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Applied and Environmental Microbiology, January 2004, p. 240-247, Vol. 70, No. 1
0099-2240/04/$08.00+0 DOI: 10.1128/AEM.70.1.240-247.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Soil Biology, Institute of Terrestrial Ecology, Swiss Federal Institute of Technology Zurich, 8952 Schlieren,1 Swiss Federal Research Station for Agroecology and Agriculture (FAL-Reckenholz), 8046 Zurich, Switzerland2
Received 14 March 2003/ Accepted 29 September 2003
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FIG. 1. (A) Overview of the NifH phylogeny inferred from an 85-amino-acid-residue fragment of protein sequences derived from 128 published nifH DNA sequences of cultivated organisms, selected environmental clones, and 103 nifH sequences cloned from bulk soil DNA in this study. The percentage of 300 bootstrap samplings which supported a cluster are indicated for values of more than 50%. Thirteen major clusters were collapsed for clarity. For each cluster the number of published reference sequences (ref) and sequences cloned with each primer set in this study are given in parentheses. The labeled arrows indicate the position of the target sequences used for the design of each primer set. (B) Schematic representation of the nifH gene, indicating the three primer sites (forA, forB, and rev) used in this study and resulting PCR products. The region that was used for phylogenetic analyses is marked in gray (amino acids 132 to 386). The positions refer to the nifH sequence of A. vinelandii (M20568).
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Due to the physiological diversity of diazotrophs and the documented unculturability of many prokaryotes (20, 29), cultivation-based strategies have severe limitations for the description of the diversity of free-living soil diazotrophs. Therefore, molecular approaches have been developed and successfully applied to describe diazotroph communities in different soil systems, including forest soils (33, 36, 37, 40), pasture, agricultural soils (33), wetland soils (10, 31), and rhizospheres (17, 24). The molecular approach to study the diversity of diazotroph organisms is primarily based on PCR amplification of a marker gene (nifH) for N fixation. This gene codes for the enzyme nitrogenase reductase (the enzyme code for Azotobacter vinelandii is EC 1.18.6.1.1g1m) (4) and has been shown to contain phylogenetic information (18, 28). The phylogeny of nifH is in general agreement with the small-subunit (SSU) rRNA gene-based phylogeny (Fig. 1A) (43), although alternative nitrogenase systems (e.g., vanadium-dependent nitrogenase reductase) and multiple copies of the gene within one genome (5, 43) indicate that the identification of diazotrophs based on nifH must be treated with some caution (41). Many previous studies have been based on PCR amplification using universal primers for nifH (33, 36, 40, 45). In order to achieve universal amplification, these primers were designed to target nifH gene regions encoding highly conserved amino acid sequences. However, the degeneracy of the genetic code introduces considerable variability to the DNA sequence of these regions, and therefore these primers are either highly degenerate (40, 44) or target smaller subsets of the diazotroph community in order to avoid high degeneracy (31, 32, 36). Widmer et al. (40) developed a nested PCR scheme to achieve specific amplification of nifH from bulk soil DNA with a highly degenerate universal primer set (nifH-univ primer set, Fig. 1B). Their protocol was successfully applied to the amplification of nifH sequences from various soil samples and was shown to amplify nifH genes from diverse groups of organisms (9, 17, 37, 40). However, the use of highly degenerate primers combined with low-stringency amplification conditions may lead to biased results and may render the protocol less suited for studies with a more detailed and quantitative focus.
We studied the potential to use the phylogenetic information within the primer sites used by Widmer et al. (40) to construct complementary primers that allowed for a more focused and less biased amplification of subgroups of the diazotroph population in soil. We developed and evaluated new primer sets and optimized PCR protocols that all target the same fragment of nifH as the nifH-univ primer set. This fixed-primer-site approach allowed for direct comparative analysis of the PCR products with molecular fingerprinting techniques. The PCR protocols were tested and optimized on pure-culture DNA and subsequently were used to analyze soil DNA extracts.
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TABLE 1. Description of soils used in this study
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Development of group-specific nifH primers and PCR protocols.
