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Applied and Environmental Microbiology, November 2001, p. 5308-5314, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5308-5314.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Recovery and Phylogenetic Analysis of
nifH Sequences from Diazotrophic Bacteria Associated
with Dead Aboveground Biomass of Spartina
alterniflora
Charles R.
Lovell,1,*
Michael J.
Friez,2
John W.
Longshore,2 and
Christopher E.
Bagwell1,
Department of Biological Sciences, University
of South Carolina, Columbia, South Carolina
29208,1 and Molecular Diagnostics
Laboratory, Greenwood Genetic Center, Greenwood, South Carolina
296462
Received 4 June 2001/Accepted 21 August 2001
 |
ABSTRACT |
DNA was extracted from dry standing dead Spartina
alterniflora stalks as well as dry Spartina
wrack from the North Inlet (South Carolina) and Sapelo Island (Georgia)
salt marshes. Partial nifH sequences were PCR amplified,
the products were separated by denaturing gradient gel electrophoresis
(DGGE), and the prominent DGGE bands were sequenced. Most sequences
(109 of 121) clustered with those from
-Proteobacteria, and 4 were very similar (>99%) to
that of Azospirillum brasilense. Seven sequences
clustered with those from known
-Proteobacteria and
five with those from known anaerobic diazotrophs. The diazotroph
assemblages associated with dead Spartina biomass in
these two salt marshes were very similar, and relatively few major
lineages were represented.
 |
TEXT |
Low elevations of salt marshes along
the Atlantic and northern Gulf of Mexico coasts of temperate
North America are characterized by extensive monoculture stands of the
smooth cordgrass Spartina alterniflora (35).
Spartina marshes support high rates of macrophyte primary
production and microbially mediated nutrient cycling. Numerous studies
indicate that primary production (16, 37) and
decomposition (15, 19, 38) in Spartina marshes
are nitrogen limited. In these systems, diazotrophy
(N2 fixation) is an important source of "new"
nitrogen (8, 23, 40).
A significant but often overlooked focus of diazotrophy in salt marshes
is dead aboveground Spartina biomass, particularly standing
dead biomass (19, 33). There are quite large amounts of
standing dead biomass at all times of the year, with ratios of dead to
live aboveground biomass exceeding 1:1 during the winter and spring
months (7, 31). Standing dead biomass is partially mineralized and frequently very dry (17) but supports
substantial microbial activity (17-19), which is greatly
stimulated when the material becomes wet through tidal action or
precipitation (17). Rates of diazotrophy in moist standing
dead Spartina are among the highest reported for decomposing
plant materials (see Table 4 in reference 19).
Relatively little attention has been given to the microorganisms
involved in decomposition of and diazotrophy in dead aboveground Spartina biomass. Much of the microbial biomass in standing
dead materials consists of fungal hyphae (18).
Cyanobacteria are present but occur chiefly in clay-rich surface films
(18), while diazotrophy occurs primarily on and within the
decaying biomass itself (19). It seems that the
predominant diazotrophs in this material are heterotrophic bacteria,
but the types of organisms present have not been determined.
Recent applications of molecular biological methods have greatly
facilitated the study of natural bacterial communities and functionally
significant taxa within them (9, 34, 39, 42). In
particular, PCR amplification has been used to recover segments of
nifH, the structural gene encoding the nitrogenase iron
protein, from various types of environmental samples, including marine and freshwater plankton (1, 3, 44), termite hindguts
(11, 20), microbial mats and aggregates (21, 22,
43), terrestrial soils (28, 29, 32, 41), the
rhizoplanes of rice (Oryza sativa) (36) and of
shoal grass (Halodule wrightii) (10), and the
rhizosphere of Spartina (14). PCR amplification
of nifH sequences followed by their separation through
denaturing gradient gel electrophoresis (DGGE) has been used to examine
the complexity and stability of the diazotroph assemblage found in the
Spartina rhizosphere (25-27), and sequence
analysis of the DGGE bands has been used to determine phylogenetic
relationships of the diazotrophic organisms represented
(14). While such methods have certain inherent limitations
and biases (25, 42), they provide an efficient means to
profile the diazotrophs associated with dead aboveground
Spartina biomass and to determine the phylogenetic affiliations of these organisms.
In this study we determined the types of diazotrophic heterotrophic
bacteria present in standing dead and loose, recently deposited (wrack)
Spartina biomass, as defined by recoverable partial
nifH sequences resolved by DGGE. Our primary objectives were
to assess the diversity of these assemblages and to identify the major
phylogenetic groups of organisms that are capable of contributing to
N2 fixation in dead aboveground
Spartina biomass.
Sampling sites.
Samples of standing dead Spartina
stalks and Spartina wrack were collected from the short-form
Spartina zones in two different salt marsh systems. The Crab
Haul Creek Basin site in the North Inlet estuary, near Georgetown, S.C.
(79°12'W, 33°20'N), was located in the intertidal zone
approximately 50 m from the nearest tidal creek and was sampled on
31 August 2000. The Doboy Sound site on Sapelo Island, Ga. (31°23'N,
81°17'W), was located in the intertidal zone near Doboy Sound
(Georgia Coastal Ecosystems Long Term Ecological Research Site 6) and
was sampled on 1 August 2000. The upper, approximately 10-cm lengths of
dry standing dead stalks were collected. Dry wrack, which consisted of
