Biogeography of Actinomycete Communities and Type II Polyketide Synthase Genes in Soils Collected in New Jersey and Central Asia

Soil microbial communities are believed to be comprised of thousands of different bacterial species. One prevailing idea is that “everything is everywhere, and the environment selects,” implying that all types of bacteria are present in all environments where their growth requirements are met. We tested this hypothesis using actinomycete communities and type II polyketide synthase (PKS) genes found in soils collected from New Jersey and Uzbekistan (n = 91). Terminal restriction fragment length polymorphism analysis using actinomycete 16S rRNA and type II PKS genes was employed to determine community profiles. The terminal fragment frequencies in soil samples had a lognormal distribution, indicating that the majority of actinomycete phylotypes and PKS pathways are present infrequently in the environment. Less than 1% of peaks were detected in more than 50% of samples, and as many as 18% of the fragments were unique and detected in only one sample. Actinomycete 16S rRNA fingerprints clustered by country of origin, indicating that unique populations are present in North America and Central Asia. Sequence analysis of type II PKS gene fragments cloned from Uzbek soil revealed 35 novel sequence clades whose levels of identity to genes in the GenBank database ranged from 68 to 92%. The data indicate that actinomycetes are patchily distributed but that distinct populations are present in North American and Central Asia. These results have implications for microbial bioprospecting and indicate that the cosmopolitan actinomycete species and PKS pathways may account for only a small proportion of the total diversity in soil.     

Identification of unique type II polyketide synthase genes in soil

Many bacteria, particularly actinomycetes, are known to produce secondary metabolites synthesized by polyketide synthases (PKS). Bacterial polyketides are a particularly rich source of bioactive molecules, many of which are of potential pharmaceutical relevance. To directly access PKS gene diversity from soil, we developed degenerate PCR primers for actinomycete type II KS(alpha) (ketosynthase) genes. Twenty-one soil samples were collected from diverse sources in New Jersey, and their bacterial communities were compared by terminal restriction fragment length polymorphism (TRFLP) analysis of PCR products generated using bacterial 16S rRNA gene primers (27F and 1525R) as well as an actinomycete-specific forward primer. The distribution of actinomycetes was highly variable but correlated with the overall bacterial species composition as determined by TRFLP. Two samples were identified to contain a particularly rich and unique actinomycete community based on their TRFLP patterns. The same samples also contained the greatest diversity of KS(alpha) genes as determined by TRFLP analysis of KS(alpha) PCR products. KS(alpha) PCR products from these and three additional samples with interesting TRFLP pattern were cloned, and seven novel clades of KS(alpha) genes were identified. Greatest sequence diversity was observed in a sample containing a moderate number of peaks in its KS(alpha) TRFLP. The nucleotide sequences were between 74 and 81% identical to known sequences in GenBank. One cluster of sequences was most similar to the KS(alpha) involved in ardacin (glycopeptide antibiotic) production by Kibdelosporangium aridum. The remaining sequences showed greatest similarity to the KS(alpha) genes in pathways producing the angucycline-derived antibiotics simocyclinone, pradimicin, and jasomycin.     

Identification of Unique Type II Polyketide Synthase Genes in Soil

Many bacteria, particularly actinomycetes, are known to produce secondary metabolites synthesized by polyketide synthases (PKS). Bacterial polyketides are a particularly rich source of bioactive molecules, many of which are of potential pharmaceutical relevance. To directly access PKS gene diversity from soil, we developed degenerate PCR primers for actinomycete type II KS_α (ketosynthase) genes. Twenty-one soil samples were collected from diverse sources in New Jersey, and their bacterial communities were compared by terminal restriction fragment length polymorphism (TRFLP) analysis of PCR products generated using bacterial 16S rRNA gene primers (27F and 1525R) as well as an actinomycete-specific forward primer. The distribution of actinomycetes was highly variable but correlated with the overall bacterial species composition as determined by TRFLP. Two samples were identified to contain a particularly rich and unique actinomycete community based on their TRFLP patterns. The same samples also contained the greatest diversity of KS_α genes as determined by TRFLP analysis of KS_α PCR products. KS_α PCR products from these and three additional samples with interesting TRFLP pattern were cloned, and seven novel clades of KS_α genes were identified. Greatest sequence diversity was observed in a sample containing a moderate number of peaks in its KS_α TRFLP. The nucleotide sequences were between 74 and 81% identical to known sequences in GenBank. One cluster of sequences was most similar to the KS_α involved in ardacin (glycopeptide antibiotic) production by Kibdelosporangium aridum. The remaining sequences showed greatest similarity to the KS_α genes in pathways producing the angucycline-derived antibiotics simocyclinone, pradimicin, and jasomycin.     

Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients.

A group-specific primer, F243 (positions 226 to 243, Escherichia coli numbering), was developed by comparison of sequences of genes encoding 16S rRNA (16S rDNA) for the detection of actinomycetes in the environment with PCR and temperature or denaturing gradient gel electrophoresis (TGGE or DGGE, respectively). The specificity of the forward primer in combination with different reverse ones was tested with genomic DNA from a variety of bacterial strains. Most actinomycetes investigated could be separated by TGGE and DGGE, with both techniques giving similar results. Two strategies were employed to study natural microbial communities. First, we used the selective amplification of actinomycete sequences (E. coli positions 226 to 528) for direct analysis of the products in denaturing gradients. Second, a nested PCR providing actinomycete-specific fragments (E. coli positions 226 to 1401) was used which served as template for a PCR when conserved primers were used. The products (E. coli positions 968 to 1401) of this indirect approach were then separated by use of gradient gels. Both approaches allowed detection of actinomycete communities in soil. The second strategy allowed the estimation of the relative abundance of actinomycetes within the bacterial community. Mixtures of PCR-derived 16S rDNA fragments were used as model communities consisting of five actinomycetes and five other bacterial species. Actinomycete products were obtained over a 100-fold dilution range of the actinomycete DNA in the model community by specific PCR; detection of the diluted actinomycete DNA was not possible when conserved primers were used. The methods tested for detection were applied to monitor actinomycete community changes in potato rhizosphere and to investigate actinomycete diversity in different soils.     

Bacterial communities in Arctic fjelds of Finnish Lapland are stable but highly pH-dependent

The seasonal and spatial variations of microbial communities in Arctic fjelds of Finnish Lapland were studied. Phospholipid fatty acid analysis (PLFA) and terminal restriction fragment analysis (T-RFLP) of amplified 16S rRNA genes were used to assess the effect of soil conditions and vegetation on microbial community structures along different altitudes of two fjelds, Saana and Jehkas. Terminal restriction fragments were additionally analysed from c. 160 cloned sequences and isolated bacterial strains and matched with those of soil DNA samples. T-RFLP and PLFA analyses indicated relatively similar microbial communities at various altitudes and under different vegetation of the two fjelds. However, soil pH had a major influence on microbial community composition. Members of the phylum Acidobacteria dominated especially in the low pH soils (pH 4.6-5.2), but above pH 5.5, the relative amount of terminal restriction fragments corresponding to acidobacterial clones was substantially lower. Both T-RFLP and PLFA analysis indicated stable microbial communities as the DNA and fatty acid profiles were similar in spring and late summer samples sampled over 3 years. These results indicate that differences in microbial community composition could be explained primarily by variation in the bedrock materials that cause variation in the soil pH.     

四种红树植物根际土壤微生物Ⅰ型和Ⅱ型PKS基因的检测与多样性分析

[目的]探究红树林土壤中聚酮合酶(Polyketide synthase,PKS)基因的多样性和新颖性.[方法]用Ⅰ型和Ⅱ型PKS基因酮基合成酶(Ketosynthase,KS)域的简并引物对海南清澜港红树林海莲、黄槿、银叶、老鼠簕4种红树根际土壤样品中DNA进行PCR扩增,之后利用PCR-限制性酶切片段多样性(PCR-RFLP)和测序分析法对Ⅰ型和Ⅱ型PKS基因的多样性进行探讨.[结果]对得到的72条Ⅰ型PKS基因的酮基合成酶(Ketosynthase,KS)域DNA序列进行PCR-RFLP分析,共得到51个可操作分类单元(Operational taxonomic unit,OTUs),其中37个OTUs为单克隆产生,没有明显的优势OTU.选取了26个代表不同OTU的克隆进行测序分析,这些序列与GenBank中已知序列的最大相似率均未超过85％. KS域氨基酸序列的系统发育分析显示,所得KS域来源广泛,包括蓝细菌门(Cyanobacteria)、变形杆菌门(Proteobacteria)、厚壁菌门(Firmicutes)、放线菌门(Actinobacteria)和一些未可培养细菌;对55条PKSⅡ基因KS域DNA序列的PCR-RFLP分析后共得到25个OTUs,有两个明显的优势OTUs,代表的克隆子数所占比例超过10％.[结论]PCR-RFLP分析表明红树林根际土壤中存在着丰富多样的Ⅰ型和Ⅱ型PKS基因,且前者多样性更高;低的序列相似度表明所获得的PKSⅠ基因KS域序列独特;系统发育分析表明得到的PKSⅠ基因来源广泛.     

Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA.

We describe a new molecular approach to analyzing the genetic diversity of complex microbial populations. This technique is based on the separation of polymerase chain reaction-amplified fragments of genes coding for 16S rRNA, all the same length, by denaturing gradient gel electrophoresis (DGGE). DGGE analysis of different microbial communities demonstrated the presence of up to 10 distinguishable bands in the separation pattern, which were most likely derived from as many different species constituting these populations, and thereby generated a DGGE profile of the populations. We showed that it is possible to identify constituents which represent only 1% of the total population. With an oligonucleotide probe specific for the V3 region of 16S rRNA of sulfate-reducing bacteria, particular DNA fragments from some of the microbial populations could be identified by hybridization analysis. Analysis of the genomic DNA from a bacterial biofilm grown under aerobic conditions suggests that sulfate-reducing bacteria, despite their anaerobicity, were present in this environment. The results we obtained demonstrate that this technique will contribute to our understanding of the genetic diversity of uncharacterized microbial populations.     

Characterization of Microbial Communities Found in the Human Vagina by Analysis of Terminal Restriction Fragment Length Polymorphisms of 16S rRNA Genes

To define and monitor the structure of microbial communities found in the human vagina, a cultivation-independent approach based on analyses of terminal restriction fragment length polymorphisms (T-RFLP) of 16S rRNA genes was developed and validated. Sixteen bacterial strains commonly found in the human vagina were used to construct model communities that were subsequently used to develop efficient means for the isolation of genomic DNA and an optimal strategy for T-RFLP analyses. The various genera in the model community could best be resolved by digesting amplicons made using bacterial primers 8f and 926r with HaeIII; fewer strains could be resolved using other primer-enzyme combinations, and no combination successfully distinguished certain species of the same genus. To demonstrate the utility of the approach, samples from five women that had been collected over a 2-month period were analyzed. Differences and similarities among the vaginal microbial communities of the women were readily apparent. The T-RFLP data suggest that the communities of three women were dominated by a single phylotype, most likely species of Lactobacillus. In contrast, the communities of two other women included numerically abundant populations that differed from Lactobacillus strains whose 16S rRNA genes had been previously determined. The T-RFLP profiles of samples from all the women were largely invariant over time, indicating that the kinds and abundances of the numerically dominant populations were relatively stable throughout two menstrual cycles. These findings show that T-RFLP of 16S rRNA genes can be used to compare vaginal microbial communities and gain information about the numerically dominant populations that are present.     

Characterization of microbial communities found in the human vagina by analysis of terminal restriction fragment length polymorphisms of 16S rRNA genes

To define and monitor the structure of microbial communities found in the human vagina, a cultivation-independent approach based on analyses of terminal restriction fragment length polymorphisms (T-RFLP) of 16S rRNA genes was developed and validated. Sixteen bacterial strains commonly found in the human vagina were used to construct model communities that were subsequently used to develop efficient means for the isolation of genomic DNA and an optimal strategy for T-RFLP analyses. The various genera in the model community could best be resolved by digesting amplicons made using bacterial primers 8f and 926r with HaeIII; fewer strains could be resolved using other primer-enzyme combinations, and no combination successfully distinguished certain species of the same genus. To demonstrate the utility of the approach, samples from five women that had been collected over a 2-month period were analyzed. Differences and similarities among the vaginal microbial communities of the women were readily apparent. The T-RFLP data suggest that the communities of three women were dominated by a single phylotype, most likely species of Lactobacillus. In contrast, the communities of two other women included numerically abundant populations that differed from Lactobacillus strains whose 16S rRNA genes had been previously determined. The T-RFLP profiles of samples from all the women were largely invariant over time, indicating that the kinds and abundances of the numerically dominant populations were relatively stable throughout two menstrual cycles. These findings show that T-RFLP of 16S rRNA genes can be used to compare vaginal microbial communities and gain information about the numerically dominant populations that are present.     

