Effect of genome size and rrn gene copy number on PCR amplification of 16S rRNA genes from a mixture of bacterial species

Evaluation of single-nucleotide primer extension for detection and typing of phylogenetic markers used for investigation of microbial communities

Single-nucleotide primer extension (SNuPE) is an emerging tool for parallel detection of DNA sequences of different target microorganisms. The specificity and sensitivity of the SNuPE method were assessed by performing single and multiplex reactions using defined template mixtures of 16S rRNA gene PCR products obtained from pure bacterial cultures. The mismatch discrimination potential of primer extension was investigated by introducing different single and multiple primer-target mismatches. The type and position of the mismatch had significant effects on the specificity of the assay. While a 3'-terminal mismatch has a considerable effect on the fidelity of the extension reaction, the internal mismatches influenced hybridization mostly by destabilizing the hybrid duplex. Thus, carefully choosing primer-mismatch positions should result in a high signal-to-noise ratio and prevent any nonspecific extension. Cyclic fluorescent labeling of the hybridized primers via extension also resulted in a significant increase in the detection sensitivity of the PCR. In multiplex reactions, the signal ratios detected after specific primer extension correlated with the original template ratios. In addition, reverse-transcribed 16S rRNA was successfully used as a nonamplified template to prove the applicability of SNuPE in a PCR-independent manner. In conclusion, this study demonstrates the great potential of SNuPE for simultaneous detection and typing of various nucleic acid sequences from both environmental and engineered samples.

Effect of PCR amplicon size on assessments of clone library microbial diversity and community structure

PCR-based surveys of microbial communities commonly use regions of the small-subunit ribosomal RNA (SSU rRNA) gene to determine taxonomic membership and estimate total diversity. Here we show that the length of the target amplicon has a significant effect on assessments of microbial richness and community membership. Using operational taxonomic unit (OTU)- and taxonomy-based tools, we compared the V6 hypervariable region of the bacterial SSU rRNA gene of three amplicon libraries of c. 100, 400 and 1000 base pairs (bp) from each of two hydrothermal vent fluid samples. We found that the smallest amplicon libraries contained more unique sequences, higher diversity estimates and a different community structure than the other two libraries from each sample. We hypothesize that a combination of polymerase dissociation, cloning bias and mispriming due to secondary structure accounts for the differences. While this relationship is not linear, it is clear that the smallest amplicon libraries contained more different types of sequences, and accordingly, more diverse members of the community. Because divergent and lower abundant taxa can be more readily detected with smaller amplicons, they may provide better assessments of total community diversity and taxonomic membership than longer amplicons in molecular studies of microbial communities.

Diversity of bacterial communities in container habitats of mosquitoes

We investigated the bacterial diversity of microbial communities in water-filled, human-made and natural container habitats of the mosquitoes Aedes aegypti and Aedes albopictus in suburban landscapes of New Orleans, Louisiana in 2003. We collected water samples from three classes of containers, including tires (n = 12), cemetery urns (n = 23), and miscellaneous containers that included two tree holes (n = 19). Total genomic DNA was extracted from water samples, and 16S ribosomal DNA fragments (operational taxonomic units, OTUs) were amplified by PCR and separated by denaturing gradient gel electrophoresis (DGGE). The bacterial communities in containers represented diverse DGGE-DNA banding patterns that were not related to the class of container or to the local spatial distribution of containers. Mean richness and evenness of OTUs were highest in water samples from tires. Bacterial phylotypes were identified by comparative sequence analysis of 90 16S rDNA DGGE band amplicons. The majority of sequences were placed in five major taxa: Alpha-, Beta- and Gammaproteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Firmicutes, and an unclassified group; Proteobacteria and Bacteroidetes were the predominant heterotrophic bacteria in containers. The bacterial communities in human-made containers consisted mainly of undescribed species, and a phylogenetic analysis based on 16S rRNA sequences suggested that species composition was independent of both container type and the spatial distribution of containers. Comparative PCR-based, cultivation-independent rRNA surveys of microbial communities associated with mosquito habitats can provide significant insight into community organization and dynamics of bacterial species.

Distribution of oil-degrading bacteria in coastal seawater, Toyama Bay, Japan

Oil-degrading bacteria are considered to play an important role in the biodegradation of spilled or released oil in the sea. The distribution of indigenous oil-degrading bacteria in the coastal seawater of Toyama Bay, Japan, was examined. Surface seawater samples with or without oil film in fishing port were analyzed by denaturing gradient gel electrophoresis (DGGE) of the PCR-amplified V3 region of bacterial 16S rDNA. Sequence analysis revealed that several DGGE bands clearly detected only in samples with oil film corresponded to Cyanobacteria. Moreover, we cultured surface seawater samples with oil film in two different liquid culture media, a marine broth and an NSW medium; each culture contained 0.5% (w/v) C-heavy oil. Emulsification of the oil was observed at day 6 in the marine broth and day 9 in the NSW medium. Time-dependent changes of bacterial communities in those culture media were analyzed by DGGE. Interestingly, we found that Alcanivorax sp. became one of the dominant bacteria in each culture medium when emulsification of the oil began. Alcanivorax sp. is one of the well-known oil-degrading bacteria in seawater and is associated with the production of biosurfactants. These results suggest that Cyanobacteria and Alcanivorax play important roles in the bioremediation of oil-contaminated areas in Toyama Bay.

Influence of 16S rDNA primer sequence mismatches on the spectrum of bacterial genera detected in prostate tissue by universal eubacterial PCR

BACKGROUND

Propionibacterium sp. and Staphylococcus spp. are the most frequent bacteria cultured from prostatectomy specimens but are seldom detected by universal eubacterial PCR.

MATERIALS AND METHODS

We obtained from GenBank representative 16S rRNA gene sequences from Propionibacterium sp., Staphylococcus spp. and from 34 bacterial genera that were recently detected in prostate tissues using universal eubacterial PCR. We compared these 16S rDNA sequences with the universal eubacterial 16S PCR primer sets chosen for detection of bacterial DNA in prostate tissues.

RESULTS

We show that failure to detect DNA from Propionibacterium sp. and Staphylococcus spp. in prostate tissues is strongly associated with the presence of mismatches near the 3' termini of the 16S rDNA primer sets used.

CONCLUSIONS

The choice of 16S PCR primers may play an important role in determining the spectrum of bacterial genera detected in prostate tissue by universal eubacterial PCR.