loose stalks (litter) recently deposited on the sediment surface, was
collected from deposits lying near the sampling locations for standing
dead stalks. Standing dead stalks and wrack were transferred to sterile
Whirl-Pak bags and stored at
70°C pending DNA extraction.
DNA extraction.
Standing dead and wrack stalks were broken up
into 2-cm fragments. DNA was extracted from the samples using a direct
lysis procedure described previously (13, 25). DNA
extracts were further purified and concentrated using the Wizard DNA
clean-up system following the manufacturer's instructions (Promega,
Madison, Wis.). DNA quality and quantity were assessed by agarose gel
electrophoresis and fluorometry, respectively.
PCR amplification of nifH.
PCR was performed
using Taq DNA polymerase (Qiagen, Valencia, Calif.) in a
reaction mixture containing (25-µl reaction volume) 25 ng of template
DNA, 1.5 mM MgCl2, 2 µM deoxynucleoside
triphosphate (dNTP) mixture, 0.5 pmol of each primer, and 10 µg of
bovine serum albumin. The nifH primers used were those of
Piceno et al. (25) and are specific for heterotrophic
diazotrophs. These primers were designed to have low degeneracy, which
is needed for DGGE applications, and are not expected to amplify
nifH sequences from cyanobacteria, Frankia spp.,
and methanogens. Primer design and testing have been described
previously (25). Amplification was initiated by a
denaturation step at 94°C for 2 min and proceeded in two phases: (i)
a 20-cycle touchdown program (94°C for 45 s, 58°C for 30 s, decreasing 0.5°C/cycle, and 70°C for 30 s), and (ii) 20 cycles of a standard amplification program at a 48°C annealing temperature for 30 s. A final extension step at 70°C for 2 min was used. Multiple individual reactions were performed for each sample.
PCR products were pooled (200-µl final volume per sample) and stored
as alcohol precipitates at
20°C. Prior to DGGE, amplimers were
recovered by centrifugation and dissolved in 15 µl of TE (10 mM
Tris-HCl [pH 8.0], 1 mM EDTA).
DGGE.
nifH amplimers were electrophoresed on
denaturing gradient gels (1-mm thick, 6.5% polyacrylamide, 78 to 89%
denaturant, where 100% denaturant contains 7 M urea and 40%
formamide) at 48°C for 1,900 V · h using the Bio-Rad (Hercules,
Calif.) DCode universal mutation detection system. Gels were stained
for 30 min in TE with SYBR Gold (Molecular Probes, Eugene, Oreg.) and
documented using the Alpha Imager 2000 (Alpha Innotech Corp., San
Leandro, Calif.). Gel plugs were collected from all well-resolved bands in the profiles using wide-bore micropipette tips and stored in 50 µl
of distilled water at
20°C. Gel bands were designated
homoduplexes or heteroduplexes following previously described methods
(25).
Amplimer cloning and identification of different cloned amplimer
sequences.
Amplimers from DGGE gel plugs were recovered by
reamplification and cloned as described previously (14).
Recombinant colonies were maintained on Luria-Bertani agar plates
containing 100 µg of ampicillin ml
1. Clones
were screened for appropriately sized insert by amplification using
primers specific for the SP6 and T7 RNA polymerase binding sites
(14). Restriction fragment length polymorphism analysis was employed to assess gel band amplimer composition (i.e., homogeneous or heterogeneous) and to identify different clones for sequencing (14).
DNA sequencing and analysis.
Recombinant plasmids were
purified from selected clones by using the Qiagen Plasmid Mini Kit.
Plasmid concentrations were determined fluorometrically. Sequencing
reactions used T7 and Sp6 primers and ABI (Applied Biosystems, Foster
City, Calif.) BigDye version 2.0 chemistry. Sequences were determined
using an ABI 3100 genetic analyzer. For phylogenetic reconstructions, nifH sequences from numerous different known diazotrophs and
from various environmental sources were selected using the Blast search feature of the NCBI GenBank database (2). Nucleotide
sequences were translated, and the inferred amino acid sequences were
aligned (5) and checked by hand for proper alignment of
conserved marker residues (14). Neighbor-joining
phylogenies (30) were constructed in MEGA version 2.0 (12) using percent dissimilarity distances and pairwise
deletion of gaps and missing data. The use of alternative amino acid
distance measures (e.g., Poisson and gamma correction for multiple
substitutions) or tree construction methods (neighbor joining or
Unweighted Pair Group Method Using Arithmetic Averages) had no
significant effect on the resulting dendrogram topology (data not
shown). NifH amino acid sequences from Methanobacterium thermoautotrophicum (accession no. AE00916) and
Methanosarcina barkeri (X56072) were used as outgroup taxa.
Bootstrapping (6) was used to estimate the reliability of
phylogenetic reconstructions (500 replicates).
All dead aboveground Spartina biomass samples yielded strong
amplification products, although the North Inlet samples produced substantially stronger amplification than the Sapelo Island samples (Fig. 1). DGGE yielded 16 well-resolved
nifH amplimer bands from North Inlet standing dead biomass
and 9 bands from wrack. Due to somewhat lower yields of amplification
products from the Sapelo Island samples, only five robust bands were
recovered from the standing dead material and four bands from wrack.
All of these bands were successfully sampled, and the amplimers were
cloned and screened for unique sequences. An artifact band, which was described previously (25), was also observed in each
sample lane. A total of 54 different partial nifH sequences
were recovered from standing dead Spartina and 24 from
Spartina wrack collected at North Inlet. Twenty-one
different sequences were recovered from the standing dead material and
20 from the wrack from Sapelo Island.

