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Applied and Environmental Microbiology, November 1999, p. 5066-5074, Vol. 65, No. 11
0099-2240/99/$04.00+0
Copyright © 1999, American Society for Microbiology. All rights reserved.
Molecular Characterization of Functional and
Phylogenetic Genes from Natural Populations of Methanotrophs in
Lake Sediments
Andria M.
Costello1,* and
Mary E.
Lidstrom2,3
Environmental Engineering Science 138-78, California Institute of Technology, Pasadena, California
91125,1 and Department of Chemical
Engineering2 and Department of
Microbiology,3 University of Washington,
Seattle, Washington 98195
Received 12 April 1999/Accepted 23 August 1999
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ABSTRACT |
The 16S rRNA and pmoA genes from natural populations of
methane-oxidizing bacteria (methanotrophs) were PCR amplified from total community DNA extracted from Lake Washington sediments obtained from the area where peak methane oxidation occurred. Clone libraries were constructed for each of the genes, and approximately 200 clones
from each library were analyzed by using restriction fragment length
polymorphism (RFLP) and the tetrameric restriction enzymes MspI, HaeIII, and HhaI. The PCR
products were grouped based on their RFLP patterns, and representatives
of each group were sequenced and analyzed. Studies of the 16S rRNA data
obtained indicated that the existing primers did not reveal the total
methanotrophic diversity present when these data were compared with
pure-culture data obtained from the same environment. New primers
specific for methanotrophs belonging to the genera
Methylomonas, Methylosinus, and
Methylocystis were developed and used to construct more
complete clone libraries. Furthermore, a new primer was designed for
one of the genes of the particulate methane monooxygenase in
methanotrophs, pmoA. Phylogenetic analyses of both the 16S
rRNA and pmoA gene sequences indicated that the new primers
should detect these genes over the known diversity in methanotrophs. In
addition to these findings, 16S rRNA data obtained in this study were
combined with previously described phylogenetic data in order to
identify operational taxonomic units that can be used to identify
methanotrophs at the genus level.
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INTRODUCTION |
Methanotrophs are a group of
gram-negative bacteria that can grow on methane as the sole source of
carbon and energy. They are widespread in nature and have gotten
increased attention in the past two decades due to their potential role
in the global methane cycle (11) and their ability to
cometabolize a number of environmental contaminants (15).
The methanotrophs consist of eight recognized genera (3,
5-7) that fall into two major phylogenetic groups, the
subgroup of the class Proteobacteria (
-Proteobacteria) (which includes the type II
methanotrophs) and the
-Proteobacteria (which includes
the type I methanotrophs). In addition, a new thermophilic genus,
Methylothermus, that forms a distinct, deeply branching
group within the
-Proteobacteria has recently been
described (4).
Traditionally, studies performed with natural populations of
methanotrophs have focused on culture-based techniques (15) that may or may not reveal the true diversity in nature (1). More recently, however, researchers have recognized the need for culture-independent analyses of natural methanotrophic populations, and
these types of analyses have been facilitated by recent advances in the
molecular biology and molecular phylogeny of methanotrophs (16,
24, 28). To aid in these studies, PCR primers targeted to the 16S
rRNA genes in methanotrophs have been developed (8, 17). In
addition, preliminary work has been carried out to identify primers
that detect pmoA, one of the genes for the diagnostic enzyme
for methanotrophs, the particulate methane monooxygenase (pMMO)
(16). These primers also detect amoA, which
encodes the analogous subunit of the ammonia monooxygenase in
nitrifying bacteria (26).
To date, most studies involving non-culture-based analyses of natural
populations of methanotrophs have focused on marine and peat bog
environments (17, 23, 25). In these studies, nucleic
acid-based techniques have been used to obtain information on
methanotrophic 16S rRNA and pmoA genes. The results of these studies have expanded the known sequence diversity for these genes and
have suggested that these environments contain limited methanotroph diversity at the genus level. The environmental sequences obtained from
peat environments all cluster with the type II methanotrophs (23,
25), while the two strains from marine and estuarine environments
are both type I strains (17, 33).
Workers in our laboratories are interested in investigating natural
populations of methanotrophs in freshwater sediments. However, it is
not yet clear whether the molecular tools that are currently available
detect the full range of in situ methanotroph genera in these
environments. Methanotrophs in freshwater sediments are important to
the global methane cycle as these environments are predicted to produce
an amount of methane equivalent to approximately 40 to 50% of the
annual global atmospheric methane flux (11, 18, 31).
