Fluorescent-dye-conjugated oligonucleotides were used to classify 14 Fibrobacter strains by fluorescence microscopy. On the basis of partial 16S rRNA sequences of six Fibrobacter strains, four hybridization probes were designed to discriminate between the species Fibrobacter succinogenes and Fibrobacter intestinalis and to identify F. succinogenes subsp. succinogenes. After in situ hybridization to whole cells of the six sequenced strains, epifluorescence microscopy confirmed probe specificity. The four probes were then used to make presumptive species and subspecies assignments of eight additional Fibrobacter strains not previously characterized by comparative sequencing. These assignments were confirmed by comparative sequencing of the 16S rRNA target regions from the additional organisms. Single-mismatch discrimination between certain probe and nontarget sequences was demonstrated, and fluorescent intensity was shown to be enhanced by hybridization to multiple probes of the same specificity. The direct detection of F. intestinalis in mouse cecum samples demonstrated the application of this technique to the characterization of complex natural samples.

The potential to stimulate an indigenous microbial community to reduce a mixture of U(VI) and Tc(VII) in the presence of high (120 mM) initial NO3- co-contamination was evaluated in a shallow unconfined aquifer using a series of single-well, push-pull tests. In the absence of added electron donor, NO3-, Tc(VII), and U(VI) reduction was not detectable. However, in the presence of added ethanol, glucose, or acetate to serve as electron donor, rapid NO3- utilization was observed. The accumulation of NO2-, the absence of detectable NH4+ accumulation, and the production of N2O during in situ acetylene-block experiments suggest that NO3- was being consumed via denitrification. Tc(VII) reduction occurred concurrently with NO3- reduction, but U(VI) reduction was not observed until two or more donor additions resulted in iron-reducing conditions, as detected by the production of Fe(II). Reoxidation/remobilization of U(IV) was also observed in tests conducted with high (approximately 120 mM) but not low (approximately 1 mM) initial NO3- concentrations and not during acetylene-block experiments conducted with high initial NO3-. These results suggest that NO3(-)-dependent microbial U(IV) oxidation may inhibit or reverse U(VI) reduction and decrease the stability of U(IV) in this environment. Changes in viable biomass, community composition, metabolic status, and respiratory state of organisms harvested from down-well microbial samplers deployed during these tests were consistent with the conclusions that electron donor additions resulted in microbial growth, the creation of anaerobic conditions, and an increase in activity of metal-reducing organisms (e.g., Geobacter). The results demonstrate that it is possible to stimulate the simultaneous bioreduction of U(VI) and Tc(VII) mixtures commonly found with NO3- co-contamination at radioactive waste sites.

The dramatic decrease in solubility accompanying the reduction of U(VI) to U(IV), producing the insoluble mineral uraninite, has been viewed as a potential mechanism for sequestration of environmental uranium contamination. In the past 15 years, it has been firmly established that a variety of bacteria exhibit this reductive capacity. To obtain an understanding of the microbial metal metabolism, to develop a practical approach for the acceleration of in situ bioreduction, and to predict the long-term fate of environmental uranium, several aspects of the microbial process have been experimentally explored. This review briefly addresses the research to identify specific uranium reductases and their cellular location, competition between uranium and other electron acceptors, attempts to stimulate in situ reduction, and mechanisms of reoxidation of reduced uranium minerals.

The in-situ microbial reduction and immobilization of uranium was assessed as a means of preventing the migration of this element in the terrestrial subsurface. Uranium immobilization (putatively identified as reduction) and microbial respiratory activities were evaluated in the presence of exogenous electron donors and acceptors with field push-pull tests using wells installed in an anoxic aquifer contaminated with landfill leachate. Uranium(VI) amended at 1.5 microM was reduced to less than 1 nM in groundwater in less than 8 d during all field experiments. Amendments of 0.5 mM sulfate or 5 mM nitrate slowed U(VI) immobilization and allowed for the recovery of 10% and 54% of the injected element, respectively, as compared to 4% in the unamended treatment. Laboratory incubations confirmed the field tests and showed that the majority of the U(VI) immobilized was due to microbial reduction. In these tests, nitrate treatment (7.5 mM) inhibited U(VI) reduction, and nitrite was transiently produced. Further push-pull tests were performed in which either 1 or 5 mM nitrate was added with 1.0 uM U(VI) to sediments that already contained immobilized uranium. After an initial loss of the amendments, the concentration of soluble U(VI) increased and eventually exceeded the injected concentration, indicating that previously immobilized uranium was remobilized as nitrate was reduced. Laboratory experiments using heat-inactivated sediment slurries suggested that the intermediates of dissimilatory nitrate reduction (denitrification or dissimilatory nitrate reduction to ammonia), nitrite, nitrous oxide, and nitric oxide were all capable of oxidizing and mobilizing U(IV). These findings indicate that in-situ subsurface U(VI) immobilization can be expected to take place under anaerobic conditions, but the permanence of the approach can be impaired by disimilatory nitrate reduction intermediates that can mobilize previously reduced uranium.

