which was ameliorated by using
a commercially available antifade agent. Another possible factor is
dissolution of CTF in the immersion oil. A
2-(4-iodophenyl)-3-(4-nitrophenyl)-5-phenyltetrazolium chloride
(INT)-formazan precipitate has been found to leach or dissolve
out of cells stored in oil within 20 min (31). This effect
could be related to time and temperature and could result in the
observed gradual decline in the number of cells per field during
analysis. If this were important, then slides stored in the dark would
also lose fluorescence. The evidence obtained for this possibility with
CTC is mixed. We observed (data not shown) that on slides left at room
temperature for 24 h in room light there was no decrease in the
amount of CTF fluorescence per cell (as measured with the cooled
charge-coupled device camera). Similarly, Rodriguez et al.
(24) observed no reduction in the level of fluorescence in
immersion oil after several days of storage at room temperature. In
contrast, Choi et al. (7) reported that there was a decrease
in the number of CTC-positive cells on slides under oil within 1 day.
These factors were clearly not relevant to our flow cytometric analysis
since cells were not lost and cells did not lose significant
fluorescence while they were stored either in a refrigerator or in
liquid N2 (Table 1). During analysis, cells were exposed to
excitation illumination only very briefly.
On the basis of our CTC cell cytogram (Fig. 3D) and activity histograms
(Fig. 8) it appears that flow cytometry may not detect all CTC-positive
cells, since there is not a clear separation of positive cells from the
baseline. It is possible that some portion of the population reduces a
small amount of CTC and then stops respiring due to CTC toxicity
(32). If we assume that there is a limit (threshold) below
which a flow cytometer cannot detect CTF fluorescence in a cell and if
there is a continuum of sensitivities to CTC toxicity, then we could
imagine that cells reduce anywhere from a single molecule of CTC to the
detectable level and above. This would produce fluorescence histograms
like those which we observed, in which there is no clear separation from the baseline. Despite the possible incomplete detection by flow
cytometry, the CTC-positive cell counts were significantly higher when
cytometry was used than when visual inspection was used (Fig. 4). This
indicates that more cells are below the threshold for detection by eye
than are below the threshold for detection by flow cytometry. This may
explain why such a long CTC incubation time (8 h) is needed before the
numbers of active cells in natural lake samples are stable
(11). In contrast to the CTC counts, the total counts
determined by flow cytometry and visual microscopy were highly
correlated (Fig. 5), as observed by other researchers who used the new
blue-excited, nucleic acid-specific dyes, such as PicoGreen (20,
21).
Addition of SDT (Table 2) resulted in increases in the numbers of
CTC-positive cells, even when the cells were fixed first with
paraformaldehyde to stop their electron transport system (ETS)
reactions. The cells that became CTC positive either did not reduce CTC
or reduced an amount that was not detectable. After treatment with SDT,
the CTC in these cells was artificially reduced and became fluorescent.
These cells were a small proportion of the total cell population, but
they clearly contained CTC. We hypothesized that a high proportion of
the CTC-negative cells would be made positive by this treatment, but
this was not the case. This could have been due to a lack of transport
of CTC into the cells, a lack of reducing activity, or CTC toxicity. It
is also possible that the rinsing step removed CTC from the cells. Larger cells may have more intracellular space for CTC and may be the
cells that become visible upon reduction simply because they contain
more CTC. The ETS-CTC reactions in an active cell are catalytic, and
these reactions result in significant production and precipitation of
fluorescent product in many cells. The SDT-CTC reaction is not
catalyzed by enzymes, although it might be enhanced by the presence of
a small amount of crystallized product in the cell. In this case, cells
containing a small, undetectable amount of CTF may be made visible by
SDT treatment.
CTC reduction occurred very rapidly (Fig. 6), a result similar to the
time course results obtained by Zimmermann et al. (35), who
used the tetrazolium salt INT with natural lake bacteria. These authors
found that the maximum number of active bacteria was observed in the
first 2 min of incubation. Similarly, del Giorgio et al.