Assessment of the spatial distribution of soil microbial communities in patchy arid and semi-arid landscapes of the Negev Desert using combined PLFA and DGGE analyses

Arid and semi-arid ecosystems are often characterized by vegetation patchiness and variable availability of resources. Phospholipid fatty acid (PLFA) and 16S rRNA gene fragment analyses were used to compare the bulk soil microbial community structure at patchy arid and semi-arid landscapes. Multivariate analyses of the PLFA data and the 16S rRNA gene fragments were in agreement with each other, suggesting that the differences between bulk soil microbial communities were primarily related to shrub vs intershrub patches, irrespective of climatic or site differences. This suggests that the mere presence of a living shrub is the dominant driving factor for the differential adaptation of the microbial communities. Lipid markers suggested as indicators of Gram-positive bacteria were higher in soils under the shrub canopies, while markers suggested as indicators of cyanobacteria and anaerobic bacteria were elevated in the intershrub soils. Secondary differences between soil microbial communities were associated with intershrub characteristics and to a lesser extent with the shrub species. This study provides an insight into the multifaceted nature of the factors that shape the microbial community structure in patchy desert landscapes. It further suggests that these drivers not only act in concert but also in a way that is dependent on the aridity level.     

Seasonal Fluctuations of Bacterial Community Diversity in Agricultural Soil and Experimental Validation by Laboratory Disturbance Experiments

Natural fluctuations in soil microbial communities are poorly documented because of the inherent difficulty to perform a simultaneous analysis of the relative abundances of multiple populations over a long time period. Yet, it is important to understand the magnitudes of community composition variability as a function of natural influences (e.g., temperature, plant growth, or rainfall) because this forms the reference or baseline against which external disturbances (e.g., anthropogenic emissions) can be judged. Second, definition of baseline fluctuations in complex microbial communities may help to understand at which point the systems become unbalanced and cannot return to their original composition. In this paper, we examined the seasonal fluctuations in the bacterial community of an agricultural soil used for regular plant crop production by using terminal restriction fragment length polymorphism profiling (T-RFLP) of the amplified 16S ribosomal ribonucleic acid (rRNA) gene diversity. Cluster and statistical analysis of T-RFLP data showed that soil bacterial communities fluctuated very little during the seasons (similarity indices between 0.835 and 0.997) with insignificant variations in 16S rRNA gene richness and diversity indices. Despite overall insignificant fluctuations, between 8 and 30% of all terminal restriction fragments changed their relative intensity in a significant manner among consecutive time samples. To determine the magnitude of community variations induced by external factors, soil samples were subjected to either inoculation with a pure bacterial culture, addition of the herbicide mecoprop, or addition of nutrients. All treatments resulted in statistically measurable changes of T-RFLP profiles of the communities. Addition of nutrients or bacteria plus mecoprop resulted in bacteria composition, which did not return to the original profile within 14 days. We propose that at less than 70% similarity in T-RFLP, the bacterial communities risk to drift apart to inherently different states.     

Development of a fluorophore-ribosomal DNA restriction typing method for monitoring structural shifts of microbial communities

DNA restriction fragment polymorphism technologies such as amplified ribosomal DNA restriction analysis (ARDRA) and terminal restriction fragment length polymorphism (T-RFLP) have been widely used in investigating microbial community structures. However, these methods are limited due to either the low resolution or sensitivity. In this study, a fluorophore-ribosomal DNA restriction typing (f-DRT) approach is developed for structural profiling of microbial communities. 16S rRNA genes are amplified from the community DNA and digested by a single restriction enzyme Msp I. All restriction fragments are end-labeled with a fluorescent nucleotide Cy5-dCTP via a one-step extension reaction and detected with an automated DNA sequencer. All 50 predicted restriction fragments between 100 and 600 bp were detected when twelve single 16S rRNA gene sequences were analyzed using f-DRT approach; 92% of these fragments were determined with accuracy of ±2 bp. In the defined model communities containing five components with different ratios, relative abundance of each component was correctly revealed by this method. The f-DRT analysis also showed structural shifts of intestinal microbiota in carcinogen-treated rats during the formation of precancerous lesions in the colon, as sensitive as multiple digestion-based T-RFLP analysis. This study provides a labor and cost-saving new method for monitoring structural shifts of microbial communities.     

