Use of 16S rDNA clone libraries to study changes in a microbial community resulting from ex situ perturbation of a subsurface sediment

Sustaining Rice Production through Biofertilization with N2-Fixing Cyanobacteria

Current agricultural productivity depends on an exogenous nutrient supply to crops. This is of special relevance in cereal production, a fundamental part of the trophic chain that plays a vital role in the human diet. However, our agricultural practices entail highly detrimental side-effects from an environmental point of view. Long-term nitrogen fertilization in croplands results in degradation of soil, water, and air quality, producing eutrophication and subsequently contributing to global warming. In accordance with this, there is a biotechnological interest in using nitrogen-fixing microorganisms to enhance crop growth without adding chemically synthesized nitrogen fertilizers. This is particularly beneficial in paddy fields, where about 60% of the synthetic fertilizer that has been applied is dissolved in the water and washed away. In these agricultural systems, N2-fixing cyanobacteria show a promising biotechnological potential as biofertilizers, improving soil fertility while reducing the environmental impact of the agricultural practice. In the current study, Andalusian paddy fields have been explored to isolate N2-fixing cyanobacteria. These endogenous microorganisms have been subsequently re-introduced in a field trial in order to enhance rice production. Our results provide valuable insights regarding the use of an alternative natural source of nitrogen for rice production.

Phytoplankton and Bacterial Community Structure in Two Chinese Lakes of Different Trophic Status

Phytoplankton are the primary producers at the basis of aquatic food webs, and bacteria play an important role in energy flow and biochemical cycling in aquatic ecosystems. In this study, both the bacterial and phytoplankton communities were examined in the oligotrophic Lake Basomtso and the eutrophic Lake South (China). The results of this study showed that the phytoplankton density and diversity in the eutrophic lake were higher than those in the oligotrophic lake. Furthermore, Chlorophyta (68%) and Cryptophyta (24%) were the dominant groups in the eutrophic lake, while Bacillariophyta (95%) dominated in the oligotrophic lake. The bacterial communities in the waters and sediments of the two lakes were mainly composed of Proteobacteria (mean of 32%), Actinobacteria (mean of 25%), Bacteroidetes (mean of 12%), and Chloroflexi (mean of 6%). Comparative analysis showed that the abundance of bacteria in the eutrophic lake was higher than that in the oligotrophic lake (p < 0.05), but the bacterial diversity in the oligotrophic lake was higher than that in the eutrophic lake (p < 0.05). Finally, the bacterial abundance and diversity in the sediments of the two lakes were higher than those in the water samples (p < 0.05), and the Latescibacteria and Nitrospinae groups were identified only in the sediments. These results suggest that both the phytoplankton and bacterial communities differed considerably between the oligotrophic lake and the eutrophic lake.

Contamination Control for Scientific Drilling Operations

Drilling is an integral part of subsurface exploration. Because almost all drilling operations require the use of a drill fluid, contamination by infiltration of drill fluid into the recovered core material cannot be avoided. Because it is impossible to maintain sterile conditions during drilling the drill fluid will contain surface microbes and other contaminants. As contamination cannot be avoided, it has to be tracked to identify those parts of the drill core that were not infiltrated by the drill fluid. This is done by the addition of tracer compounds. A great variety of tracers is available, and the choice depends on many factors. This review will first explain the basic principles of drilling before presenting the most common tracers and discussing their strengths and weaknesses. The final part of this review presents a number of key questions that have to be addressed in order to find the right tracer for a particular drilling operation.

Bacterioplankton community diversity in a maritime Antarctic lake, determined by culture-dependent and culture-independent techniques

Abstract The biodiversity of the pelagic bacterioplankton community of a maritime Antarctic freshwater lake was examined by cultivation-dependent and cultivation-independent techniques to determine predominant bacterioplankton populations present. The culture-dependent techniques used were direct culture and observation, polymerase chain reaction amplification of 16S rRNA gene fragments, restriction fragment length polymorphism (RFLP) analysis followed by selective sequencing and fatty acid methyl ester analysis. The culture-independent techniques used were 16S ribosomal DNA gene cloning, RFLP analysis and sequencing, in situ hybridisation with group-specific, fluorescently labelled oligonucleotide probes and cloning and sequencing of dominant denaturing gradient gel electrophoresis products. Significant differences occurred between the results obtained with each method. However, sufficient overlap existed between the different methods to identify potentially significant groups. At least six different bacterial divisions including 24 genera were identified using culture-dependent techniques, and eight different bacterial divisions, including 23 genera, were identified using culture-independent techniques. Only five genera, Corynebacterium, Cytophaga, Flavobacterium, Janthinobacterium and Pseudomonas, could be identified using both sets of techniques, which represented four different bacterial divisions. Significantly for Antarctic freshwater lakes, pigment production is found within members of each of these genera. This work illustrates the importance of a comprehensive polyphasic approach in the analysis of lake bacterioplankton, and supports the ecological relevance of results obtained in earlier entirely culture-based studies.

