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Applied and Environmental Microbiology, April 1999, p. 1516-1523, Vol. 65, No. 4
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Estimation of Bacterial Cell Numbers in Humic
Acid-Rich Salt Marsh Sediments with Probes Directed to 16S
Ribosomal DNA
Virginia P.
Edgcomb,1,*
John H.
McDonald,1
Richard
Devereux,2 and
David W.
Smith1
Department of Biological Sciences, University
of Delaware, Newark, Delaware 19716,1 and
National Health and Environmental Effects Research
Laboratory, Gulf Ecology Division, U.S. Environmental Protection
Agency, Gulf Breeze, Florida 325612
Received 30 October 1998/Accepted 29 January 1999
 |
ABSTRACT |
The feasibility of using probes directed towards ribosomal DNAs
(rDNAs) as a quantitative approach to estimating cell numbers was
examined and applied to study the structure of a bacterial community in
humic acid-rich salt marsh sediments. Hybridizations were performed
with membrane-bound nucleic acids by using seven group-specific DNA
oligonucleotide probes complementary to 16S rRNA coding regions. These
included a general eubacterial probe and probes encompassing most
members of the gram-negative, mesophilic sulfate-reducing bacteria
(SRB). DNA was extracted from sediment samples, and contaminating
materials were removed by a series of steps. Efficiency of DNA
extraction was 48% based on the recovery of tritiated plasmid DNA
added to samples prior to extraction. Reproducibility of the extraction
procedure was demonstrated by hybridizations to replicate samples.
Numbers of target cells in samples were estimated by comparing the
amount of hybridization to extracted DNA obtained with each probe to
that obtained with a standard curve of genomic DNA for reference
strains included on the same membrane. In June, numbers of SRB detected
with an SRB-specific probe ranged from 6.0 × 107 to
2.5 × 109 (average, 1.1 × 109 ± 5.2 × 108) cells g of sediment
1. In
September, numbers of SRB detected ranged from 5.4 × 108 to 7.3 × 109 (average, 2.5 × 109 ± 1.5 × 109) cells g of
sediment
1. The capability of using rDNA probes to
estimate cell numbers by hybridization to DNA extracted from complex
matrices permits initiation of detailed studies on community
composition and changes in communities based on cell numbers in
formerly intractable environments.
 |
INTRODUCTION |
Although bacteria are the most
abundant life forms on earth, knowledge of microbial community
structures and population dynamics is still minimal. An estimated 80 to
90% of microorganisms in soil are as yet unidentified (2),
and various researchers have detected enormous diversity in such
habitats. In particular, Torsvik et al. (37) found evidence
for as many as 104 different genomic equivalents in 1 g of forest soil, and in a study of Wisconsin agricultural soil,
Borneman et al. (7) found that only 4% of ribosomal DNA
(rDNA) clones sequenced were possible duplicates and that several
clades of microorganisms had no close relative in the ribosomal
database. This limited knowledge of microbial diversity results
primarily from our inability to culture and identify the majority of
indigenous bacteria. However, an ever-increasing suite of molecular
techniques makes it possible to study microbial community structure and
compare diversity across habitats (1).
Comparisons of diversity across microbial communities may lead to a
knowledge base applicable to a variety of environmental issues. It is
necessary to accurately measure changes in populations of microbial
community members, especially major components of the community, in
response to seasonal, natural, or anthropogenic changes and to identify
keystone species (9). Changes in the diversity and structure
of a microbial community could become manifested in the ecological
processes it mediates. However, difficulties with quantitative
investigations of microbial communities lie in the many types of bias
which are introduced by culturing or enrichment steps (1,
42), nucleic acid extraction and purification steps
(25), and PCR amplification of target genes (1, 17, 28,
36).
It is well recognized that probes targeting 16S rRNAs provide an
assessment of microbial community composition. Past studies with such
probes have used rRNAs as the hybridization target molecule. It is
possible to enumerate cells by using rRNA probes with in situ
microscopic techniques or flow cytometry. However, these methods are
not currently useful with all types of samples, particularly soils and
sediments. Additionally, targeted cells must have high rRNA contents in
order to be observed. Studies that employ rRNA probes with nucleic
acids extracted from a sample are considered quantitative with respect
to the amounts of rRNA measured (31). Hybridizations to rRNA
have been used previously to study microbial communities present in
anaerobic sewage digesters (31), mixed cultures
(29), freshwater sediments (26), biofilms
(3), and rumen contents (34). However, since the
amount of rRNA per cell may vary according to activity (13,
23), it is difficult to relate the amount of hybridized rRNA to
cell numbers. Therefore, a method was sought to estimate cell numbers
by hybridization of probes to extracted DNA, thereby providing a
different measure of community structure.
Soils high in clay or organic matter, such as marsh sediments, pose
particularly tough challenges to obtaining good yields of
high-molecular-weight DNA. Compounds present in soils and sediments, particularly humic acids, interfere with molecular reagents.