Separation of fluorescence-labelled terminal restriction fragment DNA on a two-dimensional gel (T-RFs-2D) - an efficient approach for microbial consortium characterization

Fingerprinting techniques provide access to understanding the ecology of uncultured microbial consortia. However, the application of current techniques such as terminal restriction fragment length polymorphism (T-RFLP) and denaturing gradient gel electrophoresis (DGGE) has been hindered due to their limitations in characterizing complex microbial communities. This is due to that different populations possibly share the same terminal restriction fragments (T-RFs) and DNA fragments may co-migrate on DGGE gels. To overcome these limitations, a new approach was developed to separate terminal restriction fragments (T-RFs) of 16S rRNA genes on a two-dimensional gel (T-RFs-2D). T-RFs-2D involves restriction digestion of terminal fluorescence-labelled PCR amplified 16S rRNA gene products and their high-resolution separation via a two-dimensional (2D) gel electrophoresis based on the T-RF fragment size (1(st) D) and its sequence composition on the denaturing gradient gel (2(nd) D). The sequence information of interested T-RFs on 2D gels can be obtained through serial poly(A) tailing reaction, PCR amplification and subsequent DNA sequencing. By employing the T-RFs-2D method, bacteria with MspI digested T-RF size of 436 (±1) bp and 514 (±1) bp were identified to be a Lysobacter sp. and a Dehalococcoides sp. in a polychlorinated biphenyl (PCB) dechlorinating culture. With the high resolution of 2D separation, T-RFs-2D separated 63 DNA fragments in a complex river-sediment microbial community, while traditional DGGE detected only 41 DNA fragments in the same sample. In all, T-RFs-2D has its advantage in obtaining sequence information of interested T-RFs and also in characterization of complex microbial communities.     

Development of a 16S rRNA gene-based prototype microarray for the detection of selected actinomycetes genera

Actinomycetes are known for their secondary metabolites, which have been successfully used as drugs in human and veterinary medicines. However, information on the distribution of this group of Gram-positive bacteria in diverse ecosystems and a comprehension of their activities in ecosystem processes are still scarce. We have developed a 16S rRNA-based taxonomic microarray that targets key actinomycetes at the genus level. In total, 113 actinomycete 16S rRNA probes, corresponding to 55 of the 202 described genera, were designed. The microarray accuracy was evaluated by comparing signal intensities with probe/target-weighted mismatch values and the Gibbs energy of the probe/target duplex formation by hybridizing 17 non-actinomycete and 29 actinomycete strains/clones with the probe set. The validation proved that the probe set was specific, with only 1.3% of false results. The incomplete coverage of actinomycetes by a genus-specific probe was caused by the limited number of 16S rRNA gene sequences in databases or insufficient 16S rRNA gene polymorphism. The microarray enabled discrimination between actinomycete communities from three forest soil samples collected at one site. Cloning and sequencing of 16S rRNA genes from one of the soil samples confirmed the microarray results. We propose that this newly constructed microarray will be a valuable tool for genus-level comparisons of actinomycete communities in various ecological conditions.     

An approach for obtaining perfect hybridization probes for unknown polyketide synthase genes: a search for the epothilone gene cluster

An approach is described for obtaining 'perfect probes' for type I modular polyketide synthase (PKS) gene clusters that in turn enables the identification of all such gene clusters in a genome. The approach involves sequencing small fragments of a random genomic DNA library containing one or more modular PKS gene clusters, and identifying which fragments emanate from PKS genes. Knowing the approximate sizes of the genome and the target gene cluster, one can predict the the frequency that a PKS gene fragment will be present in the library sequenced. Computer simulations of the approach were applied to the known PKS and non-ribosomal peptide synthetase (NRPS) gene clusters in the Bacillus subtilus genome. The approach was then used to identify PKS gene fragments in a strain of Sorangium cellulosum that produces epothilone. In addition to identifying fragments of the epothilone gene cluster, we obtained 11 unique fragments from other PKS gene clusters; the results suggest that there may be six to eight PKS gene clusters in this organism. In addition, we identified four unique fragments of NRPS genes, demonstrating that the approach is also applicable for identification of these modular gene clusters.     

