Pattern‐mapped multiple detection of 11 pathogenic bacteria using a 16s rDNA‐based oligonucleotide microarray

Pathogen detection is an important issue in human health due to the threats posed by severe communicable diseases. In the present study, to achieve efficient and accurate multiple detection of 11 selected pathogenic bacteria, we constructed a 16S rDNA oligonucleotide microarray containing doubly specific capture probes. Many target pathogens were specifically detected by the microarray with the aid of traditional perfect match‐based analysis using our previously proposed two‐dimensional visualization plot tool. However, some target species or subtypes were difficult to discriminate by perfect match analysis due to nonspecific binding of conserved 16S rDNA‐derived capture probes with high sequence similarity. We noticed that the patterns of specific spots for each strain were somewhat different in the two‐dimensional gradation plot. Therefore, to discriminate subtle differences between phylogenetically related pathogens, a pattern‐mapping statistical model was established using an artificial neural network algorithm trained by experimental repeats. The oligonucleotide microarray system harboring doubly specific capture probes combined with the pattern‐mapping analysis tool resulted in successful detection of all target pathogens including even subtypes of two closely related species showing strong nonspecific binding. Collectively, the results indicate that our novel combined system of a 16S rDNA‐based DNA microarray and a pattern‐mapping statistical analysis tool is a simple and effective method for detecting multiple pathogens. Biotechnol. Bioeng. 2010;106: 183–192. © 2010 Wiley Periodicals, Inc.     

Is 16S rDNA a Reliable Phylogenetic Marker to Characterize Relationships Below the Family Level in the Enterobacteriaceae?

The phylogenetic relationships of multiple enterobacterial species were reconstructed based on 16S rDNA gene sequences to evaluate the robustness of this housekeeping gene in the taxonomic placement of the enteric plant pathogens Erwinia, Brenneria, Pectobacterium, and Pantoea. Four data sets were compiled, two of which consisted of previously published data. The data sets were designed in order to evaluate how 16S rDNA gene phylogenies are affected by the use of different plant pathogen accessions and varying numbers of animal pathogen and outgroup sequences. DNA data matrices were analyzed using maximum likelihood (ML) algorithms, and character support was determined by ML bootstrap and Bayesian analyses. As additional animal pathogen sequences were added to the phylogenetic analyses, taxon placement changed. Further, the phylogenies varied in their placement of the plant pathogen species, and only the genus Pantoea was monophyletic in all four trees. Finally, bootstrap and Bayesian support values were low for most of the nodes, and all nonterminal branches collapsed in strict consensus trees. Inspection of 16S rDNA nucleotide alignments revealed several highly variable blocks punctuated by regions of conserved sequence. These data suggest that 16S rDNA, while effective for both species-level and family-level phylogenetic reconstruction, may underperform for genus-level phylogenetic analyses in the Enterobacteriaceae.     

Simultaneous discrimination between 15 fish pathogens by using 16S ribosomal DNA PCR and DNA microarrays

We developed a DNA microarray suitable for simultaneous detection and discrimination between multiple bacterial species based on 16S ribosomal DNA (rDNA) polymorphisms using glass slides. Microarray probes (22- to 31-mer oligonucleotides) were spotted onto Teflon-masked, epoxy-silane-derivatized glass slides using a robotic arrayer. PCR products (ca. 199 bp) were generated using biotinylated, universal primer sequences, and these products were hybridized overnight (55 degrees C) to the microarray. Targets that annealed to microarray probes were detected using a combination of Tyramide Signal Amplification and Alexa Fluor 546. This methodology permitted 100% specificity for detection of 18 microbes, 15 of which were fish pathogens. With universal 16S rDNA PCR (limited to 28 cycles), detection sensitivity for purified control DNA was equivalent to <150 genomes (675 fg), and this sensitivity was not adversely impacted either by the presence of competing bacterial DNA (1.1 x 10(6) genomes; 5 ng) or by the addition of up to 500 ng of fish DNA. Consequently, coupling 16S rDNA PCR with a microarray detector appears suitable for diagnostic detection and surveillance for commercially important fish pathogens.     

