Serial analysis of V6 ribosomal sequence tags (SARST-V6): a method for efficient, high-throughput analysis of microbial community composition

Serial analysis of ribosomal sequence tags (SARST) is a novel technique for characterizing microbial community composition. The SARST method captures sequence information from concatemers of short 16S rDNA polymerase chain reaction (PCR) amplicons from complex populations of DNA. Here, we describe a similar method, serial analysis of V6 ribosomal sequence tags (SARST-V6), which targets the V6 hypervariable region of bacterial 16S rRNA genes. The SARST-V6 technique exploits internal primer sequences to generate compatible restriction digest overhangs, thereby improving upon the efficiency of SARST. Serial analysis of V6 ribosomal sequence tags of bacterial community composition in hydrothermal marine sediments from Guaymas Basin resembled results of cloning and sequencing of single, full-length PCR products from ribosomal RNA genes of the same microbial community. Both methods identified the same major bacterial groups, but only SARST-V6 recovered thermodesulfobacteria and gamma-proteobacteria sequences, while only full-length PCR product cloning recovered candidate division OP11 se-quences. There were differences in the relative frequencies of some phylotypes. The disparities reflect differences in the amplicon pool obtained during initial amplification that may result from different primer affinities or DNA degradation. These results demonstrate the utility of SARST-V6 in collecting taxonomically informative data for high-throughput analysis of microbial communities.     

Extensive profiling of a complex microbial community by high-throughput sequencing

Complex microbial communities remain poorly characterized despite their ubiquity and importance to human and animal health, agriculture, and industry. Attempts to describe microbial communities by either traditional microbiological methods or molecular methods have been limited in both scale and precision. The availability of genomics technologies offers an unprecedented opportunity to conduct more comprehensive characterizations of microbial communities. Here we describe the application of an established molecular diagnostic method based on the chaperonin-60 sequence, in combination with high-throughput sequencing, to the profiling of a microbial community: the pig intestinal microbial community. Four libraries of cloned cpn60 sequences were generated by two genomic DNA extraction procedures in combination with two PCR protocols. A total of 1,125 cloned cpn60 sequences from the four libraries were sequenced. Among the 1,125 cloned cpn60 sequences, we identified 398 different nucleotide sequences encoding 280 unique peptide sequences. Pairwise comparisons of the 398 unique nucleotide sequences revealed a high degree of sequence diversity within the library. Identification of the likely taxonomic origins of cloned sequences ranged from imprecise, with clones assigned to a taxonomic subclass, to precise, for cloned sequences with 100% DNA sequence identity with a species in our reference database. The compositions of the four libraries were compared and differences related to library construction parameters were observed. Our results indicate that this method is an alternative to 16S rRNA sequence-based studies which can be scaled up for the purpose of performing a potentially comprehensive assessment of a given microbial community or for comparative studies.     

Single-stranded conformational polymorphism for separation of mixed rRNAS (rRNA-SSCP): a new method for profiling microbial communities

We show that non-denaturing gel electrophoresis, or single-stranded conformational polymorphism (SSCP), can be used to separate mixtures of full-length rRNAs. Individual bands can then be excised for identification by RT-PCR and sequencing. This has the advantage over profiling methods such as DGGE and T-RFLP that no PCR amplification is involved prior to sequencing; thus, extraction biases aside, it should yield a quantitative picture of community composition in terms of ribosome content. To simplify banding patterns, RNA subsamples (e.g. bacterial 16S rRNA) can first be isolated by magnetic bead capture hybridization. Alternatively, oligonucleotide-directed ribonuclease H (RNase H) digestion can be used to identify bands of interest by running digested samples in parallel to undigested ones. We illustrate the use of this technique to identify a potentially predominant species in a hypersaline microbial mat. We anticipate that rRNA-SSCP will be useful for community profiling; for clone library construction by directed cloning of individual rRNAs; and for following incorporation of radiolabeled substrates at the species level, by gel autoradiography, without advance information or guesswork about which species might be active and abundant.     