Influence of temperature and soil water content on bacterial, archaeal and denitrifying microbial communities in drained fen grassland soil microcosms

In this study, microcosms were used to investigate the influence of temperature (4 and 28 degrees C) and water content (45% and 90% WHC) on microbial communities and activities in carbon-rich fen soil. Bacterial, archaeal and denitrifier community composition was assessed during incubation of microcosms for 12 weeks using terminal restriction fragment length polymorphism (T-RFLP) profiling of 16S rRNA and nitrous oxide reductase (nosZ) genes. In addition, microbial and denitrifier abundance, potential denitrification activity and production of greenhouse gases were measured. No detectable changes were observed in prokaryote or denitrifier abundance. In general, cumulatively after 12 weeks more carbon was respired at the higher temperature (3.7 mg CO(2) g(-1) soil), irrespective of the water content, whereas nitrous oxide production was greater under wet conditions (98-336 microg N(2)O g(-1) soil). After an initial lag phase, methane emissions (963 microg CH(4) g(-1) soil) were observed only under warm and wet conditions. T-RFLP analyses of bacterial 16S rRNA and nosZ genes revealed small or undetectable community changes in response to temperature and water content, suggesting that bacterial and denitrifying microbial communities are stable and do not respond significantly to seasonal changes in soil conditions. In contrast, archaeal microbial community structure was more dynamic and was strongly influenced by temperature.     

Diversity of 16S rRNA and dioxygenase genes detected in coal‐tar‐contaminated site undergoing active bioremediation

Aims: In order to develop effective bioremediation strategies for polyaromatic hydrocarbons (PAHs) degradation, the composition and metabolic potential of microbial communities need to be better understood, especially in highly PAH contaminated sites in which little information on the cultivation‐independent communities is available. Methods and Results: Coal‐tar‐contaminated soil was collected, which consisted of 122·5 mg g^?1 total extractable PAH compounds. Biodegradation studies with this soil indicated the presence of microbial community that is capable of degrading the model PAH compounds viz naphthalene, phenanthrene and pyrene at 50 ppm each. PCR clone libraries were established from the DNA of the coal‐tar‐contaminated soil, targeting the 16S rRNA to characterize (i) the microbial communities, (ii) partial gene fragment encoding the Rieske iron sulfur center (α‐subunit) common to all PAH dioxygenase enzymes and (iii) β‐subunit of dioxygenase. Phylotypes related to Proteobacteria (Alpha‐, Epsilon‐ and Gammaproteobacteria), Acidobacteria, Actinobacteria, Firmicutes, Gemmatimonadetes and Deinococci were detected in 16S rRNA derived clone libraries. Many of the gene fragment sequences of α‐subunit and β‐subunit of dioxygenase obtained from the respective clone libraries fell into clades that are distinct from the reference dioxygenase gene sequences. Presence of consensus sequence of the Rieske type [2Fe‐2S] cluster binding site suggested that these gene fragments encode for α‐subunit of dioxygenase gene. Conclusions: Sequencing of the cloned libraries representing α‐subunit gene fragments (Rf1) and β‐subunit of dioxygenase showed the presence of hitherto unidentified dioxygenase in coal‐tar‐contaminated soil. Significance and Impact of the Study: The combination of the Rieske primers and bacterial community profiling represents a powerful tool for both assessing bioremediation potential and the exploration of novel dioxygenase genes in a contaminated environment.     

Changes in Bacterial and Archaeal Community Structure and Functional Diversity along a Geochemically Variable Soil Profile

Spatial heterogeneity in physical, chemical, and biological properties of soils allows for the proliferation of diverse microbial communities. Factors influencing the structuring of microbial communities, including availability of nutrients and water, pH, and soil texture, can vary considerably with soil depth and within soil aggregates. Here we investigated changes in the microbial and functional communities within soil aggregates obtained along a soil profile spanning the surface, vadose zone, and saturated soil environments. The composition and diversity of microbial communities and specific functional groups involved in key pathways in the geochemical cycling of nitrogen, Fe, and sulfur were characterized using a coupled approach involving cultivation-independent analysis of both 16S rRNA (bacterial and archaeal) and functional genes (amoA and dsrAB) as well as cultivation-based analysis of Fe(III)-reducing organisms. Here we found that the microbial communities and putative ammonia-oxidizing and Fe(III)-reducing communities varied greatly along the soil profile, likely reflecting differences in carbon availability, water content, and pH. In particular, the Crenarchaeota 16S rRNA sequences are largely unique to each horizon, sharing a distribution and diversity similar to those of the putative (amoA-based) ammonia-oxidizing archaeal community. Anaerobic microenvironments within soil aggregates also appear to allow for both anaerobic- and aerobic-based metabolisms, further highlighting the complexity and spatial heterogeneity impacting microbial community structure and metabolic potential within soils.