(10) observed very rapid uptake and reduction of CTC in lake
bacteria. The rapid reduction of CTC permitted short incubation times,
which minimized incubation artifacts and yielded results that were more
indicative of the in situ bacterial activity.
Preliminary observations (22a) of bacterial cultures
incubated with CTC with and without stirring suggested that CTC might not efficiently compete with oxygen for electrons from the electron transport system. The unstirred (static) culture produced more reduced
product than the stirred culture produced. Our experiment in which
bubbled nitrogen and air were used was designed to produce the
following three levels of oxygen available to the cells: low (nitrogen), intermediate (static), and high (air). Our results were therefore surprising (Fig. 7). The static treatment (intermediate O2 level) yielded more CTC-positive cells and a higher
level of fluorescence per cell whether the preparation was enriched or not, especially after 20 min of bubbling. The results obtained with the
two bubbled treatments were not consistently different. This led to the
possibility that bubbling itself reduced the respiratory activity of
the cells and to the possibility that the difference due to
bubbling-induced turbulence was greater than any difference due to
O2 levels. Previous experience with bacterial cultures could lead to the conclusion that bubbling, mixing, or turbulence should increase cell activity and growth. These cells used in the
experiments, however, were natural assemblages recently placed in
laboratory containers, and their reactions to turbulence may have been
different than the reactions of cells maintained in culture.
It is tempting to interpret the growth of cells in a dilution culture
(Fig. 9) as logistic growth. It should be kept in mind, however, that a
dilution culture is a complex mixture of an unknown number of bacterial
species from nature, not a single pure culture. In our experiment,
enrichment had remarkably little effect on the growth curves of the
cultures. This may have been due to a high level of labile dissolved
organic carbon in the ambient water at the time of sampling. The
proportion of CTC-positive cells was positively correlated with growth
rate in the dilution culture experiment (Fig. 9). The number of
CTC-positive bacteria began to increase before the size of the total
population increased and peaked when the growth rate was maximal (28 h). In both the enriched preparation and the unenriched preparation,
there was a second increase in the percentage of active cells. This
could have been due to a second, slower growing species that became dominant in the mixed culture. In the enriched preparation, the total
abundance and the percentage of CTC-positive cells continued to
increase until the end of the experiment at 68 h. Since the proportion of positive cells increased from less than 10% to
approximately 50% over the course of the experiment and the total
population size increased almost 2 orders of magnitude, the numbers of
CTC-negative cells increased as well (data not shown). There are at
least two possible explanations for this. First, there could have been
a subpopulation of cells that simply did not reduce CTC yet were active
and growing. This possibility cannot be ruled out by the data that are
available. Sherr et al. (25), however, examined a large
number of marine bacterial strains and reviewed the previously published data, and they did not find a single species that did not
reduce CTC. The second possible explanation is that the actively growing cells produced progeny, some portion of which became dormant or
inactive. This may be an effective survival strategy for cells living
in an environment containing low levels of easily assimilated dissolved
organic matter but having sporadic, unpredictable sources of dissolved
organic carbon.
The decrease in cell fluorescence as the growth rate increased (Fig.
9C) was not expected. It is interesting that the amount of fluorescence
per cell declined rapidly during the first 4 h of incubation,
prior to any change in the total or CTC-positive cell abundance. This
decline continued until a nadir was reached at the point of most rapid
cell growth (28 h). One possible explanation for this is simply that
the more rapidly growing cells were smaller and therefore had fewer
intracellular sites for CTC reduction. Coastal marine bacteria grown in
a similar way, however, are usually larger when they are growing
fastest (27). Cell sizes were not measured in this study, so
this remains speculative. The sharp initial decline observed is similar
to results (data not shown) obtained when simple sample collection and
placing samples in Teflon incubation bottles resulted in a rapid
decline in cell CTF fluorescence with no change in the number of total
or CTC-positive bacteria. This suggests that the data were an artifact
of sampling and containment, such as the artifact recently described by
Sherr et al. (26). It may be that bacteria in nature are
very sensitive to spatial organization at microscales. Results showing
that polymer gels are formed in seawater (4) and direct
observations of small-scale patchiness of bacteria in nature
(19) suggest that the spatial environment of bacteria in the
sea may be more physically and chemically structured than previously
thought (2).