However, most of this methane never reaches the atmosphere as it is
consumed by methanotrophs (18). Some data suggest that freshwater environments may contain greater methanotroph diversity than
peat and marine environments since both pure-culture isolation methods
and phospholipid fatty acid analyses indicate that a mixture of type I
and type II strains is present (2, 9).
Currently, no data concerning the in situ populations of methanotrophs
in freshwater environments as determined by using primers specific for
methanotroph 16S rRNA or pmoA genes are available. In
addition, it is not known whether the methanotroph primers that have
been described can effectively assess the in situ methanotroph diversity in these habitats. Therefore, the objective of this study was
twofold: to develop a database of methanotroph 16S rRNA and
pmoA sequences for a freshwater sediment and to use this
information to develop robust molecular tools for studying in situ
methanotrophs in freshwater habitats. The study site chosen was Lake
Washington, which we have previously analyzed to determine
methanotrophic activities in carbon and oxygen cycling (19,
20).
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MATERIALS AND METHODS |
Collection of samples.
Sediment was collected from a
62-m-deep station in Lake Washington in Seattle, Wash., by using a box
core sampler that allowed us to collect relatively undisturbed
sediment. Subsections of the box cores were sectioned into 0.5-cm
slices to a depth of 5 cm. Samples were kept on ice for approximately 1 to 2 h and were then used or stored at
20°C.
DNA extraction and purification.
DNA was extracted from
sediment obtained in the area where peak methane oxidation occurred
(1a) by using a protocol described by Gray and Herwig
(14). The amount of sediment used per extraction procedure
was 600 mg. The modifications of the protocol included replacing the
Spin-Bind columns with Sephadex G-200 spin columns. The Sephadex G-200
spin columns were constructed by filling a 1-ml syringe with glass wool
and approximately 1 to 2 cm of TE-saturated Sephadex G-200. After
passage through the column, the DNA was further purified by removing
residual humic acids by electrophoresis on a 1% agarose gel and
purification with a Qiagen gel extraction kit (Qiagen, Inc.). DNA
obtained after this treatment was used in PCR mixtures.
PCR amplification of 16S rRNA and pmoA genes.
The 16S rRNA genes were PCR amplified from total DNA extracted from
sediment by using methanotroph phylogenetic group-specific primers
Mb1007, Mc1005, Mm1007, and Ms1020 (17) in conjunction with
bacterium-specific primer f27. Furthermore, 16S rRNA primers Mm835 (5'
GCTCCACYACTAAGTTC 3') and Type2b (5' CATACCGGRCATGTCAAAAGC 3') were
designed by using new and previously described sequences to
specifically amplify genes from members of the genus
Methylomonas and members of the genera
Methylosinus and Methylocystis, respectively (Table 1). These primers were also used
in subsequent PCRs with primer f27 to amplify genes from members of the
genera Methylomonas, Methylosinus, and
Methylocystis. All reactions were carried out in 30-µl
(total volume) mixtures containing approximately 100 ng of sediment
DNA, 10 pmol of each primer, 1.5 mM Mg2+, Gibco buffer, and
2.5 U of Gibco Taq polymerase. The reactions were performed
in a Perkin-Elmer model 9600 GeneAmp PCR System thermal cycler by using
25 cycles consisting of 92°C for 1 min, 55°C for 1.5 min (50°C
for primer Mm835), and 72°C for 1 min and a final extension step
consisting of 72°C for 5 min. In addition, amplification reactions
were also performed with primers specific for pmoA. To
design pmoA-specific primers, pmoA and
amoA sequences available from the GenBank database were
aligned, and primer mb661 (5' CCGGMGCAACGTCYTTACC 3') was designed
(Table 1). Primer mb661 was used in conjunction with primer A189gc
(16). Together, primers A189gc and mb661 amplified an
approximately 470-bp internal section of pmoA and produced
strong signals with all of the methanotrophs tested. The methanotrophs
tested included pure cultures of Methylomicrobium album BG8,
Methylomonas rubra, Methylomonas methanica S1,
Methylococcus capsulatus Bath, Methylosinus
trichosporium OB3b, Methylocystis parvus OBBP, and the
isolates obtained from Lake Washington in this study (see below). The
pmoA primer pair, primers A189gc and mb661, produced no
product with Nitrosomonas europaea DNA, as determined in
PCRs. In addition, primer mb661 was tested in silico with additional
nitrifier amoA gene sequences obtained from the GenBank
database and exhibited low levels of identity (9- to 12-bp differences)
with these sequences. One exception was the amoA gene of
Nitrosococcus oceanus, which exhibited only a 2-bp
difference. However, the amoA gene of this organism is more
closely related to the pmoA genes of methanotrophs than to
the amoA genes of nitrifiers so the high level of identity
is not surprising (16).
