Development and validation of an oligonucleotide microarray to characterise ectomycorrhizal fungal communities

Background  

In forest ecosystems, communities of ectomycorrhizal fungi (ECM) are influenced by several biotic and abiotic factors. To understand their underlying dynamics, ECM communities have been surveyed with ribosomal DNA-based sequencing methods. However, most identification methods are both time-consuming and limited by the number of samples that can be treated in a realistic time frame. As a result of ongoing implementation, the array technique has gained throughput capacity in terms of the number of samples and the capacity for parallel identification of several species. Thus far, although phylochips (microarrays that are used to detect species) have been mostly developed to trace bacterial communities or groups of specific fungi, no phylochip has been developed to carry oligonucleotides for several ectomycorrhizal species that belong to different genera.     

Portable system for microbial sample preparation and oligonucleotide microarray analysis

We have developed a three-component system for microbial identification that consists of (i) a universal syringe-operated silica minicolumn for successive DNA and RNA isolation, fractionation, fragmentation, fluorescent labeling, and removal of excess free label and short oligonucleotides; (ii) microarrays of immobilized oligonucleotide probes for 16S rRNA identification; and (iii) a portable battery-powered device for imaging the hybridization of fluorescently labeled RNA fragments with the arrays. The minicolumn combines a guanidine thiocyanate method of nucleic acid isolation with a newly developed hydroxyl radical-based technique for DNA and RNA labeling and fragmentation. DNA and RNA can also be fractionated through differential binding of double- and single-stranded forms of nucleic acids to the silica. The procedure involves sequential washing of the column with different solutions. No vacuum filtration steps, phenol extraction, or centrifugation is required. After hybridization, the overall fluorescence pattern is captured as a digital image or as a Polaroid photo. This three-component system was used to discriminate Escherichia coli, Bacillus subtilis, Bacillus thuringiensis, and human HL60 cells. The procedure is rapid: beginning with whole cells, it takes approximately 25 min to obtain labeled DNA and RNA samples and an additional 25 min to hybridize and acquire the microarray image using a stationary image analysis system or the portable imager.     

Development and application of an oligonucleotide microarray for the detection of food-borne bacterial pathogens

The rapid and accurate detection and identification of food-borne pathogenic bacteria is critical for food safety. In this paper, we describe a rapid (<4 h) high-throughput detection and identification system that uses universal polymerase chain reaction (PCR) primers to amplify a variable region of bacterial the 16S rRNA gene, followed by reverse hybridization of the products to species-specific oligonucleotide probes on a chip. This procedure was successful in discriminating 204 strains of bacteria from pure culture belonging to 13 genera of bacteria. When this method was applied directly to 115 strains of bacteria isolated from foods, 112/115 (97.4%) were correctly identified; two strains were indistinguishable due to weak signal, while one failed to produce a PCR product. The array was used to detect and successfully identify two strains of bacteria from food poisoning outbreak samples, giving results through hybridization that were identical to those obtained by traditional methods. The sensitivity of the microarray assay was 10² CFU of bacteria. Thus, the oligonucleotide microarray is a powerful tool for the detection and identification of pathogens from foods. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

The Hydrogenase Chip: a tiling oligonucleotide DNA microarray technique for characterizing hydrogen-producing and -consuming microbes in microbial communities

We developed a broad-ranging method for identifying key hydrogen-producing and consuming microorganisms through analysis of hydrogenase gene content and expression in complex anaerobic microbial communities. The method is based on a tiling hydrogenase gene oligonucleotide DNA microarray (Hydrogenase Chip), which implements a high number of probes per gene by tiling probe sequences across genes of interest at 1.67 × –2 × coverage. This design favors the avoidance of false positive gene identification in samples of DNA or RNA extracted from complex microbial communities. We applied this technique to interrogate interspecies hydrogen transfer in complex communities in (i) lab-scale reductive dehalogenating microcosms enabling us to delineate key H₂-consuming microorganisms, and (ii) hydrogen-generating microbial mats where we found evidence for significant H₂ production by cyanobacteria. Independent quantitative PCR analysis on selected hydrogenase genes showed that this Hydrogenase Chip technique is semiquantitative. We also determined that as microbial community complexity increases, specificity must be traded for sensitivity in analyzing data from tiling DNA microarrays.     

Development of an oligonucleotide microarray method for Salmonella serotyping

Adequate identification of Salmonella enterica serovars is a prerequisite for any epidemiological investigation. This is traditionally obtained via a combination of biochemical and serological typing. However, primary strain isolation and traditional serotyping is time‐consuming and faster methods would be desirable. A microarray, based on two housekeeping and two virulence marker genes (atpD, gyrB, fliC and fljB), has been developed for the detection and identification of the two species of Salmonella (S. enterica and S. bongori), the five subspecies of S. enterica (II, IIIa, IIIb, IV, VI) and 43 S. enterica ssp. enterica serovars (covering the most prevalent ones in Austria and the UK). A comprehensive set of probes (n = 240), forming 119 probe units, was developed based on the corresponding sequences of 148 Salmonella strains, successfully validated with 57 Salmonella strains and subsequently evaluated with 35 blind samples including isolated serotypes and mixtures of different serotypes. Results demonstrated a strong discriminatory ability of the microarray among Salmonella serovars. Threshold for detection was 1 colony forming unit per 25 g of food sample following overnight (14 h) enrichment.     