Principally, two approaches are used to recover DNA from environmental
samples: (i) concentration of microbial cells from within the
environmental sample followed by cell lysis and purification of nucleic
acids (19, 20, 21, 33) and (ii) direct lysis of microbial
cells within the environmental matrix followed by purification of
nucleic acids (6, 8, 30, 38, 40). Separation of cells from soil and sediment samples prior to lysis can be difficult. Differential centrifugation can separate many cells from the surrounding matrix, but
many bacteria grow in close association with soil or sediment particles
and may be tightly bound to soil colloids (8, 39, 43).
Recovery of cells from a sample by this method cannot be expected to be
quantitative, representative, or reproducible. In spite of the
potential for DNA to adhere to sediment particles, significantly higher
yields of DNA are recovered by direct extraction methods than by
methods involving cell recovery (6). For these reasons, an
approach to estimating DNA from cells lysed within the sample was
pursued in the present investigation.
The present study was undertaken to determine the feasibility of using
probes directed towards rDNA as a quantitative approach to the
estimation of cell numbers when hybridizations with membrane-bound nucleic acids are performed. The approach developed utilizes 16S rDNA
probes hybridized to DNA extracted from environmental samples. This
method should permit an estimate of "cellular abundance" in a
sample, whereas hybridizations to rRNA estimate relative rRNA
abundance. A quantitative and reproducible method for isolation and
analysis of genomic DNA from marsh sediments high in humic acids was
developed and evaluated for efficiency and reproducibility of
extraction. This DNA was then used in hybridizations with rDNA-targeted probes to determine the cellular abundance of various groups of sulfate-reducing bacteria (SRB) present in marsh sediments.
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MATERIALS AND METHODS |
Strains used.
Desulfococcus multivorans (ATCC 33890),
Desulfovibrio vulgaris (ATCC 33405), Desulfovibrio
desulfuricans (ATCC 13541), and Desulfobulbus
proprionicus (ATCC 33891) were generously provided by Martin Odom
of the DuPont Co., Glasgow, Del. Escherichia coli DH5
was
obtained from Stratagene. Desulfobacter postgatei (ATCC 33911), Thermus aquaticus (ATCC 31558), Bacillus
subtilis (ATCC 27505), and Desulfobacterium
autotrophicum (ATCC 43914) were obtained from the American Type
Culture Collection.
Study site and sample collection.
Marsh sediment samples
were taken on 24 June and 30 September 1996 from Canary Creek Marsh in
Lewes, Del. This marsh is characterized by a variety of vegetation
types and soil characteristics (16). The site is flooded at
most high tides. Three 2-g samples, separated horizontally from each
other by 2 cm, were taken from each marsh core (14 cm) with a sterile
scalpel 3 cm from the top marsh surface and placed in sterile,
preweighed 15-ml polypropylene tubes containing 4 ml of
phosphate-buffered saline (PBS) (10 mM NaHPO4 [pH 7.4], 137 mM NaCl, 2 mM KH2PO4, 3 mM KCl). These
tubes were kept on ice and processed in the laboratory within 3 h.
Upon return to the laboratory, samples were adjusted to 2 g of
sediment each as necessary by removing portions with a sterile scalpel.
Nucleic acid extraction.
Nucleic acid extraction was done by
modified versions of the methods of Tsai and Olson (40) and
Delgado and Wall (10). Sediment samples were held on ice in
4 ml of PBS in 15-ml tubes. Tubes were shaken at 150 rpm for 15 min at
room temperature in a Controlled Environment Incubator Shaker (New
Brunswick Scientific) and centrifuged for 10 min at 6,000 × g, and the supernatant was discarded. The process was repeated
twice with the addition each time of 4 ml of fresh, cold PBS. Washed
sediment was then ground to a fine powder under liquid nitrogen with a
porcelain mortar and pestle to assist in the release of cells that were
in close association with sediment particles. Each sample was
resuspended in 4 ml of lysis solution (0.15 M NaCl, 0.1 M
Na2-EDTA [pH 8.0]) containing 15 mg of lysozyme (Sigma)
ml
1 and 15 µg of lysostaphin (Sigma) ml
1
dissolved in TES (20 mM Tris-HCl [pH 7.5], 50 mM NaCl, 10 mM EDTA)
and incubated in a 37°C water bath for 2 h with agitation at
20-min intervals. After 1.5 h, 540 µl of 5 M NaCl and 540 µl of a 10% solution of hexadecylmethylammonium bromide (CTAB) in 0.7 M
NaCl were added to each tube for the remaining 30 min of incubation.