Construction of clone banks and restriction fragment length
polymorphism (RFLP) analyses.
The size and purity of each PCR
product were checked on 1% agarose gels (32). The PCR
products were purified with a Qiagen PCR purification kit (Qiagen,
Inc.) and were ligated into the pCR2.1 vector supplied with a TA
cloning kit (Invitrogen) by following the manufacturer's instructions.
Individual colonies containing inserts were suspended in 50 µl of
water and boiled for 5 min, the cell debris was spun down, and 1-µl
portions of the supernatant were used in PCR mixtures to reamplify the
insert from the vector with the appropriate primers. The reamplified
product was used in restriction digests along with tetrameric
restriction enzymes. The 16S rRNA genes were digested with the enzymes
MspI, HhaI, and HaeIII. The
pmoA genes were digested with HhaI and a
combination of MspI and HaeIII. Digests were
resolved on 3% NuSieve GTG agarose (FMC) gels and were grouped
manually based on the restriction patterns.
16S rRNA and pmoA genes from pure cultures.
Pure
cultures requiring methane for growth were obtained from enrichment
cultures by using Lake Washington sediments (1b). Chromosomal DNA was isolated from each strain by using cells grown on
agarose plates. Cells were washed from the agarose surface with 500 µl of TEN (50 M Tris EDTA, 150 mM NaCl), and the liquid was collected
in 1.5-ml tubes. The tubes were centrifuged for 5 min at 14,000 rpm,
and the supernatant was poured off. Each pellet was resuspended by
adding 500 µl of TEN supplemented with 4 mg of lysozyme per ml and
was incubated at 37°C for 1 h. Next, 50 µl of 20% sodium
dodecyl sulfate was added to each tube, and the tubes were incubated in
a 45 to 50°C water bath for approximately 30 min. DNA was extracted
with phenol and was precipitated by using ethanol and standard
procedures (32). DNA from each of the isolates was used in
PCR mixtures as described above. The 16S rRNA genes were amplified by
using bacterium-specific primers f27 and 1492r (13). The
pmoA genes from each of the isolates were amplified by using
primers A189gc and mb661 as described above.
Data analyses.
Analyses and translation of DNA and
DNA-derived polypeptide sequences were carried out by using Genetics
Computer Group programs (Genetics Computer Group, Madison, Wis.).
Phylogenetic analysis.
16S rRNA gene sequences were compared
with sequences in the small-subunit rRNA database of the Ribosomal
Database Project (RDP) by using the Similarity_Rank program
(22). 16S rRNA sequences were aligned manually with
representative sequences of the nearest phylogenetic neighbors, as
defined by the RDP, by using the SeqApp program. Dendrograms were
constructed by using the programs DNADIST, DNAPARS, DNAML, NEIGHBOR,
and SEQBOOT from the PHYLIP version 3.5c package (12). Tree
files generated by PHYLIP were analyzed by using the program TreeView
(29). The RDP program Check_Chimera was used to examine 16S
rRNA gene sequences for chimeras. pmoA sequences were
aligned manually with pmoA and amoA sequences
obtained from the GenBank database. Dendrograms were constructed by
using the programs PROTDIST, PROTPARS, NEIGHBOR, and SEQBOOT from
PHYLIP, version 3.5c (12), and tree files were analyzed by
using TreeView (29).
DNA sequencing.
DNA sequencing of the 16S rRNA and
pmoA genes was carried out with both strands by using an ABI
Prism BigDye terminator sequencing kit (Applied Biosystems). The
sequences were analyzed by workers at the University of Washington
Center for AIDS Research DNA Sequencing Facility and the Department of
Biochemistry Sequencing Facility, who used an Applied Biosystems
automated sequencer.