The use of accurate mass tags for high-throughput microbial proteomics

We describe and review progress towards a global strategy that aims to extend the sensitivity, dynamic range, comprehensiveness, and throughput of proteomic measurements for microbial systems based upon the use of polypeptide accurate mass tags (AMTs) produced by global protein enzymatic digestions. The two-stage strategy exploits high accuracy mass measurements using Fourier transform ion cyclotron resonance mass spectrometry (FTICR) to validate polypeptide AMTs for a specific organism, from potential mass tags tentatively identified using tandem mass spectrometry (MS/MS), providing the basis for subsequent measurements without the need for routine MS/MS. A high-resolution capillary liquid chromatography separation combined with high sensitivity, and high-resolution accurate FTICR measurements is shown to be capable of characterizing polypeptide mixtures of more than 10(5) components, sufficient for broad protein identification using AMTs. Advantages of the approach include the high confidence of protein identification, its broad proteome coverage, and the capability for stable-isotope labeling methods for precise relative protein abundance measurements. The strategy has been initially evaluated using the microorganisms Saccharomyces cerevisiae and Deinococcus radiodurans. Additional developments, including the use of multiplexed-MS/MS capabilities and methods for dynamic range expansion of proteome measurements that promise to further extend the quality of proteomics measurements, are also described.     

Upstream-independent ribosomal RNA amplification analysis (URA): a new approach to characterizing the diversity of natural microbial communities

Here, we propose an advanced method for recently developed fingerprinting strategies to analyse microbial populations by direct detection of 16S rRNA sequences occurring in natural habitats. The differential display (DD) technique, which is widely used to analyse for eukaryotic gene expression, was optimized to assess bacterial rRNA diversity in environmental samples. Double-stranded cDNAs of rRNAs were synthesized without a forward primer digested with endonuclease and ligated with a double-stranded adapter. The fragments obtained were then amplified using an adapter-specific extended primer and a 16S rDNA universal reverse primer pair displayed by electrophoresis on a polyacrylamide gel. We validated this approach by characterization of a microbial community colonizing a geothermal (48°C) vent system located close to the eruption zone of the south-east crater of the Mount Etna volcano, Sicily. Analysis of the patterns of abundant 16S rRNA revealed a considerable diversity of metabolically active bacteria phylogenetically clustering within the Crenarchaeota , Cyanobacteria , Firmicutes , Planctomycetales and Thermus divisions. Two sequence phylotypes were affiliated with uncultivated representatives of the recently described candidate division OP10 from a Yellowstone hot spring.     

Separation of bacterial cells by isoelectric focusing, a new method for analysis of complex microbial communities.

A simple isoelectric focusing (IEF) method for whole bacterial cells was developed. In a pH gradient of 2 to 10 and an electric field of 11.5 V cm-1, mixtures of cells from the three different bacterial strains Chlorobium limicola 6230, Pseudomonas stutzeri DSM 50227, and Micrococcus luteus DSM 20030 could be separated. A density gradient of Ficoll prevented convective currents in the system. The method was tested with a concentrated mixture of bacteria from a shallow eutrophic lake and yielded up to 10 different bands. Species composition in each IEF band was analyzed by PCR plus denaturing gradient gel electrophoresis (DGGE). Each IEF band exhibited a different species composition. After the separation of cells by IEF three times more 16S ribosomal DNA signals could be detected by DGGE than in the unfractionated natural bacterial community. It is concluded that the resolution of these molecular biological methods is significantly enhanced if cells are first separated by IEF. At the same time, the IEF fractions are enriched for certain species, which can be used in subsequent cultivation experiments.     

High-density PhyloChip profiling of stimulated aquifer microbial communities reveals a complex response to acetate amendment

There is increasing interest in harnessing the functional capacities of indigenous microbial communities to transform and remediate a wide range of environmental contaminants. Information about which community members respond to stimulation can guide the interpretation and development of remediation approaches. To comprehensively determine community membership and abundance patterns among a suite of samples associated with uranium bioremediation experiments, we employed a high-density microarray (PhyloChip). Samples were unstimulated, naturally reducing, or collected during Fe(III) (early) and sulfate reduction (late biostimulation) from an acetate re-amended/amended aquifer in Rifle, Colorado, and from laboratory experiments using field-collected materials. Deep community sampling with PhyloChip identified hundreds-to-thousands of operational taxonomic units (OTUs) present during amendment, and revealed close similarity among highly enriched taxa from drill core and groundwater well-deployed column sediment. Overall, phylogenetic data suggested that stimulated community membership was most affected by a carryover effect between annual stimulation events. Nevertheless, OTUs within the Fe(III)- and sulfate-reducing lineages, Desulfuromonadales and Desulfobacterales, were repeatedly stimulated. Less consistent, co-enriched taxa represented additional lineages associated with Fe(III) and sulfate reduction (e.g. Desulfovibrionales; Syntrophobacterales; Peptococcaceae) and autotrophic sulfur oxidation (Sulfurovum; Campylobacterales). Data implies complex membership among highly stimulated taxa and, by inference, biogeochemical responses to acetate, a nonfermentable substrate.     