The 18S rDNA sequence of Synchytrium endobioticum and its utility in microarrays for the simultaneous detection of fungal and viral pathogens of potato

Resting spores extracted from wart (Synchytrium endobioticum)-infected potato tubers were used for DNA extraction and amplification of 18S rDNA. Analysis of the cloned, sequenced fragment revealed high similarity to members of the Chytridiomycota. Using this information, specific oligonucleotide probes were designed and arrayed onto glass slides for detection of the pathogen. Viral sequence information available in the databank was retrieved, or new viral sequences were generated, and used to design probes for specific detection of important quarantine viruses of potato. To determine the sensitivity and specificity of the oligonucleotide probes, total RNA from infected plants was reverse transcribed, labelled with Cyanine 5, and hybridised with the microarray. A significant number of the oligonucleotide probes exhibited high specificity to S. endobioticum, Andean potato latent virus, Andean potato mottle virus, Potato black ringspot virus, and Potato spindle tuber viroid. Hybridisation signals of sub-arrays within slides were reproducible (r=0.79) with a high correlation coefficient of hybridisation repetitions (0.73). Our results demonstrate the potential of microarray-based hybridisation for identification of multiple pathogen targets, which will find application in quarantine laboratories, where parallel testing for diverse pathogens is essential.     

Simultaneous Discrimination between 15 Fish Pathogens by Using 16S Ribosomal DNA PCR and DNA Microarrays

We developed a DNA microarray suitable for simultaneous detection and discrimination between multiple bacterial species based on 16S ribosomal DNA (rDNA) polymorphisms using glass slides. Microarray probes (22- to 31-mer oligonucleotides) were spotted onto Teflon-masked, epoxy-silane-derivatized glass slides using a robotic arrayer. PCR products (ca. 199 bp) were generated using biotinylated, universal primer sequences, and these products were hybridized overnight (55°C) to the microarray. Targets that annealed to microarray probes were detected using a combination of Tyramide Signal Amplification and Alexa Fluor 546. This methodology permitted 100% specificity for detection of 18 microbes, 15 of which were fish pathogens. With universal 16S rDNA PCR (limited to 28 cycles), detection sensitivity for purified control DNA was equivalent to <150 genomes (675 fg), and this sensitivity was not adversely impacted either by the presence of competing bacterial DNA (1.1 × 10⁶ genomes; 5 ng) or by the addition of up to 500 ng of fish DNA. Consequently, coupling 16S rDNA PCR with a microarray detector appears suitable for diagnostic detection and surveillance for commercially important fish pathogens.     

Waterborne pathogen detection by use of oligonucleotide-based microarrays

A small-oligonucleotide microarray prototype was designed with probes specific for the universal 16S rRNA and cpn60 genes of several pathogens that are usually encountered in wastewaters. In addition to these two targets, wecE-specific oligonucleotide probes were included in the microarray to enhance its discriminating power within the Enterobacteriaceae family. Universal PCR primers were used to amplify variable regions of 16S rRNA, cpn60, and wecE genes directly in Escherichia coli and Salmonella enterica serovar Typhimurium genomic DNA mixtures (binary); E. coli, S. enterica serovar Typhimurium, and Yersinia enterocolitica genomic DNA mixtures (ternary); or wastewater total DNA. Amplified products were fluorescently labeled and hybridized on the prototype chip. The detection sensitivity for S. enterica serovar Typhimurium was estimated to be on the order of 0.1% (10(4) S. enterica genomes) of the total DNA for the combination of PCR followed by microarray hybridization. The sensitivity of the prototype could be increased by hybridizing amplicons generated by PCR targeting genes specific for a bacterial subgroup, such as wecE genes, instead of universal taxonomic amplicons. However, there was evidence of PCR bias affecting the detection limits of a given pathogen as increasing amounts of a different pathogen were spiked into the test samples. These results demonstrate the feasibility of using DNA microarrays in the detection of waterborne pathogens within mixed populations but also raise the problem of PCR bias in such experiments.     

Detection of bacterial pathogens in environmental samples using DNA microarrays

Polymerase chain reaction (PCR) is an important tool for pathogen detection, but historically, it has not been possible to accurately identify PCR products without sequencing, Southern blots, or dot-blots. Microarrays can be coupled with PCR where they serve as a set of parallel dot-blots to enhance product detection and identification. Microarrays are composed of many discretely located probes on a solid substrate such as glass. Each probe is composed of a sequence that is complimentary to a pathogen-specific gene sequence. PCR is used to amplify one or more genes and the products are then hybridized to the array to identify species-specific polymorphism within one or more genes. We illustrate this type of array using 16S rDNA probes suitable for distinguishing between several salmonid pathogens. We also describe the use of microarrays for direct detection of either RNA or DNA without the aid of PCR, although the sensitivity of these systems currently limits their application for pathogen detection. Finally, microarrays can also be used to "fingerprint" bacterial isolates and they can be used to identify diagnostic markers suitable for developing new PCR-based detection assays. We illustrate this type of array for subtyping an important food-borne pathogen, Listeria monocytogenes.     