Nucleotide sequence accession numbers.
The GenBank accession
numbers for the nucleotide sequences determined in this study are
AF150757 to AF150807.
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RESULTS |
RFLP analysis of known methanotrophs.
Tetrameric restriction
enzymes have been shown to be useful tools for screening environmental
clone libraries by RFLP analysis (10, 21, 27, 30, 34, 36).
Common restriction fragments obtained from such analyses that
distinguish between taxonomic groups are known as operational taxonomic
units (OTUs) (27). Identification of OTUs for methanotrophs
would facilitate rapid screening of both isolates and environmental
clones. Therefore, a number of representative methanotrophic 16S rRNA
genes available from the GenBank database were examined by performing
computer-aided digestion with the tetrameric restriction enzymes
MspI, HhaI, and HaeIII to determine
whether OTUs could be identified. We predicted that these enzymes would
produce useful patterns for regions used previously for PCR analysis
(17), and a comparative computer analysis revealed that each
genus could be identified by a distinct set of patterns (Table
2). To test our predictions
experimentally, the same PCR products were generated by using DNA from
representative strains and these PCR products were digested by the
three restriction enzymes. Most of the RFLP patterns obtained for the
strains tested corresponded to the patterns predicted on the basis of
the previously described sequences; exceptions were the
Methylomonas methanica S1, Methylomonas rubra,
Methylocystis parvus OBBP, and Methylosinus trichosporium OB3b patterns. The discrepancies observed suggested that there may have been errors in the sequences deposited previously. The 16S rRNA genes from these cultures were resequenced, and
significant apparent errors were identified in the original sequences.
The new sequences which we obtained were 87 to 99% identical to the previously described sequences and matched the RFLP patterns obtained for the digests with chromosomal DNA, suggesting that the new sequences
are correct. The RFLP patterns of the new 16S rRNA gene sequences also
clearly fit into the OTUs defined for the respective genera (Table 2).
The corrected sequences were especially significant for the type II
Methylosinus and Methylocystis strains as only 10 16S rRNA gene sequences have been described for type II methanotrophs. It should be noted that many of the remaining eight
Methylosinus and Methylocystis 16S rRNA gene
sequences in the database do not produce the correct OTUs when they are
analyzed in silico and may contain sequence errors in addition to
ambiguous bases. All of the reference sequences used in our
analyses contained genus-specific OTUs, and we were careful to choose
the most accurate and complete sequence when possible.
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TABLE 2.
Sizes of restriction fragments obtained from
PCR-amplified products of methanotroph 16S rRNA grouped by genus
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In most cases, the RFLP patterns observed with MspI digests
were sufficient to differentiate between methanotroph genera. The genus
Methylomonas was the only genus whose members exhibited a
clearly distinct OTU in HaeIII-digested sequences. In
addition, the enzyme HhaI produced patterns that were useful
for differentiating between the type II methanotrophic genera,
Methylosinus and Methylocystis. Within each
genus, the patterns obtained for MspI- and
HhaI-digested sequences were often very similar. In these
cases the patterns observed with HaeIII digests were used to
differentiate between different clones and pure cultures. The sequences
in Table 2 were analyzed by using only those bases that would be
amplified with the genus-specific primers used in this study. The
nonmethanotrophic representatives of the
- and
-Proteobacteria tested did not exhibit any methanotrophic
OTUs when they were digested in silico (data not shown).
pmoA PCR products were also analyzed both in silico and
experimentally with MspI, HaeIII, and
HhaI. Although these enzymes were useful for distinguishing
between pmoA genes from different strains, no genus-specific
OTUs could be identified.
Characterization of 16S rRNA and pmoA genes in new Lake
Washington methanotrophic isolates.
Twelve pure cultures that
required methane for growth were obtained from enrichment cultures
established with Lake Washington sediment (33a). Sequencing
of the 16S rRNA genes of these isolates revealed one
Methylobacter strain, five Methylomonas strains, one Methylocystis strain, and five Methylosinus
strains. The OTUs predicted for the 12 Lake Washington strains (LW and
PW strains) corresponded to the expected genera (Table 2). The
pmoA genes of these isolates were also sequenced and
screened by performing RFLP analyses. The results of an analysis of the
pmoA sequences in the database in addition to our new
pmoA sequences were used to design a primer specific for
pmoA that should not amplify amoA (see above).