A database of 137 nifH DNA sequences of cultivated diazotrophs published in GenBank was assembled and manually aligned by using Bio-Edit version 5.0.9 (16). The DNA sequences of the primer sites (see Fig. 1B) defined by the nifH-univ primer set (40) were phylogentically analyzed by using the Kimura distance calculation (22) and the unweighted pair group method with arithmetic mean (UPGMA) clustering (27). New primer sets (Table 2) were designed by constructing consensus sequences from nifH genes of phylogenetically related organisms based on these cluster analyses. Primer set nifH-g1 targets Azotobacter spp. nifH sequences (GenBank accession numbers M11579, M20568, X13519, M73020, X03916). Set nifH-c1 targets Clostridium spp. nifH sequences (X07472, X07473, X07474, X07475, C07476, X07477, U59414). Set nifH-b1 targets Herbaspirillum seropedicae nifH sequences (U97121, Z54207). Set nifH-a2 targets Azospirillum brasilense nifH sequences (AF216882, M64344, X51500, X51609). nifH-f1 targets Frankia spp. nifH sequences (U78306, M21132, X57006, L41344, U53362, U53363 X73983, X17522, X76398). Set nifH-a1 targets a subset of Rhizobiales (J01781, L16503, M10587, M15941, M15942, M26961, V01215, Z95225, Z95226, Z95227, M55226, M55227, K01620, Z95230, M55229, M55231, M55232, Z95218, Z95219, Z95220, Z95229).
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TABLE 2. Sequences of primers used in this study
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The specificity of the PCR protocols for the new primer sets was optimized on 14 diazotroph reference strains from several different phylogenetic groups. Template concentrations were adjusted to yield a uniform amplification with bacterial SSU rRNA gene-specific PCR, using primers EUB338 (3) and uni-b-rev (6) with a previously described protocol (39). We adjusted MgCl2 concentration, annealing temperature, cycle number, and primer concentration to achieve maximum specificity and sensitivity for each protocol (Table 3). Subsequently, optimized PCR protocols were applied to DNA extracted in duplicate from soil samples according to Bürgmann et al. (7) by processing 0.5 g of soil, 0.75 g of glass beads, and 1.25 ml of cetyltrimethylammonium bromide extraction buffer for 45 s at 5 m s-1 in a Fastprep bead beater (Bio101/Savant). Quality and quantity of DNA extracts and PCR products (6 µl) were analyzed by agarose gel electrophoresis.
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TABLE 3. Optimized PCR conditions for the different nifH primer sets
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Cloning and sequencing.
PCR products were cloned by using the pGEM-T easy kit (Promega, Madison, Wis.) according to the manufacturer's instructions. Clone libraries were screened by transferring cells from white colonies to PCR tubes containing the appropriate nifH primers and PCR mix. PCR was performed as described above. PCR products from nifH-positive clones were subjected to HaeIII RFLP profiling. At least one clone representing each restriction fragment pattern observed during screening was sequenced. Plasmids were prepared with the QIAprep Spin Miniprep kit (Qiagen, Basel, Switzerland). Sequencing was performed on both strands by using the BigDye Terminator Cycle Sequencing kit (Applied Biosystems, Rotkreuz, Switzerland). Sequences were determined on an ABI PRISM 310 Genetic Analyzer (Applied Biosystems).
Phylogenetic analyses.
The cloned sequences were aligned with 128 nifH sequences of cultured organisms and environmental clones obtained from GenBank. Phylogenetic analyses were performed on a fragment that excluded both primer sites and additional bases at the 3' end of the PCR product (Fig. 1B) to allow phylogenetic analysis with a maximum number of published reference sequences. The programs Protdist and Neighbor from the PHYLIP package (version 3.5c) (15) were used to perform Kimura-based distance matrix calculations (22) and UPGMA clustering (27). Seqboot and Consense from the same package were used to construct consensus cladograms based on 300 bootstrap samplings. The derived phylogenetic inference trees were edited in the program Tree-Explorer (23). Phylogenetically unusual nifH sequences were checked for chimeric characteristics by performing BLAST searches (2) with full-length and partial sequences.
Selected nifH sequences, including cloned and reference sequences, were subjected to in silico RFLP typing with the Webcutter tool (version 2.0; M. Heimann [http://www.firstmarket.com/cutter/cut2.htm]) to predict HaeIII restriction fragment sizes of the amplified fragment.
Nucleotide sequence accession numbers. The 103 nifH sequences isolated from soils were submitted to GenBank and are available under accession numbers AY196363 to AY196465.