Four milliliters of 0.1 M NaCl-0.5 M Tris-HCl (pH 8.0)-10% sodium
dodecyl sulfate (SDS) was then added to each tube, and the samples were
incubated at 65°C for 15 min and placed in a
70°C freezer in a
dry ice-ethanol bath until further processed. Samples were then cycled
four times through freezing at
70°C and thawing at 65°C to lyse
the cells and release DNA. After the final thaw, the aqueous phase was
extracted twice with 3 ml of 1 M Tris-buffered phenol (pH 8.0) and then
twice with 3 ml of chloroform-isoamyl alcohol (24:1 mixture). The
phases were separated by centrifugation at 6,000 × g
for 10 min. The pellet obtained from the first extraction, which
consisted of sediment from the sample, was resuspended in 2 ml of 0.1 M
NaCl-0.5 M Tris-HCl (pH 8.0)-10% SDS and extracted once more with 1 ml each of phenol and chloroform-isoamyl alcohol. These extractions
were followed by two chloroform-isoamyl alcohol extractions to remove
residual phenol and reduce the contaminating iron compounds and humic
substances remaining in the sample. Samples were then precipitated
overnight at
20°C following the addition of a 10% volume of 3 M
NaAc, 5 µl of oyster glycogen (10 mg ml
1), and 2 volumes of 100% ethanol. DNA was pelleted the next morning by
centrifugation at 10,000 × g for 15 min, rinsed with
70% ethanol, and resuspended in 130 µl of TE (10 mM Tris, 1 mM EDTA
[pH 8.0]). RNA in crude extracts was removed by digestion with 20 µl of 10 mg of RNase A+T1 ml
1 at 37°C for
0.5 h. RNase was digested by overnight incubation with 40 µl of
SDS and 10 µl of proteinase K at 55°C. The DNA preparations at this
point were still brownish in color.
Purification of DNA samples.
DNA was further purified on
MicroSpin Sephacryl S-300 columns (Pharmacia Biotech) according to the
manufacturer's instructions with an Eppendorf model 541C
variable-speed centrifuge. The 200-µl DNA preparation was loaded onto
two MicroSpin columns (100 µl each). Eluents from the two columns
were combined, and DNA was stored at 4°C. Samples of purified DNA
were analyzed by agarose gel electrophoresis to determine the amount of
shearing associated with the purification process.
Oligonucleotide probes.
A suite of 16S rDNA oligonucleotide
probes was used (Table 1). These probes
were previously shown to encompass most members of the gram-negative,
mesophilic SRB, and the specificities of these probes were determined
previously (14, 15). Probes were labeled at their 5' ends
with [
-32P]ATP (3,000 mCi/mmol) (New England Nuclear),
as described before (15). Probes were purified on Nick
columns (Pharmacia) containing DNA-grade Sephadex G-50, according to
the manufacturer. Following purification, a 1-µl aliquot of the
preparation was measured in a liquid scintillation counter.
DNA dot blots.
Dot blots were prepared with a 96-well dot
blot apparatus (Bio-Rad) by use of an Immobilon-N membrane (Millipore).
The membrane was prewetted in 95% ethanol for 3 s and rinsed for
2 min in distilled H2O. The wetted membrane was then placed
in 100 ml of 10× SSC (1× SSC is 0.15 M NaCl plus 0.015 M sodium
citrate) buffer and allowed to equilibrate for 15 min. The volume of
sample loaded onto each well was brought up to 100 µl by addition of
40 µl of 1 M NaOH, 5 µl of 200 mM EDTA (pH 8.2), and
double-distilled ddH2O. For probing with the general
eubacterial and general sulfate reducer probes, the signal was expected
to be greater and therefore less DNA per sample was loaded onto those
membranes. Each DNA sample was boiled in a microcentrifuge tube for 10 min to denature the DNA. Samples were loaded quickly onto the dot
blotter and vacuum blotted onto the membrane. Each well was rinsed with
50 µl of 0.4 M NaOH, and the membrane was removed from the blotting
apparatus and rinsed for 5 min in 6× SSC, air dried, and then baked
for 1 h at 80°C to immobilize the DNA on the membrane.
Hybridization.
Membranes were placed in plastic bags and
heat sealed approximately 1 cm from the edge of the membrane on all
four sides. The prehybridization solution contained 6× SSC, 0.5% SDS,
5× Denhardt's solution (32), and 50 µg of polyadenylic
acid ml
1. The hybridization solution was identical to the
prehybridization solution and in addition contained 0.01 M EDTA and
labeled hybridization probe. Both solutions were vacuum filtered
through a 0.2-µm Nalgene filter flask prior to use. Prehybridization,
with buffer added to the bag at 100 µl cm of membrane
2,
was carried out for 3 h at 42°C for all probes. The membrane was
then gently transferred to a clean Ziploc bag, and hybridization solution was added at 150 µl cm of membrane
2. Probe was
added to the hybridization bag at a concentration of 20 ng of probe ml
of hybridization solution
1 and between 5 × 106 and 1 × 107 cpm ml
1 for
all experiments. Lower levels produced signal only after prolonged (24 to 120 h) exposure to X-ray film, and higher levels than this
produced unacceptable background. Hybridizations proceeded overnight at
42°C. Membranes were washed the next day in 150 ml of a room
temperature solution of 6× SSC-1% SDS for 30 min inside a clean
plastic container. The wash buffer was changed twice during the 30-min.