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FIG. 1.
Denaturing gradient gel images showing
nifH amplimers from dead aboveground
Spartina biomass. PCR and DGGE conditions are described
in Materials and Methods. Lanes: A, North Inlet standing dead
Spartina; B, North Inlet Spartina wrack;
C, Sapelo Island standing dead; D, Sapelo Island wrack; Art.,
artifact.
|
|
The partial
nifH sequences were initially translated and
examined for key, highly conserved amino acid residues that are
important
in nitrogenase iron protein structure and function (
4,
24).
Within the segments analyzed, 11 amino acids, including
(
Klebsiella pneumoniae [J01740] numbering) Lys15 and Ser16
(within the MgATP
binding domain), Arg100 (the ADP-ribosylation site),
Asp125 (possibly
involved in protein conformation changes), Asp129
(involved in
ATP hydrolysis), Arg140 and Lys143 (contribute to salt
bridge
formation), and four conserved Cys residues (numbers 38, 85, 97,
and 132, two of which coordinate the
Fe
4S
4 cluster), were used
as markers for determining sequence accuracy. Four sequences had
one
substitution each: NIS2-1 and SIW2-6, Cys85 replaced by Arg85;
NIS3-2,
Ser16 replaced by Trp16; and NIW8-1, Cys97 replaced by
Arg97. All
sequences were used in subsequent
analyses.
The sequences from dead aboveground
Spartina biomass and
their closest affiliations with known diazotrophs on the basis of
sequence similarity are listed in Table
1. As has been reported
in numerous previous studies of environmental
nifH sequences
(
1,
3,
14,
29,
36,
41,
43,
44), these sequences fell
into
three major clusters. The overwhelming majority of dead
Spartina nifH sequences were affiliated with a
cluster defined by sequences
from

