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Applied and Environmental Microbiology, September 1999, p. 3982-3989, Vol. 65, No. 9
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
High Bacterial Diversity in Permanently Cold
Marine Sediments
Katrin
Ravenschlag,
Kerstin
Sahm,*
Jakob
Pernthaler, and
Rudolf
Amann
Molecular Ecology Group, Max-Planck-Institute
for Marine Microbiology, D-28359 Bremen, Germany
Received 2 April 1999/Accepted 2 July 1999
 |
ABSTRACT |
A 16S ribosomal DNA (rDNA) clone library from permanently cold
marine sediments was established. Screening 353 clones by dot blot
hybridization with group-specific oligonucleotide probes suggested a
predominance of sequences related to bacteria of the sulfur cycle
(43.4% potential sulfate reducers). Within this fraction, the major
cluster (19.0%) was affiliated with Desulfotalea sp. and
other closely related psychrophilic sulfate reducers isolated from the
same habitat. The cloned sequences showed between 93 and 100%
similarity to these bacteria. Two additional groups were frequently
encountered: 13% of the clones were related to Desulfuromonas palmitatis, and a second group was affiliated with
Myxobacteria spp. and Bdellovibrio spp. Many
clones (18.1%) belonged to the
subclass of the class
Proteobacteria and were closest to symbiotic or free-living
sulfur oxidizers. Probe target groups were further characterized by
amplified rDNA restriction analysis to determine diversity within the
groups and within the clone library. Rarefaction analysis suggested
that the total diversity assessed by 16S rDNA analysis was very high in
these permanently cold sediments and was only partially revealed by
screening of 353 clones.
 |
INTRODUCTION |
Coastal and shelf sediments play a
significant role in the remineralization of organic matter. In shelf
areas, an estimated 32 to 46% of the primary production settles to the
sea floor (54). While part of it is permanently buried, the
majority of this detrital material is reoxidized, mainly through the
action of prokaryotes (54). Steep redox gradients provide
niches for a wide variety of metabolically diverse microorganisms, and
O2, NO3
, manganese and iron
oxides, and SO42
have been identified as the
most important electron acceptors in marine sediments (3,
19). The various processes of microbial carbon mineralization can
be quantified by tracer techniques, and their importance for
biogeochemical cycles in the marine environment is recognized; however,
little is known about the microbial community responsible for them.
Few cultivation-independent studies of microbial diversity in marine
sediments have been conducted (6, 15, 22, 43). The sequences
recovered in these studies revealed the presence of mainly unknown
organisms only distantly related to known isolates. To further uncover
microbial diversity in marine shelf sediments and to identify
potentially dominant groups in this habitat, we constructed a 16S
ribosomal DNA (rDNA) clone library using general bacterial primers to
amplify the almost complete gene.
The screening process was tested by statistical analysis to evaluate
whether we had covered total diversity in our clone library by
screening 353 clones. Species diversity can be considered to be
composed of two components: species richness (the number of species in
a community) and species evenness (the distribution of levels of
abundance among the species). Two types of analyses have been used to
assess diversity. Rarefaction is a statistical technique for different
applications in an ecological context and gives an estimation of the
decrease in apparent species richness of a community with decreasing
subsample size (50). A second approach to evaluate whether
diversity within a subsample approaches diversity within a sample of
infinite size is to calculate coverage (14). Coverage
(C) values are calculated by the equation C = 1
(n/N) × 100, where n is the number of
unique clones and N is the total number of clones examined.
We chose to study permanently cold sediments because 90% of the sea
floor has temperatures below 4°C (25). During a cruise to
the Arctic Ocean in September and October of 1995, several studies of
different aspects of microbial life in this habitat, such as the
determination of prokaryotic abundance and the profiling of prokaryotic
rRNA (47, 48), were conducted. Temperature dependence was
determined, rates of polysaccharide hydrolysis (2) and
sulfate reduction were measured (46), and psychrophilic sulfate reducers were enriched (23). Furthermore, benthic
exchange and mineralization rates were determined (12, 24).
All the above-described studies indicated an active microbial community with metabolic rates comparable to those of temperate habitats. Forty-two percent of total benthic mineralization was due to sulfate reduction at the station sampled for the clone library (46). Here and in the accompanying paper (48), we describe the
phylogenetic affiliation and diversity of the prokaryotic community and
quantify the contribution of sulfate-reducing bacteria (SRB) to the
total microbial community.
 |
MATERIALS AND METHODS |
Study site.
Sediment samples were collected at Hornsund off
the coast of Spitsbergen, Arctic Ocean, in September and October of
1995. The bottom water temperature was 2.6°C (47), and
sediments were anoxic below a depth of approximately 8 mm
(12). For a detailed description of the sampling procedure,
see the report of Sahm and Berninger (47).
DNA extraction and purification.
Total community DNA was
extracted directly from the sediment as described by Zhou et al.
(55). The protocol encompassed three cycles of freezing and
thawing, chemical lysis in a high-salt extraction buffer (1.5 M NaCl)
by heating of the suspension in the presence of sodium dodecyl sulfate
(SDS) and hexadecyltrimethylammonium bromide, and a proteinase K step.
It was slightly modified by performing only two SDS extraction steps.
Aliquots of 2 g of wet sediment of different sections (0 to 2, 3 to 6, and 8 to 11 cm) from duplicate cores were used for DNA
extraction. Extracted DNAs were finally combined. The crude DNA was
purified with the WIZARD DNA Clean Up System (Promega, Madison, Wis.).
