Detection of bacterial pathogens in municipal wastewater using an oligonucleotide microarray and real-time quantitative PCR

As a first step toward building a comprehensive microarray, two low density DNA microarrays were constructed and evaluated for the accurate detection of wastewater pathogens. The first one involved the direct hybridization of wastewater microbial genomic DNA to the functional gene probes while the second involved PCR amplification of 23S ribosomal DNA. The genomic DNA microarray employed 10 functional genes as detection targets. Sensitivity of the microarray was determined to be approximately 1.0 microg of Esherichia coli genomic DNA, or 2 x 10(8) copies of the target gene, and only E. coli DNA was detected with the microarray assay using municipal raw sewage. Sensitivity of the microarray was enhanced approximately by 6 orders of magnitude when the target 23S rRNA gene sequences were PCR amplified with a novel universal primer set and allowed hybridization to 24 species-specific oligonucleotide probes. The minimum detection limit was estimated to be about 100 fg of E. coli genomic DNA or 1.4 x 10(2) copies of the 23S rRNA gene. The PCR amplified DNA microarray successfully detected multiple bacterial pathogens in wastewater. As a parallel study to verify efficiency of the DNA microarray, a real-time quantitative PCR assay was also developed based on the fluorescent TaqMan probes (Applied Biosystems).     

Microarray detection of food-borne pathogens using specific probes prepared by comparative genomics

In order to design a method for the accurate detection and identification of food-borne pathogens, we used comparative genomics to select 70-mer oligonucleotide probes specific for 11 major food-borne pathogens (10 overlapping probes per pathogen) for use in microarray analysis. We analyzed the hybridization pattern of this constructed microarray with the Cy3-labeled genomic DNA of various food-borne pathogens and other bacteria. Our microarray showed a highly specific hybridization pattern with the genomic DNA of each food-borne pathogen; little unexpected cross-hybridization was observed. Microarray data were analyzed and clustered using the GenePix Pro 6.0 and GeneSpring GX 7.3.1 programs. The analyzed dendrogram revealed the discriminating power of constructed microarray. Each food-borne pathogen clustered according to its hybridization specificity and non-pathogenic species were discriminated from pathogenic species. Our method can be applied to the rapid and accurate detection and identification of food-borne pathogens in the food industry. In addition, this study demonstrates that genome sequence comparison and DNA microarray analysis have a powerful application in epidemiologic and taxonomic studies, as well as in the food safety and biodefense fields.     

Electronic microarray analysis of 16S rDNA amplicons for bacterial detection

Electronic microarray technology is a potential alternative in bacterial detection and identification. However, conditions for bacterial detection by electronic microarray need optimization. Using the NanoChip electronic microarray, we investigated eight marine bacterial species. Based on the 16S rDNA sequences of these species, we constructed primers, reporter probes, and species-specific capture probes. We carried out two separate analyses for longer (533 bp) and shorter (350 and 200 bp) amplified products (amplicons). To detect simultaneously the hybridization signals for the 350- and 200-bp amplicons, we designed a common reporter probe from an overlapping sequence within both fragments. We developed methods to optimize detection of hybridization signals for processing the DNA chips. A matrix analysis was performed for different bacterial species and complementary capture probes on electronic microarrays. Results showed that, when using the longer amplicon, not all bacterial targets hybridized with the complementary capture probes, which was characterized by the presence of false-positive signals. However, with the shorter amplicons, all bacterial species were correctly and completely detected using the constructed complementary capture probes.     

百合病毒的DNA芯片检测技术研究

根据已知的黄瓜花叶病毒,百合无症病毒、百合斑驳病毒基因核苷酸序列,设计引物和探针,制备寡核苷酸芯片。用Cy3标记核苷酸引物,不对称RT-PCR扩增产物与芯片上的寡核苷酸探针杂交,荧光扫描仪检测并分析信号。研究制备的基因芯片能够检测侵染百合的3种重要病毒核酸的特异性荧光信号,该项技术具有特异、灵敏、快速的优点。     

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.     

Sequence versus structure for the direct detection of 16S rRNA on planar oligonucleotide microarrays

A two-probe proximal chaperone detection system consisting of a species-specific capture probe for the microarray and a labeled, proximal chaperone probe for detection was recently described for direct detection of intact rRNAs from environmental samples on oligonucleotide arrays. In this study, we investigated the physical spacing and nucleotide mismatch tolerance between capture and proximal chaperone detector probes that are required to achieve species-specific 16S rRNA detection for the dissimilatory metal and sulfate reducer 16S rRNAs. Microarray specificity was deduced by analyzing signal intensities across replicate microarrays with a statistical analysis-of-variance model that accommodates well-to-well and slide-to-slide variations in microarray signal intensity. Chaperone detector probes located in immediate proximity to the capture probe resulted in detectable, nonspecific binding of nontarget rRNA, presumably due to base-stacking effects. Species-specific rRNA detection was achieved by using a 22-nt capture probe and a 15-nt detector probe separated by 10 to 14 nt along the primary sequence. Chaperone detector probes with up to three mismatched nucleotides still resulted in species-specific capture of 16S rRNAs. There was no obvious relationship between position or number of mismatches and within- or between-genus hybridization specificity. From these results, we conclude that relieving secondary structure is of principal concern for the successful capture and detection of 16S rRNAs on planar surfaces but that the sequence of the capture probe is more important than relieving secondary structure for achieving specific hybridization.     