Membranes were then placed in containers of 1× SSC-0.5% SDS which
had been preequilibrated to the optimum final stringency wash
temperature for each probe (Table 1). This final wash was performed for
1 h, with two buffer changes during this time. Membranes were
blotted gently on a clean paper towel, placed between sheets of plastic
wrap, and exposed to Kodak BioMax film with an intensifying screen at
70°C until a clear signal appeared on the X-ray film (between 1 and
16 h).
Image processing.
A video image of the autoradiograph was
captured with a Gel Doc 1000 Densitometer (Bio-Rad). Signals were
quantified by using Molecular Analyst software for Bio-Rad's Image
Analysis Systems, version 2.1, on a Macintosh computer, and images were
exported to NIH Image and Adobe Photoshop.
The elliptical volume integration tool was chosen to identify the image
areas to be integrated. The same-sized area was used to quantify all
spots on the membrane. The quantifiable range of intensity was limited
to the linear range of the X-ray film, up to approximately 2.0 optical
density units. X-ray film exposures were therefore adjusted carefully
to achieve a range of signal intensity that was not overexposed and was
within the range of signals from the standards on each membrane. In
some cases it was necessary to use two different exposure times in
order to obtain the proper exposure for all samples on one membrane. In these cases, data from the two exposures were combined by using standards in the appropriate concentration range for each exposure. Local background from individual areas was subtracted from the signal.
Samples were rerun on a separate membrane with a new set of standards
in cases in which there were interfering background spots in close
proximity to sample spots.
Generation of a standard curve to quantify hybridization
signals.
Amounts of DNA detected in marsh sample extracts were
determined by comparison to hybridization signals obtained with DNA standards included on each membrane. The range of standard
concentrations used was based on trial runs in which the amount of
signal from a sample relative to that from standards of known
concentration was compared. E. coli was used as a standard
for membranes probed with EUB-338 (bacteria), D. multivorans
was used for SRB-814, D. proprionicus was used for SRB-660
(Desulfobulbus spp.), D. postgatei was used for
SRB-129 (Desulfobacter spp.), D. autotrophicum was used for SRB-221 (Desulfobacterium spp.), and D. vulgaris was used for SRB-667 (Desulfovibrio spp.).
Conversion of data to cell numbers.
Amounts of DNA detected
were converted to nanograms of DNA per gram of marsh sediment. An
estimate of the average amount of DNA per cell for pure cultures
belonging to the groups targeted by the suite of probes used in this
study was determined for use as a conversion factor. Four replicate
20-ml cultures of organisms chosen to represent the bacterial types
targeted by each probe were grown to mid-log phase. Cells were counted
microscopically with a Petroff-Hauser counting chamber, and the results
obtained from the four cultures were averaged. DNA preparations were
made by the Delgado and Wall protocol (10). The resulting
DNA was measured on a Hoeffer Spectrophotometer (260 nm), and the
results for the four preparations were averaged. The average DNA yield per milliliter of culture was divided by the average cell count per
milliliter to obtain an estimate of DNA per cell. Extraction efficiency
was measured by performing the same extraction procedure with three
20-ml control tubes of TE containing 1 µg of E. coli genomic DNA. Estimates of DNA per cell for each representative bacterial type were then adjusted for extraction efficiency. Amounts of
DNA obtained per gram of marsh sediment were divided by the adjusted
amount of DNA per cell to estimate numbers of cells per gram of marsh sediment.
Reproducibility of DNA preparation and purification.
To
determine whether equivalent hybridization signals would be produced on
X-ray film by replicate environmental samples, three parallel DNA
extractions were performed from each of two 2-g sediment samples. Each
of the sediment homogenates in PBS was divided into three equal parts
by weight. Aliquots (100 µl) of the resulting three DNA preparations
were spotted on two different membranes. One membrane was hybridized to
the Desulfococcus probe 814 (15) and the other to
the general SRB probe 385 (3, 5). The image was imported
into Molecular Analyst (Bio-Rad) and quantified by densitometry, as
described above. Hybridization signals were compared to signals
obtained from a set of DNA standards of known concentration.