Despite the fact that all actively respiring cells may not be
detectable by the CTC method, this method provides a measurable, quantifiable indicator of active, respiring cells. Choi et al. (6) came to a similar conclusion after they examined
CTC-containing preparations supplemented with antibiotics. These
authors concluded that CTC activity reveals the most active cells in a
mixed natural population. Sherr et al. (26) found that there
is a positive correlation between CTC-active bacteria and thymidine and
leucine incorporation rates for coastal and offshore marine bacteria. Several recent studies have demonstrated that there is a relationship between CTC reduction by bacteria and other measures of bacterial respiration in mixed or natural populations. Smith (30)
showed that CTC activity correlated with respiration of the microbial size fraction in Chesapeake Bay samples. Cook and Garland
(9) showed that in aerobic bioreactors respiration, as
measured by bulk changes in CO2 levels, correlated with the
integrated, single-cell CTF fluorescence of the mixed bacterial
assemblages, as quantified by image analysis.
We believe that the CTC method, coupled with automated cytometric
measurement, should allow studies to be done at temporal and spatial
scales that better correspond to the scales at which bacterial cells
live; that is, it should be possible to determine the respiratory
status of an individual cell as related to the current or recent
environmental conditions. Not only should a mean (or bulk) value be
available for bacterial respiration, but it should be possible to
examine variation within a mixed population and the distribution of
respiration across a cell population. Flow cytometric analysis of
single-cell activity under conditions that are very similar to in situ
conditions and with short incubation periods can yield important new
insights into the structure and functioning of the microbial food web
in the ocean.
 |
ACKNOWLEDGMENTS |
We thank Ed Thier, Javier Aristegui, Chris Sieracki, and Ted
Packard for help with various aspects of this work and interpretation of the results.
This work was supported in part by Maine Sea Grant summer student
internship NA76RG0084 to J.N. and by NSF grant OCE-9423535.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Bigelow
Laboratory for Ocean Sciences, 180 McKown Point Road, West
Boothbay Harbor, ME 04575. Phone: (207) 633-9600. Fax: (207)
633-9641. E-mail: MSieracki{at}Bigelow.org.
 |
REFERENCES |
| 1.
|
Ammerman, J. W.,
J. A. Fuhrman,
Å. Hagström, and F. Azam.
1984.
Bacterioplankton growth in seawater. I. Growth kinetics and cellular characteristics in seawater cultures.
Mar. Ecol. Prog. Ser.
18:31-39.
|
| 2.
|
Azam, F.
1998.
Microbial control of oceanic carbon flux: the plot thickens.
Science
280:694-696[Free Full Text].
|
| 3.
|
Carlson, C. A., and H. W. Ducklow.
1996.
Growth of bacterioplankton and consumption of dissolved organic carbon in the Sargasso Sea.
Aquat. Microb. Ecol.
10:69-85.
|
| 4.
|
Chin, W.-C.,
M. V. Orellana, and P. Verdugo.
1998.
Spontaneous assembly of marine dissolved organic matter into polymer gels.
Nature
391:568-572.
|
| 5.
|
Cho, B. C., and F. Azam.
1988.
Major role of bacteria in biogeochemical fluxes in the ocean's interior.
Nature
332:441-443.
|
| 6.
| Choi, J. W., B. F. Sherr, and E. B. Sherr. Dead or alive? A large fraction of ETS-inactive marine
bacterioplankton cells, as assessed by reduction of CTC, can become
ETS-active with incubation and substrate addition. Aquat. Microb.
Ecol., in press.
|
| 7.
|
Choi, J. W.,
E. B. Sherr, and B. F. Sherr.
1996.