Sequence versus Structure for the Direct Detection of 16S rRNA on Planar Oligonucleotide Microarrays

A two-probe proximal chaperone detection system consisting of a species-specific capture probe for the microarray and a labeled, proximal chaperone probe for detection was recently described for direct detection of intact rRNAs from environmental samples on oligonucleotide arrays. In this study, we investigated the physical spacing and nucleotide mismatch tolerance between capture and proximal chaperone detector probes that are required to achieve species-specific 16S rRNA detection for the dissimilatory metal and sulfate reducer 16S rRNAs. Microarray specificity was deduced by analyzing signal intensities across replicate microarrays with a statistical analysis-of-variance model that accommodates well-to-well and slide-to-slide variations in microarray signal intensity. Chaperone detector probes located in immediate proximity to the capture probe resulted in detectable, nonspecific binding of nontarget rRNA, presumably due to base-stacking effects. Species-specific rRNA detection was achieved by using a 22-nt capture probe and a 15-nt detector probe separated by 10 to 14 nt along the primary sequence. Chaperone detector probes with up to three mismatched nucleotides still resulted in species-specific capture of 16S rRNAs. There was no obvious relationship between position or number of mismatches and within- or between-genus hybridization specificity. From these results, we conclude that relieving secondary structure is of principal concern for the successful capture and detection of 16S rRNAs on planar surfaces but that the sequence of the capture probe is more important than relieving secondary structure for achieving specific hybridization.     

Rapid quantitative profiling of complex microbial populations

Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities—a ‘census’—is an essential foundation for understanding their biology. To address this problem, we developed, tested and optimized a DNA oligonucleotide microarray composed of 10 462 small subunit (SSU) ribosomal DNA (rDNA) probes (7167 unique sequences) selected to provide quantitative information on the taxonomic composition of diverse microbial populations. Using our optimized experimental approach, this microarray enabled detection and quantification of individual bacterial species present at fractional abundances of <0.1% in complex synthetic mixtures. The estimates of bacterial species abundance obtained using this microarray are similar to those obtained by phylogenetic analysis of SSU rDNA sequences from the same samples—the current ‘gold standard’ method for profiling microbial communities. Furthermore, probes designed to represent higher order taxonomic groups of bacterial species reliably detected microbes for which there were no species-specific probes. This simple, rapid microarray procedure can be used to explore and systematically characterize complex microbial communities, such as those found within the human body.     

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.     

Screening genetically modified organisms using multiplex-PCR coupled with oligonucleotide microarray

In this research, we developed a multiplex polymerase chain reaction (multiplex-PCR) coupled with a DNA microarray system simultaneously aiming at many targets in a consecutive reaction to detect a genetically modified organism (GMO). There are a total of 20 probes for detecting a GMO in a DNA microarray which can be classified into three categories according to their purpose: the first for screening GMO from un-transgenic plants based on the common elements such as promoter, reporter and terminator genes; the second for specific gene confirmation based on the target gene sequences such as herbicide-resistance or insect-resistance genes; the third for species-specific genes which the sequences are unique for different plant species. To ensure the reliability of this method, different kinds of positive and negative controls were used in DNA microarray. Commercial GM soybean, maize, rapeseed and cotton were identified by means of this method and further confirmed by PCR analysis and sequencing. The results indicate that this method discriminates between the GMOs very quickly and in a cost-saving and more time efficient way. It can detect more than 95% of currently commercial GMO plants and the limits of detection are 0.5% for soybean and 1% for maize. This method is proved to be a new method for routine analysis of GMOs.     

Design and application of an oligonucleotide microarray for the investigation of compost microbial communities

A microarray consisting of oligonucleotide probes targeting variable regions of the 16S rRNA gene was designed and tested for the investigation of microbial communities in compost. Probes were designed for microorganisms that have been previously reported in the composting process and for plant, animal and human pathogens. The oligonucleotide probes were between 17 and 25 bp in length and included mostly species-specific sequences. Validation of probe specificity and optimization of hybridization conditions were conducted using fluorescently labeled 16S rRNA gene PCR products of pure culture strains. A labeling method employing a Cy3 or Cy5-labeled forward primer together with a phosphate-conjugated reverse primer for the production of single stranded DNA after a digestion step was optimised and used to label target DNA. A combination of two different DNA extraction methods using both physical and chemical lysis was found to give the best DNA yields. Increased hybridization signal intensities were obtained for probes modified with a 12 mer T-spacer. The microarray was found to have a detection limit of 10(3) cells, although in compost spiking experiments, the detection limit was reduced to 10(5) cells. The application of the microarray to compost samples indicated the presence of Streptococcus, Acinetobacter lwoffii, and Clostridium tetani in various compost samples. The presence of A. lwoffii in those compost samples was confirmed by PCR using primers specific for the organism. The aim of this study was to develop a molecular tool that would allow screening for the presence or absence of different microorganisms within compost samples.     