Development and comparison of two assay formats for parallel detection of four biothreat pathogens by using suspension microarrays

Microarrays provide a powerful analytical tool for the simultaneous detection of multiple pathogens. We developed diagnostic suspension microarrays for sensitive and specific detection of the biothreat pathogens Bacillus anthracis, Yersinia pestis, Francisella tularensis and Coxiella burnetii. Two assay chemistries for amplification and labeling were developed, one method using direct hybridization and the other using target-specific primer extension, combined with hybridization to universal arrays. Asymmetric PCR products for both assay chemistries were produced by using a multiplex asymmetric PCR amplifying 16 DNA signatures (16-plex). The performances of both assay chemistries were compared and their advantages and disadvantages are discussed. The developed microarrays detected multiple signature sequences and an internal control which made it possible to confidently identify the targeted pathogens and assess their virulence potential. The microarrays were highly specific and detected various strains of the targeted pathogens. Detection limits for the different pathogen signatures were similar or slightly higher compared to real-time PCR. Probit analysis showed that even a few genomic copies could be detected with 95% confidence. The microarrays detected DNA from different pathogens mixed in different ratios and from spiked or naturally contaminated samples. The assays that were developed have a potential for application in surveillance and diagnostics.     

Detection of representative enteropathogenic bacteria, Vibrio spp., pathogenic Escherichia coli, Salmonella spp., Shigella spp., and Yersinia enterocolitica, using a virulence factor gene-based oligonucleotide microarray

Rapid identification of enteropathogenic bacteria in stool samples is critical for clinical diagnosis and antimicrobial therapy. In this study, we describe the development of an approach that couples multiplex PCR with hybridization to a DNA microarray, to allow the simultaneous detection of the 10 pathogens. The microarray was synthesized with 20-mer oligonucleotide probes that were designed to be specific for virulence-factor genes of each strain. The detection limit for genomic DNA from a single strain was approximately 10 fg. In the presence of heterogeneous non-target DNA, the detection sensitivity of the array decreased to approximately 100 fg. We did not observe any non-specific hybridization. In addition, we successfully used this oligonucleotide-based DNA microarray to identify the causative agents in clinical stool samples from patients with food-borne enteritis.     

Oligo-chip based detection of tick-borne bacteria

We have developed an oligonucleotide-chip based assay for detection of 16S ribosomal PCR products from tick-borne bacteria. This chip contains 14 specific probes, which target variable regions of 16S rDNA of tick-borne bacteria including Borrellia spp., Rickettsia spp., Anaplasma spp., Coxiella burnetii and Francisella tularensis. The specificity of these probes was tested by hybridization of the chip with fluorescently labeled PCR products amplified from the genomic DNA of selected tick-borne bacteria. The assay was also tested for detection of tick-borne bacteria in single ticks.     

Development and evaluation of 16S rDNA microarray for detecting bacterial pathogens in cerebrospinal fluid

The rapid identification of bacteria in cerebrospinal fluid (CSF) is very important for patient management and antimicrobial therapies. We developed a 16S DNA microarray-based method that targets 16S rDNA and can directly detect bacteria from CSF without cultivation. Universal primers and specific probes were designed from the 16S rDNA sequence data retrieved directly from the GenBank database. The specificity of the assay is obtained through a combination of microarray hybridization and enzymatic labeling of the constructed specific probes. Cultivation-dependent assays were used as reference methods in the development and evaluation of the method. With the exception of Mycobacterium tuberculosis and Proteus mirabilis, forty-five positive blood culture media were successfully differentiated. When this procedure was applied directly to 100 CSF specimens, 29 specimens from 16 patients were positive by bacterial culture and 3 culture-positive CSF specimens produced no hybridized signals. The remaining 26 specimens were correctly identified, including one with mixed infection. The accuracy, sensitivity, and specificity of the assay can be increased further by designing more oligonucleotides for the microarray. This method is versatile and makes it possible to detect more bacteria in a single assay and discriminate different bacterial genera.     

Molecular analysis of Dehalococcoides 16S ribosomal DNA from chloroethene-contaminated sites throughout North America and Europe

