Quantitative Analysis of Small-Subunit rRNA Genes in Mixed Microbial Populations via 5′-Nuclease Assays

Few techniques are currently available for quantifying specific prokaryotic taxa in environmental samples. Quantification of specific genotypes has relied mainly on oligonucleotide hybridization to extracted rRNA or intact rRNA in whole cells. However, low abundance and cellular rRNA content limit the application of these techniques in aquatic environments. In this study, we applied a newly developed quantitative PCR assay (5′-nuclease assay, also known as TaqMan) to quantify specific small-subunit (SSU) rRNA genes (rDNAs) from uncultivated planktonic prokaryotes in Monterey Bay. Primer and probe combinations for quantification of SSU rDNAs at the domain and group levels were developed and tested for specificity and quantitative reliability. We examined the spatial and temporal variations of SSU rDNAs from Synechococcus plus Prochlorococcus and marine Archaea and compared the results of the quantitative PCR assays to those obtained by alternative methods. The 5′-nuclease assays reliably quantified rDNAs over at least 4 orders of magnitude and accurately measured the proportions of genes in artificial mixtures. The spatial and temporal distributions of planktonic microbial groups measured by the 5′-nuclease assays were similar to the distributions estimated by quantitative oligonucleotide probe hybridization, whole-cell hybridization assays, and flow cytometry.     

Multivariate Extensions of the Mixed Model for Quantitative Traits

The mixed model for complex segregation analysis of quantitative data from three-generational nuclear families is extended to the multivariate case. Likelihood functions for hypothesis testing are derived for two types of conditional analysis of multiple traits: first when entry to the study depends on the index case's values of all the quantitative traits that are of interest, and second when entry depends on only one trait, but other correlated traits are to be studied simultaneously. Using direct products of covariance matrices, these functions are seen to be direct multivariate equivalence of the univariate functions.     

New Methods for Analysis of Spatial Distribution and Coaggregation of Microbial Populations in Complex Biofilms

In biofilms, microbial activities form gradients of substrates and electron acceptors, creating a complex landscape of microhabitats, often resulting in structured localization of the microbial populations present. To understand the dynamic interplay between and within these populations, quantitative measurements and statistical analysis of their localization patterns within the biofilms are necessary, and adequate automated tools for such analyses are needed. We have designed and applied new methods for fluorescence in situ hybridization (FISH) and digital image analysis of directionally dependent (anisotropic) multispecies biofilms. A sequential-FISH approach allowed multiple populations to be detected in a biofilm sample. This was combined with an automated tool for vertical-distribution analysis by generating in silico biofilm slices and the recently developed Inflate algorithm for coaggregation analysis of microbial populations in anisotropic biofilms. As a proof of principle, we show distinct stratification patterns of the ammonia oxidizers Nitrosomonas oligotropha subclusters I and II and the nitrite oxidizer Nitrospira sublineage I in three different types of wastewater biofilms, suggesting niche differentiation between the N. oligotropha subclusters, which could explain their coexistence in the same biofilms. Coaggregation analysis showed that N. oligotropha subcluster II aggregated closer to Nitrospira than did N. oligotropha subcluster I in a pilot plant nitrifying trickling filter (NTF) and a moving-bed biofilm reactor (MBBR), but not in a full-scale NTF, indicating important ecophysiological differences between these phylogenetically closely related subclusters. By using high-resolution quantitative methods applicable to any multispecies biofilm in general, the ecological interactions of these complex ecosystems can be understood in more detail.     

Mechanisms of DNA Utilization by Estuarine Microbial Populations

The mechanisms of utilization of DNA by estuarine microbial populations were investigated by competition experiments and DNA uptake studies. Deoxyribonucleoside monophosphates, thymidine, thymine, and RNA all competed with the uptake of radioactivity from [³H]DNA in 4-h incubations. In 15-min incubations, deoxyribonucleoside monophosphates had no effect or stimulated [³H]DNA binding, depending on the concentration. The uptake of radioactivity from [³H]DNA resulted in little accumulation of trichloroacetic acid-soluble intracellular radioactivity and was inhibited by the DNA synthesis inhibitor novobiocin. Molecular fractionation studies indicated that some radioactivity from [³H]DNA appeared in the RNA (10 and 30% at 4 and 24 h, respectively) and protein (approximately 3%) fractions. The ability of estuarine microbial assemblages to transport gene sequences was investigated by plasmid uptake studies, followed by molecular probing. Although plasmid DNA was detected on filters after filtration of plasmid-amended incubations, DNase treatment of filters removed this DNA, indicating that there was little transport of intact gene sequences. These observations led to the following model for DNA utilization by estuarine microbial populations. (i) DNA is rapidly bound to the cell surface and (ii) hydrolyzed by cell-associated and extracellular nonspecific nucleases. (iii) DNA hydrolysis products are transported, and (iv) the products are rapidly salvaged into nucleic acids, with little accumulation into intracellular nucleotide pools.     