Effects of short solids retention time on microbial community in a membrane bioreactor

Effects of operating lab-scale nitrifying membrane bioreactors (MBR) at short solids retention times (SRT=3, 5 and 10d) were presented with focus on reactor performance and microbial community composition. The process was capable of achieving over 87% removal of ammonia and 95% removal of chemical oxygen demand (COD), almost regardless of SRT. The denaturing gradient gel electrophoresis (DGGE) analysis shown that bacterial communities evolved in time in a similar way at different SRT. The results of clone library analysis indicated that Betaproteobacteria was the dominant bacterial group in all the reactors but there were significant difference of species for different SRT with higher species diversity at longer SRT. Ammonia and COD removal efficiencies were not correlated with the number of bacterial species or their diversity.

Impact of flooding on soil bacterial communities associated with poplar (Populus sp.) trees

Soil bacterial communities were analyzed in different habitats (bulk soil, rhizosphere, rhizoplane) of poplar tree microcosms (Populus tremulaxP. alba) using cultivation-independent methods. The roots of poplar trees regularly experience flooded and anoxic conditions. Therefore, we also determined the effect of flooding on microbial communities in microcosm experiments. Total community DNA was extracted and bacterial 16S rRNA genes were amplified by PCR and analyzed by terminal restriction fragment length polymorphism (T-RFLP) analysis, cloning and sequencing. Clone libraries were created from all three habitats under both unflooded and flooded conditions resulting in a total of 281 sequences. Numbers of different sequences (<97% similarity) in the different habitats represented 16-55% of total bacterial species richness determined from the nonparametric richness estimator Chao1. According to the number of different terminal restriction fragments (T-RFs), all of the different habitats contained approximately 20 different operational taxonomic units (OTUs), except the flooded rhizoplane habitat whose community contained less OTUs. Results of cloning and T-RFLP analysis generally supported each other. Correspondence analysis of T-RFLP patterns showed that the bacterial communities were different in bulk soil, rhizosphere and rhizoplane and changed upon flooding. For example OTUs representing Bacillus sp. were highest in the unflooded bulk soil and rhizosphere. Sequences related to Aquaspirillum, in contrast, were predominant on the poplar roots and in the rhizosphere of flooded microcosms but were rarely found in the other habitats.

Comparison of subsurface and surface soil bacterial communities in California grassland as assessed by terminal restriction fragment length polymorphisms of PCR-amplified 16S rRNA genes

The integrated biomass beneath the surface horizon in unsaturated soils is large and potentially important in nutrient and carbon cycling. Compared to surface soils, the ecology of these subsurface soils is weakly understood, particularly in terms of the composition of bacterial communities. We compared soil bacterial communities along two vertical transects by terminal restriction fragment length polymorphisms (TRFLPs) of PCR-amplified 16S rRNA genes to determine how surface and deep bacterial communities differ. DNA yield from soils collected from two Mediterranean grassland transects decreased exponentially from the surface to 4 m deep. Richness, as assessed by the number of peaks obtained after restriction with HhaI, MspI, RsaI, or HaeIII, and diversity, as assessed by the Shannon diversity indices, were lowest in the deepest sample. Lower diversity at depth is consistent with species-energy theory, which would predict relatively low diversity in the low organic matter horizons. Principal components analysis suggested that, in terms of HhaI and HaeIII generated TRFLPs, bacterial communities differed between depths. The most abundant amplicons cloned from the deepest sample contained sequences with restriction sites consistent with the largest peaks observed in TRFLPs generated from deep samples. These more abundant operational taxonomic units (OTUs) appeared related to Pseudomonas and Variovorax. Several OTUs were more related to each other than any previously described ribotypes. These OTUs showed similarity to bacteria from the divisions Actinobacteria and Firmicutes.