To address the question of whether the extraction and purification
steps resulted in loss of DNA, tritium-labeled plasmid DNA was added to
four different sample tubes containing PBS and marsh sediment. The
amount of tritium recovered at the end of the extraction was
quantified. Tritium was used since its signal would not interfere with
the signal from the 32P-labeled probes subsequently used on
the same samples. Plasmid pBR322 was nick translated with
[2,8-3H]ATP (specific activity, 30 Ci/mmol) according to
the protocol in the Amersham nick translation kit N5500. The
nick-translated plasmid (2.5 ng/µl) was purified on a Nick column
(Pharmacia) according to the manufacturer's protocol. Of the 400-µl
volume of purified tritium-labeled plasmid, 87.5 µl was used to spike each of the four sediment samples. At the end of the DNA preparation and purification steps, a 20-µl aliquot of DNA was removed from each
of the four tubes containing labeled plasmid and measured on a
scintillation counter. This represented 10% of the final volume of the
DNA preparation. Thus, 10% (8.75 µl) of the initial volume of
labeled plasmid suspended in distilled water was used to determine the
counts added prior to the extractions.
As the DNA preparations obtained from marsh sediments had varying
amounts of slightly amber-colored discoloration due to humic substances
remaining after purification steps, it was necessary to account for
possible quenching of the scintillation counter readings used to
measure recovery of the DNA. Therefore, 8.75 µl of labeled plasmid
was added to 11.25 µl of distilled H2O and measured on
the scintillation counter. The result was compared to counts obtained
from addition of 8.75 µl of labeled plasmid DNA to very dirty (dark
brown), unpurified marsh sediment DNA.
 |
RESULTS |
DNA extraction.
The combined supernatants from PBS washes
failed to yield DNA that was detectable with a Hoeffer DNA fluorometer
or on agarose gels after precipitation with ethanol and concentration
(results not shown). Washing sediment samples with PBS therefore caused negligible losses of DNA and/or cells. The average size of the DNA
obtained by the extraction procedure was ca. 8.6 kb, as was visualized
after agarose gel electrophoresis (Fig.
1).

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FIG. 1.
DNA preparations examined for shearing. Purified DNA
from marsh sediment samples (lanes 1 to 8) is shown; 10 µl of each
purified DNA preparation was loaded per lane. Lambda DNA digested with
DraI was used as a marker (lane 9). Fragment sizes are given
in kilobases.
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Reproducibility was tested by the recovery of tritium-labeled plasmid
DNA tracer added to each of four randomly chosen sediment samples.
Tritium was efficiently measured by scintillation counting even in
dirty, humic-contaminated DNA samples. Replicate counts of tritiated
plasmid DNA in distilled water and in two different randomly chosen DNA
preparations prior to spin column purification, equivalent to the
amounts of tritiated plasmid added to each of four washed sediment
samples, were 5.88 × 104 and 6.02 × 104
cpm and 6.38 × 104 and 5.94 × 104 cpm,
respectively. Results from the four randomly chosen sediment samples at
the end of purification steps were 2.79 × 104,
2.96 × 104, 3.0 × 104, and 2.9 × 104 cpm. The small deviation indicates that extraction
efficiency did not vary between samples. From the average of the two
original activity measurements and the average of the four recovered
activities, there was 48% recovery of the DNA from the original
samples. Final calculations of cell numbers detected were corrected to
account for this recovery rate.
Reproducibility was further tested by dividing each of two sediment
samples equally into three parts by weight, preparing parallel DNA
preparations, and hybridizing each set of three preparations with one
of two probes. These parallel preparations produced very consistent
hybridization results (Fig. 2). In
comparison to known amounts of DNA, one set of three replicate
preparations probed with the SRB-385 (general SRB) probe produced
detectable DNA concentrations of 1,130, 1,110, and 1,160 (average,
1,133 ± 25) ng of DNA g of sediment
1, and the other
set of three replicate preparations probed with the SRB-814
(Desulfococcus) probe produced detectable DNA concentrations of 546, 605, and 628 (average, 593 ± 42) ng of DNA g of
sediment
1 (see Table 3).

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FIG. 2.
Replicate DNA preparations hybridized with the SRB-385
(general SRB) (A) and SRB-814 (Desulfococcus) (B) probes.
From one 2-g sediment sample, three preparations were made and compared
to a set of standards of known concentration (data not shown). Images
were prepared with NIH Image and Adobe Photoshop 5.0.
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The extraction efficiency of pure cultures used as standards, based on
recovery of added tritiated plasmid DNA, was found to average 70%
(±4%). Estimates of DNA per cell for each representative bacterial
type used to calculate cells per gram of sediment from the amount of
DNA detected by each probe were corrected to account for this
extraction efficiency prior to use as a conversion factor (see Table
2).
Specificity tests and optimization of hybridization
conditions.
Specificity of the probes had previously been tested
only against rRNA (15). It was therefore necessary to
evaluate the probes in hybridizations against DNA. DNA purified from
pure cultures of target and nontarget species was spotted on a membrane
in a range of concentrations and hybridized to a single probe. All probes used in this study, when used at the optimum temperature (Table
1) previously determined with RNAs, yielded strong signals with target
DNA and undetectable signals with nontarget DNA. The limit of detection
for hybridization to nontarget DNA was <0.1% of the hybridization
obtained with the same amount of target DNA. As shown in Fig.