DNA yield was quantified photometrically. Per cubic centimeter of wet
sediment, 11.5 µg of DNA was recovered. High-molecular-weight DNA was
cut out of an agarose gel and extracted with a GeneClean II Kit (Bio
101 Inc., La Jolla, Calif.) by following the manufacturer's
instructions. Approximately 40% of the crude DNA was recovered after
this step.
Cell lysis efficiency.
Cell lysis efficiency of the DNA
extraction procedure was checked by enumerating the total number of
4',6-diamidino-2-phenylindole (DAPI)-stained cells in aliquots of
sediments taken before and after cell lysis. Ninety-three percent ± 3.4% of the microorganisms were lysed.
PCR amplification of 16S rDNAs.
Two universal bacterial
primers, EUB008 (17) and EUB1492 (20), were used
to amplify 16S rDNAs from the extracted and purified chromosomal DNAs.
PCR was performed with a model PHC-3 Temperature Cycler (Techne,
Cambridge, United Kingdom) as follows: 50 pmol of each primer, 2.5 µmol of each deoxyribonucleoside triphosphate, 300 µg of bovine
serum albumin, 1× PCR buffer, and 1 U of Super Taq DNA
polymerase (HT Biotechnology, Cambridge, United Kingdom) were adjusted
to a final volume of 100 µl with sterile water. Template DNA (80 to
500 ng) was added to the reaction mixture (preheated to 70°C) to
avoid nonspecific annealing of the primers to nontarget DNA. The cycles
used were as follows: 1 cycle at 70°C for 1 min; 33 cycles at 95°C
for 1 min, 40°C for 1 min, and 72°C for 3 min; and 1 final cycle at
95°C for 1 min, 40°C for 1 min, and 72°C for 10 min. The number
of amplification cycles during PCR was reduced as much as possible to
reduce PCR biases (52), chimera formations (53),
and Taq polymerase error rates; however, 34 cycles were
needed to yield sufficient product.
Clone library construction.
Products of three parallel PCRs
were combined and precipitated to concentrate the DNAs for cloning. DNA
was ligated in the pGEM-T-Easy vector by using the protocol of the
manufacturer (Promega). Ligation reaction mixtures were purified and
used for electroporation of Escherichia coli XL1 Blue
(Stratagene GmbH, Heidelberg, Germany) or E. coli JM-109
cells (Promega) as described by Flohr (8). Recombinant
transformants were selected by blue and white screening.
Dot blot hybridization.
Plasmid DNA was prepared from
overnight cultures with a WIZARD Mini Prep Purification Kit (Promega)
by following the manufacturer's recommendations. Plasmids were checked
for insert presence on agarose gels. All plasmids known to contain the
correctly sized insert of 1.5 kb were used for dot blot hybridization.
For blotting, plasmid DNA was denatured for 5 min at 95°C and cooled
immediately on ice. Aliquots of 100 to 400 ng of DNA
were spotted onto
a prewetted nylon membrane (Hybond-N+; Amersham,
Little Chalfont,
Buckinghamshire, United Kingdom) with a Bio-Rad
(Munich, Germany) dot
blot apparatus. For additional denaturation,
blots were placed on
filter paper soaked with 0.4 M NaOH-0.6 M
NaCl for 15 min. Finally,
membranes were equilibrated with 2×
SSC (0.3 M NaCl, 0.03 M sodium
citrate [pH 7.0]) for 10 min. For
immobilization of the DNA, the
membrane was baked at 80°C for
2 h. Oligonucleotide probes were
5' end labeled with [

-
32P]ATP by using T4
polynucleotide kinase according to the recommendation
of the
manufacturer (New England Biolabs, Schwalbach, Germany).
The
unincorporated [

-
32P]ATP was removed from the labeled
probes by using Sephadex columns
(NAP columns; Pharmacia Biotech,
Freiburg, Germany) according
to the manufacturer's
protocol.
Membranes were prehybridized for 1 h at 40°C in hybridization
solution (10× Denhardt solution, 4× SSC, 0.1% SDS, 2 mM EDTA
[pH
8.0], 50 µg of salmon sperm DNA per ml [
32]) before
32P-labeled probes were added. Hybridization was carried
out at
40°C (except with membranes for hybridization with a
gram-positive
probe, for which the temperature was 30°C) for 14 to
16 h. Thereafter,
the membranes were washed twice for 30 min with
washing buffer
(2× SSC, 0.1% SDS) at hybridization temperature. To
eliminate
nonspecific binding, the membranes were washed two more times
for 15 min at the dissociation temperature (
Td),
which had been
determined according to the method of Raskin et al.
(
39). Probes
and
Tds used in this
study are given in Table
1. Control 16S
rDNAs different in sequence from each particular probe by one
nucleotide were also spotted on membranes and hybridized as well
to
check the stringency of washing conditions. Hybridization signals
were
analyzed with a PhosphorImager (Molecular Dynamics, Sunnyvale,
Calif.).
ARDRA and rarefaction analysis.