Microbial Analysis of Bite Marks by Sequence Comparison of Streptococcal DNA

Bite mark injuries often feature in violent crimes. Conventional morphometric methods for the forensic analysis of bite marks involve elements of subjective interpretation that threaten the credibility of this field. Human DNA recovered from bite marks has the highest evidentiary value, however recovery can be compromised by salivary components. This study assessed the feasibility of matching bacterial DNA sequences amplified from experimental bite marks to those obtained from the teeth responsible, with the aim of evaluating the capability of three genomic regions of streptococcal DNA to discriminate between participant samples. Bite mark and teeth swabs were collected from 16 participants. Bacterial DNA was extracted to provide the template for PCR primers specific for streptococcal 16S ribosomal RNA (16S rRNA) gene, 16S–23S intergenic spacer (ITS) and RNA polymerase beta subunit (rpoB). High throughput sequencing (GS FLX 454), followed by stringent quality filtering, generated reads from bite marks for comparison to those generated from teeth samples. For all three regions, the greatest overlaps of identical reads were between bite mark samples and the corresponding teeth samples. The average proportions of reads identical between bite mark and corresponding teeth samples were 0.31, 0.41 and 0.31, and for non-corresponding samples were 0.11, 0.20 and 0.016, for 16S rRNA, ITS and rpoB, respectively. The probabilities of correctly distinguishing matching and non-matching teeth samples were 0.92 for ITS, 0.99 for 16S rRNA and 1.0 for rpoB. These findings strongly support the tenet that bacterial DNA amplified from bite marks and teeth can provide corroborating information in the identification of assailants.     

Novel Microbial Populations in Ambient and Mesophilic Biogas-Producing and Phenol-Degrading Consortia Unraveled by High-Throughput Sequencing

Methanogenesis from wastewater-borne organics and organic solid wastes (e.g., food residues) can be severely suppressed by the presence of toxic phenols. In this work, ambient (20 °C) and mesophilic (37 °C) methane-producing and phenol-degrading consortia were enriched and characterized using high-throughput sequencing (HTS). 454 Pyrosequencing indicated novel W22 (25.0 % of bacterial sequences) in the WWE1 and Sulfurovum-resembled species (32.0 %) in the family Campylobacterales were the most abundant in mesophilic and ambient reactors, respectively, which challenges previous knowledge that Syntrophorhabdus was the most predominant. Previous findings may underestimate bacterial diversity and low-abundance bacteria, but overestimate abundance of Syntrophorhabdus. Illumina HTS revealed that archaeal populations were doubled in ambient reactor and tripled in mesophilic reactor, respectively, compared to the ～4.9 % (of the bacteria and archaea sequences) in the seed sludge. Moreover, unlike the dominance of Methanosarcina in seed sludge, acetotrophic Methanosaeta predominated both (71.4–76.5 % of archaeal sequences) ambient and mesophilic enrichments. Noteworthy, this study, for the first time, discovered the co-occurrence of green sulfur bacteria Chlorobia, sulfur-reducing Desulfovibrio, and Sulfurovum-resembling species under ambient condition, which could presumably establish mutualistic relationships to compete with syntrophic bacteria and methanogens, leading to the deterioration of methanogenic activity. Taken together, this HTS-based study unravels the high microbial diversity and complicated bacterial interactions within the biogas-producing and phenol-degrading bioreactors, and the identification of novel bacterial species and dominant methanogens involved in the phenol degradation provides novel insights into the operation of full-scale bioreactors for maximizing biogas generation.     