Relation between presence-absence of a visible nucleoid and metabolic activity in bacterioplankton cells.
Limnol. Oceanogr.
41:1161-1168.
|
| 8.
|
Cole, J. J., and M. L. Pace.
1995.
Why measure bacterial production? A reply to the comment by Jahnke and Craven.
Limnol. Oceanogr.
40:441-444.
|
| 9.
|
Cook, K. L., and J. L. Garland.
1997.
The relationship between electron transport activity as measured by CTC reduction and CO2 production in mixed microbial communities.
Microb. Ecol.
34:237-247[Medline].
|
| 10.
|
del Giorgio, P. A.,
Y. T. Prairie, and D. F. Bird.
1997.
Coupling between rates of bacterial production and the abundance of metabolically active bacteria in lakes, enumerated using CTC reduction and flow cytometry.
Microb. Ecol.
34:144-145[Medline].
|
| 11.
|
del Giorgio, P. A., and G. Scarborough.
1995.
Increase in the proportion of metabolically active bacteria along gradients of enrichment in freshwater and marine plankton: implications for estimates of bacterial growth and production rates.
J. Plankton Res.
17:1905-1924.
[Abstract/Free Full Text] |
| 12.
|
Epstein, S. S., and J. Rossel.
1995.
Methodology of in situ grazing experiments: evaluation of a new vital dye for preparation of fluorescently labeled bacteria.
Mar. Ecol. Prog. Ser.
128:143-150.
|
| 13.
|
Fuhrman, J., and F. Azam.
1982.
Thymidine incorporation as a measure of heterotrophic bacterioplankton production in marine surface waters: evaluation and field results.
Mar. Biol.
66:109-120.
|
| 14.
|
Gasol, J. M.,
P. A. del Giorgio,
R. Massana, and C. M. Duarte.
1995.
Active versus inactive bacteria: size-dependence in a coastal marine plankton community.
Mar. Ecol. Prog. Ser.
128:91-97.
|
| 15.
|
Jahnke, R. A., and D. B. Craven.
1995.
Quantifying the role of heterotrophic bacteria in the carbon cycle: a need for respiration rate measurements.
Limnol. Oceanogr.
40:436-441.
|
| 16.
|
Kaprelyants, A. S., and D. B. Kell.
1993.
The use of 5-cyano-2,3-ditolyl tetrazolium chloride and flow cytometry for the visualization of respiratory activity in individual cells of Micrococcus luteus.
J. Microbiol. Methods
17:115-122.
|
| 17.
|
Karner, M., and J. A. Fuhrman.
1997.
Determination of active marine bacterioplankton: a comparison of universal 16S rRNA probes, autoradiography, and nucleoid staining.
Appl. Environ. Microbiol.
63:1208-1213[Abstract].
|
| 18.
|
Kirchman, D. L.
1993.
Leucine incorporation as a measure of biomass production by heterotrophic bacteria, p. 509-512.
In
P. F. Kemp, B. F. Sherr, E. B. Sherr, and J. J. Cole (ed.), Handbook of methods in aquatic microbial ecology. Lewis Publishers, Boca Raton, Fla.
|
| 19.
|
Krembs, C.,
A. R. Juhl,
R. A. Long, and F. Azam.
1998.
Nanoscale patchiness of bacteria in lake water studied with the spatial information preservation method.
Limnol. Oceanogr.
43:307-314.
|
| 20.
|
Labaron, P.,
N. Parthuisot, and P. Catala.
1998.
Comparison of blue nucleic acid dyes for flow cytometric enumeration of bacteria in aquatic systems.
Appl. Environ. Microbiol.
64:1725-1730[Abstract/Free Full Text].
|
| 21.
|
Marie, D.,
D. Vaulot, and F. Partensky.
1996.
Application of the novel nucleic acid dyes YOYO-1, YO-PRO-1, and PicoGreen for flow cytometric analysis of marine prokaryotes.