The environmental distribution of Dehalococcoides group organisms and their association with chloroethene-contaminated sites were examined. Samples from 24 chloroethene-dechlorinating sites scattered throughout North America and Europe were tested for the presence of members of the Dehalococcoides group by using a PCR assay developed to detect Dehalococcoides 16S rRNA gene (rDNA) sequences. Sequences identified by sequence analysis as sequences of members of the Dehalococcoides group were detected at 21 sites. Full dechlorination of chloroethenes to ethene occurred at these sites. Dehalococcoides sequences were not detected in samples from three sites at which partial dechlorination of chloroethenes occurred, where dechlorination appeared to stop at 1,2-cis-dichloroethene. Phylogenetic analysis of the 16S rDNA amplicons confirmed that Dehalococcoides sequences formed a unique 16S rDNA group. These 16S rDNA sequences were divided into three subgroups based on specific base substitution patterns in variable regions 2 and 6 of the Dehalococcoides 16S rDNA sequence. Analyses also demonstrated that specific base substitution patterns were signature patterns. The specific base substitutions distinguished the three sequence subgroups phylogenetically. These results demonstrated that members of the Dehalococcoides group are widely distributed in nature and can be found in a variety of geological formations and in different climatic zones. Furthermore, the association of these organisms with full dechlorination of chloroethenes suggests that they are promising candidates for engineered bioremediation and may be important contributors to natural attenuation of chloroethenes.     

Assessing populations of a disease suppressive microorganism and a plant pathogen using DNA arrays

Understanding the relationships between disease suppressive microbial populations and plant pathogens is essential to develop procedures for effective and consistent disease control. Currently, DNA array technology is the most suitable technique to simultaneously detect multiple microorganisms. Although this technology has been successfully applied for diagnostic purposes, its utility to assess different microbial populations, as a basis for further study of population dynamics and their potential interactions, has not yet been investigated. In this study, a DNA macroarray with multiple levels of phylogenetic specificity was developed to measure population densities of a specific disease suppressive microorganism, Trichoderma hamatum isolate 382, and the plant pathogen Rhizoctonia solani. Amongst others, the DNA array contained genus-, species- and isolate-specific detector oligonucleotides and was optimized for sensitive detection and reliable quantification of the target organisms in potting mix samples. Furthermore, this DNA array was used to quantify disease severity as well as incidence of severe disease based on pathogen population densities in the growing medium. Taking into account the unlimited expanding possibilities of DNA arrays to include detector oligonucleotides for other and more microorganisms, this technique has the potential for studying the population dynamics and ecology of several target populations in a single assay.     

Fluorescent detection of cyanobacterial DNA using bacterial magnetic particles on a MAG-microarray

Bacterial magnetic particles (BMPs) were used for the identification of cyanobacterial DNA. Genus-specific oligonucleotide probes for the detection of Anabaena spp., Microcystis spp., Nostoc spp., Oscillatoria spp., and Synechococcus spp. were designed from the variable region of the cyanobacterial 16S rDNA of 148 strains. These oligonucleotide probes were immobilized on BMPs via streptavidin-biotin conjugation and employed for magnetic-capture hybridization against digoxigenin-labeled cyanobacterial 16S rDNA. Bacterial magnetic particles were magnetically concentrated, spotted in 100-microm-size microwell on MAG-microarray, and the fluorescent detection was performed. This work details the development of an automated technique for the magnetic isolation, the concentration of hybridized DNA, and the detection of specific target DNA on MAG-microarray. The entire process of hybridization and detection was automatically performed using a magnetic-separation robot and all five cyanobacterial genera were successfully discriminated.     

Total bacterial and species-specific 16S rDNA micro-array quantification of complex samples

AIMS: We describe a novel DNA-micro-array-based method that targets 16S rDNA to quantify changes in both the total bacterial DNA and the species-specific DNA composition. METHODS AND RESULTS: Quantifications were achieved by combining competitive PCR for quantifying total bacterial DNA with quantification of species-specific DNA composition based on signature 16S rDNA sequences. We constructed 11 different probes, which were evaluated on 21 different strains, in addition to complex samples. The signals obtained with sequence-specific labelling of the probes corresponded well with what should be expected based on 16S rDNA phylogenetic reconstruction. The quantification of species-specific DNA composition showed that the micro-array approach could be used to accurately determine differential growth of bacteria in mixed samples. We analysed samples containing mixtures of Lactococcus lactis and different species of propionibacteria during a 2-week incubation period. Lactococcus lactis grew fast, reaching a maximum after 12 h, Propionibacterium acidipropionici and Propionibacterium freudenreichii reached a maximum after 48 h, whereas Propionibacterium jensenii showed a slow increase during the whole growth period. The 16S rDNA total bacterial DNA quantification was compared with real-time PCR, absorbance measurements (ABS600) and colony forming units (CFU). CONCLUSION: The accuracy of the array approach was in the same range or better than the alternative techniques. The potential of the 16S rDNA micro-array method was further demonstrated using a liquid cheese model. SIGNIFICANCE AND IMPACT OF THE STUDY: This is to our knowledge the first time quantification of the total bacterial DNA and the species-specific DNA compositions of mixed populations have been achieved in the same assay.     