Amplified rDNA restriction
analysis (ARDRA) was performed to analyze the diversity of clones
within each group defined by dot blot hybridization. Isolated plasmid
DNAs of 16S rDNA clones were used as templates for insert
amplification. The PCR was performed as described above, except that
the primer annealing temperature was higher (44°C). PCR products were
purified, and aliquots of 200 to 400 ng of the amplified insert were
digested with 7.5 U of the restriction endonuclease HaeIII
(Promega) for 3 h at 37°C. The resulting fragments were analyzed
on an 8% polyacrylamide gel, and restriction patterns within each
group were compared. Diversity of the clone library was further
investigated by rarefaction analysis (16, 18, 50).
Rarefaction curves were produced by using the analytical approximation
algorithm of Hurlbert (18) and 95% confidence intervals
estimated as described by Heck et al. (16). Calculations
were performed on a personal computer with the freeware program
aRarefactWin (17a).
Sequencing and phylogenetic analysis.
Representatives of all
major ARDRA pattern groups were chosen for sequencing. Plasmid DNAs
from selected 16S rDNA clones were sequenced (partially or in full) by
Taq Cycle Sequencing with universal rRNA-specific primers
with a model ABI377 (Applied Biosystems, Inc.) or a Li-Cor (MWG
Biotech, Ebersberg, Germany) sequencer. A total of 116 clones were
sequenced partially or fully. All sequences were checked for chimera
formation with the CHECK_CHIMERA software of the Ribosomal Database
Project (29), and the phylogenetic affiliations of their 5'
and 3' ends were compared. By this procedure seven potential chimeras
(6.0%) were detected. This figure probably underestimates the real
chimera fraction because it is more difficult to detect chimera
formation of two closely related sequences (53). Potential
chimeras were eliminated before phylogenetic trees were constructed.
Sequence data were analyzed with the ARB software package
(
51). Phylogenetic trees were calculated by parsimony,
neighbor-joining,
and maximum-likelihood analysis with different sets
of filters.
For tree reconstruction, only full-length sequences were
considered.
Nucleotide sequence accession numbers.
The nucleotide
sequence data reported in this paper will appear in the EMBL, GenBank,
and DDBJ nucleotide sequence databases under the accession no. AJ240966
to AJ241022. Only sequences of more than 1,000 bases in length were submitted.
 |
RESULTS |
Initial clone library analysis.
A sample of 30 clones was
initially selected for sequencing and phylogenetic analysis to get a
first overview of the quality of and the diversity in the 16S rDNA
clone library. Within the 30 clones, we detected 21 different
sequences. Two major groups became evident: approximately 50% of the
16S rDNA clone sequences were related to gram-negative SRB and other
members of the
subclass of the class Proteobacteria, and
approximately 40% were affiliated with the
subclass of
Proteobacteria, most closely with sulfur-oxidizing bacteria.
Additional sequences were related to Cytophaga spp. (one
sequence) and gram-positive bacteria (two sequences).
Grouping of clones by dot blot hybridization and ARDRA.
On the
basis of the initial sequence analysis, we developed a new probe
(Gamma598) and used this probe, in addition to others, for dot blot
hybridization (for an overview of probes used, see Table 1).
Of the screened clones, 94.3% hybridized with the bacterial probe
EUB338 and contained a 16S rDNA insert. The remaining 5.7%
had no
hybridization signal with EUB338 (Fig.
1), although all
of them had a
correctly sized insert of 1.5 kb. ARDRA of this
group resulted in 20 different patterns, with each pattern being
represented by a single
clone (see Fig.
2J). Fourteen of these
clones were sequenced, and 12 fell into the division
Planctomycetes-Verrucomicrobiales. This result is in agreement with the work of Neef et al., who
showed that
Planctomycetales spp. have at least one
nucleotide
that is different from the sequence of probe EUB338
(
36). The
other clones were distantly related to
low-G+C-content gram-positive
and green nonsulfur bacteria. Of the
EUB-positive clones, 71.9%
bound one of the group-specific probes
used.
-Proteobacteria.
The most abundant group of clones
was affiliated with the
subclass of Proteobacteria. A
total of 36.8% of the clones hybridized with different probes specific
for SRB. The majority of these clones were targeted by probe Sval428
(Fig. 1). Sixty-seven clones (19.0%)
hybridized with the probe specific for SRB first isolated from the same
habitat. ARDRA of this fraction resulted in eight different restriction
patterns, subsequently referred to as phylotypes (Fig.
2D). Sequence analysis revealed that the
dominant phylotypes were almost all closely related (95 to 100%) to
SRB isolates from the same cruise (strains with the prefix "LSv,"
Desulfotalea [23, 48]). The most abundant
pattern was found in 27 clones (e.g., Sva1036 and Sva1037), their
sequences showing 95% similarity to the 16S rDNA sequence of LSv20 and
Desulforhopalus vacuolatus (Fig.
3). The sequences of the
second-most-dominant pattern, represented by 17 clones, were affiliated
with Desulfotalea sp. (Sva0999) and LSv23 or LSv53
(Sva0632). Twelve of these clones were identical to the 16S rDNA of
LSv53, a psychrophilic SRB isolated by Knoblauch et al. (23)
during the same cruise but from a different sampling station
(Storfjord). A third dominant phylotype in the Sval428-positive fraction (12 clones, e.g., Sva0010) was phylogenetically related to
Desulfocapsa sp. (93% similarity) (Fig. 3), while a fourth phylotype (6 clones, e.g., Sva0113) was affiliated with LSv23 or LSv53
(97% similarity). Remaining patterns were represented by only one or
two clones.

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FIG. 1.
Dot blot hybridization and ARDRA of 16S rDNA clones.