Diverse microbial communities in non-aerated compost teas suppress bacterial wilt

Non-aerated compost teas (NCTs) are water extracts of composted organic materials and are used to suppress soil borne and foliar disease in many pathosystems. Greenhouse trials were used to test the effectiveness of NCTs to suppress potato bacterial wilt caused by Ralstonia solanacearum on plants grown in soils inoculated with a virulent isolate of the pathogen (biovar II). NCTs prepared from matured compost sources: agricultural waste (AWCT), vermicompost (VCT) and solid municipal waste (SMWCT) were evaluated at three initial application times (7 days before inoculation, at time of inoculation and 7 days after inoculation) prior to weekly applications, in a randomized complete-block design. AWCT applied initially at the time of inoculation resulted in the greatest disease suppression, with the disease severity index 2.5-fold less than the non-treated plants and the “area under the disease progress curve” (AUDPC) 3.2-fold less. VCT and SMWCT were less suppressive than AWCT regardless of initial application time. Next generation sequencing of the v4 region of 16S rRNA gene and the internal transcribed spacer region (ITS1) revealed that diversity and composition of the bacterial and fungal communities across the NCTs varied significantly. Dominant bacterial phyla such as Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria, Verrucomicrobia, Chloroflexi, Planctomycetes, Acidobacteria, and a fungal phylum Ascomycota were detected in all NCTs. AWCT had optimum physico-chemical measurements with higher bacterial Shannon diversity indices (H) and fungal richness (S) than the other treatments. We conclude that bacterial wilt of potatoes grown in controlled conditions can be suppressed by a non-aerated compost tea with a high microbial diversity when applied at planting and weekly thereafter.     

Hybridization kinetics analysis of an oligonucleotide microarray for microRNA detection

MicroRNA (miRNA) microarrays have been successfully used for profiling miRNA expression in many physiological processes such as development, differentiation, oncogenesis, and other disease processes. Detecting miRNA by miRNA microarray is actually based on nucleic acid hybridization between target molecules and their corresponding complementary probes. Due to the small size and high degree of similarity among miRNA sequences, the hybridization condition must be carefully optimized to get specific and reliable signals. Previously, we reported a microarray platform to detect miRNA expression. In this study, we evaluated the sensitivity and specificity of our microarray platform. After systematic analysis, we determined an optimized hybridization condition with high sensitivity and specificity for miRNA detection. Our results would be helpful for other hybridization-based miRNA detection methods, such as northern blot and nuclease protection assay.     

Development of an oligonucleotide microarray for the detection and monitoring of marine dinoflagellates

Harmful Algal Blooms (HABs), mainly caused by dinoflagellates and diatoms, have great economic and sanitary implications. An important contribution for the comprehension of HAB phenomena and for the identification of risks related to toxic algal species is given by the monitoring programs. In the microscopy-based monitoring methods, harmful species are distinguished through their morphological characteristics. This can be time consuming and requires great taxonomic expertise due to the existence of morphologically close-related species. The high throughput, automation possibility and specificity of microarray-based detection assay, makes this technology very promising for qualitative detection of HAB species. In this study, an oligonucleotide microarray targeted to the ITS1-5.8S-ITS2 rDNA region of nine toxic dinoflagellate species/clades was designed and evaluated. Two probes (45-47 nucleotides in length) were designed for each species/clade to reduce the potential for false positives. The specificity and sensitivity of the probes were evaluated with ITS1-5.8S-ITS2 PCR amplicons obtained from 20 dinoflagellates cultured strains. Cross hybridization experiments confirmed the probe specificity; moreover, the assay showed a good sensitivity, allowing the detection of up to 2 ng of labeled PCR product. The applicability of the assay with field samples was demonstrated using net concentrated seawater samples, un-spiked or spiked with known amounts of cultured cells. Despite the general application of microarray technology for harmful algae detection is not new, a peculiar group of target species/clades has been included in this new-format assay. Moreover, novelties regarding mainly the probes and the target rDNA region have allowed sensitivity improvements in comparison to previously published studies.     

Babesia bovis: the development of an expression oligonucleotide microarray

The availability of a stage-specific Babesia bovis expression profile can facilitate the identification of candidate vaccine antigens. In addition, highly expressed genes during a particular developmental stage may suggest their relevance during that stage. In this study, we generated and validated a custom B. bovis high density oligonucleotide microarray that can be used to examine gene expression levels. An expression profile of in vitro cultured intraerythrocytic stage genes that could be distinguished from contaminating host message was established, and the expression levels of over 1000 genes were ranked. Ranking order was validated using quantitative real time PCR on a twelve randomly selected open reading frames whose expression levels range from the highest to the acceptable lowest. Expression of annotated ORFs was consistent with results from a recently published B. bovis expression sequence tag study. Therefore, we conclude that the microarray is suitable for analyzing B. bovis gene expression, and present the complete B. bovis infected erythrocyte expression profile.     