-
Proteobacteria and
well supported by bootstrapping (Fig.
2).
Forty-six of 54 sequences (85%) from the North Inlet standing
dead
sample, all 24 of the sequences from North Inlet wrack (100%),
19 of
21 sequences (90%) from the Sapelo Island standing dead
sample, and 17 of 20 sequences (85%) from Sapelo Island wrack
were from presumptive

-
Proteobacteria. These sequences were further
subdivided
into a number of smaller clusters, some of which contained
nifH sequences from known diazotrophs.
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TABLE 1.
Similarities of dead aboveground Spartina
biomass NifH amino acid sequences to the most similar sequences from
known diazotrophic bacterial speciesa
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FIG. 2.
Phylogenetic analysis of dead aboveground
Spartina biomass NifH amino acid sequences from
presumptive -Proteobacteria, from various known
-Proteobacteria, and from selected unknown,
presumptive -Proteobacteria from other sources. NIS,
North Inlet standing dead Spartina; NIW, North Inlet
Spartina wrack; SIS, Sapelo Island standing dead
Spartina; SIW, Sapelo Island Spartina
wrack. The percentage of 500 bootstrap samples that supported each
branch is shown. Bootstrap values below 50% are not shown.
|
|
Several sequences from North Inlet standing dead
Spartina
biomass were closely affiliated with purple nonsulfur bacteria,
and seven had substantial similarity (

96%) to the
Rhodobacter sphaeroides NifH sequence (Table
1).
Several sequences from all
sample types were over 95% similar to the
Gluconacetobacter diazotrophicus sequence. Another group of
eight sequences from North Inlet samples
were substantially similar
(

95%) to NifH sequences from rhizobia.
Seven of these were over 97%
similar to a
Bradyrhizobium japonicum sequence. Another
substantial sequence grouping, predominantly
from the Sapelo Island
standing dead sample, was strongly affiliated
with the NifH sequence
from
Azospirillum brasilense. Four of these
had 99% or
greater similarity to the
A. brasilense sequence, and
two
were identical to it. The NifH sequences of
A. brasilense and
Azospirillum lipoferum are 99.3% similar, so at least
four
of the dead
Spartina biomass NifH sequences were very
likely from
Azospirillum species and two seemingly from a
strain of
A. brasilense.
This finding confirms the
prediction of Newell et al. (
19) that
Azospirillum-like organisms may be involved in degradation
of
standing dead
Spartina biomass. There were also many
sequences
that were not closely affiliated with any known diazotrophs
among
the

-
Proteobacteria. Blast searches of the NCBI
GenBank database
revealed only a few sequences from other types of
environmental
samples that had meaningful similarity to any
sequences from dead
aboveground
Spartina biomass.
Among these were four sequences
recovered from the
Spartina
rhizosphere (
14).
The second major cluster containing sequences from dead aboveground
Spartina biomass was characterized by sequences from

-
Proteobacteria (Fig.
3).
This cluster contained three sequences from standing
dead
Spartina whose positions were ambiguous. When these three
sequences were omitted and the tree was reconstructed, the

-
Proteobacteria cluster was strongly supported by
bootstrap analysis (60% for
the cluster as a whole, 96 and 91% for
the two major subclusters).
Omitting these sequences also raised the
bootstrap score for the

-
Proteobacteria cluster from 76 to 99%. One of the remaining
seven presumptive

-
Proteobacteria sequences was very strongly
affiliated
with the
Azotobacteriaceae, with over 99% similarity
to the
NifH sequences of
Azomonas agilis and
Azotobacter
chroococcum (Table
1). For comparison, the NifH sequences of
A. chroococcum and
Azotobacter vinelandii are
99.3% similar. Two other sequences
also had substantial similarity
(

95%) to sequences from azotobacteria.
The only other sequence with
strong similarity to a sequence from
a known organism was a North Inlet
standing dead sequence that
was >98% similar to the sequence from
Pseudomonas stutzeri. As
was the case for sequences from
presumptive

-
Proteobacteria,
few environmental sequences
were substantially similar to those
from dead aboveground
Spartina biomass, and these were from the
Spartina rhizosphere.