Multivariate Optimization of Polymerase Chain Reaction for Microbial Community Analysis

A multivariate regression, partial least square (PLS) approach was used to optimize a polymerase chain reaction (PCR) method for mixed communities. This approach, in contrast to univariate ones, provided information on the relative influence of the different factors to be optimized, as well as the interactions between factors. Models that predicted the outcome of further optimization were constructed from the initial experiments and verified experimentally. The models constructed were able to predict the outcome of a second set of experiments with high accuracy. PCR-amplification of DNA from environmental samples is often the first step in microbial community fingerprinting. Inhibitors and low cell numbers in the samples can cause problems with yield, for which compensation is normally made by increasing the number of cycles in the PCR-amplification reaction. Increasing the number of cycles, however, can cause other problems such as heteroduplex formation and increased bias. To avoid these problems the effects of different times of denaturing, annealing, and extension on yield were investigated for 2 different samples, one that consisted of a mixture of 9 laboratory strains, and one that represented the microbial community from the surface of the red alga Delisea pulchra. The multivariate approach showed, in addition to the successful optimization of yield, that the different factors affected the PCR depending on sample type. Annealing time had the largest effect on yield for the mixture of laboratory strains, whereas extension time was most important for the D. pulchra community. We suggest that multivariate optimization is a useful tool for PCR optimization and can be used irrespectively of the particular factors that are being investigated.     

High-Throughput Analysis of T-DNA Location and Structure Using Sequence Capture

Agrobacterium-mediated transformation of plants with T-DNA is used both to introduce transgenes and for mutagenesis. Conventional approaches used to identify the genomic location and the structure of the inserted T-DNA are laborious and high-throughput methods using next-generation sequencing are being developed to address these problems. Here, we present a cost-effective approach that uses sequence capture targeted to the T-DNA borders to select genomic DNA fragments containing T-DNA—genome junctions, followed by Illumina sequencing to determine the location and junction structure of T-DNA insertions. Multiple probes can be mixed so that transgenic lines transformed with different T-DNA types can be processed simultaneously, using a simple, index-based pooling approach. We also developed a simple bioinformatic tool to find sequence read pairs that span the junction between the genome and T-DNA or any foreign DNA. We analyzed 29 transgenic lines of Arabidopsis thaliana, each containing inserts from 4 different T-DNA vectors. We determined the location of T-DNA insertions in 22 lines, 4 of which carried multiple insertion sites. Additionally, our analysis uncovered a high frequency of unconventional and complex T-DNA insertions, highlighting the needs for high-throughput methods for T-DNA localization and structural characterization. Transgene insertion events have to be fully characterized prior to use as commercial products. Our method greatly facilitates the first step of this characterization of transgenic plants by providing an efficient screen for the selection of promising lines.     

Large-Scale,Quantitative Protein Assays on a High-Throughput DNA Sequencing Chip

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Ability of pH-Selected Mixed Ruminal Microbial Populations to Digest Fiber at Various pHs

Inocula from pH 5.5-selected rumen microorganisms failed to digest fiber any better in batch culture at pH 5.0 or 5.5 than did inocula from pH 6.5-selected organisms. Furthermore, upon extended batch incubation, both the viable cellulolytic and amylolytic bacteria became increasingly associated with the fiber portion and less with the liquid portion of the cultures.     

An Enzymatic Assay for High-Throughput Screening of Cytidine-Producing Microbial Strains

Cytidine is an industrially useful precursor for the production of antiviral compounds and a variety of industrial compounds. Interest in the microbial production of cytidine has grown recently and high-throughput screening of cytidine over-producers is an important approach in large-scale industrial production using microorganisms. An enzymatic assay for cytidine was developed combining cytidine deaminase (CDA) and indophenol method. CDA catalyzes the cleavage of cytidine to uridine and NH₃, the latter of which can be accurately determined using the indophenol method. The assay was performed in 96-well plates and had a linear detection range of cytidine of 0.058 - 10 mM. This assay was used to determine the amount of cytidine in fermentation flasks and the results were compared with that of High Perfomance Liquid Chromatography (HPLC) method. The detection range of the CDA method is not as wide as that of the HPLC, furthermore the correlation factor of CDA method is not as high as that of HPLC. However, it was suitable for the detection of large numbers of crude samples and was applied to high-throughput screening for high cytidine-producing strains using 96-well deep-hole culture plates. This assay was proved to be simple, accurate, specific and suitable for cytidine detection and high-throughput screening of cytidine-producing strains in large numbers of samples (96 well or more).     

Quantitative Detection of Microbial Genes by Using DNA Microarrays

To quantify target genes in biological samples using DNA microarrays, we employed reference DNA to normalize variations in spot size and hybridization. This method was tested using nitrate reductase (nirS), naphthalene dioxygenase (nahA), and Escherichia coli O157 O-antigen biosynthesis genes as model genes and lambda DNA as the reference DNA. We observed a good linearity between the log signal ratio and log DNA concentration ratio at DNA concentrations above the method's detection limit, which was approximately 10 pg. This approach for designing quantitative microarrays and the inferred equation from this study provide a simple and convenient way to estimate the target gene concentration from the hybridization signal ratio.     