Bacteria associated with toxic clonal cultures of the dinoflagellate Ostreopsis lenticularis

The marine toxic dinoflagellate Ostreopsis lenticularis has been implicated as the major vector in ciguatera seafood poisoning on the southwest coast of Puerto Rico. Studies have demonstrated that associated bacteria play a role in the ciguatoxin production and that different clonal cultures of O. lenticularis harbor different culturable bacteria. In this study, more than 125 associated bacteria from two toxic clonal cultures of O. lenticularis (no. 302 and no. 303) were analyzed utilizing polymerase chain reaction amplification of the partial small subunit ribosomal DNA (rRNA), denaturing gradient gel electrophoresis, and DNA sequencing. Approximately 50% of total bacteria identified in both cultures were a single species belonging to the Cytophaga-Flavobacter-Bacteroides complex. This bacterium was also found in six new O. lenticularis clonal cultures established 10 years after the original cultures used in this study and absent from a clonal culture of a different dinoflagellate species. The data presented here indicate a persistent and apparently specific association of this bacterium with O. lenticularis, which makes it a candidate involved in ciguatoxin production.

Evaluation of the bacterial diversity in the feces of cattle using 16S rDNA bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP)

BACKGROUND

The microbiota of an animal's intestinal tract plays important roles in the animal's overall health, productivity and well-being. There is still a scarcity of information on the microbial diversity in the gut of livestock species such as cattle. The primary reason for this lack of data relates to the expense of methods needed to generate such data. Here we have utilized a bacterial tag-encoded FLX 16s rDNA amplicon pyrosequencing (bTEFAP) approach that is able to perform diversity analyses of gastrointestinal populations. bTEFAP is relatively inexpensive in terms of both time and labor due to the implementation of a novel tag priming method and an efficient bioinformatics pipeline. We have evaluated the microbiome from the feces of 20 commercial, lactating dairy cows.

RESULTS

Ubiquitous bacteria detected from the cattle feces included Clostridium, Bacteroides, Porpyhyromonas, Ruminococcus, Alistipes, Lachnospiraceae, Prevotella, Lachnospira, Enterococcus, Oscillospira, Cytophage, Anaerotruncus, and Acidaminococcus spp. Foodborne pathogenic bacteria were detected in several of the cattle, a total of 4 cows were found to be positive for Salmonella spp (tentative enterica) and 6 cows were positive for Campylobacter spp. (tentative lanienae).

CONCLUSION

Using bTEFAP we have examined the microbiota in the feces of cattle. As these methods continue to mature we will better understand the ecology of the major populations of bacteria the lower intestinal tract. This in turn will allow for a better understanding of ways in which the intestinal microbiome contributes to animal health, productivity and wellbeing.

Detection and discovery of crustacean parasites in blue crabs (Callinectes sapidus) by using 18S rRNA gene-targeted denaturing high-performance liquid chromatography

Recently, we described a novel denaturing high-performance liquid chromatography (DHPLC) approach useful for initial detection and identification of crustacean parasites. Because this approach utilizes general primers targeted to conserved regions of the 18S rRNA gene, a priori genetic sequence information on eukaryotic parasites is not required. This distinction provides a significant advantage over specifically targeted PCR assays that do not allow for the detection of unknown or unsuspected parasites. However, initial field evaluations of the DHPLC assay suggested that because of PCR-biased amplification of dominant host genes it was not possible to detect relatively rare parasite genes in infected crab tissue. Here, we describe the use of a peptide nucleic acid (PNA) PCR hybridization blocking probe in association with DHPLC (PNA-PCR DHPLC) to overcome inherent PCR bias associated with amplification of rare target genes by use of generic primers. This approach was utilized to detect infection of blue crabs (Callinectes sapidus) by the parasitic dinoflagellate Hematodinium sp. Evaluation of 76 crabs caught in Wassaw Sound, GA, indicated a 97% correspondence between detection of the parasite by use of a specific PCR diagnostic assay and that by use of PNA-PCR DHPLC. During these studies, we discovered one crab with an association with a previously undescribed protist symbiont. Phylogenetic analysis of the amplified symbiont 18S rRNA gene indicated that it is most closely related to the free-living kinetoplastid parasite Procryptobia sorokini. To our knowledge, this is the first report of this parasite group in a decapod crab and of this organism exhibiting a presumably parasitic life history.

Development and experimental validation of a predictive threshold cycle equation for quantification of virulence and marker genes by high-throughput nanoliter-volume PCR on the OpenArray platform

Development of quantitative PCR (QPCR) assays typically requires extensive screening within and across a given species to ensure specific detection and lucid identification among various pathogenic and nonpathogenic strains and to generate standard curves. To minimize screening requirements, multiple virulence and marker genes (VMGs) were targeted simultaneously to enhance reliability, and a predictive threshold cycle (C(T)) equation was developed to calculate the number of starting copies based on an experimental C(T). The empirical equation was developed with Sybr green detection in nanoliter-volume QPCR chambers (OpenArray) and tested with 220 previously unvalidated primer pairs targeting 200 VMGs from 30 pathogens. A high correlation (R(2) = 0.816) was observed between the predicted and experimental C(T)s based on the organism's genome size, guanine and cytosine (GC) content, amplicon length, and stability of the primer's 3' end. The performance of the predictive C(T) equation was tested using 36 validation samples consisting of pathogenic organisms spiked into genomic DNA extracted from three environmental waters. In addition, the primer success rate was dependent on the GC content of the target organisms and primer sequences. Targeting multiple assays per organism and using the predictive C(T) equation are expected to reduce the extent of the validation necessary when developing QPCR arrays for a large number of pathogens or other targets.

A novel recombinant ethyl ferulate esterase from Burkholderia multivorans

AIMS

Isolation and identification of bacterial isolates with specific ferulic acid (FA) esterase activity and cloning of a gene encoding activity.

METHODS AND RESULTS

A micro-organism with ethyl ferulate hydrolysing (EFH) activity was isolated by culture enrichment techniques. Detailed molecular identification based on species-specific primers and two conserved genes (16S rRNA and recA) led to the identification of the isolate as Burkholderia multivorans UWC10. A gene (designated estEFH5) encoding an EFH enzyme was cloned and its nucleotide sequence determined. Translational analysis revealed that estEFH5 encoded a polypeptide of 326 amino acids with an estimated molecular weight of 34.83 kDa. The EstEFH5 primary structure showed a typical serine hydrolase motif (G-H-S-L-G). The estEFH5 gene was over-expressed in Escherichia coli in an insoluble form. Following urea denaturation and in vitro refolding, the enzyme was purified using one-step His Select Nickel chromatographic column.