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FIG. 3.
Phylogenetic analysis of dead aboveground
Spartina biomass NifH amino acid sequences from
presumptive -Proteobacteria, from various known
-Proteobacteria, and from selected unknown,
presumptive -Proteobacteria from other sources. NIS,
North Inlet standing dead Spartina; NIW, North Inlet
Spartina wrack; SIS, Sapelo Island standing dead
Spartina; SIW, Sapelo Island Spartina
wrack. The percentage of 500 bootstrap samples that supported each
branch is shown. Bootstrap values below 50% are not shown.
|
|
Only five sequences recovered from dead aboveground
Spartina
biomass were affiliated with the remaining major NifH sequence
cluster,
the anaerobes (Fig.
4). While the closest
affiliations
of these sequences to any from known organisms were all
with sulfate-reducing
bacteria, none of the dead
Spartina
NifH sequences were sufficiently
similar to any sequence from a known
diazotroph to permit even
presumptive identification. Two sequences
from the North Inlet
standing dead sample were similar to sequences
from
Spartina rhizosphere,
but since the rhizosphere core
samples contained both roots and
sediments, and the dead aboveground
biomass samples all carried
a small amount of sediment, these sequences
may be from sediment
diazotrophs rather than species closely affiliated
with the decomposing
plant materials.

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FIG. 4.
Phylogenetic analysis of dead aboveground
Spartina biomass NifH amino acid sequences from unknown,
presumptive anaerobic bacterial sequences, from various known anaerobic
bacteria, and from selected unknown, presumptive anaerobic bacteria
from other sources. NIS, North Inlet standing dead
Spartina; NIW, North Inlet Spartina
wrack; SIS, Sapelo Island standing dead Spartina; SIW,
Sapelo Island Spartina wrack. The percentage of 500 bootstrap samples that supported each branch is shown. Bootstrap values
below 50% are not shown.
|
|
NifH sequences recovered from dead
Spartina biomass
reflected a diazotroph assemblage of very limited diversity,
consisting
almost exclusively of

-
Proteobacteria.
Some of these organisms
are apparently related to known
diazotrophs, including
Azospirillum brasilense,
Bradyrhizobium japonicum,
Gluconacetobacter
diazotrophicus,
and
Rhodobacter sphaeroides. Very
few sequences from dead
Spartina biomass were affiliated
with the other major NifH sequence groups.
However, it is noteworthy
that among the few sequences recovered
from presumptive

-
Proteobacteria, several were quite similar
to those from
known diazotrophs, including
Azomonas agilis,
Azotobacter chroococcum, and
Pseudomonas
stutzeri. While it is certainly possible
that some sequences were
lost due to PCR biases or other artifacts
(
25,
42),
identical methods have yielded much more diverse
sequence collections
from other sample types (
14; Lovell et
al., unpublished
data). It appears that while the relatively harsh
(partially
mineralized and frequently dry) microenvironments represented
by dead
aboveground
Spartina biomass can support impressive
rates
of diazotrophy (
19) when wet, they pose a
substantial challenge
for many diazotrophic biota and consequently
harbor a very restricted
range of
organisms.
Nucleotide sequence accession numbers.
The nifH
sequences determined in this study are available in the GenBank
database under accession numbers AF389702 to AF389823.
 |
ACKNOWLEDGMENTS |
We acknowledge Steven Newell for assistance with Sapelo Island
sampling site identification and the Belle W. Baruch Institute for
Marine and Coastal Research for access to North Inlet sampling sites.
This research was supported by NSF award DEB-9903623 to C.R.L.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Biological Sciences, University of South Carolina, Columbia, SC 29208. Phone: (803) 777-7036. Fax: (803) 777-4002. E-mail:
lovell{at}biol.sc.edu.
Present address: Environmental Sciences Division, Oak Ridge
National Laboratory, Oak Ridge, TN 37831.
 |
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Applied and Environmental Microbiology, November 2001, p. 5308-5314, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5308-5314.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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