Simple and Safe Method for Simultaneous Isolation of Microbial RNA and DNA from Problematic Populations

We describe a novel, rapid, and safe method for extracting RNA and DNA from refractory microbes, which avoids the use of phenol or chloroform. It has been used successfully to isolate high-quality nucleic acids from pure cultures and environmental populations known to resist widely used extraction protocols.     

Electrode System for the Determination of Microbial Populations

Determinations of microbial populations were carried out by using a new electrode system composed of two electrodes. Each electrode was constructed from a platinum anode and a silver peroxide cathode. The anode of the reference electrode was covered with cellulose dialysis membrane. The response time of the electrode system was 15 min in culture broth, and current differences between the two electrodes were proportional to populations of microbial cells in cultures of Saccharomyces cerevisiae and Lactobacillus fermentum. Current differences were reproducible; the average relative error was 5%. Furthermore, cell populations of S. cerevisiae in a fermentor could be continuously estimated by using this electrochemical method.     

Nucleotide Sequence Analysis of DNA

There are three major obstacles to the analysis of the nucleotide sequence in a DNA molecule starting from a known location in the DNA molecule. First, it is difficult to obtain large quantities of homogeneous DNA. Second, even the smallest DNA molecules contain several thousand nucleotides which make sequence analysis prohibitive. Third, there are no highly base-specific DNAases available for degrading DNA for sequence analysis. We have overcome some of these obstacles; first, by incorporating highly labelled deoxynucleotides into DNA in vitro, small amounts of material can be used for sequence analysis. Second, the nucleotide sequence of DNA molecules can now be determined from the 5′-terminal. Thus, two dodecanucleotide sequences corresponding to the two cohesive ends of λ DNA have been determined¹ and a nona-decanucleotide sequence corresponding to one cohesive end of phage 186 DNA has been completed². So far, our approach is limited to starting the analysis from the 5′-ends of a DNA molecule. A more general approach is being developed for starting the analysis from other selected parts of a DNA molecule with the use of specifically designed primers.     

Microconstriction Arrays for High-Throughput Quantitative Measurements of Cell Mechanical Properties

We describe a method for quantifying the mechanical properties of cells in suspension with a microfluidic device consisting of a parallel array of micron-sized constrictions. Using a high-speed charge-coupled device camera, we measure the flow speed, cell deformation, and entry time into the constrictions of several hundred cells per minute during their passage through the device. From the flow speed and the occupation state of the microconstriction array with cells, the driving pressure across each constriction is continuously computed. Cell entry times into microconstrictions decrease with increased driving pressure and decreased cell size according to a power law. From this power-law relationship, the cell elasticity and fluidity can be estimated. When cells are treated with drugs that depolymerize or stabilize the cytoskeleton or the nucleus, elasticity and fluidity data from all treatments collapse onto a master curve. Power-law rheology and collapse onto a master curve are predicted by the theory of soft glassy materials and have been previously shown to describe the mechanical behavior of cells adhering to a substrate. Our finding that this theory also applies to cells in suspension provides the foundation for a quantitative high-throughput measurement of cell mechanical properties with microfluidic devices.     

A Novel High-Resolution Single Locus Sequence Typing Scheme for Mixed Populations of Propionibacterium acnes In Vivo

The Gram-positive anaerobic bacterium Propionibacterium acnes is a prevalent member of the normal skin microbiota of human adults. In addition to its suspected role in acne vulgaris it is involved in a variety of opportunistic infections. Multi-locus sequence-typing (MLST) schemes identified distinct phylotypes associated with health and disease. Being based on 8 to 9 house-keeping genes these MLST schemes have a high discriminatory power, but their application is time- and cost-intensive. Here we describe a single-locus sequence typing (SLST) scheme for P. acnes. The target locus was identified with a genome mining approach that took advantage of the availability of representative genome sequences of all known phylotypes of P. acnes. We applied this SLST on a collection of 188 P. acnes strains and demonstrated a resolution comparable to that of existing MLST schemes. Phylogenetic analysis applied to the SLST locus resulted in clustering patterns identical to a reference tree based on core genome sequences. We further demonstrate that SLST can be applied to detect multiple phylotypes in complex microbial communities by a metagenomic pyrosequencing approach. The described SLST strategy may be applied to any bacterial species with a basically clonal population structure to achieve easy typing and mapping of multiple phylotypes in complex microbiotas. The P. acnes SLST database can be found at http://medbac.dk/slst/pacnes.     