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Development and optimization of PCR protocols.
For each of the new nifH primer sets (Table 2) optimized amplification conditions (Table 3) were determined by use of DNA from selected diazotroph reference strains. All optimized PCR protocols revealed strong selectivity for nifH sequences from respective target reference strains, although some weak amplification from certain nontarget strains could not be entirely eliminated (Fig. 2A). More stringent protocols severely reduced amplification efficiency and were therefore not used (data not shown). The nifH-univ primer set did not amplify all reference strains.
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FIG. 2. Amplification of nifH genes using the six new primer sets developed in this study in comparison to universal nifH amplification and amplification of bacterial SSU rRNA genes. (A) PCR amplification from reference strain DNA. Agarose gel (2%) electrophoresis of PCR products (6 µl) amplified with different primer sets (rows) from DNA of 14 reference strains (columns). Only the regions of the gels that contained the approximately 370-bp nifH fragment amplified by the nifH PCR with the indicated primer set or the 1,070-bp fragment amplified by the bacterial (bact.) SSU rRNA gene amplification are shown. Boxed positions indicate expected targets according to DNA sequence analysis. RP, Rhizobium phaseoli; SM, Sinorhizobium meliloti; RT, Rhizobium tropici; FA, Frankia alni (strain Ag45/Mut15); AB, Azospirillum brasilense (DSM 1690); HS, Herbaspirillum seropedicae (DSM 6445); CP, Clostridium pasteurianum (DSM 525); AV, Azotobacter vinelandii (DSM 85); PS, Pseudomonas stutzeri (DSM 4166); RL, Rhizobium leguminosarum (DSM 30132); PA, Paenibacillus azotofixans (DSM 5976); NM, Nostoc muscorum (PCC 7120); AC, Azoarcus communis; FI, F. alni (strain I.3). (B) Amplification of soil DNA extracts. Agarose gel (2%) electrophoresis of PCR products (6 µl) amplified with the same protocols as in panel A from DNA extracted in duplicate from six soils (in the columns, replicate 1 and 2 are indicated).
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RFLP analysis.
PCR products amplified from soils HW, HA, PA, and GA with primers nifH-g1, nifH-c1, nifH-b1, and nifH-f1 were subjected to HaeIII RFLP analysis, which yielded highly reproducible fingerprints. Each primer set resulted in a different RFLP pattern for the same bulk soil DNA extract, as shown for soil PA in Fig. 3 (other data not shown).
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FIG. 3. HaeIII RFLP of nifH PCR products obtained from duplicate DNA extracts (replicates 1 and 2) of PA soil, using nifH-univ primer set and newly developed primer sets nifH-g1, nifH-c1, nifH-b1, and nifH-f1. Numbers on the left indicate fragment sizes of important RFLP fragments discussed in the text, and numbers to the right indicate the fragment sizes of the 1-kb marker.
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Patterns obtained with the different primer sets furthermore indicated differences between the nifH gene pools of the studied soils, as revealed by cluster analysis of the RFLP data. Cluster analyses of the RFLP patterns derived from the nifH-univ amplification did not correctly group all samples: the replicates of the agricultural soils GA and PA did not group together, and in general the calculated distances were small (data not shown). In contrast, cluster analysis of the RFLP patterns obtained with nifH-g1 primers clearly indicated an improved differentiation between soils by grouping the patterns of all replicate soils and correctly separating the similar soils GA and PA (data not shown).
Sequence analysis.
In silico RFLP analysis of DNA sequences of soil-derived clones indicated that the major bands of the respective RFLP patterns were represented by the isolated clones (data not shown). However, comparison of the results of phylogenetic analysis and in silico HaeIII RFLP analysis of the sequenced soil clones and published sequences in our database revealed that single RFLP fragments were not indicative of phylogeny.