The new pmoA primer, mb661 (Table 1), was tested with more
than 10 amoA sequences available in the GenBank database and
exhibited low levels of identity (9 to 12 mismatches) with these
sequences. No product was obtained in PCRs in which Nitrosomonas europaea DNA was used.
Characterization of 16S rRNA and pmoA genes in natural
methanotroph populations. (i) 16S rRNA gene sequences.
16S rRNA
PCR products obtained by using target DNA extracted from Lake
Washington sediment samples were used to construct gene libraries. The
primers used to construct these libraries were the methanotroph
phylogenetic group-specific primers described above and shown in Table
1 (17). A total of 200 randomly selected clones containing
inserts were subjected to RFLP analyses and placed into groups based on
their representative RFLP patterns. The 200 clones fell into 38 groups,
only 15 of which contained more than one clone. All 38 groups were
examined to determine whether any of the defined methanotrophic OTUs
were present (Table 2). Based on this parameter, six groups were found
to be groups that contained methanotrophic sequences. Clones
representing each of these six groups were used for sequencing, and the
data suggested that they were methanotroph 16S rRNA genes based on a
comparison with other 16S rRNA genes. Ten clones that did not contain
the defined methanotrophic OTUs were also used for partial sequencing. None of the additional 10 sequences were methanotrophic 16S rRNA gene
sequences based on a comparison with other sequences in the RDP, which
supported the validity of the OTU analysis.
The 16S rRNA gene sequences of the six methanotroph clones included
four Methylobacter sequences (pAMC405, pAMC415, pAMC417, and
pAMC419) and two Methylomicrobium sequences (pAMC421 and
pAMC466) (Table 3). No sequences were
obtained for the remaining six genera. However, representatives of the
genera Methylomonas, Methylosinus, and
Methylocystis were obtained as pure cultures that were
isolated from the same sediment. Based on our sequence data for these
isolates, we designed new primers to specifically amplify
Methylomonas sequences and Methylosinus and
Methylocystis sequences (Mm835 and Type2b, respectively)
(Table 1). Additional gene libraries were constructed by using these
primers. For each library, 50 clones were used in RFLP and OTU
analyses. For the Methylosinus-Methylocystis library, six
groups were obtained, and three of these had Methylosinus- type OTUs (pAMC447, pAMC451, and pAMC459) (Table 3). The 50 clones in
the Methylomonas gene library fell into five groups, and
three of these had the correct OTUs (pAMC434, pAMC435, and pAMC462) (Table 3). The six clones in the Methylosinus and
Methylomonas gene libraries were sequenced. For each of
these libraries, the clones that did not contain the appropriate OTUs
were partially sequenced. None of the clones without the appropriate
OTUs contained methanotrophic 16S rRNA genes. Our analysis of the
environmental clones is summarized in Table 3. An environmental clone
(pAMC434) identical to a Lake Washington isolate was obtained for one
Methylomonas strain, and a clone (pAMC415) that differed by
only 2 nucleotides from a Lake Washington isolate was obtained for a
Methylobacter strain. No other clones exhibited such close
identity with any of the Lake Washington isolates.
(ii) pmoA sequences.
The new
pmoA-specific primers were used to amplify partial
pmoA gene products from DNA extracted from Lake Washington
sediment, and these PCR products were used to construct gene libraries. A total of 200 clones containing inserts were subjected to RFLP analysis with the tetrameric restriction enzymes MspI plus
HaeIII and HhaI. The 200 clones fell into 34 groups, and only 8 of these groups contained more than one clone.
Clones representing 24 of the groups were sequenced, and 15 of these
clones were pmoA gene sequences. No amoA
sequences were obtained. Pairwise comparisons of translated amino acid
sequences for the pmoA PCR products obtained from
environmental samples and from pure cultures indicated levels of
identity ranging from 63.9 to 100% (Table
4). An examination of the nucleotide
sequences from the same region revealed levels of identity ranging from
63 to 99.6% (Table 4). Analysis of this larger data set confirmed that
it was not possible to identify OTUs for pmoA by using these
RFLP profiles.
The 15 environmental pmoA sequences were compared to
previously described pmoA sequences and were found to group
with sequences from members of previously described genera (Fig.