High-Throughput Quantitative Analysis of the Human Intestinal Microbiota with a Phylogenetic Microarray

Gut microbiota carry out key functions in health and participate in the pathogenesis of a growing number of diseases. The aim of this study was to develop a custom microarray that is able to identify hundreds of intestinal bacterial species. We used the Entrez nucleotide database to compile a data set of bacterial 16S rRNA gene sequences isolated from human intestinal and fecal samples. Identified sequences were clustered into separate phylospecies groups. Representative sequences from each phylospecies were used to develop a microbiota microarray based on the Affymetrix GeneChip platform. The designed microbiota array contains probes to 775 different bacterial phylospecies. In our validation experiments, the array correctly identified genomic DNA from all 15 bacterial species used. Microbiota array has a detection sensitivity of at least 1 pg of genomic DNA and can detect bacteria present at a 0.00025% level of overall sample. Using the developed microarray, fecal samples from two healthy children and two healthy adults were analyzed for bacterial presence. Between 227 and 232 species were detected in fecal samples from children, whereas 191 to 208 species were found in adult stools. The majority of identified phylospecies belonged to the classes Clostridia and Bacteroidetes. The microarray revealed putative differences between the gut microbiota of healthy children and adults: fecal samples from adults had more Clostridia and less Bacteroidetes and Proteobacteria than those from children. A number of other putative differences were found at the genus level.In the healthy adult, there are 10¹¹ to 10¹⁴ bacteria colonizing the intestine. This outnumbers the total tissue cells in the body by at least an order of magnitude. The composition and activity of this complex microbial system (called microbiota or microflora) have a major influence on health and disease (9). Commensal microbiota contribute to the trophic functions of the gut (producing fermentation products and vitamins that can be used by intestinal epithelial cells), stimulate the immune function of the gastrointestinal tract, transform or excrete toxic substances, protect the host against invasion by pathogenic species, and modulate gut motility (28, 36). At the same time, recent research incriminates a dysfunctional cross-talk between the host and the microbiota in the pathogenesis of a growing number of disorders, such as irritable bowel syndrome, inflammatory bowel disease, allergic diseases, and gastrointestinal cancer (28).While the intestine in a newborn contains no microbes, immediately after birth the intestine of the infant is colonized by enterobacteria and enterococci. Gradual changes in microbiota composition occur during childhood, with a general reduction in the number of aerobes and facultative anaerobes and an increase in the populations of obligate anaerobic species (27). It is considered that by 2 years of age the microbiota resembles that of an adult, which is dominated in health and disease by species from only four phyla, Firmicutes (predominantly Clostridia; 50 to 70% total bacterial numbers), Bacteroidetes (10 to 30%), Proteobacteria (up to 10%), and Actinobacteria (up to 5%), with 90% believed to be obligate anaerobes (4, 10, 11, 22).Traditionally, microorganisms were detected in intestinal samples and feces by microscopic, biochemical, or physiological methods, or by culturing on selective nutrient media. However, since most intestinal microbiota species are obligate anaerobes, their isolation and culturing are difficult (21, 38, 42). In recent years, new methods based on the use of microarray technology have been utilized for the characterization of complex microbial communities (18, 32, 41, 43, 47). Microarrays represent an excellent choice for the high-throughput analysis of bacterial populations, because many different probes can be placed on one slide or synthesized on one chip, and samples thus can be tested for the presence of many different species simultaneously. Environmental and clinical samples can be interrogated directly, circumventing any need for culturing, and thus nonculturable species can be reliably detected.Several types of microarrays have been used to date to characterize the composition of microbial communities (47). Community genome arrays are constructed using whole genomic DNA (gDNA) isolated from pure culture strains (46). Functional gene arrays contain genes encoding key enzymes that are involved in various biochemical processes, and they are useful for monitoring physiological changes in microbial communities (14, 45). Phylogenetic oligonucleotide arrays contain probes derived from rRNA sequence information and are ideally suited for the analysis of microbial community composition structure and variance. Different types of phylogenetic arrays have been designed for these purposes (26, 30, 31).A number of projects performed in the last several years focused on sampling the diversity of human microbiota by the cloning and subsequent sequencing of the 16S rRNA genes isolated from gastrointestinal and fecal samples (5, 10, 13, 23, 38). In this project, we have designed, developed, and validated a custom microbiota microarray containing 16S rRNA genes probes to 775 different microbial phylospecies of human intestinal bacteria. We also have tested the applicability of this array to profiling the microbiota populations in fecal samples isolated from two adult and two child volunteers.