Phylogenetic analysis of 128 representative published nifH sequences and the 103 new nifH clones isolated in this study identified several branches in the dendrogram that could be phylogenetically classified as well as a number of branches that contained only environmental clones of yet-uncultivated organisms (Fig. 1A). The primer sets nifH-g1, nifH-c1, and nifH-b1 allowed the amplification of sequences closely related to their intended target sequences but also allowed the amplification of a number of clones belonging to other phylogenetic groups (Fig. 1) (target sequences for nifH-g1,
-proteobacteria; for nifH-c1, alternative nifH 1 and 2; for nifH-b1,
- and ß-proteobacteria). In the case of nifH-g1 all clones that clustered close to the target nifH sequences from A. vinelandii and A. chroococcum strains were obtained from soil PA, while other soils yielded clones that clustered with the
- and ß-proteobacteria cluster or environmental nifH cluster 3. In addition to two sequences similar to that of clostridial nifH, the nifH-c1 set amplified a number of clones grouping with various proteobacterial branches and in addition was the only set that yielded clones that grouped with environmental clones in the branches environmental nifH clusters 1 and 2 (Fig. 1A). The nifH-b1 set amplified many clones that grouped loosely around the Herbaspirillum target sequence (Fig. 1A and 4). While these clones did not appear to be directly related to Herbaspirillum, most clustered with other ß-proteobacteria in the
- and ß-proteobacteria and ß-proteobacteria (Azoarcus) clusters (Fig. 1A). Amplification with nifH-f1 primers yielded no sequences related to known Frankia nifH sequences. However, all 21 clones obtained from soils PA, HA, and HW were highly similar (>88% identity) and formed a tight cluster with two nifH sequences from the ß-proteobacterial genus Burkholderia (Fig. 4). A number of clones obtained with various primer sets clustered with environmental clones in the environmental nifH cluster 3 (Fig. 1A).
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FIG. 4. Sub-tree of NifH sequences belonging to the - and ß-proteobacteria cluster (see Fig. 1). Details of the phylogenetic inference tree are based on Kimura distances and UPGMA clustering of an 85-amino-acid fragment of NifH (see Fig. 1). Sequences were derived from published nifH sequences of known organisms (in italics), environmental clones (plain text), and sequences cloned in this study (underlined). GenBank accession numbers of the nifH sequences are given in parentheses. Two subclusters of environmental clones were collapsed for clarity.
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Previously published studies of nifH sequences in soil indicate a great diversity and great variation of diazotroph community compositions in different soils. Poly et al. reported sequences closely related to the
- and ß-proteobacteria cluster and one clone that clustered closest to our ß-proteobacteria (Azoarcus) group (Fig. 1A, (33). Piceno et al., using a different primer set (31), found nifH sequences mostly related to
-proteobacteria in the rhizosphere of smooth cordgrass (Spartina alterniflora) (24). Rösch et al., again using a different primer set, cloned 10 different nifH sequences related to the
- and ß-proteobacteria and the
-proteobacteria clusters from acid forest soils (36). The nifH-univ primer set that was also used in the present study was applied to study soil diazotroph communities in several previous studies (17, 37, 40). Widmer et al. (40) showed that nifH sequences derived from forest soil and litter clustered with the
- and ß-proteobacteria cluster,
-proteobacteria cluster, and environmental nifH cluster 1 (Fig. 1A). Hamelin et al. (17) isolated a large number of clones from the rhizosphere of the grass Molina coerulea that clustered with environmental nifH cluster 3, environmental nifH cluster 2, and the alternative nifH clusters 1 and 2 (Fig. 1A). These results indicated that the nifH-univ primer set amplified phylogenetically diverse nifH sequences from a broad range of diazotrophs. However, the results presented in this study showed that this primer set did not amplify all diazotroph reference strains, even though the primers for detecting those strains were present in the nifH-univ PCR (Fig. 2A). Others have also found that the amplification range of many primer sets is lower than theoretically expected (32). This may be due to reduced amplification efficiency of certain primer combinations of the degenerate primer sets.
Due to certain limitations, the specificity of PCR amplification from environmental samples cannot be deduced from tests on reference strains or database searches. First, the subset of nifH sequences available for primer design might not be sufficient to adequately assess primer specificity. Second, some weak nonspecific amplification (Fig. 2A) could result in coamplification of environmental nontarget templates. Third, in contrast to the constant concentration of pure-strain DNA used for PCR optimization, the relative abundances of different nifH target sequences in bulk soil DNA extracts may vary over several orders of magnitude.
Improved nifH detection with new homologous primer sets.