1). These sequences included one
Methylosinus sequence, two Methylococcus
sequences, five Methylomicrobium sequences, two
Methylomonas sequences, and five Methylobacter
sequences. When these sequences were examined, we identified two clones
that exhibited 100% amino acid identity with a type I methanotrophic
isolate from Lake Washington (LW1). The amino acid sequences of some
clones were identical, but the nucleotide sequences were different. In
these cases, both clones are shown in Table 3. For all of the
environmental clones and Lake Washington isolates, the pmoA
gene obtained exhibited a higher level of identity with other
pmoA genes than with a homologous gene, amoA from
Nitrosomonas europaea (Table 4). The levels of nucleotide
sequence identity with amoA ranged from 57.8 to 62.6%, while the levels of amino acid identity with the amoA
product were 47.5 to 56.1%.

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FIG. 1.
Phylogenetic analysis of the derived amino acid
sequences encoded by pmoA genes. Bootstrap values greater
than 50% based on 100 replicates are shown near the branch points. The
bar represents 10% sequence divergence as determined by measuring the
lengths of the horizontal lines connecting two species.
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Phylogenetic analyses.
The 16S rRNA and pmoA
sequences obtained from pure cultures and environmental clones were
subjected to phylogenetic analyses by using PHYLIP. In general, most of
the new sequences grouped within the range of the previously described
sequences (Fig. 1 through 3). However,
one group of 16S rRNA sequences formed a distinct new cluster in
the type II methanotrophs, which was supported by bootstrap values
(Fig. 3). This group comprised isolates
LW3 and PW1 and clone pAMC447. The diversity of both the 16S rRNA and
pmoA representatives was much greater than the
diversity found previously in peat or marine environments and
spanned the known diversity of methanotrophs, except that we found
no 16S rRNA sequences that represented the genera
Methylococcus, Methylosphaera, and Methylocaldum. However, we identified two environmental
pmoA clones that grouped with the genus
Methylococcus, although no Methylocaldum- or Methylosphaera-like pmoA sequences were found.

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FIG. 2.
Phylogenetic analysis of 16S rRNA genes from type I
methanotrophs. Bootstrap values greater than 50% based on 100 replicates are shown near the branch points. The bar represents 5%
sequence divergence as determined by measuring the lengths of the
horizontal lines connecting two species.
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FIG. 3.
Phylogenetic analysis of 16S rRNA genes from type II
methanotrophs. Bootstrap values greater than 50% based on 100 replicates are shown near the branch points. The bar represents 1%
sequence divergence as determined by measuring the lengths of the
horizontal lines connecting two species.
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DISCUSSION |
Methanotrophic bacteria are important environmentally due to their
role in carbon and oxygen cycling, as well as their use in
bioremediation strategies. In order to more fully apply molecular techniques associated with these important bacteria, more information regarding the diversity of in situ populations in various environments is needed. Molecular tools are especially important because many methanotrophs are difficult to isolate on agar plates, which makes growth-based assessment of natural populations problematic
(15). The ability to rapidly assess and monitor natural
populations of methanotrophs by using molecular techniques holds great
promise for understanding the complex role of these bacteria in nature.
Although there are currently primers for studying both 16S rRNA and
pmoA genes of methanotrophs, these primers have some
disadvantages for studying natural populations of the organisms. The
16S rRNA primers currently available were based on a relatively small
sequence database. In addition, our study showed that some of the
previously described sequences on which the primers were based contain
errors that make accurate primer design difficult. In our study, these primers detected only a small subset of the existing methanotroph diversity in Lake Washington samples, and there was specific
underrepresentation of the type I Methylomonas strains and
all of the type II strains (both Methylosinus and
Methylocystis strains). The previously described type I
primers, Mb1007r and Mc1005r (17), were found to be
sufficient for detecting these groups of methanotrophs. The
pmoA primers that are available have a disadvantage opposite that of the 16S rRNA primers in that they amplify both amoA
and pmoA, which makes them too nonspecific for
methanotroph-specific studies. Based on the sequences generated in this
study, we designed new primers for methanotroph 16S rRNA and
pmoA genes that appear to be more useful for studying
methanotroph diversity in freshwater environments.
