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Understanding the ecological principles underlying the structure and function of microbial communities remains an important goal for microbial ecology. We examined two biogeochemically important taxa, the sulfate-reducing bacterial genus, Desulfobulbus, and the methanogenic archaeal genus, Methanosaeta, to compare and contrast niche partitioning by these two taxa that are ecologically linked as anaerobic terminal oxidizers of organic material. An observational approach utilizing functional gene pyrosequencing was combined with a community-based reciprocal incubation experiment and characterization of a novel Desulfobulbus isolate. To analyze the pyrosequencing data, we constructed a data analysis pipeline, which we validated with several control data sets. For both taxa, particular genotypes were clearly associated with certain portions of an estuarine gradient, consistent with habitat or niche partitioning. Methanosaeta genotypes were generally divided between those found almost exclusively in the marine habitat (∼30% of operational taxonomic units (OTUs)), and those which were ubiquitously distributed across all or most of the estuary (∼70% of OTUs). In contrast to this relatively monotonic distribution, for Desulfobulbus, there were many more genotypes, and their distributions represented a wide range of inferred niche widths from specialist genotypes found only at a single site, to ubiquitous or generalist genotypes found in all 10 sites examined along the full estuarine gradient. Incubation experiments clearly showed that, for both taxa, communities from opposite ends of the estuary did not come to resemble one another, regardless of the chemical environment. Growth of a Desulfobulbus isolated into pure culture indicated that the potential niche of this organism is significantly larger than the realized niche. We concluded that niche partitioning can be an important force structuring microbial populations, with biotic and abiotic components having very different effects depending on the physiology and ecology of each taxon.

We report the first study of the bacterial microbiome of ovine interdigital skin based on 16S rRNA by pyrosequencing and conventional cloning with Sanger-sequencing. Three flocks were selected, one a flock with no signs of footrot or interdigital dermatitis, a second flock with interdigital dermatitis alone and a third flock with both interdigital dermatitis and footrot. The sheep were classified as having either healthy interdigital skin (H) and interdigital dermatitis (ID) or virulent footrot (VFR). The ovine interdigital skin bacterial community varied significantly by flock and clinical condition. The diversity and richness of operational taxonomic units was greater in tissue from sheep with ID than H or VFR-affected sheep. Actinobacteria, Bacteriodetes, Firmicutes and Proteobacteria were the most abundant phyla comprising 25 genera. Peptostreptococcus, Corynebacterium and Staphylococcus were associated with H, ID and VFR, respectively. Sequences of Dichelobacter nodosus, the causal agent of ovine footrot, were not amplified because of mismatches in the 16S rRNA universal forward primer (27F). A specific real-time PCR assay was used to demonstrate the presence of D. nodosus, which was detected in all samples including the flock with no signs of ID or VFR. Sheep with ID had significantly higher numbers of D. nodosus (10(4)-10(9) cells per g tissue) than those with H or VFR feet.

Using multiple lines of evidence from denaturing gradient gel electrophoresis, environmental sequences and TaqMan quantitative PCR assays targeting a functional gene for sulfate respiration (dsr) affiliated with the geochemically important genus Desulfobulbus, we revealed strongly restricted distributions of specific genotypes and populations correlated with sampling position along an estuarine gradient free of dispersal barriers. Evidence of evolutionary divergence of populations was provided by three complementary analyses. First, analysis of molecular variance rejected the null hypothesis that genetic diversity within each sampling site was not significantly different than that of all sites pooled together (P<0.0001). Second, UniFrac and Parsimony tests showed phylogenetic clustering of sampling sites was highly significant (P<0.001). Third, pairwise F(ST) statistics showed significant evolutionary divergence of populations based on the location in the estuary. To test the hypothesis that environmental niche-driven evolutionary divergence can create and maintain microbial biogeography, we used both statistical inference and an experimental manipulation to assess the independent effects of environment and geography. Significant effects of each on genotype distributions and population divergence supported the hypothesis. Our data are consistent with both sympatric and parapatric models of speciation, and suggest niche partitioning can contribute to evolutionary divergence and observable biogeographic patterns in microbial communities even among closely related taxa at limited spatial scales without significant barriers to dispersal.