3, the group-specific probes demonstrated
the intended specificity when hybridized with DNA. A goal of the
optimization study was to maximize the signal detected by X-ray film
while preventing nonspecific binding of the probe to nontarget DNA and minimizing the background signal. Parameters experimentally manipulated were temperatures of hybridization and washes, salt concentrations in
prehybridization, hybridization and wash solutions, blocking reagents
and their concentrations in prehybridization and hybridization solutions, and time durations of washes. The final protocol derived is
that described in Materials and Methods.

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FIG. 3.
Probe specificity tests. Membranes were hybridized with
the indicated probe (target group). DNAs (1 µg per spot except in
bottom rows of panels B and C, where 500 ng per spot was used) are
listed as they appear on membranes from top left to bottom right. (A)
EUB-338 (general eubacteria). DNAs: E. coli, D. vulgaris, T. aquaticus, marsh sample, B. subtilis, D. postgatei, D. autotrophicum,
D. multivorans, D. desulfuricans. (B) SRB-385
(general SRB). DNAs: E. coli, D. proprionicus,
D. desulfuricans, D. postgatei, D. multivorans, B. subtilis, T. aquaticus.
(Bottom row shows lower concentrations of the same nucleic acids.) (C)
SRB-129 (Desulfobacter spp.). DNAs: D. autotrophicum, D. postgatei, D. vulgaris,
D. multivorans, D. proprionicus, E. coli. (Bottom row shows lower concentrations of the same nucleic
acids.) (D) SRB-687 (Desulfovibrio spp.). DNAs: D. vulgaris, D. multivorans, D. postgatei,
E. coli, D. proprionicus, D. autotrophicum. (E) SRB-221 (Desulfobacterium spp.).
DNAs: D. autotrophicum, D. desulfuricans,
D. proprionicus, D. multivorans, D. postgatei, E. coli. (F) SRB-660
(Desulfobulbus spp.). DNAs: E. coli, D. multivorans, D. proprionicus, D. vulgaris,
D. autotrophicum, D. postgatei, B. subtilis, D. desulfuricans. (G) SRB-814
(Desulfococcus spp.). DNAs: D. vulgaris, D. multivorans, D. postgatei, E. coli, D. proprionicus, D. autotrophicum. Images were prepared
with NIH Image and Adobe Photoshop 5.0.
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Background signal in Southern hybridizations was partially reduced by
adding blocking reagents to the prehybridization buffer, i.e.,
Denhardt's solution, SDS, heterologous DNA (salmon testes DNA
[Sigma]), casein, and nonspecific RNAs (Sigma). Decreasing the SDS
concentration to below 0.5% in prehybridization and hybridization solutions caused excessive background signal. Although increasing the
concentration of SDS to higher than 0.5% had the effect of decreasing
background, presumably by breaking nonspecific interactions, target
signal was also reduced. Maximum Strength Nytran (Schleicher and
Schuell) was tested with 6× SSPE (1× SSPE is 0.18 M NaCl, 10 mM
NaH2PO4, and 1 mM EDTA [pH 7.7])-1%
SDS-10× Denhardt's solution-50 µg of denatured heterologous DNA
ml
1-20 µg of tRNA ml
1 in the
prehybridization solution and with 6× SSPE-1% SDS in the hybridization solution. The level of nonspecific binding to the membrane was high, even at increased SDS concentrations. Maximum Strength Nytran was also tested with 5× SSC or 1× SSC-5%
casein-1% SDS in the prehybridization and hybridization solutions.
Signal from target DNA was increased by reducing the casein
concentration to 2% in the hybridization solution, but background
increased noticeably. For both Maximum Strength Nytran protocols, lower SDS concentrations in the prehybridization and hybridization solutions caused excessive background signal while use of more SDS reduced the
target signal. 1× SSC buffer reduced background. Casein was not used,
because background interference remained an intermittent problem. The
Immobilon-N membrane gave consistently cleaner images with these DNA
samples than did hybridizations performed with Nytran membranes.
In general, the higher the temperature of the final stringency wash,
the less background and nonspecific binding was observed. Variations of
only 2 to 3°C made a significant difference not only in the
specificity of probe binding to target DNA but also in reduction of
background signal. The calculated melting temperature (Tm) was used as a starting point for
optimization tests for final wash temperatures, and 2°C increments
from 10°C above and below the Tm were used
until an optimal signal-to-noise ratio and probe specificity could be
determined. Table 1 shows the final wash temperatures for each of the
probes used in this study. Experiments using DNA from pure cultures
required less wash stringency to remove background signal.
Less-stringent conditions allowed for the detection of lower DNA
concentrations, indicating that with environmental soil and/or sediment
samples, thresholds of detection are higher than for pure cultures due
to contaminants remaining in the DNA preparations and necessitating
more-stringent wash conditions. The threshold of detection for this
suite of probes under the conditions described above was 5 ng of DNA.