CONCLUSION

Purified EstEFH5 showed a preference for short-chain rho-nitrophenyl esters (C2 and C3) a typical feature for carboxylesterase. Furthermore, the recombinant enzyme also retained the activity against ethyl ferulate (EF).

SIGNIFICANCE AND IMPACT OF THE STUDY

A biocatalytic process for the production of FA from EF as a model substrate was demonstrated. This is the first report that describes the cloning and expression of a gene encoding FA esterase activity from the genus Burkholderia.

Endophytic bacterial diversity in rice (Oryza sativa L.) roots estimated by 16S rDNA sequence analysis

The endophytic bacterial diversity in the roots of rice (Oryza sativa L.) growing in the agricultural experimental station in Hebei Province, China was analyzed by 16S rDNA cloning, amplified ribosomal DNA restriction analysis (ARDRA), and sequence homology comparison. To effectively exclude the interference of chloroplast DNA and mitochondrial DNA of rice, a pair of bacterial PCR primers (799f-1492r) was selected to specifically amplify bacterial 16S rDNA sequences directly from rice root tissues. Among 192 positive clones in the 16S rDNA library of endophytes, 52 OTUs (Operational Taxonomic Units) were identified based on the similarity of the ARDRA banding profiles. Sequence analysis revealed diverse phyla of bacteria in the 16S rDNA library, which consisted of alpha, beta, gamma, delta, and epsilon subclasses of the Proteobacteria, Cytophaga/Flexibacter/Bacteroides (CFB) phylum, low G+C gram-positive bacteria, Deinococcus-Thermus, Acidobacteria, and archaea. The dominant group was Betaproteobacteria (27.08% of the total clones), and the most dominant genus was Stenotrophomonas. More than 14.58% of the total clones showed high similarity to uncultured bacteria, suggesting that nonculturable bacteria were detected in rice endophytic bacterial community. To our knowledge, this is the first report that archaea has been identified as endophytes associated with rice by the culture-independent approach. The results suggest that the diversity of endophytic bacteria is abundant in rice roots.

Application of PCR-SSCP for molecular epidemiological studies on the exposure of farm children to bacteria in environmental dust

The environmental exposure of farm children to microorganisms in dust has become a focus of interest, since microbial exposure on farms has been related to a reduced prevalence of asthma and atopic diseases in children. Previous studies almost exclusively focused on the determination of microbial counts using conventional culturing or the determination of microbial compounds i.e. endotoxins. In this study PCR-SSCP (single-strand conformation polymorphism) was modified for characterising bacterial communities in environmental dusts and their sensitivity and reproducibility was validated. A fivefold repeated PCR-SSCP analyses of a well homogenised mattress dust, cow-shed dust, swine-shed dust, chicken-shed dust and a horse-shed dust sample, respectively, showed similarities, based on Pearson correlations, ranging from 89.7% to 95.2%. The reproducibility of day to day variations (five days) and gel to gel variations (five gels) was also around 90%. The detection limit of Escherichia coli was 7 x 10(1) cfu g(-1) whereas Listeria monocytogenes and Bacillus licheniformis containing 30% spores showed visible bands at 7 x1 0(2) cfu g(-1). Application of this method to dust samples of 37 sheds and 63 children's mattresses showed that distinct farm environment dusts reflected different SSCP profiles. However, digital analysis of the gels showed that some bands in the profiles of shed- and mattress dusts were found at the same position in the gels. By excision, cloning, sequencing and phylogenetic analyses, these bands were identified as Corynebacterium tuberculostearicum, Corynebacterium mucifaciens, Staphylococcus epidermidis, Acinetobacter lwoffii, Brevibacterium iodinum, Brevibacterium linens and Arthrobacter spp, respectively. These results may reflect transfer of microorganisms from animal sheds to mattresses. In conclusion this study demonstrates that PCR-SSCP is a promising method with sensitive detection limits and moderate sample variances to be applied for epidemiological studies characterizing the exposure of farmers using environmental dust.

Quantifying microbial utilization of petroleum hydrocarbons in salt marsh sediments by using the 13C content of bacterial rRNA

Natural remediation of oil spills is catalyzed by complex microbial consortia. Here we took a whole-community approach to investigate bacterial incorporation of petroleum hydrocarbons from a simulated oil spill. We utilized the natural difference in carbon isotopic abundance between a salt marsh ecosystem supported by the 13C-enriched C4 grass Spartina alterniflora and 13C-depleted petroleum to monitor changes in the 13C content of biomass. Magnetic bead capture methods for selective recovery of bacterial RNA were used to monitor the 13C content of bacterial biomass during a 2-week experiment. The data show that by the end of the experiment, up to 26% of bacterial biomass was derived from consumption of the freshly spilled oil. The results contrast with the inertness of a nearby relict spill, which occurred in 1969 in West Falmouth, MA. Sequences of 16S rRNA genes from our experimental samples also were consistent with previous reports suggesting the importance of Gamma- and Deltaproteobacteria and Firmicutes in the remineralization of hydrocarbons. The magnetic bead capture approach makes it possible to quantify uptake of petroleum hydrocarbons by microbes in situ. Although employed here at the domain level, RNA capture procedures can be highly specific. The same strategy could be used with genus-level specificity, something which is not currently possible using the 13C content of biomarker lipids.

Characterization of the inhabitancy of mouse intestinal bacteria (MIB) in rodents and humans by real-time PCR with group-specific primers

Mouse intestinal bacteria (MIB) is a new operational taxonomic unit (OTU) belonging to the Bacteroides subgroup in the Cytophaga-Flavobacter-Bacteroides (CFB) phylum recently found in the intestine of mice, rats and humans. However, their characters are still unknown since they have not yet been isolated by culture. To understand their habitat characteristics in intestinal tracts, the quantification assays of MIB were established using MIB group-specific primers. The MIB population in the intestine was evaluated as a percentage of the number of 16S rRNA gene copy of MIB. A real-time PCR assay using group specific primers showed the fluctuation of MIB inhabitancy and revealed that the MIB population in the small intestine of mice was significantly lower than the large intestinal contents. Moreover, MIB was found in human feces though the number was lower than in murine. This assay using group-specific primers revealed new information about host-preference of MIB.