Pyrosequencing-based 16S rRNA gene surveys are increasingly utilized to study highly diverse bacterial communities, with special emphasis on utilizing the large number of sequences obtained (tens to hundreds of thousands) for species richness estimation. However, it is not yet clear how the number of operational taxonomic units (OTUs) and, hence, species richness estimates determined using shorter fragments at different taxonomic cutoffs correlates with the number of OTUs assigned using longer, nearly complete 16S rRNA gene fragments. We constructed a 16S rRNA clone library from an undisturbed tallgrass prairie soil (1,132 clones) and used it to compare species richness estimates obtained using eight pyrosequencing candidate fragments (99 to 361 bp in length) and the nearly full-length fragment. Fragments encompassing the V1 and V2 (V1؉V2) region and the V6 region (generated using primer pairs 8F-338R and 967F-1046R) overestimated species richness; fragments encompassing the V3, V7, and V7؉V8 hypervariable regions (generated using primer pairs 338F-530R, 1046F-1220R, and 1046F-1392R) underestimated species richness; and fragments encompassing the V4, V5؉V6, and V6؉V7 regions (generated using primer pairs 530F-805R, 805F-1046R, and 967F-1220R) provided estimates comparable to those obtained with the nearly full-length fragment. These patterns were observed regardless of the alignment method utilized or the parameter used to gauge comparative levels of species richness (number of OTUs observed, slope of scatter plots of pairwise distance values for short and nearly complete fragments, and nonparametric and parametric species richness estimates). Similar results were obtained when analyzing three other datasets derived from soil, adult Zebrafish gut, and basaltic formations in the East Pacific Rise. Regression analysis indicated that these observed discrepancies in species richness estimates within various regions could readily be explained by the proportions of hypervariable, variable, and conserved base pairs within an examined fragment.Culture-independent 16S rRNA gene surveys are now routinely utilized to examine the microbial diversity in various environmental habitats. However, in surveys of highly diverse ecosystems, the size of clone libraries typically constructed (100 to 500 clones) allows for the identification only of members of the community that are present in high abundance (2,13,14,17,24,51). In addition to the failure to detect the rare members of the ecosystem, these relatively small datasets provide inaccurate estimates when used for computing species richness within an ecosystem. Regardless of the approach utilized to estimate species richness, the estimates obtained are highly dependent on sample size, and smaller datasets typically result in the underestimation of species richness (14,44,47,55).The use of a pyrosequencing-based approach (40) in 16S gene-based diversity surveys promises to overcome both of the above-mentioned problems associated with inadequate sampling. The large number of 16S...

The soil microbiome is responsible for mediating key ecological processes; however, little is known about its sensitivity to climate change. Observed increases in global temperatures and alteration to rainfall patterns, due to anthropogenic release of greenhouse gases, will likely have a strong influence on soil microbial communities and ultimately the ecosystem services they provide. Therefore, it is vital to understand how soil microbial communities will respond to future climate change scenarios. To this end, we surveyed the abundance, diversity and structure of microbial communities over a 2-year period from a long-term in situ warming experiment that experienced a moderate natural drought. We found the warming treatment and soil water budgets strongly influence bacterial population size and diversity. In normal precipitation years, the warming treatment significantly increased microbial population size 40-150% but decreased diversity and significantly changed the composition of the community when compared with the unwarmed controls. However during drought conditions, the warming treatment significantly reduced soil moisture thereby creating unfavorable growth conditions that led to a 50-80% reduction in the microbial population size when compared with the control. Warmed plots also saw an increase in species richness, diversity and evenness; however, community composition was unaffected suggesting that few phylotypes may be active under these stressful conditions. Our results indicate that under warmed conditions, ecosystem water budget regulates the abundance and diversity of microbial populations and that rainfall timing is critical at the onset of drought for sustaining microbial populations.

Small subunit (16S) rRNA gene surveys generating near full-length 16S rRNA clones offer a unique opportunity for in-depth phylogenetic analysis to highlight the breadth of diversity within various major bacterial phyla encountered in soil. This study offers a detailed phylogenetic analysis of the Proteobacteria-affiliated clones identified from 13 001 nearly full-length 16S rRNA gene clones derived from Oklahoma tall-grass prairie soil. Proteobacteria was the most abundant phylum in the community, and comprised 25% of the total clones. The most abundant and diverse class within the Proteobacteria was Alphaproteobacteria, followed by the Delta-, Beta-and Gammaproteobacteria. Members of the Epsilon-and Zetaproteobacteria were not detected in the dataset. Our analysis identified 15 novel order-level and 48 novel family-level Proteobacteria lineages. In addition, we show that the majority of Proteobacteria clones in the dataset belong to orders and families containing no described cultivated representatives (50% and 65%, respectively). An examination of the ecological distribution of the six most abundant Proteobacteria lineages in this dataset with no characterized pure culture representatives provided important information regarding their global distribution and environmental preferences. This level of novel phylogenetic diversity indicates that our understanding of the functions of soil microorganisms, even those belonging to phyla with numerous and diverse well-characterized cultured representatives such as the Proteobacteria, remains far from adequate.

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