Applications of functional gene microarrays for profiling microbial communities

Functional gene arrays (FGAs) have been considered as a specific, sensitive, quantitative, and high throughput metagenomic tool to detect, monitor and characterize microbial communities. Especially GeoChips, the most comprehensive FGAs have been applied to analyze the functional diversity, composition, structure, and metabolic potential or activity of a variety of microbial communities from different habitats, such as aquatic ecosystems, soils, contaminated sites, extreme environments, and bioreactors. FGAs are able to address fundamental questions related to global change, bioremediation, land use, human health, and ecological theories, and link the microbial community structure to environmental properties and ecosystem functioning. This review focuses on applications of FGA technology for profiling microbial communities, including target preparation, hybridization and data processing, and data analysis. We also discuss challenges and future directions of FGA applications.     

UniFrac: a new phylogenetic method for comparing microbial communities

We introduce here a new method for computing differences between microbial communities based on phylogenetic information. This method, UniFrac, measures the phylogenetic distance between sets of taxa in a phylogenetic tree as the fraction of the branch length of the tree that leads to descendants from either one environment or the other, but not both. UniFrac can be used to determine whether communities are significantly different, to compare many communities simultaneously using clustering and ordination techniques, and to measure the relative contributions of different factors, such as chemistry and geography, to similarities between samples. We demonstrate the utility of UniFrac by applying it to published 16S rRNA gene libraries from cultured isolates and environmental clones of bacteria in marine sediment, water, and ice. Our results reveal that (i) cultured isolates from ice, water, and sediment resemble each other and environmental clone sequences from sea ice, but not environmental clone sequences from sediment and water; (ii) the geographical location does not correlate strongly with bacterial community differences in ice and sediment from the Arctic and Antarctic; and (iii) bacterial communities differ between terrestrially impacted seawater (whether polar or temperate) and warm oligotrophic seawater, whereas those in individual seawater samples are not more similar to each other than to those in sediment or ice samples. These results illustrate that UniFrac provides a new way of characterizing microbial communities, using the wealth of environmental rRNA sequences, and allows quantitative insight into the factors that underlie the distribution of lineages among environments.     

Metabolic profiling as a means of characterizing plant-associated microbial communities

Abstract Microbial communities from leaf and root habitats associated with sugar beet ( Beta vulgaris ) were characterized according to their capacity to metabolize a range of 95 sole carbon sources available in a commercial assay, GN-BIOLOG MicroPlates. Metabolic profiling was assessed as a method for evaluating perturbation of microbial communities of glasshouse-grown sugar beet inoculated with a genetically modified microorganism. This technique has allowed microbial communities, colonising the immature leaves of treated and untreated plants to be differentiated, although no differences were observed when plants inoculated with genetically modified microorganisms and unmodified inoculated plants were compared. As plants developed and differentiated, the carbon utilization patterns observed allowed communities to be grouped according to the habitat from which they were isolated, irrespective of treatment. These studies demonstrate that the genetically modified microorganism, introduced as a seed dressing colonised developing immature tissue throughout the 231-day study but did not disrupt the natural succession of microbial communities in glasshouse-grown sugar beet plants.     