In this study we have used a fixed-primer-site approach to develop six new primer sets and optimized PCR protocols designed to amplify a homologous fragment of the nifH gene from different subgroups of diazotrophs (Fig. 1A and Table 2 and 3). The homologous nature of the fragments allowed us to directly compare PCR products obtained with the different primer sets by means of various downstream methods, such as molecular fingerprinting with RFLP (Fig. 3) and sequencing (Fig. 1A and 4). When used in combination the new primer sets allowed for a greatly improved coverage of the diazotroph diversity compared to that of the nifH-univ primer set (40), which was unable to amplify nifH from certain cultures that were amplified by the nifH-g1, nifH-b1, and nifH-f1 primer sets (Fig. 2A).
Four of the specific amplification protocols resulted in a strong amplification of nifH genes from the investigated soils (Fig. 2B). For two of the soils no sufficiently strong amplification was achieved with any of the specific primer sets, despite successful amplification with the nifH-univ primer set. This indicated that the nifH-univ protocol amplified a considerable portion of the overall diazotroph community that was not amplified by any of the specific protocols. This was expected because the new primer sets do not represent the full extent of the degeneracy contained in nifH-univ. However, combined use of the new primer sets and the nifH-univ primer set greatly increases the observable diazotroph diversity. Apart from their use as fingerprinting tools for diazotroph communities, the new protocols are also useful for studies on pure cultures. This was recently demonstrated in a study on nifH mRNA expression in soil using the nifH-g1 primer set (8).
nifH gene pools detected with new primer sets.
The results of RFLP pattern analyses indicated that each new primer set amplified a different subset of phylotypes from the total nifH gene pool and successfully discriminated against other, possibly more abundant phylotypes (Fig. 3). Cluster analyses of the RFLP data showed that the amplification of a subset of the total population resulted in improved differentiation between soils. The limited capacity for sample differentiation of PCR protocols targeting broad phylogenetic groups versus those focusing on narrower groups is frequently observed in comparisons of 16S ribosomal DNA fingerprints of the bacterial domain versus class- or genus-level fingerprints (6). Sequence analyses confirmed the results of RFLP as each of the new primer sets amplified different subsets of nifH sequences (Figs. 1A and 4), which makes them very useful for fingerprinting diazotroph communities. However, while the primers did preferentially amplify nifH sequences related to their intended target pure cultures (Fig. 1A and 2A), environmental conditions (e.g., for nifH-g1 in soils HW and HA or for nifH-c1 and nifH-f1 in all soils) resulted in the amplification of a number of nontarget sequences as well, probably due to a low abundance of target sequences. In the case of the nifH-f1 primer set designed to amplify nifH sequences of Frankia spp., our protocol did not yield nifH sequences from the target phylum (Fig. 1A) at all. However, its demonstrated capability to amplify a narrow subgroup of the
- and ß-proteobacterial cluster (Fig. 4) warrants further investigation of the group specificity of this primer set as deduced from the published sequences and Frankia cultures.
A large number of apparently nontarget nifH sequences amplified with various primer sets grouped within the
- and ß-proteobacteria cluster (Fig. 1A and 4) and environmental nifH cluster 3 (Fig. 1A). We assume that a high abundance of these sequences in soil is responsible for their frequent detection by the new PCR protocols. Sequences belonging to nifH cluster 3 were found to be abundant in grass rhizosphere (Cluster A in Hamelin et al. [17]) and were found in other environmental clone libraries (38, 42). We have identified an nifH homolog in a published genomic sequence of Geobacter metallireducens (AAAS01000020), which clusters with these sequences. To our knowledge, this is the first
-proteobacterial nifH gene sequence that does not cluster with the alternative nifH cluster 1 or 2 (Fig. 1A). Whether the environmental nifH cluster 3 includes other
-proteobacterial nifH sequences remains open until more sequence data from cultured diazotroph
-proteobacteria become available.
Conclusions.
The new primer sets developed in this study can be used to supplement the nifH-univ primer set to target groups of interest with higher resolution. As for the nifH-univ universal primer set, these primer sets clearly cannot be used as direct diagnostic tools for the identification of specific diazotrophs in soil or to deduce a quantitative measure of diazotroph community composition. However, reduction of the complexity and direct comparability of genetic fingerprints obtained with the new primer sets makes them more powerful for detection of differences or changes in diazotroph communities in environmental samples.
René Schaubhut is acknowledged for his help with primer design and technical assistance. Angela Sessitsch (ARC Seibersdorf Research GmbH) is acknowledged for providing Rhizobium reference strains.
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