Presented are the results of a sensitivity test using the
Desulfobacterium probe (SRB-221) (Fig.
4). Results for the other probes were
essentially the same (data not shown). For sediments lower in humic
contaminants, thresholds of detection are likely to be lower than in
this study. After optimizing the hybridization conditions for each
probe individually, it was possible to discriminate between target and
nontarget bacterial groups on the resulting autoradiograph image.

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FIG. 4.
Probe sensitivity test. D. autotrophicum DNA
was probed with SRB-221. Amounts of genomic DNA spotted (left to
right): 100, 80, 40, 20, 10, 5, and 2.5 ng. Image was prepared with NIH
Image and Adobe Photoshop 5.0.
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|
Optimization of the signal-to-noise ratio was more difficult for some
of the probes than for others. Interference from background noise was
controlled to some extent by shortening the time of exposure to X-ray
film, reducing the concentration of probe added to the hybridization
reaction mixture to no more than 25 ng ml
1, and
increasing the length and temperature of the final stringency wash. The
Desulfobulbus and Desulfovibrio probes (SRB-660
and SRB-687, respectively) were the most difficult to optimize. These two probes generated above-average nonspecific binding of probe to the
membrane throughout trials with all tested variables.
DNA contents.
Studies with pure cultures were undertaken to
estimate their cellular DNA contents in order to extrapolate amounts of
DNA detected in marsh sediments to cell numbers. Results of cellular DNA content determinations are shown in Table
2. The estimated genomic DNA content for
E. coli was 6.9 fg. This is 38% higher than the previously
reported genome size value of 5.0 fg (17). Estimates of the
DNA contents for the SRB examined ranged from 3.1 fg
cell
1 (for D. postgatei) to 7.3 fg
cell
1 (for D. proprionicus). Devereux et al.
(12) estimated the genome sizes of several SRB species by
pulsed-field gel electrophoresis. The genome sizes of D. vulgaris and D. proprionicus that they obtained were
3.6 and 3.7 Mb, respectively. Assuming one chromosome per cell, these
sizes correspond to 3.9 to 4.1 fg cell
1. The estimates of
DNA content per cell determined in this study for D. vulgaris and D. proprionicus were 60 and 94% greater,
respectively. The differences in values determined in this study are
acceptable considering that actively replicating cells contain greater
than one genome equivalent of DNA. Estimation of cell numbers in
environmental samples may therefore tend to be conservative.
Estimation of cell numbers.
Aliquots of each genomic DNA
preparation from marsh sediment samples and DNA from pure cultures,
used to generate the standard curve, were spotted on the same membrane
when hybridized. The range of DNA standard concentrations (5 to 4,000 ng) and the volume of DNA for all marsh sediment samples on a
particular membrane (10 to 30 µl) were selected based upon the
expected amount of DNA targeted by the probe used. Reproducibility of
the standards was monitored in some cases by including replicate spots
of the series. The r2 values for regression
lines based on signals from the standards were >0.95. The amount of
sample DNA loaded onto each membrane was also varied from membrane to
membrane to achieve the best signal-to-noise ratio.
The concentration of cells in a sediment sample for each sample-probe
combination can be determined by dividing the amount of genomic DNA
detected with a probe by the amount of DNA per target cell (Table
3). The calculations include correction
factors to account for the efficiencies of DNA recovery from both
sediment samples and pure cultures. By determining the genomic DNA
contents of the strains used to generate the standard curve on the
hybridization membrane, the amount of rDNA probe hybridizing to the DNA
extracted from sediment can be related to genome equivalents and hence
to cell concentrations. This method may underestimate cell numbers in a
sample, since the DNA contents of cells used as standards were
determined with rapidly growing cultures which might contain greater
than one genome equivalent per cell.
For the general SRB probe, conversion was obtained by averaging the
calculated amounts of DNA per cell for the SRB genera studied. This
value was 5.7 fg cell
1. In June, numbers of SRB detected
with the SRB-specific probe ranged from 6.0 × 107 to
2.5 × 109 (average, 1.1 × 109 ± 5.2 × 108) cells g of sediment
1. In
September, numbers of SRB detected ranged from 5.4 × 108 to 7.3 × 109 (average, 2.5 × 109 ± 1.5 × 109) cells g of
sediment
1. Previous studies in the same marsh detected
ca. 107 SRB g of sediment
1 in samples
collected from November 1977 to August 1978 (16) and ca.
107 lithotrophs (sulfur and ammonia oxidizers) in samples
collected from January to May 1978 (24) by
most-probable-number analysis. The higher numbers detected in this
study may be attributed to the ability of direct molecular techniques
to detect populations that evade cultivation in the laboratory.
 |
DISCUSSION |
Analysis of microbial community structure is fraught with
experimental bias. Although any method is inherently biased,
understanding and minimizing the biases will afford the most accurate
analysis of sediment microbial communities possible. As with other
methods involving hybridization of probes to nucleic acids from
environmental samples, probes have been designed based on sequences
from cultured organisms, and they will therefore be incapable of
detecting an unknown percentage of the natural population. We describe
here a quantitative method of microbial community structure analysis which avoids PCR, culturing, and enrichment steps; minimizes some of
the sources of bias inherent in soil nucleic acid extractions; and
provides reproducible results with sediment samples at a threshold of
detection of ca. 8 × 105 cells g of
sediment
1.