Reliability for detecting composition and changes of microbial communities by T-RFLP genetic profiling

Terminal restriction fragment length polymorphism (T-RFLP) analysis is commonly used for profiling microbial communities in various environments. However, it may suffer from biases during the analytic process. This study addressed the potential of T-RFLP profiles (1) to reflect real community structures and diversities, as well as (2) to reliably detect changing components of microbial community structures. For this purpose, defined artificial communities of 30 SSU rRNA gene clones, derived from nine bacterial phyla, were used. PCR amplification efficiency was one primary bias with a maximum variability factor of 3.5 among clones. PCR downstream analyses such as enzymatic restriction and capillary electrophoresis introduced a maximum bias factor of 4 to terminal restriction fragment (T-RF) signal intensities, resulting in a total maximum bias factor of 14 in the final T-RFLP profiles. In addition, the quotient between amplification efficiency and T-RF size allowed predicting T-RF abundances in the profiles with high accuracy. Although these biases impaired detection of real community structures, the relative changes in structures and diversities were reliably reflected in the T-RFLP profiles. These data support the suitability of T-RFLP profiling for monitoring effects on microbial communities.

A rapid method for detecting and quantifying bacterial DNA in rust fungal DNA samples

Bacterial DNA contamination of rust fungal DNA can be a significant problem for sequencing the rust fungus. Sequence assembly is much more difficult if the sequence contigs are mixed with bacterial sequence. A quantitative real-time polymerase chain reaction (qPCR) assay was developed to quantify bacterial DNA within rust fungal DNA samples and the results were compared with those obtained from traditional CFU counts. Real-time PCR showed higher values of DNA contamination than CFU. However, the ranking of samples from low to high for bacterial contamination was consistent between the methods. Reasons for the differences between the methods are discussed. The qPCR assay was tested by adding known quantities of Escherichia coli DNA to Puccinia graminis DNA samples. The assay reliably quantified bacterial contamination at > or = 1.0% of the total sample DNA. When bacterial contamination was <1.0%, fungal DNA also occasionally was amplified, nullifying the quantification measurement. However, primer specificity was not simply the product of the ratio of bacterial DNA to fungal DNA. Bacterial contamination could be quantified below 1.0% if the bacterial DNA concentration was approximately 70 pg/mul or greater. Therefore, spiking the fungal samples with a known concentration of E. coli bacterial DNA successfully eliminated the amplification of fungal DNA, making quantification of contaminating bacterial DNA possible for samples with low contamination levels.

Bacterial community composition in Central European running waters examined by temperature gradient gel electrophoresis and sequence analysis of 16S rRNA genes

The bacterial community composition in small streams and a river in central Germany was examined by temperature gradient gel electrophoresis (TGGE) with PCR products of 16S rRNA gene fragments and sequence analysis. Complex TGGE band patterns suggested high levels of diversity of bacterial species in all habitats of these environments. Cluster analyses demonstrated distinct differences among the communities in stream and spring water, sandy sediments, biofilms on stones, degrading leaves, and soil. The differences between stream water and sediment were more significant than those between sites within the same habitat along the stretch from the stream source to the mouth. TGGE data from an entire stream course suggest that, in the upper reach of the stream, a special suspended bacterial community is already established and changes only slightly downstream. The bacterial communities in water and sediment in an acidic headwater with a pH below 5 were highly similar to each other but deviated distinctly from the communities at the other sites. As ascertained by nucleotide sequence analysis, stream water communities were dominated by Betaproteobacteria (one-third of the total bacteria), whereas sediment communities were composed mainly of Betaproteobacteria and members of the Fibrobacteres/Acidobacteria group (each accounting for about 25% of bacteria). Sequences obtained from bacteria from water samples indicated the presence of typical cosmopolitan freshwater organisms. TGGE bands shared between stream and soil samples, as well as sequences found in bacteria from stream samples that were related to those of soil bacteria, demonstrated the occurrence of some species in both stream and soil habitats. Changes in bacterial community composition were correlated with geographic distance along a stream, but in comparisons of different streams and rivers, community composition was correlated only with environmental conditions.

Detection of Actinobacteria cultivated from environmental samples reveals bias in universal primers

AIMS

The aims of this study were to develop media to cultivate actinomycetes, screen the resulting isolates with Actinobacteria-specific primers, and examine the efficacy of detection of the actinobacterial isolates with universal primers.

METHODS AND RESULTS

Soil-extract medium was developed for a terrestrial bluff environment. Recovered isolates were subjected to polymerase chain reaction (PCR) with taxon-specific primers to identify Actinobacteria. Universal bacterial primers 24f and 1492r (modified and original versions) were used to amplify the 16S rRNA gene from the putative Actinobacteria. While both reverse primers failed to provide amplification products from 20% to 50% of the isolates, the 1492r primer detected Actinobacteria more effectively than 1492r-mod. The region of the gene containing the annealing site for the 1492r primers from 15 isolates that failed to amplify showed no differences in nucleotide sequence to the original 1492r primer.

CONCLUSIONS

Universal 16S rRNA gene primers are not capable of amplifying this gene from all bacteria within an environmental sample. Some Actinobacteria may share 100% sequence similarity to universal primers but remain undetected.

SIGNIFICANCE AND IMPACT OF THE STUDY

These findings are important for studies of particular taxa in environmental samples where reactions utilizing universal primers may not reveal the extent of their presence and diversity.

Single-nucleotide primer extension assay for detection and sequence typing of "Dehalococcoides" spp

A single-nucleotide primer extension (SNuPE) assay in combination with taxon-specific 16S rRNA gene PCR analysis was developed for the detection and typing of populations of the genus "Dehalococcoides". The specificity of the assay was evaluated with 16S rRNA gene sequences obtained from an isolate and an environmental sample representing two Dehalococcoides subgroups, i.e., the Cornell and the Pinellas subgroups. Only one sequence type, belonging to the Pinellas subgroup, was detected in a Bitterfeld-Wolfen region aquifer containing chlorinated ethenes as the main contaminants. The three-primer hybridization assay thus provided a fast and easy-to-implement method for confirming the specificity of taxon-specific PCR and allowed rapid additional taxonomic classification into subgroups. This study demonstrates the great potential of SNuPE as a novel approach for rapid parallel detection of microorganisms and typing of different nucleic acid signature sequences from environmental samples.