Appl. Environ. Microbiol.
62:1649-1655[Abstract].
|
| 22.
|
Monger, B. C., and M. Landry.
1993.
Flow cytometric analysis of marine bacteria with Hoechst 33342.
Appl. Environ. Microbiol.
59:905-911[Abstract/Free Full Text].
|
| 22a.
| Packard, T. Personal communication.
|
| 23.
|
Pomeroy, L. R.,
J. E. Sheldon, and W. M. Sheldon.
1994.
Changes in bacterial numbers and leucine assimilation during estimations of microbial respiratory rates in seawater by the precision Winkler method.
Appl. Environ. Microbiol.
60:328-332[Abstract/Free Full Text].
|
| 24.
|
Rodriguez, G. G.,
D. Phipps,
K. Ishiguro, and H. F. Ridgway.
1992.
Use of fluorescent redox probe for direct visualization of actively respiring bacteria.
Appl. Environ. Microbiol.
58:1801-1808[Abstract/Free Full Text].
|
| 25.
| Sherr, B. F., P. del Giorgio, and E. B. Sherr. Estimating abundance and single-cell characteristics of
actively respiring bacteria via the redox dye, CTC. Aquat. Microb.
Ecol., in press.
|
| 26.
| Sherr, E. B., B. F. Sherr, and C. T. Sigmon. Comparison of metabolic activity of marine bacteria during
incubation with activity of in situ bacterioplankton. Submitted for
publication.
|
| 27.
|
Sieracki, M. E.,
P. W. Johnson, and J. M. Sieburth.
1985.
The detection, enumeration and sizing of aquatic bacteria by image-analyzed epifluorescence microscopy.
Appl. Environ. Microbiol.
49:799-810[Abstract/Free Full Text].
|
| 28.
|
Sieracki, M. E., and J. M. Sieburth.
1986.
Sunlight-induced growth delay of planktonic marine bacteria in filtered seawater.
Mar. Ecol. Prog. Ser.
33:19-27.
|
| 29.
|
Sieracki, M. E., and C. L. Viles.
1992.
Distributions and fluorochrome-staining properties of sub-micrometer particles and bacteria in the North Atlantic.
Deep Sea Res.
39:1919-1929.
|
| 30.
|
Smith, E. M.
1998.
Coherence of microbial respiration rate and cell-specific bacterial activity in a coastal planktonic community.
Aquat. Microb. Ecol.
16:27-35.
|
| 31.
|
Tabor, P. S., and R. A. Neihof.
1982.
Improved method for determination of respiring individual microorganisms in natural waters.
Appl. Environ. Microbiol.
43:1249-1255[Abstract/Free Full Text].
|
| 32.
|
Ullrich, S.,
B. Karrasch,
H.-G. Hoppe,
K. Jeskulke, and M. Mehrens.
1996.
Toxic effects on bacterial metabolism of the redox dye 5-cyano-2,3-ditolyl tetrazolium chloride.
Appl. Environ. Microbiol.
62:4587-4593[Abstract].
|
| 33.
|
Veldhuis, M. J. W.,
T. L. Cucci, and M. E. Sieracki.
1997.
Cellular DNA content of marine phytoplankton using two new fluorochromes: taxonomic and ecological implications.
J. Phycol.
33:527-541.
|
| 34.
|
Viles, C. L., and M. E. Sieracki.
1992.
Measurement of marine picoplankton cell size by using a cooled, charge-coupled device camera with image-analyzed fluorescence microscopy.
Appl. Environ. Microbiol.
58:584-592[Abstract/Free Full Text].
|
| 35.
|
Zimmermann, R.,
R. Iturriaga, and J. Becker-Birck.
1978.
Simultaneous determination of the total number of aquatic bacteria and the number thereof involved in respiration.
Appl. Environ. Microbiol.
36:926-935[Abstract/Free Full Text].
|
Applied and Environmental Microbiology, June 1999, p. 2409-2417, Vol. 65, No. 6
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
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