Using the newly developed primers (in addition to 16S rRNA primers
Mb1007r and Mc1005r), we analyzed the 16S rRNA and pmoA genes in pure cultures isolated from Lake Washington and in
environmental clone libraries obtained from the same sediment. We
identified a broad diversity of both of these genes, including 13 new
type I 16S rRNA genes, 7 new type II 16S rRNA genes, and 18 new
pmoA genes, 5 of which grouped with pmoA
sequences from type II strains. It is especially important to have
additional type II gene data, as the database contains fewer type II
sequences than type I sequences. However, it is equally important to
have added environmental type I sequences to the database, as only two
such sequences, both from marine environments, have been described. We
did not detect any 16S ribosomal DNA (rDNA) sequences that grouped with
the thermophilic methanotrophs belonging to the genera
Methylococcus, Methylocaldum, and
Methylothermus, nor did we detect any
Methylosphaera-like sequences. Since Lake Washington
sediment is a freshwater environment that stays at moderately low
temperatures year-round (10 to 12°C), these results were not surprising.
So far, the phylogeny of the pmoA genes that have been
described has mimicked the 16S rRNA phylogeny of the methanotrophs from
which the pmoA genes were obtained. We observed the same correlation for the genes from new Lake Washington isolates described here. These combined results suggest that pmoA gene
sequences may be useful in inferring 16S rRNA phylogeny of
methanotrophs in situ (28). A comparison of the sequences
from the environmental libraries of the methanotroph 16S rRNA and
pmoA genes showed that the two types of sequences cover
similar ranges of diversity, except that we did detect two
pmoA sequences that are most similar to Methylococcus
pmoA, even though no Methylococcus 16S rDNA sequences were detected.
In addition to the new methanotroph primers, we also identified genus
level OTUs for methanotrophs. Since all of the strains and sequences
tested in this study exhibited complete correlation with the OTUs, it
seems likely that these OTUs will be useful tools for screening
methanotrophic isolates and environmental clone libraries from a wide
range of environments. In addition, the OTUs can also be useful for
screening enrichment cultures for the presence of nonmethanotrophs as
an aid in facilitating isolation and purification of methanotrophs.
Even though all of the methanotroph-specific primers used in this study
showed no other close matches with any of the other organisms in the
database, nonmethanotrophic sequences were obtained with all of the
primers when environmental DNA templates were used. In this study, many of the nonmethanotrophic 16S rRNA sequences obtained were chimeric. As
yet, no reliable protocol to circumvent these problems is in use.
However, in the case of the methanotrophs, our data suggest that the
OTUs defined in this study can be used as initial screening tools to
distinguish between methanotroph and nonmethanotroph sequences in 16S
rRNA gene libraries constructed from environmental samples.
The use of the new tools, new sequences, primers, and OTUs developed in
this study demonstrated that the methanotrophs in Lake Washington
sediment samples that could be detected by the methods which we used
exhibit diversity as broad as the diversity of the known methanotrophs
from all mesophilic environments. These results contrast with the
results of studies of peat environments, which appear to contain only a
limited group of type II strains (23, 25), and marine
environments, which appear to be dominated by a limited group of type I
strains (17, 33). The genes from two of the Lake Washington
strains isolated from enrichment cultures were also found in the
environmental clone libraries, suggesting that these two strains may be
significant in the in situ populations. This is especially true for
strain LW1 since both a 16S rDNA sequence and a pmoA
sequence that exhibited high levels of identity to the same genes in
this strain were found in the clone libraries.
The types of analyses carried out in this study cannot provide
information concerning the dominant groups of methanotrophs in situ
due to the known problems associated with PCR-based approaches, including differential amplification, artifactual PCR products, and
inhibition of PCR amplification by contaminants (35).
However, we are now in a position to develop and test hybridization
probes for assessing the relative importance of methanotroph subgroups and specific strains (such as strain LW1) in detectable
methanotroph populations.
 |
ACKNOWLEDGMENTS |
This work was supported by a subcontract to DOE grant
DE-AC05-960R22464 with Oak Ridge National Laboratory, managed by
Lockheed Martin Energy Research Corp. A.M.C. was supported in part by a National Science Foundation graduate fellowship.
We thank John Murray, University of Washington, and Michaeleen
Callahan, California Institute of Technology, for their assistance during this study.
 |
FOOTNOTES |
*
Corresponding author. Present address: Department of
Civil and Environmental Engineering, Syracuse University, 220 Hinds
Hall, Syracuse, NY 13244. Phone: (315) 443-1057. Fax: (315) 443-1243. E-mail: costello{at}syr.edu.
 |
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