Molecular characterisation of bacteria in a wetland used to remove ammoniacal-N from landfill leachate

Bacteria associated with leachate from a constructed, surface-flow wetland effective at removing ammonium-N, were characterised using molecular methods which bypass the need for cultivation. DNA was extracted from the sample and bacterial 16S rDNA sequences amplified and cloned. Ninety-six individual clones were re-amplified and analysed by restriction digestion and targeted sequencing. A collector's curve was used to estimate the total number of bacterial groups (operational taxonomic units, OTUs) in the sample at 47. Thirty-six clones representing 28 OTUs were sequenced and characterised by aligning them against published sequences. Of these, 10 were confidently identified, whilst for the remaining 18, the closest match was obtained. The sequences in 64% of the OTUs were similar to those of the Proteobacteria but no classical nitrifying bacteria were identified. However, alkaliphilic Methylomicrobium sp. that oxidise ammonium and bacteria from the genus Alcaligenes, at least one species of which is capable of heterotrophic nitrification, were detected.

Affinity purification of DNA and RNA from environmental samples with peptide nucleic acid clamps

Bispeptide nucleic acids (bis-PNAs; PNA clamps), PNA oligomers, and DNA oligonucleotides were evaluated as affinity purification reagents for subfemtomolar 16S ribosomal DNA (rDNA) and rRNA targets in soil, sediment, and industrial air filter nucleic acid extracts. Under low-salt hybridization conditions (10 mM NaPO(4), 5 mM disodium EDTA, and 0.025% sodium dodecyl sulfate [SDS]) a PNA clamp recovered significantly more target DNA than either PNA or DNA oligomers. The efficacy of PNA clamps and oligomers was generally enhanced in the presence of excess nontarget DNA and in a low-salt extraction-hybridization buffer. Under high-salt conditions (200 mM NaPO(4), 100 mM disodium EDTA, and 0.5% SDS), however, capture efficiencies with the DNA oligomer were significantly greater than with the PNA clamp and PNA oligomer. Recovery and detection efficiencies for target DNA concentrations of > or =100 pg were generally >20% but depended upon the specific probe, solution background, and salt condition. The DNA probe had a lower absolute detection limit of 100 fg of target (830 zM [1 zM = 10(-21) M]) in high-salt buffer. In the absence of exogenous DNA (e.g., soil background), neither the bis-PNA nor the PNA oligomer achieved the same absolute detection limit even under a more favorable low-salt hybridization condition. In the presence of a soil background, however, both PNA probes provided more sensitive absolute purification and detection (830 zM) than the DNA oligomer. In varied environmental samples, the rank order for capture probe performance in high-salt buffer was DNA > PNA > clamp. Recovery of 16S rRNA from environmental samples mirrored quantitative results for DNA target recovery, with the DNA oligomer generating more positive results than either the bis-PNA or PNA oligomer, but PNA probes provided a greater incidence of detection from environmental samples that also contained a higher concentration of nontarget DNA and RNA. Significant interactions between probe type and environmental sample indicate that the most efficacious capture system depends upon the particular sample type (and background nucleic acid concentration), target (DNA or RNA), and detection objective.

Application of neural computing methods for interpreting phospholipid fatty acid profiles of natural microbial communities

The microbial community compositions of surface and subsurface marine sediments and sediments lining burrows of marine polychaetes and hemichordates from the North Inlet estuary (near Georgetown, S.C. ) were analyzed by comparing ester-linked phospholipid fatty acid (PLFA) profiles with a back-propagating neural network (NN). The NNs were trained to relate PLFA inputs to sediment type outputs (e.g., surface, subsurface, and burrow lining) and worm species (e.g., Notomastus lobatus, Balanoglossus aurantiacus, and Branchyoasychus americana). Sensitivity analysis was used to determine which of the 60 PLFAs significantly contributed to training the NN. The NN architecture was optimized by changing the number of hidden neurons and calculating the cross-validation error between predicted and actual outputs of training and test data. The optimal NN architecture was found to be four hidden neurons with 60-input neurons representing the 60 PLFAs, and four output neurons coding for both sediment types and worm species. Comparison of cross-validation results using NNs and linear discriminant analysis (LDA) revealed that NNs had significantly fewer incorrect classifications (2.7%) than LDA (8.4%). For the NN cross-validation, both sediment type and worm species had 3 incorrect classifications out of 112. For the LDA cross-validation, sediment type and worm species had 7 and 12 incorrect classifications out of 112, respectively. Sensitivity analysis of the trained NNs revealed that 17 fatty acids explained 50% of variability in the data set. These PLFAs were highly different among sediments and burrow types, indicating significant differences in the microbiota.