Cross-ocean distribution of Rhodobacterales bacteria as primary surface colonizers in temperate coastal marine waters

Bacterial surface colonization is a universal adaptation strategy in aquatic environments. However, neither the identities of early colonizers nor the temporal changes in surface assemblages are well understood. To determine the identities of the most common bacterial primary colonizers and to assess the succession process, if any, of the bacterial assemblages during early stages of surface colonization in coastal water of the West Pacific Ocean, nonnutritive inert materials (glass, Plexiglas, and polyvinyl chloride) were employed as test surfaces and incubated in seawater off the Qingdao coast in the spring of 2005 for 24 and 72 h. Phylogenetic analysis of the 16S rRNA gene sequences amplified from the recovered surface-colonizing microbiota indicated that diverse bacteria colonized the submerged surfaces. Multivariate statistical cluster analyses indicated that the succession of early surface-colonizing bacterial assemblages followed sequential steps on all types of test surfaces. The Rhodobacterales, especially the marine Roseobacter clade members, formed the most common and dominant primary surface-colonizing bacterial group. Our current data, along with previous studies of the Atlantic coast, indicate that the Rhodobacterales bacteria are the dominant and ubiquitous primary surface colonizers in temperate coastal waters of the world and that microbial surface colonization follows a succession sequence. A conceptual model is proposed based on these findings, which may have important implications for understanding the structure, dynamics, and function of marine biofilms and for developing strategies to harness or control surface-associated microbial communities.

Effect of feeding cows genetically modified maize on the bacterial community in the bovine rumen

Rumen-cannulated cows (n = 4) were fed successively silage made from either conventional or genetically modified (GM) maize. Results revealed no effects of GM maize on the dynamics of six ruminal bacterial strains (investigated by real-time PCR) compared to the conventional maize silage.

Both sulfate-reducing bacteria and Enterobacteriaceae take part in marine biocorrosion of carbon steel

AIMS

In order to evaluate the part played in biocorrosion by microbial groups other than sulfate-reducing bacteria (SRB), we characterized the phylogenetic diversity of a corrosive marine biofilm attached to a harbour pile structure as well as to carbon steel surfaces (coupons) immersed in seawater for increasing time periods (1 and 8 months). We thus experimentally checked corroding abilities of defined species mixtures.

METHODS AND RESULTS

Microbial community analysis was performed using both traditional cultivation techniques and polymerase chain reaction cloning-sequencing of 16S rRNA genes. Community structure of biofilms developing with time on immersed coupons tended to reach after 8 months, a steady state similar to the one observed on a harbour pile structure. Phylogenetic affiliations of isolates and cloned 16S rRNA genes (rrs) indicated that native biofilms (developing after 1-month immersion) were mainly colonized by gamma-proteobacteria. Among these, Vibrio species were detected in majority with molecular methods while cultivation techniques revealed dominance of Enterobacteriaceae such as Citrobacter, Klebsiella and Proteus species. Conversely, in mature biofilms (8-month immersion and pile structure), SRB, and to a lesser extent, spirochaetes were dominant.

CONCLUSIONS

Corroding activity detection assays confirmed that Enterobacteriaceae (members of the gamma-proteobacteria) were involved in biocorrosion of metallic material in marine conditions.

SIGNIFICANCE AND IMPACT OF THE STUDY

In marine biofilms, metal corrosion may be initiated by Enterobacteriaceae.

Novel approach using substrate-mediated radiolabelling of RNA to link metabolic function with the structure of microbial communities

A novel concept was developed applying radioisotope-labelled substrate incorporation into the biomass. The resulting radiolabelled RNA was used both as an indicator of activity and as a template for gaining structural and functional information about a substrate-utilizing microbial community. Sequences of PCR products are separated via cloning or using molecular fingerprinting techniques. Nucleic acids from predominant clones or the whole molecular fingerprinting pattern are transferred to a membrane and hybridized with the radiolabelled sample RNA. Scanning of the hybridized blots for radioactivity indicates the members involved in the utilization of the substrate. This novel 'random walk' approach using radioisotope probing was evaluated in a model community experiment.

Diel and seasonal variations in abundance, activity, and community structure of particle-attached and free-living bacteria in NW Mediterranean Sea

Diel and seasonal variations in abundance, activity, and structure of particle-attached vs free-living bacterial communities were investigated in offshore NW Mediterranean Sea (0-1000 m). Attached bacteria were always less abundant and less diverse but generally more active than free-living bacteria. The most important finding of this study was that the activity of attached bacteria showed pronounced diel variations in the upper mixed water column with higher activities at night. Under mesotrophic conditions, the contribution of attached bacteria to total bacterial activity increased from less than 10% at day time to 83% at night time. At high chlorophyll a concentration, the highest cell-specific activities and contribution to total bacterial activity were due to free-living bacteria at day and to attached bacteria at night. Under summer oligotrophic conditions, free-living bacteria dominated and contributed to the most important part of the bacterial activity at both day and night, whereas attached bacteria were much less abundant but presented the highest cell-specific activities. These diel and seasonal variations in activities were concomitant to changes in bacterial community structure, mainly in the upper layer. The number of attached ribotypes was fairly constant suggesting that particles are colonized by a relatively limited number of ubiquitous ribotypes. Most of these ribotypes were also free-living ribotypes suggesting that attached bacteria probably originate from colonization of newly formed particles by free-living bacteria in the upper layer. These results reinforce the biogeochemical role of attached bacteria in the cycling of particulate organic carbon in the NW Mediterranean Sea and the importance of diel variability in these processes.

Seasonal and diel distributions of denitrifying and bacterial communities in a hypersaline microbial mat (Camargue, France)

Changes in spatio-temporal distribution of bacterial and denitrifying communities were qualitatively studied in a microbial mat from Camargue (France). During a diel and a seasonal cycle, patterns of 16S rRNA and nitrite reductase genes (nirS and nirK) were compared by denaturing gradient gel electrophoresis (DGGE). Statistical analysis of DGGE profiles showed a significant seasonal shift in the community structure of the nirS-containing bacteria with a winter superficial population that extended in summer, whereas the nirK-containing bacteria seemed more affected by vertical gradients rather than by month-to month-changes. Denitrifying activities remained stable during these sampling times. The bacterial community at the surface of the mat also changed according to season, but appeared stable over a day. Finally, during a diel cycle nirK populations were localized in zones with large fluctuations of environmental parameters (oxygen, pH, and sulfur levels) while nirS populations seemed more restricted to the permanent anoxic layer of the microbial mat.