BIPES,a cost-effective high-throughput method for assessing microbial diversity

Pyrosequencing of 16S rRNA (16S) variable tags has become the most popular method for assessing microbial diversity, but the method remains costly for the evaluation of large numbers of environmental samples with high sequencing depths. We developed a barcoded Illumina paired-end (PE) sequencing (BIPES) method that sequences each 16S V6 tag from both ends on the Illumina HiSeq 2000, and the PE reads are then overlapped to obtain the V6 tag. The average accuracy of Illumina single-end (SE) reads was only 97.9%, which decreased from ∼99.9% at the start of the read to less than 85% at the end of the read; nevertheless, overlapping of the PE reads significantly increased the sequencing accuracy to 99.65% by verifying the 3′ end of each SE in which the sequencing quality was degraded. After the removal of tags with two or more mismatches within the medial 40–70 bases of the reads and of tags with any primer errors, the overall base sequencing accuracy of the BIPES reads was further increased to 99.93%. The BIPES reads reflected the amounts of the various tags in the initial template, but long tags and high GC tags were underestimated. The BIPES method yields 20–50 times more 16S V6 tags than does pyrosequencing in a single-flow cell run, and each of the BIPES reads costs less than 1/40 of a pyrosequencing read. As a laborsaving and cost-effective method, BIPES can be routinely used to analyze the microbial ecology of both environmental and human microbiomes.     

Minireactor-based high-throughput temperature profiling for the optimization of microbial and enzymatic processes

Background

Bioprocesses depend on a number of different operating parameters and temperature is one of the most important ones. Unfortunately, systems for rapid determination of temperature dependent reaction kinetics are rare. Obviously, there is a need for a high-throughput screening procedure of temperature dependent process behavior. Even though, well equipped micro-bioreactors are a promising approach sufficient temperature control is quite challenging and rather complex.

Results

In this work a unique system is presented combining an optical on-line monitoring device with a customized temperature control unit for 96 well microtiter plates. By exposing microtiter plates to specific temperature profiles, high-throughput temperature optimization for microbial and enzymatic systems in a micro-scale of 200 μL is realized. For single well resolved temperature measurement fluorescence thermometry was used, combining the fluorescent dyes Rhodamin B and Rhodamin 110. The real time monitoring of the microbial and enzymatic reactions provides extensive data output. To evaluate this novel system the temperature optima for Escherichia coli and Kluyveromyces lactis regarding growth and recombinant protein production were determined. Furthermore, the commercial cellulase mixture Celluclast as a representative for enzymes was investigated applying a fluorescent activity assay.

Conclusion

Microtiter plate-based high-throughput temperature profiling is a convenient tool for characterizing temperature dependent reaction processes. It allows the evaluation of numerous conditions, e.g. microorganisms, enzymes, media, and others, in a short time. The simple temperature control combined with a commercial on-line monitoring device makes it a user friendly system.

     

A high-throughput method for microbial metabolome analysis using gas chromatography/mass spectrometry

An analytical high-throughput method based on gas chromatography/mass spectrometry (GC/MS) was developed for fast metabolome investigation. By parallelization and partial automation the time needed for the preanalytical steps could be reduced. In addition a strong decrease of the relative standard deviation of metabolite concentrations from independent samples on the same microtiter plate from 25 to 13% was achieved. Between different plates the relative standard deviation is comparable to the one observed in standard experiments with shaking flasks. Using a fast GC the time need for the full GC/MS-based metabolome analysis could be decreased from 60 to 18 min per run, allowing the measurement of 72 single samples per day and GC/MS machine. In samples of the model organism Corynebacterium glutamicum more than 1000 peaks in the total ion current could be detected in a single fast GC/MS run of which 650 were strong enough to be quantified. Approximately 150 compounds of these were identified using our metabolite MS-library. Correlation analysis of the concentration vectors of independent wild-type samples raised under the same conditions show very high correlations of 0.99+/-0.01 (logs). In conclusion this method allows screenings of large mutant libraries for genetically induced metabolic perturbations.     

Tandem arrayed ligation of expressed sequence tags (TALEST): a new method for generating global gene expression profiles.

We have developed a new and simple method for quantitatively analyzing global gene expression profiles from cells or tissues. The process, called TALEST, or tandem arrayed ligation of expressed sequence tags, employs an oligonucleotide adapter containing a type IIs restriction enzyme site to facilitate the generation of short (16 bp) ESTs of fixed position in the mRNA. These ESTs are flanked by GC-clamped punctuation sequences which render them resistant to thermal denaturation, allowing their concatenation into long arrays and subsequent recognition and analysis by high-throughput DNA sequencing. A major advantage of the TALEST technique is the avoidance of PCR in all stages of the process and hence the attendant sequence-specific amplification biases that are inherent in other gene expression profiling methods such as SAGE, Differential Display, AFLP, etc. which rely on PCR.