There are advantages and disadvantages to both rRNA- and rDNA-targeted
hybridizations. DNA is more resistant to nuclease attack (enzymatic or
divalent metals) and can withstand harsher purification steps. The
greatest source of bias in DNA extraction from soil and sediment comes
from adhesion and binding of free DNA from cells that have lysed to
clay particles. During the DNA preparation protocol, it is difficult to
separate this free DNA from the sample and may lead to a lower recovery
rate. A portion of the 52% loss of DNA during the purification
protocol described above can be attributed to binding of plasmid DNA to
clay particles present in the sediment samples. This free DNA can also
represent the remnants of dead cells present in the environmental
sample. Such DNA is stable and persistent, making it difficult to
quantify the contribution to total detected hybridization signal from
dead cells. The use of a tritium-labeled plasmid as a standard for DNA
recovery from a sediment sample could be improved upon, perhaps with
the use of tritiated cells.
RNA is considered a more attractive target than DNA because it is of
lesser sequence complexity and is naturally amplified. However, the
probability of the random occurrence of a nonspecific target sequence
in DNA becomes very small with oligonucleotide probes of the size used
in this study. Also, because oligonucleotides are short, mismatches in
hybridizations are highly destabilizing so that oligonucleotides have a
high degree of specificity (35). However, RNA-based
techniques are very useful for evaluating the metabolic status of
single cells in environmental samples (27) or of
populations, since rRNA content generally increases with growth rate
(1). Since the rRNA content of cells is high, rRNA is an
excellent target for in situ studies. However, at present in situ
observations are generally possible only in relatively clean matrices
or with natural samples having highly enriched microbial populations.
The high rRNA copy number also enhances the sensitivity of detection
with membrane-bound nucleic acids, and because of the smaller size of
rRNA, more rigorous nucleic acid extraction techniques can be used,
possibly retrieving a larger number of targets (1). However,
different bacterial types do not always contain the same amounts of
rRNA, and even within one targeted group, more metabolically active
cells will have proportionally more RNA, contributing to a stronger
signal (11). Additionally, the ribosome content of different
species will vary between 103 and 105 ribosomes
per cell (1). For these reasons, it is difficult to estimate
cell numbers from hybridizations to rRNA extracted from environmental samples.
Studies with growing cultures have shown E. coli to have an
average of 2.1 genome copies cell
1. Similarly, D. vulgaris may contain 4 copies cell
1, and Wall
(41) has shown that Desulfovibrio gigas can have between 4 and 17 genome copies cell
1 depending on growth
conditions. Bacteria in sediments are not likely to achieve the growth
rates attained by those growing in the laboratory. Their genome copy
number would be expected to remain low. In a regression analysis of
hybridization signals, the amount of DNA detected in an environmental
sample should therefore closely correlate with genome equivalents and
hence cell numbers used in the array of hybridization standards.
Variations in rRNA gene copy number should not introduce significant
error, particularly with probes that target a phylogenetically closely
related group of organisms. rRNA gene copy numbers should be
essentially congruent between detected strains and strains used to
generate standards. However, error should be expected when probes that
target broader phylogenetic groups are used. Such errors might be
greater than severalfold. However, the inferred cell numbers should
still be of environmental significance. As previously described, rRNA
probes may also underestimate cell numbers by missing an unknown
percentage of the target population or by overestimating cell numbers
if hybridization to nontarget groups occurs. Evaluation of these errors
could be accomplished with the use of nested probes, a suite of probes
with varying phylogenetic breadths (1, 13).
The capability of using rDNA probes to estimate actual cell numbers by
hybridization to DNA extracted from complex matrices permits initiation
of detailed studies on community composition and changes in the
community based on cell numbers in formerly intractable environments.
In fact, it should not go unnoticed that hybridization of rDNA probes
to both DNA and rRNA obtained from a single sample will provide not
only quantitative information on community structure but also
information about which populations are the most active.
 |
ACKNOWLEDGMENTS |
We thank those involved in collection of marsh samples
Dan Wood,
Alison Hunt, Mark Keese, and Erin Mayo
and M. Khalequzzaman, who
performed all marsh coring.
 |
FOOTNOTES |
*
Corresponding author. Present address: Marine
Biological Laboratory, 7 MBL St., Woods Hole, MA 02543. Phone: (508)
289-7393. Fax: (508) 457-4727. E-mail:
edgcomb{at}evol5.mbl.edu.
 |
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