Composition of the bacterial population of refrigerated beef, identified with direct 16S rRNA gene analysis and pure culture technique

The composition of the dominating population of freshly cut beef, and beef stored at 4 degrees C for 8 d, was studied by direct analysis of the 16S rRNA gene (PCR amplification, cloning and sequencing) and compared with pure culture technique where the isolates picked from the viable plate count were identified by sequencing of the 16S rRNA gene. The composition of the bacterial population was recorded at two different time points, at the start when the viable plate count of the meat was 4 x 10(2) colony forming unit (cfu) per cm(2) and when it was 5 x 10(7) cfu per cm(2). Direct gene analysis by PCR amplification generated 30 clones, and 79 isolates were picked from the plate count, and identified by 16S rRNA gene sequencing. At the low initial bacterial load of the beef, the two sampling strategies showed variations in the composition of species. Direct 16S rRNA gene analysis revealed a domination of Bacillus-like sequences while no such sequences were found in isolates from the viable plate count. Instead the population of the plate count was dominated by Chryseobacterium spp. In contrast, the two sampling strategies matched on the multiplying beef population, where both methods indicated Pseudomonas spp. as the dominating group (99% of the population-sequences), irrespectively of sampling strategy. Pseudomonas panacis/Pseudomons brennerii was the dominating taxon (99% similarity to type strain), but sequences with highest similarity to Pseudomonas lundensis (99%), Pseudomonas beteli (99%) and Pseudomonas koreensis (100%) were also found.

Recognizing diversity in coral symbiotic dinoflagellate communities

A detailed understanding of how diversity in endosymbiotic dinoflagellate communities maps onto the physiological range of coral hosts is critical to predicting how coral reef ecosystems will respond to climate change. Species-level taxonomy of the dinoflagellate genus Symbiodinium has been predominantly examined using the internal transcribed spacer (ITS) region of the nuclear ribosomal array (rDNA ITS2) and downstream screening for dominant types using denaturing gradient gel electrophoresis (DGGE). Here, ITS2 diversity in the communities of Symbiodinium harboured by two Hawaiian coral species was explored using direct sequencing of clone libraries. We resolved sixfold to eightfold greater diversity per coral species than previously reported, the majority of which corresponds to a novel and distinct phylogenetic lineage. We evaluated how these sequences migrate in DGGE and demonstrate that this method does not effectively resolve this diversity. We conclude that the Porites spp. examined here harbour diverse assemblages of novel Symbiodinium types and that cloning and sequencing is an effective methodological approach for resolving the complexity of endosymbiotic dinoflagellate communities harboured by reef corals.

Use of the ITS primers, ITS1F and ITS4, to characterize fungal abundance and diversity in mixed-template samples by qPCR and length heterogeneity analysis

Molecular-based approaches to assess microbial biomass and diversity from soil and other ecosystems are rapidly becoming the standard methodology for analysis. While these techniques are advantageous, because they do not rely on the need to culture organisms, each technique may have its own biases and/or limitations when used to assess fungal diversity from mixed-template samples. In this study, we analyzed PCR specificity and efficiency of the ITS primers (ITS1F and ITS4) in a series of single- and mixed-template samples using a combined quantitative PCR-length heterogeneity analysis (LH-qPCR) approach. As expected, these primers successfully amplified all higher fungal species tested (10 ascomycetes, 6 basidiomycetes, and 4 zygomycetes) and no members of the oomycetes. Based on our results, and a search of the GenBank database, amplicons of the ITS1F and ITS4 primer set exhibit considerable variability (420 to 825 bp), but due to similarities in amplicon sizes of some fungal species, actual species diversity in environmental samples may be underestimated approximately two-fold. The addition of an initial qPCR step allowed for the accurate quantitation of total fungal DNA in mixed-template samples over five orders of magnitude (10(-)(1) to 10(3) pg microl(-)(1)). PCR biases between individuals in mixed-templates rendered it impossible to determine the absolute quantity of any individual within a population from its individual peak height. However, relative changes in individuals within a mixed-template sample could be determined due to a constant proportionality between peak heights and starting template concentration. Variability associated with the individual steps of the LH-qPCR analysis was also determined from environmental samples.

Real-Time Polymerase Chain Reaction in Transfusion Medicine: Applications for Detection of Bacterial Contamination in Blood Products

Bacterial contamination of blood components, particularly of platelet concentrates (PCs), represents the greatest infectious risk in blood transfusion. Although the incidence of platelet bacterial contamination is approximately 1 per 2,000 U, the urgent need for a method for the routine screening of PCs to improve safety for patients had not been considered for a long time. Besides the culturing systems, which will remain the criterion standard, rapid methods for sterility screening will play a more important role in transfusion medicine in the future. In particular, nucleic acid amplification techniques (NATs) are powerful potential tools for bacterial screening assays. The combination of excellent sensitivity and specificity, reduced contamination risk, ease of performance, and speed has made real-time polymerase chain reaction (PCR) technology an appealing alternative to conventional culture-based testing methods. When using real-time PCR for the detection of bacterial contamination, several points have to be considered. The main focus is the choice of the target gene; the assay format; the nucleic acid extraction method, depending on the sample type; and the evaluation of an ideal sampling strategy. However, several factors such as the availability of bacterial-derived nucleic acid amplification reagents, the impracticability, and the cost have limited the use of NATs until now. Attempts to reduce the presence of contaminating nucleic acids from reagents in real-time PCR have been described, but none of these approaches have proven to be very effective or to lower the sensitivity of the assay. Recently, a number of broad-range NAT assays targeting the 16S ribosomal DNA or 23S ribosomal RNA for the detection of bacteria based on real-time technology have been reported. This review will give a short survey of current approaches to and the limitations of the application of real-time PCR for bacterial detection in blood components, with emphasis on the bacterial contamination of PCs.

Bacterial community structure in soils contaminated by polycyclic aromatic hydrocarbons

Bacterial community structure was examined in polycyclic aromatic hydrocarbon (PAH) contaminated soil taken from a timber treatment facility in southern Ireland. Profiles of soil bacterial communities were generated using a molecular fingerprinting technique, terminal restriction fragment length polymorphism (TRFLP), and results were interpreted using sophisticated multivariate statistical analysis. Findings suggested that there was a correlation between PAH structure and bacterial community composition. Initial characterisation of soil from the timber treatment facility indicated that PAH contamination was unevenly distributed across the site. Bacterial community composition was correlated with the type of PAH present, with microbial community structure associated with soil contaminated with two-ringed PAHs only being distinctly different to communities in soils contaminated with multi-component PAH mixtures. Typically the number of bacterial ribotypes detected in samples did not appear to be adversely affected by the level of contamination.