Three hundred fifty-three clones were screened by dot blot
hybridization with different probes. The diversity within each group
was further investigated by ARDRA with one restriction endonuclease
(HaeIII). The filled bars represent the numbers of clones
detected with specific probes, and the open bars show the numbers of
different ARDRA patterns after digestion with HaeIII. Probe
GP is specific for gram-positive bacteria (28), ALF968 is
specific for members of the subclass of Proteobacteria
(35), CF319 is specific for the
Cytophaga-Flavobacterium group (30), Gamma598
targets three gene clusters affiliated with sulfur-oxidizing bacteria
in the subclass of Proteobacteria, Sval428 is specific
for psychrophilic sulfate reducers isolated from the same site
(48), probe 660 targets Desulfobulbus species
(5), 687 is specific for Desulfovibrio and some
species of Geobacteraceae (5), and 804 targets
Desulfobacter, Desulfobacterium, and
Desulfobotulus species (5). "EUB338 only"
indicates the clones which hybridized only with the universal
eubacterial probe (1). No EUB338 signal describes clones
with a correctly sized insert of 1.5 kb but no hybridization signal at
all.
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FIG. 2.
Distribution of 16S rDNA clone sequences in different
ARDRA patterns. The profiles are based on ARDRA and sequence analysis.
The closest cultivated relatives (rel.) for the individual ARDRA groups
are indicated.
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FIG. 3.
Phylogenetic tree showing the affiliations of 16S rDNA
clone sequences to selected reference sequences of the subclass of
Proteobacteria. The tree was calculated by neighbor-joining
analysis and corrected with filters which considered only 50%
conserved regions of the 16S rRNA of -Proteobacteria. 16S
rDNA clone sequences are in boldface type. The bar represents 10%
estimated sequence divergence.
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|
The second-largest fraction (13.0%) of SRB-related 16S rDNA clone
sequences was targeted by probe 687, specific for
Desulfovibrio and some species of the
Geobacteraceae (Fig.
1). Diversity in
this group was very
low (Fig.
2A). Of the seven different ARDRA
patterns, one was
represented by 39 clones and the remaining six
patterns were each
represented by one or two clones only. Phylogenetic
analysis revealed
that the major group (e.g., Sva1033 and Sva0566)
was related to
Desulfuromonas sp. (Fig.
3). The highest similarity
was
93.7% (to
Desulfuromonas palmitatis). Sequencing of clones
representing the other patterns also placed them with
Desulfuromonas sp.
Relatively few 16S rDNA clones were affiliated with
Desulfobulbus sp. by probe 660 (2.5%) or with
Desulfobacter sp.,
Desulfobacterium sp., or
Desulfobotulus sp. by probe 804 (2.3%) (Fig.
1). The
diversity
in these two groups was also low (Fig.
2B and C). Only three
different
ARDRA patterns per group were found. The three different
clusters
that were detected with probe 660 were all, as expected,
phylogenetically
related to
Desulfobulbus sp. (e.g., Sva0436
and Sva0631). Five
of the clones targeted by probe 804 (e.g., Sva0081
and Sva0863)
were affiliated with
Desulfosarcina sp. (Fig.
3). The two other
groups were represented by two clones (e.g., Sva0605)
and one
clone (Sva0405) only. Although clone Sva0605 hybridized with
probe
804, its 16S rDNA sequence was most closely related to
Desulfobacula toluolica (93.1%
similarity).
-Proteobacteria.
In addition to the SRB, there was a
second dominant group in the clone library represented by 16S rDNA
clone sequences which fell in the
subclass of
Proteobacteria. They were only distantly related to known
bacteria (between 85.6 and 92.1%), being related most closely to
sulfur-oxidizing bacteria. This group was detected by dot blot
hybridization with probe Gamma598. Sixty-four clones (18.0%)
hybridized with this new probe developed on the basis of preliminary
screening of 30 clones (see above). After restriction endonuclease
digestion, 22 different ARDRA patterns became evident (Fig. 1 and 2E).
Phylogenetically, the clones formed three distinct clusters (Fig.
4). Clones Sva0071 and Sva0864 belonged
to a cluster that was affiliated with sulfur-oxidizing endosymbiotic
bacteria such as the gill symbionts Solemya velum (92.0%)
and Codakia costata (92.1%). The second cluster, containing
clones Sva1046, Sva0115, and Sva0120, was most closely related to other
clone sequences published by Kato and Li (21), derived from
deep-sea sediments (97.9% highest similarity). The third cluster
(containing, e.g., Sva0091, Sva0854, and Sva0318) could not be assigned
stably. Different tree reconstructions affiliated the sequences with
sulfur-oxidizing endosymbionts, the Beggiatoa-Thioploca
group, or with separate groups. To no members of the above-named groups
did they show more than 89.5% 16S rDNA similarity. The phylogenetic
position in Fig. 4 was consequently indicated by a multifurcation.

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FIG. 4.
Phylogenetic tree showing the affiliations of 16S rDNA
clone sequences with selected reference sequences of the subclass
of Proteobacteria. The tree was calculated by
neighbor-joining analysis and corrected with filters which considered
only 50% conserved regions of the 16S rRNAs of
-Proteobacteria. Sva0862 and Sva0854 are not full-length
sequences (1,000 bp) and have therefore been added to the existing
tree, by a special algorithm included in the ARB software, without
allowing for changes of the tree topology based on almost complete
sequences. 16S rDNA clone sequences are in boldface type. The bar
represents 10% estimated sequence divergence.