运用基因芯片技术检测牛、山羊、猪和鸡源性成分

本研究通过对脊椎动物分子标记基因进行序列分析,最终选择线粒体DNA(mtDNA)16S rRNA基因为目标基因,利用一对通用引物,在该引物扩增区间设计了4条特异性基因芯片检测探针及2条质控探针用于对牛、山羊、猪、鸡等4种动物源性成分进行检测。通过对PCR扩增体系及杂交体系的优化,该检测方法能实现对上述4种动物源性成分同时进行快速、准确地检测,具有很好的特异性,灵敏度均达到1pg,最终建立了这4种动物源性基因芯片检测方法。该基因芯片检测技术将为我国进出口饲料中的动物源性成分的鉴别提供新的检测方法和技术支持。     

The microbial detection array combined with random Phi29-amplification used as a diagnostic tool for virus detection in clinical samples

A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR that can identify one or several viruses in one assay. However, a diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for diagnostic analysis of viruses in clinical samples.     

Accurate identification of closely related Dendrobium species with multiple species-specific gDNA probes

About 63 species of Dendrobium are identified in China, making the identification of the origin of a particular Dendrobium species on the consumer market very difficult. We report evaluation of multiple species-specific probes screened from genomic DNA for closely related Dendrobium species identification, based on DNA array hybridization. Fourteen species-specific probes were screened from five closely related Dendrobium species, D. aurantiacum Kerr, D. officinale Kimura et Migo, D. nobile Lindl., D. chrysotoxum Lindl. and D. fimbriatum Hook., based on the SSH-Array technology we developed. Various commercial Dendrobium samples and unrelated samples were definitely identified. The specificity and accuracy of the multiple species-specific probes for species identification was assessed by identifying various commercial Dendrobium samples (Herba Dendrobii). Hybridization patterns of these multiple probes on digested genomic DNAs of Dendrobium species indicated that there are distinct polymorphic sequence fragment in the higher eukaryotes. This is the first report on detection and utilization of multiple species-specific probes of Dendrobium in whole genomic DNA, and this could be useful tools not only for a new technical platform for the closely related species identification but also for epidemiological studies on higher eukaryotes.     

细小病毒B19 Oligo探针设计

利用BLAST软件对细小病毒B19的序列进行序列比对,获得特异序列;利用生物学软件Oligo6.40设计特异性高、Tm值接近、长度均一的Oligo探针。结果获得了13条70bp的Oligo探针,用于芯片打印及细小病毒B19的检测。表明利用BLAST系统和生物学软件Oligo6.40设计细小病毒B19诊断芯片的探针是一种简便而有效的方法。     

采用基因微阵列技术对常见呼吸道病毒进行检测的初步研究

建立一种高通量的基因微阵列检测技术,对常见呼吸道病毒感染进行监控.根据公开发表的8个病毒科38种常见呼吸道病毒的序列,计算其保守区域,设计病毒的特异性检测探针,制备呼吸道病毒检测基因微阵列.利用随机引物PCR方法标记样品中的病毒靶序列,标记产物与基因微阵列上的探针杂交,清洗、扫描后进行结果分析.采用流感病毒、麻疹病毒、腮腺炎病毒和风疹病毒作为报告病毒,并对80例上呼吸道感染患者的咽拭子标本进行验证测试.初步结果表明,该呼吸道病毒微阵列基因芯片检测是可行的,在利用基因微阵列技术对病毒监控方面进行了有益的尝试,得到了有经验的信息.     

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.     

LINE-1 repetitive DNA probes for species-specific cloning from Mus spretus and Mus domesticus genomes.

Mus domesticus and Mus spretus mice are closely related subspecies. For genetic investigations involving hybrid mice, we have developed a set of species-specific oligonucleotide probes based on the detection of LINE-1 sequence differences. LINE-1 is a repetitive DNA family whose many members are interspersed among the genes. In this study, library screening experiments were used to fully characterize the species specificity of four M. domesticus LINE-1 probes and three M. spretus LINE-1 probes. It was found that the nucleotide differences detected by the probes define large, species-specific subfamilies. We show that collaborative use of such probes can be employed to selectively detect thousands of species-specific library clones. Consequently, these probes could be exploited to monitor and access almost any given species-specific region of interest within hybrid genomes.     

制备炭疽芽胞杆菌检测基因芯片的初步研究

建立制备炭疽芽胞杆菌检测基因芯片的技术,并探讨研制检测炭疽芽胞杆菌基因芯片的方法。酶切炭疽芽胞杆菌的毒素质粒和荚膜质粒,通过建立质粒DNA文库的方法获取探针,并打印在经过氨基化修饰的玻片上,制成用于炭疽芽胞杆菌检测的基因芯片。收集了290个阳性克隆探针,制备了检测炭疽芽胞杆菌的基因芯片。提取炭疽芽胞杆菌质粒DNA与基因芯片杂交,经ScanArray Lite芯片阅读仪扫描得到初步的杂交荧光图像。通过分析探针的杂交信号初步筛选出273个基因片段作为芯片下一步研究的探针。