Use of quantitative PCR and culture methods to characterize ecological flux in bacterial biofilms

An in vitro model of supragingival plaque associated with gingivitis was characterized by traditional culture techniques, comparative 16S rRNA gene sequencing of isolates, and quantitative PCR (QPCR). Actinomyces naeslundii, Prevotella spp., and Porphyromonas gingivalis increased under conditions emulating gingivitis. Gram-negative species and total bacteria were dramatically underestimated by culture compared to the estimates obtained by QPCR.

Multivariate analysis of complex DNA sequence electropherograms for high-throughput quantitative analysis of mixed microbial populations

High-throughput quantification of genetically coherent units (GCUs) is essential for deciphering population dynamics and species interactions within a community of microbes. Current techniques for microbial community analyses are, however, not suitable for this kind of high-throughput application. Here, we demonstrate the use of multivariate statistical analysis of complex DNA sequence electropherograms for the effective and accurate estimation of relative genotype abundance in cell samples from mixed microbial populations. The procedure is no more labor-intensive than standard automated DNA sequencing and provides a very effective means of quantitative data acquisition from experimental microbial communities. We present results with the Campylobacter jejuni strain-specific marker gene gltA, as well as the 16S rRNA gene, which is a universal marker across bacterial assemblages. The statistical models computed for these genes are applied to genetic data from two different experimental settings, namely, a chicken infection model and a multispecies anaerobic fermentation model, demonstrating collection of time series data from model bacterial communities. The method presented here is, however, applicable to any experimental scenario where the interest is quantification of GCUs in genetically heterogeneous DNA samples.

Bacterial diversity associated with Blood Falls, a subglacial outflow from the Taylor Glacier, Antarctica

Blood Falls is the surface manifestation of brine released from below the Taylor Glacier, McMurdo Dry Valleys, Antarctica. Geochemical analyses of Blood Falls show that this brine is of a marine origin. The discovery that 74% of clones and isolates from Blood Falls share high 16S rRNA gene sequence homology with phylotypes from marine systems supports this contention. The bacterial 16S rRNA gene clone library was dominated by a phylotype that had 99% sequence identity with Thiomicrospira arctica (46% of the library), a psychrophilic marine autotrophic sulfur oxidizer. The remainder of the library contained phylotypes related to the classes Betaproteobacteria, Deltaproteobacteria, and Gammaproteobacteria and the division Bacteroidetes and included clones whose closest cultured relatives metabolize iron and sulfur compounds. These findings are consistent with the high iron and sulfate concentrations detected in Blood Falls, which are likely due to the interactions of the subglacial brine with the underlying iron-rich bedrock. Our results, together with previous reports, suggest that the brine below the Taylor Glacier hosts a viable ecosystem with microorganisms capable of growth, supported by chemical energy present in reduced iron and sulfur compounds. The metabolic and phylogenetic structure of this subglacial microbial assemblage appears to be controlled by glacier hydrology, bedrock lithology, and the preglacial ecosystem.

Serial analysis of rRNA genes and the unexpected dominance of rare members of microbial communities

The accurate description of a microbial community is an important first step in understanding the roles of its components in ecosystem function. A method for surveying microbial communities termed serial analysis of rRNA genes (SARD) is described here. Through a series of molecular cloning steps, short DNA sequence tags are recovered from the fifth variable (V5) region of the prokaryotic 16S rRNA genes from microbial communities. These tags are ligated to form concatemers comprised of 20 to 40 tags which are cloned and identified by DNA sequencing. Four agricultural soil samples were profiled with SARD to assess the method's utility. A total of 37,008 SARD tags comprising 3,127 unique sequences were identified. A comparison of duplicate profiles from one soil genomic DNA preparation revealed that the method was highly reproducible. The large numbers of singleton tags, together with nonparametric richness estimates, indicated that a significant amount of sequence tag diversity remained undetected with this level of sampling. The abundance classes of the observed tags were scale-free and conformed to a power law distribution. Numerically, the majority of the total tags observed belonged to abundance classes that were each present at less than 1% of the community. Over 99% of the unique tags individually made up less than 1% of the community. Therefore, from either a numerical or diversity standpoint, taxa with low abundance comprised a significant proportion of the microbial communities examined and could potentially make a large contribution to ecosystem function. SARD may provide a means to explore the ecological roles of these rare members of microbial communities in qualitative and quantitative terms.

Identification and Phylogenetic analysis of thermophilic sulfate-reducing bacteria in oil field samples by 16S rDNA gene cloning and sequencing

Thermophilic sulfate-reducing bacteria (SRB) have been recognized as an important source of hydrogen sulfide (H2S) in hydrocarbon reservoirs and in production systems. Four thermophilic SRB enrichment cultures from three different oil field samples (sandstone core, drilling mud, and production water) were investigated using 16S rDNA sequence comparative analysis. In total, 15 different clones were identified. We found spore-forming, low G+C content, thermophilic, sulfate-reducing Desulfotomaculum-related sequences present in all oil field samples, and additionally a clone originating from sandstone core which was assigned to the mesophilic Desulfomicrobium group. Furthermore, three clones related to Gram-positive, non-sulfate-reducing Thermoanaerobacter species and four clones close to Clostridium thermocopriae were found in enrichment cultures from sandstone core and from production water, respectively. In addition, the deeply rooted lineage of two of the clones suggested previously undescribed, Gram-positive, low G+C content, thermophilic, obligately anaerobic bacteria present in production water. Such thermophilic, non-sulfate-reducing microorganisms may play an important ecological role alongside SRB in oil field environments.