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Other probe target groups.
Probe ALF968 was designed to target
the
subclass of Proteobacteria. This probe is known to
also target some members of the
subclass of
Proteobacteria (35). In our study, 59 of the 82 clones hybridizing with probe ALF968 could be assigned to SRB by
hybridization with probe Sval428 and sequencing. Consequently, we
investigated only the diversity of the remaining 23 clones, which
displayed 14 different ARDRA patterns (Fig. 1). The three most abundant
patterns were each represented by three clones. The sequences were most
closely related to Bdellovibrio and Nannocystis or Polyangium sp., i.e., genera of the
subclass of
Proteobacteria (Fig. 2F). The remaining patterns were
represented by one or two clones only. Sequencing of 11 of 14 phylotypes hybridizing with ALF968 showed that only one phylotype,
represented by two clones, was indeed affiliated with the
subclass
of Proteobacteria (Rhodobacter spp.).
Probe GP, specific for gram-positive bacteria, hybridized with 19 clones (5.4%). Diversity within this group was very high
since it
contained 13 different patterns (Fig.
2G). The sequences
were fairly
distantly related to
Clostridium sp. (89.8%),
Microthrix parvicella (85.6%), and
Anaerobranca
sp. (86%).
Eighteen clones were assigned to the
Cytophaga-Flavobacterium cluster by probe CF319a (Fig.
1).
We found nine different phylotypes
by ARDRA. The most abundant
phylotype was represented by seven
clones which were most similar
(89.1%) to
Cytophaga fermentans (Fig.
2H).
A large number of clones (37 clones) hybridized only with probe EUB338.
We found 29 patterns in this fraction. Only four of
these patterns were
represented by more than two clones (Fig.
2I). The most dominant
pattern (23 clones) was represented by
sequences (e.g., Sva0103 and
Sva1041) that were most closely related
to
Desulfobulbus sp.
relatives (90.1%) (Fig.
3). These sequences
had three nucleotide
differences from probe 660, specific for
Desulfobulbus sp.,
and were, therefore, not detected by this probe.
Other phylotypes
that were represented by more than two clones
were related
to
Bdellovibrio sp. or
Nitrospina sp.
(82.7%;

-
Proteobacteria),
Coxiella sp.,
and
Marinobacter sp. (91.5 and 89.8%; both

-
Proteobacteria).
The less frequent patterns had
sequences related to the

subclass
of
Proteobacteria
(e.g.,
Marinobacter,
Methylophaga, and
Coxiella relatives), to the

subclass of
Proteobacteria (
Desulfobacula,
Desulfosarcina,
Nitrospina, and
Bdellovibrio relatives), and to
the newly described phylum
Holophaga-Acidobacterium (
27).
Rarefaction analysis.
We applied rarefaction analysis to
evaluate whether screening of 353 clones was sufficient to estimate
diversity within the clone library. The expected number of different
ARDRA patterns was plotted versus the number of 16S rDNA clones in the
clone library. ARDRA of 353 clones resulted in 140 different patterns. The calculated rarefaction curves did not reach a clear saturation, indicating that analysis of an increasing number of clones would have
revealed further diversity (Fig. 5).

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FIG. 5.
Rarefaction curves for the different ARDRA patterns of
16S rDNA clones. Rarefaction curves were calculated by using the
analytical approximation algorithm described by Hurlbert
(18) and 95% confidence intervals estimated as described by
Heck et al. (16). The number of different ARDRA patterns in
the clone library was determined after digestion with one restriction
endonuclease. The expected number of ARDRA patterns ( ) is plotted
versus the number of clones. Rarefaction curves were also calculated
for the fraction of SRB ( ). The dotted lines represent 95%
confidence intervals.
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We did the same rarefaction analysis with the fraction of clones
representing 16S rDNAs of SRB (including
Desulfobulbus
relatives
detected by EUB338 only). Twenty-two different ARDRA patterns
were represented by 155 clones. The calculated rarefaction curve
approached saturation, indicating that the diversity of SRB in
the
clone library was almost
covered.
 |
DISCUSSION |
Diversity.
The sediments investigated in this study are never
exposed to temperatures higher than 3°C and might, therefore, be
regarded as extreme environments. Studies of the bacterial communities of extreme environments such as a saltern (31) and a low-pH hydrothermal vent system (33) have indicated low bacterial
diversity in these habitats. By applying rarefaction analysis to
restriction fragment length polymorphism patterns of their 16S rDNA
clone library, Moyer et al. (33) could demonstrate that
screening of 48 bacterial clones was enough to detect the majority of
taxa in the clone library of a hydrothermal vent microbial mat. One aim
of our study was to assess bacterial diversity, which was expected to
be limited considering the extremely low environmental temperatures;
however, rarefaction analysis revealed that by screening 353 clones,
the actual diversity in our clone library was only partially covered.
It is unlikely that new major groups will be discovered by analyzing
additional clone sequences, since the major groups were the same after
30 and 353 clones were screened. Total phylotype richness, i.e., the
number of phylotypes present, on the other hand, might reflect the
potential within a microbial community to respond to changes in
environmental conditions. At a different time point, those phylotypes
not detected or represented by only one clone might play an important
role in this habitat.