Waterborne Pathogen Detection by Use of Oligonucleotide-Based Microarrays

A small-oligonucleotide microarray prototype was designed with probes specific for the universal 16S rRNA and cpn60 genes of several pathogens that are usually encountered in wastewaters. In addition to these two targets, wecE-specific oligonucleotide probes were included in the microarray to enhance its discriminating power within the Enterobacteriaceae family. Universal PCR primers were used to amplify variable regions of 16S rRNA, cpn60, and wecE genes directly in Escherichia coli and Salmonella enterica serovar Typhimurium genomic DNA mixtures (binary); E. coli, S. enterica serovar Typhimurium, and Yersinia enterocolitica genomic DNA mixtures (ternary); or wastewater total DNA. Amplified products were fluorescently labeled and hybridized on the prototype chip. The detection sensitivity for S. enterica serovar Typhimurium was estimated to be on the order of 0.1% (10⁴ S. enterica genomes) of the total DNA for the combination of PCR followed by microarray hybridization. The sensitivity of the prototype could be increased by hybridizing amplicons generated by PCR targeting genes specific for a bacterial subgroup, such as wecE genes, instead of universal taxonomic amplicons. However, there was evidence of PCR bias affecting the detection limits of a given pathogen as increasing amounts of a different pathogen were spiked into the test samples. These results demonstrate the feasibility of using DNA microarrays in the detection of waterborne pathogens within mixed populations but also raise the problem of PCR bias in such experiments.     

Distribution and diversity of symbiotic thermophiles, Symbiobacterium thermophilum and related bacteria, in natural environments

Symbiobacterium thermophilum is a tryptophanase-positive thermophile which shows normal growth only in coculture with its supporting bacteria. Analysis of the 16S rRNA gene (rDNA) indicated that the bacterium belongs to a novel phylogenetic branch at the outermost position of the gram-positive bacterial group without clustering to any other known genus. Here we describe the distribution and diversity of S. thermophilum and related bacteria in the environment. Thermostable tryptophanase activity and amplification of the specific 16S rDNA fragment were effectively employed to detect the presence of Symbiobacterium. Enrichment with kanamycin raised detection sensitivity. Mixed cultures of thermophiles containing Symbiobacterium species were frequently obtained from compost, soil, animal feces, and contents in the intestinal tracts, as well as feeds. Phylogenetic analysis and denaturing gradient gel electrophoresis of the specific 16S rDNA amplicons revealed a diversity of this group of bacteria in the environment.     

Employment of 16S rDNA gene sequencing techniques for improved identification of difficult-to-identify bacterial veterinary pathogens

To employ 16S rDNA PCR and automated sequencing techniques to identify a collection of bacterial veterinary pathogens from avian, equine, canine and ovine sources, that have proven difficult to identify, employing conventional cultural techniques. Universal or “broad-range” eubacterial PCR was performed on a collection of 46 difficult-to-identify bacterial isolates originating from clinical veterinary specimens. 16S rDNA PCR was performed using two sets of universal primers to successfully generate a composite amplicon of 1,068 bp, which was sequenced to obtain each isolate’s identity. Sequence analysis was able to identify all isolates examined with relative ease. Where the use of molecular identification methods is justified, such as in outbreak control or bioterrorism in animal health, employment of partial 16S rDNA PCR and sequencing employing universal or “broad-range” 16S rDNA, provides a valuable and reliable method of identification of such pathogens.     

Quantitative assessment of phytopathogenic fungi in various substrates using a DNA macroarray

Detection, identification and quantification of plant pathogens are the cornerstones of preventive plant disease management. To detect multiple pathogens in a single assay, DNA array technology currently is the most suitable technique. However, for sensitive detection, polymerase chain reaction (PCR) amplification before array hybridization is required. To evaluate whether DNA array technology can be used to simultaneously detect and quantify multiple pathogens, a DNA macroarray was designed and optimized for accurate quantification over at least three orders of magnitude of the economically important vascular wilt pathogens Verticillium albo-atrum and Verticillium dahliae. A strong correlation was observed between hybridization signals and pathogen concentrations for standard DNA added to DNA from different origins and for infested samples. While accounting for specific criteria like amount of immobilized detector oligonucleotide and controls for PCR kinetics, accurate quantification of pathogens was achieved in concentration ranges typically encountered in horticultural practice. Subsequently, quantitative assessment of other tomato pathogens (Fusarium oxysporum, Fusarium solani, Pythium ultimum and Rhizoctonia solani) in environmental samples was performed using DNA array technology and correlated to measurements obtained using real-time PCR. As both methods of quantification showed a very high degree of correlation, the reliability and robustness of the DNA array technology is shown.