The use of molecular techniques based on ribosomal RNA and DNA for rumen microbial ecosystem studies: a review

This paper analyses the research progress in the use of molecular techniques based on ribosomal RNA and DNA (rRNA/rDNA) for rumen microbial ecosystem since first literature by Stahl et al. (1988). Because rumen microbial populations could be under-estimated by adopting the traditional techniques such as roll-tube technique or most-probable-number estimates, modern molecular techniques based on 16S/18S rRNA/rDNA can be used to more accurately provide molecular characterization, microbe populations and classification scheme than traditional methods. Phylogenetic-group-specific probes can be used to hybridize samples for detecting and quantifying of rumen microbes. But, competitive-PCR and real-time PCR can more sensitively quantify rumen microbes than hybridization. Molecular fingerprinting techniques including both denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE) and restriction fragment length polymorphisms (RFLP) can used to explore diversity of bacteria, protozoa and fungi in the rumen ecosystem. By constructing clone libraries of 16S/18S rRNA/rDNA of rumen microbes, more new microbes can be discovered and identified. For fungi, internal transcribed spacers (ITS) of fungi are better than 18S rRNA/rDNA for discriminating operational taxonomic units. In conclusion, 16S/18S rRNA/rDNA procedures have been used with success in rumen microbes and are quickly gaining acceptance for studying rumen microbial ecosystem, and will become useful methods for rumen ecology research. However, molecular techniques based on 16S/18S rRNA/rDNA don't preclude classical and traditional microbiological techniques. It should used together to acquire accurate and satisfactory results.

MiCA: a web-based tool for the analysis of microbial communities based on terminal-restriction fragment length polymorphisms of 16S and 18S rRNA genes

A web-based resource, Microbial Community Analysis (MiCA), has been developed to facilitate studies on microbial community ecology that use analyses of terminal-restriction fragment length polymorphisms (T-RFLP) of 16S and 18S rRNA genes. MiCA provides an intuitive web interface to access two specialized programs and a specially formatted database of 16S ribosomal RNA sequences. The first program performs virtual polymerase chain reaction (PCR) amplification of rRNA genes and restriction of the amplicons using primer sequences and restriction enzymes chosen by the user. This program, in silico PCR and Restriction (ISPaR), uses a binary encoding of DNA sequences to rapidly scan large numbers of sequences in databases searching for primer annealing and restriction sites while permitting the user to specify the number of mismatches in primer sequences. ISPaR supports multiple digests with up to three enzymes. The number of base pairs between the 5' and 3' primers and the proximal restriction sites can be reported, printed, or exported in various formats. The second program, APLAUS, infers a plausible community structure(s) based on T-RFLP data supplied by a user. APLAUS estimates the relative abundances of populations and reports a listing of phylotypes that are consistent with the empirical data. MiCA is accessible at http://mica.ibest.uidaho.edu/.

Investigation of the microbial ecology of Ciauscolo, a traditional Italian salami, by culture-dependent techniques and PCR-DGGE

The microbial ecology of 22 samples of commercially available Ciauscolo salami were investigated using a polyphasic approach, based on culture-dependent and -independent techniques. The viable counts of pathogen and hygiene indicator microorganisms highlighted the adequate application of good manufacturing practices, while the viable counts of the lactic acid bacteria, coagulase negative cocci, and yeasts showed dominance of the first of these microbial groups. Bacterial and fungal DNA were extracted directly from the salami and amplified by PCR, using two primer sets targeting the 16S and 28S rRNA genes, respectively. Denaturing gradient gel electrophoresis (DGGE) and sequencing of selected bands were used to investigate the microbial ecology of these Ciauscolo salami. The most frequently found bacterial species were Lactobacillus sakei and Lb. curvatus, while Debaryomyces hansenii was the prevalent yeast species detected. Cluster analysis of the DGGE profiles and calculation of biodiversity indices allowed the degree of microbial similarity across these salami to be determined.

Bacterial reduction and persistence after endodontic treatment procedures

Bacteria that persist after endodontic disinfection procedures may lead to treatment failure. Over 50% of the bacteria found in endodontic infections are as-yet-uncultivated so investigations of bacteria that endure treatment procedures should include techniques that side-step cultivation. This culture-independent study evaluated the bacterial reduction promoted by intracanal disinfection procedures and identified the taxa persisting after treatment. Samples taken from the infected canals of teeth with apical periodontitis before treatment (S1), after instrumentation using NaOCl as irrigant (S2) and after interappointment medication with a calcium hydroxide paste (S3) were subjected to 16S rRNA gene clone library and real-time polymerase chain reaction analyses. The S2 and S3 samples from five of the 15 canals showed negative results. In the other cases, instrumentation and instrumentation/medication promoted a significant reduction (99.67% and 99.85%, respectively) in the number of bacteria when compared to S1 samples. Forty-three distinct bacterial taxa were identified, of which 24 (56%) were as-yet-uncultivated phylotypes. Nineteen of these 43 taxa (including eight as-yet-uncultivated phylotypes) were disclosed in post-treatment samples, with streptococci being the most prevalent taxa. Findings demonstrated that culture-independent methods provide a detailed insight into the effects of intracanal disinfection protocols, helping to define more effective strategies to deal with endodontic bacteria, including as-yet-uncultivated phylotypes.

High-density universal 16S rRNA microarray analysis reveals broader diversity than typical clone library when sampling the environment

Molecular approaches aimed at detection of a broad-range of prokaryotes in the environment routinely rely on classifying heterogeneous 16S rRNA genes amplified by polymerase chain reaction (PCR) using primers with broad specificity. The general method of sampling and categorizing DNA has been to clone then sequence the PCR products. However, the number of clones required to adequately catalog the majority of taxa in a sample is unwieldy. Alternatively, hybridizing target sequences to a universal 16S rRNA gene microarray may provide a more rapid and comprehensive view of prokaryotic community composition. This study investigated the breadth and accuracy of a microarray in detecting diverse 16S rRNA gene sequence types compared to clone-and-sequencing using three environmental samples: urban aerosol, subsurface soil, and subsurface water. PCR products generated from universal 16S rRNA gene-targeted primers were classified by using either the clone-and-sequence method or by hybridization to a novel high-density microarray of 297,851 probes complementary to 842 prokaryotic subfamilies. The three clone libraries comprised 1391 high-quality sequences. Approximately 8% of the clones could not be placed into a known subfamily and were considered novel. The microarray results confirmed the majority of clone-detected subfamilies and additionally demonstrated greater amplicon diversity extending into phyla not observed by the cloning method. Sequences matching operational taxonomic units within the phyla Nitrospira, Planctomycetes, and TM7, which were uniquely detected by the array, were verified with specific primers and subsequent amplicon sequencing. Subfamily richness detected by the array corresponded well with nonparametric richness predictions extrapolated from clone libraries except in the water community where clone-based richness predictions were greatly exceeded. It was concluded that although the microarray is unreliable in identifying novel prokaryotic taxa, it reveals greater diversity in environmental samples than sequencing a typically sized clone library. Furthermore, the microarray allowed samples to be rapidly evaluated with replication, a significant advantage in studies of microbial ecology.