Another approach that has been used to assess completeness of a clone
library analysis is to calculate coverage. In our case,
coverage was
71.95%, indicating that almost three-quarters of
total diversity in
the clone library was detected; however, since
coverage is based only
on the number of unique clones relative
to total richness, not taking
evenness into account, it should
be regarded only as a rough estimate
of diversity within a sample
of infinite
size.
The 16S rDNA inserts of the clones were digested with one tetrameric
restriction enzyme. Use of a second enzyme resulted in
an increased
number of patterns (data not shown). In a study of
sulfate-reducing
isolates, Rooney-Varga et al. (
44) demonstrated
that use of
four enzymes was necessary to differentiate between
sequences having
more than 95% similarity. However, since our
study was aimed towards
an overview of diversity, we concentrated
on the differences revealed
by one enzyme. The results presented
here should therefore be regarded
as indicating minimal
diversity.
As can be seen in Fig.
2, diversity within each probe target group
varied greatly. In particular, group 687 showed very little
evenness
(distribution of the number of clones per pattern), with
one phylotype
making up 85% of the 687 positive clones; however,
since different
probe target groups represent different phylogenetic
depths (probe 660, e.g., is specific for one genus and probe 804
is specific for a group
of different genera), we refrain from
comparing levels of diversity
among the different groups. The
data might, however, serve as a basis
in future analyses for comparing
levels of diversity of the same target
group in different environmental
samples.
Methodological considerations.
Clone libraries of 16S
rDNAs have been widely used to investigate in a
cultivation-independent approach the microbial communities of
different, mainly pelagic or terrestrial habitats (4, 7, 9, 11,
33, 37, 38, 49). They have helped to elucidate common features
within the microbial communities of specific habitats such as marine
pelagic environments (9, 38) and have provided additional
sequence information for the design and evaluation of probes. However,
this experimental approach suffers from specific limitations that
potentially confer selectivity via differential cell lysis, variable
nucleic acid extraction efficiencies, or biased amplification in the
PCR. The high lysis efficiency (93% ± 3.4%) and the high overall
diversity in the clone library presented here suggest that our analysis
was based on a substantial fraction of the bacterial community from
Hornsund sediments; however, it is difficult to assess the potential
bias introduced during amplification of the 16S rDNA. These biases are
due to primer selectivity or erroneous product ratios caused by product
saturation in the later cycles of amplification (52).
Furthermore, oligonucleotides specific for a very general phylogenetic
group, such as the bacterial 16S rDNA primers we used in PCR, are
ultimately bound to miss some members of the community, which, in turn,
leads to an underestimation of diversity.
Despite the caveats that clone abundance in the library does not
necessarily reflect bacterial abundance at the site and that
diversity
might not be fully covered, the correlations between
results of the
clone library and results of completely different
approaches such as
16S rRNA quantification analysis (see the accompanying
paper
[
48]) and most probable number counts (
23)
are encouraging.
The largest group of clones (19%) was detected by a
probe designed
especially for SRB isolated on the same cruise
(
23). While some
of these isolates came from the same
sampling site on the west
coast of Spitsbergen (Hornsund), others were
obtained from sediments
sampled off the east coast (Storfjord). The
clones were closely
related to these isolates, with one phylotype even
showing 100%
sequence identity to strain LSv53, which was isolated
from the
east coast station (Fig.
3). This phylotype was represented by
12 of 353 clones. The same phylotype was also detected in a denaturing
gradient gel electrophoresis-Southern blot analysis described
in the
accompanying paper; however, as expected, quantitative
representation
of the phylotypes in the clone library corresponds
only weakly to the
results from 16S rRNA slot blot hybridization
(see the accompanying
paper [
48]).
Phylogenetic composition of the clone library.
The clone
library was dominated by sequences related to
-Proteobacteria. Even within the clones targeted by the
general EUB338 probe only, we could detect one additional phylotype
affiliated with the
subclass of Proteobacteria, loosely
related to Desulfobulbus. Twenty-three clones (6.5%)
belonged to this phylotype not targeted by any of the specific SRB
probes. Phylogenetic affiliation makes it likely that they are also
sulfate reducers. The design and application of a new probe specific
for this group and its employment in quantitative rRNA slot blot and in
situ hybridizations will show the extent to which it contributes to the
bacterial community.
Detailed analysis of the clones targeted by probe 687 showed that all
16S rDNA inserts were affiliated with
Desulfuromonas palmitatis, whereas no
Desulfovibrio was detected.
Desulfuromonas palmitatis is known to reduce sulfur or
thiosulfate and iron or
to employ a fermentative metabolism; however,
the phylogenetic
distance between
Desulfuromonas and the
clones is so large (6.3%)
that we cannot determine whether these
clones represent sulfur
or sulfate reducers. All clones had one
nucleotide that was different
from the probe sequence but gave a
clearly positive signal in
dot blot hybridization. A one-mismatch
control also included in
the hybridization analysis did show a
distinguishable weaker signal.
This example serves as a reminder that
discrimination by one nucleotide
might not always be
possible.
A second dominant group of 16S rDNA clones was distantly related to
sulfur-oxidizing symbiotic or free-living bacteria of
the

subclass
of
Proteobacteria, with a similarity value of 92
or 86%.
Since no pure culture representatives for this group have
been
isolated, we can only speculate that they might indeed be
involved in
the oxidative part of the sulfur cycle. Selective
cultivation of sulfur
oxidizers from the same habitat is under
way.
When investigating Wadden Sea sediments by fluorescence in situ
hybridization, Llobet-Brossa et al. (
26) found members of
the
Cytophaga-Flavobacterium cluster to be even more
abundant
than

-
Proteobacteria. This cluster has also been
found in marine
aggregates (
4,
40);
Cytophagales,
in general, are known for
their ability to associate and glide on
surfaces and to degrade
a wide variety of polymeric substances
(
42). They were also
a significant constituent of our clone
library (5.1%), indicating
that
Cytophagales might be a
common member of marine sediment
microbial
communities.
Since sedimentation regularly brings in organic matter from the water
column, we expected to find evidence of allochthonous
input in the
sediment. Groups that are commonly found in planktonic
communities,
like some genera of

-
Proteobacteria (
13,
34),
were not abundant in the clone library; only 2 of 353 clones belonged
to the

-
Proteobacteria. Furthermore, we did not detect
any cyanobacterial
sequence and detected only one plastid sequence;
however, the
presence of allochthonous microorganisms is probably
dependent
on the time of sampling, with higher abundances expected
after
a phytoplankton
bloom.
Comparison with other clone libraries.
Open ocean and coastal
planktonic communities are well-studied ecosystems with regard to clone
libraries (10, 11, 34, 38, 49). Although the bacterial
communities of these habitats are phylogenetically diverse, distinct
phylogenetic clusters are repeatedly detected. These results are in
line with the idea that in similar climate zones, a limited number of
phylotypes account for a substantial fraction of the bacterioplankton
at certain times (34). It is still an open question whether
the same applies to benthic environments, since only limited data are
available on marine sediments. Devereux and Mundfrom (6)
established a clone library from a sandy marine sediment, selectively
amplifying partial 16S rDNAs of SRB. Gray and Herwig (15)
set up a general 16S rDNA clone library, examining 22 clones. Kato and
Li (21) investigated clones from deep-sea sediments off
Japan. A comparison is difficult, in particular because in many cases
only partial sequences are available, but some trends are noteworthy.
Sequences related to the Desulfotalea-Desulforhopalus
cluster were frequently recovered (Fig. 3). The highest similarity
values among clones with almost complete sequences were between 99.4 and 97.2%. Furthermore, all these clone libraries also contained
sequences related to Myxobacteria and
Bdellovibrio (Fig. 3; see below). Myxobacteria have been known mainly as terrestrial organisms (41); their isolation from coastal marine sediments has been attributed to resting
cells because of their low salt tolerance. Bdellovibrio, on
the other hand, has been repeatedly isolated from marine sediments (45). Considering the fact that related known pure cultures are almost all micropredators (41), they might play a role
in the control of bacterial abundance. Within the sequences of the
-Proteobacteria, similar congruencies occurred. Both Kato
and Li (21) and Gray and Herwig (15) found
sequences from the symbiont cluster (Fig. 4) (highest similarities
among clones, between 98 and 92%).
More data on the prokaryotic diversity of marine benthic habitats are
needed to identify common benthic features. Furthermore,
the actual
abundance of these conspicuous groups has to be determined
via in situ
and rRNA slot blot hybridization to evaluate their
roles in the
bacterial community of marine
sediments.
 |
ACKNOWLEDGMENTS |
We thank Ulrich Nübel for inspiring discussions and Birgit
Rattunde for technical assistance. We acknowledge Steven M. Holland for
providing the freeware program aRarefactWin.
This work was supported by the Max-Planck-Society.
 |
FOOTNOTES |
*
Corresponding author. Present address: Biotechnology I,
Technical Microbiology, Technical University Hamburg-Harburg,
Denickestr. 15, D-21073 Hamburg, Germany. Phone: 49 (0)40 42878 3336. Fax: 49 (0)40 42878 2909. E-mail: ksahm{at}mpi-bremen.de.
 |
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73: 4029-4039
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Losekann, T., Knittel, K., Nadalig, T., Fuchs, B., Niemann, H., Boetius, A., Amann, R.
(2007). Diversity and Abundance of Aerobic and Anaerobic Methane Oxidizers at the Haakon Mosby Mud Volcano, Barents Sea. Appl. Environ. Microbiol.
73: 3348-3362
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Holmes, D. E., Nevin, K. P., Woodard, T. L., Peacock, A. D., Lovley, D. R.
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Perreault, N. N., Andersen, D. T., Pollard, W. H., Greer, C. W., Whyte, L. G.
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73: 1532-1543
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Weidler, G. W., Dornmayr-Pfaffenhuemer, M., Gerbl, F. W., Heinen, W., Stan-Lotter, H.
(2007). Communities of Archaea and Bacteria in a Subsurface Radioactive Thermal Spring in the Austrian Central Alps, and Evidence of Ammonia-Oxidizing Crenarchaeota. Appl. Environ. Microbiol.
73: 259-270
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Kendall, M. M., Wardlaw, G. D., Tang, C. F., Bonin, A. S., Liu, Y., Valentine, D. L.
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Lloyd, K. G., Lapham, L., Teske, A.
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72: 7218-7230
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Sogin, M. L., Morrison, H. G., Huber, J. A., Welch, D. M., Huse, S. M., Neal, P. R., Arrieta, J. M., Herndl, G. J.
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MacGregor, B. J., Boschker, H. T. S., Amann, R.
(2006). Comparison of rRNA and Polar-Lipid-Derived Fatty Acid Biomarkers for Assessment of 13C-Substrate Incorporation by Microorganisms in Marine Sediments. Appl. Environ. Microbiol.
72: 5246-5253
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Sattley, W. M., Madigan, M. T.
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Vandieken, V., Mussmann, M., Niemann, H., Jorgensen, B. B.
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56: 1133-1139
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Blackwood, C. B., Oaks, A., Buyer, J. S.
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71: 6193-6198
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Asami, H., Aida, M., Watanabe, K.
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Zhang, Y.-q., Li, Y.-z., Wang, B., Wu, Z.-h., Zhang, C.-y., Gong, X., Qiu, Z.-j., Zhang, Y.
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71: 3331-3336
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Knittel, K., Kuever, J., Meyerdierks, A., Meinke, R., Amann, R., Brinkhoff, T.
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55: 781-786
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Gillan, D. C., Danis, B., Pernet, P., Joly, G., Dubois, P.
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71: 679-690
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Knittel, K., Losekann, T., Boetius, A., Kort, R., Amann, R.
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71: 467-479
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Magarvey, N. A., Keller, J. M., Bernan, V., Dworkin, M., Sherman, D. H.
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Nielsen, J. L., Schramm, A., Bernhard, A. E., van den Engh, G. J., Stahl, D. A.
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Glavin, D. P., Cleaves, H. J., Schubert, M., Aubrey, A., Bada, J. L.
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Beck, S., Schwudke, D., Strauch, E., Appel, B., Linscheid, M.
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Schwudke, D., Linscheid, M., Strauch, E., Appel, B., Zahringer, U., Moll, H., Muller, M., Brecker, L., Gronow, S., Lindner, B.
(2003). The Obligate Predatory Bdellovibrio bacteriovorus Possesses a Neutral Lipid A Containing {alpha}-D-Mannoses That Replace Phosphate Residues: SIMILARITIES AND DIFFERENCES BETWEEN THE LIPID As AND THE LIPOPOLYSACCHARIDES OF THE WILD TYPE STRAIN B. BACTERIOVORUS HD100 AND ITS HOST-INDEPENDENT DERIVATIVE HI100. J. Biol. Chem.
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Purdy, K. J., Nedwell, D. B., Embley, T. M.
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69: 3181-3191
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Bowman, J. P., McCammon, S. A., Gibson, J. A. E., Robertson, L., Nichols, P. D.
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69: 2448-2462
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Bowman, J. P., McCuaig, R. D.
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69: 2463-2483
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Stoeck, T., Epstein, S.
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69: 2657-2663
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Groudieva, T., Grote, R., Antranikian, G.
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Kniemeyer, O., Fischer, T., Wilkes, H., Glockner, F. O., Widdel, F.
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69: 760-768
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Morris, C. E., Bardin, M., Berge, O., Frey-Klett, P., Fromin, N., Girardin, H., Guinebretiere, M.-H., Lebaron, P., Thiery, J. M., Troussellier, M.
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Zengler, K., Toledo, G., Rappe, M., Elkins, J., Mathur, E. J., Short, J. M., Keller, M.
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Hentschel, U., Hopke, J., Horn, M., Friedrich, A. B., Wagner, M., Hacker, J., Moore, B. S.
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68: 4431-4440
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Ashelford, K. E., Weightman, A. J., Fry, J. C.
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Dunbar, J., Barns, S. M., Ticknor, L. O., Kuske, C. R.
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68: 3035-3045
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Bano, N., Hollibaugh, J. T.
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68: 505-518
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Sanford, R. A., Cole, J. R., Tiedje, J. M.
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68: 893-900
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Joulian, C., Ramsing, N. B., Ingvorsen, K.
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67: 3314-3318
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Madrid, V. M., Taylor, G. T., Scranton, M. I., Chistoserdov, A. Y.
(2001). Phylogenetic Diversity of Bacterial and Archaeal Communities in the Anoxic Zone of the Cariaco Basin. Appl. Environ. Microbiol.
67: 1663-1674
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Orphan, V. J., Hinrichs, K.-U., Ussler, W. III, Paull, C. K., Taylor, L. T., Sylva, S. P., Hayes, J. M., Delong, E. F.
(2001). Comparative Analysis of Methane-Oxidizing Archaea and Sulfate-Reducing Bacteria in Anoxic Marine Sediments. Appl. Environ. Microbiol.
67: 1922-1934
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Gieseke, A., Purkhold, U., Wagner, M., Amann, R., Schramm, A.
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67: 1351-1362
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Detmers, J., Brüchert, V., Habicht, K. S., Kuever, J.
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67: 888-894
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Ravenschlag, K., Sahm, K., Amann, R.
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67: 387-395
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Barbieri, E., Potenza, L., Rossi, I., Sisti, D., Giomaro, G., Rossetti, S., Beimfohr, C., Stocchi, V.
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66: 5035-5042
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Bull, A. T., Ward, A. C., Goodfellow, M.
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Ravenschlag, K., Sahm, K., Knoblauch, C., Jørgensen, B. B., Amann, R.
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66: 3592-3602
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Thamdrup, B., Rosselló-Mora, R., Amann, R.
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66: 2888-2897
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Eilers, H., Pernthaler, J., Glöckner, F. O., Amann, R.
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66: 3044-3051
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Sahm, K., Knoblauch, C., Amann, R.
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65: 3976-3981
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