RNA microarray for estimating relative abundance of 16S rRNA in microbial communities

We developed an RNA microarray protocol in which total RNA from a microbial community was attached to a slide glass, and rRNA was detected by fluorescently labeled oligonucleotide probes. The RNA microarray requires only 4 h for hybridization and enables double staining and estimating relative abundance of rRNA.     

Universal ligation-detection-reaction microarray applied for compost microbes

Background  

Composting is one of the methods utilised in recycling organic communal waste. The composting process is dependent on aerobic microbial activity and proceeds through a succession of different phases each dominated by certain microorganisms. In this study, a ligation-detection-reaction (LDR) based microarray method was adapted for species-level detection of compost microbes characteristic of each stage of the composting process. LDR utilises the specifiCity of the ligase enzyme to covalently join two adjacently hybridised probes. A zip-oligo is attached to the 3'-end of one probe and fluorescent label to the 5'-end of the other probe. Upon ligation, the probes are combined in the same molecule and can be detected in a specific location on a universal microarray with complementary zip-oligos enabling equivalent hybridisation conditions for all probes. The method was applied to samples from Nordic composting facilities after testing and optimisation with fungal pure cultures and environmental clones.     

Methodologies towards the development of an oligonucleotide microarray for determination of Salmonella serotypes

A DNA-based microarray designed to detect somatic (O) and flagellar (H) antigens present in the five most commonly isolated Salmonella serovars within Canada was developed as an alternative to the traditional Kauffmann-White serotyping scheme currently used to serotype salmonellae. Short oligonucleotide probes were designed based on publicly available sequence data of selected genes responsible for O and H antigen biosynthesis. These targets included: antigen-specific sequences within the flagella (H) antigen phase 1 (fliC) and phase 2 (fljB) genes and somatic (O) antigen biosynthesis genes within the rfb cluster (Groups B--rfbJ, C1--wbaA, C2--rfbJ, D1--rfbS). A prototype microarray with 117 O and H antigen-specific probes and controls was used to assess probe performance against two pools of gene target PCR amplicons. A set of 31 of these antigen-specific probes (8 O and 23 H) with high specific signal and low non-specific signal were selected based on t-test (p-value <0.01) and log(2) ratio distribution analysis to create a prototype microarray. The microarray was tested against 16 Salmonella strains of known serotype. Based on the strains tested in this study, these probes successfully identified and differentiated 11 of the 12 antigens targeted. The prototype DNA-based typing microarray described here has the potential to be an automated alternative to the traditional antigen-antibody serotyping scheme currently used for Salmonella.     

Design and verification of a pangenome microarray oligonucleotide probe set for Dehalococcoides spp

Dehalococcoides spp. are an industrially relevant group of Chloroflexi bacteria capable of reductively dechlorinating contaminants in groundwater environments. Existing Dehalococcoides genomes revealed a high level of sequence identity within this group, including 98 to 100% 16S rRNA sequence identity between strains with diverse substrate specificities. Common molecular techniques for identification of microbial populations are often not applicable for distinguishing Dehalococcoides strains. Here we describe an oligonucleotide microarray probe set designed based on clustered Dehalococcoides genes from five different sources (strain DET195, CBDB1, BAV1, and VS genomes and the KB-1 metagenome). This "pangenome" probe set provides coverage of core Dehalococcoides genes as well as strain-specific genes while optimizing the potential for hybridization to closely related, previously unknown Dehalococcoides strains. The pangenome probe set was compared to probe sets designed independently for each of the five Dehalococcoides strains. The pangenome probe set demonstrated better predictability and higher detection of Dehalococcoides genes than strain-specific probe sets on nontarget strains with <99% average nucleotide identity. An in silico analysis of the expected probe hybridization against the recently released Dehalococcoides strain GT genome and additional KB-1 metagenome sequence data indicated that the pangenome probe set performs more robustly than the combined strain-specific probe sets in the detection of genes not included in the original design. The pangenome probe set represents a highly specific, universal tool for the detection and characterization of Dehalococcoides from contaminated sites. It has the potential to become a common platform for Dehalococcoides-focused research, allowing meaningful comparisons between microarray experiments regardless of the strain examined.     

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。     

Design and evaluation of 16S rRNA sequence based oligonucleotide probes for the detection and quantification of Comamonas testosteroni in mixed microbial communities

Background  

The β-proteobacterial species Comamonas testosteroni is capable of biotransformation and also biodegradation of a range of chemical compounds and thus potentially useful in chemical manufacturing and bioremediation. The ability to detect and quantify members of this species in mixed microbial communities thus may be desirable.     

rRNA-targeted寡核苷酸探针识别活性污泥微生物群落结构与功能研究进展

活性污泥中微生物群落内部关系非常复杂 ,及时对活性污泥中优势菌群和群落内部关系进行监测是污水处理中采取正确措施的关键。历史研究表明传统培养方法经常导致活性污泥优势菌群检测的失败 ,而r RNA- targeted寡核苷酸探针作为一种快速原位监测活性污泥微生物群落结构和功能的新工具被引入 ,使我们对参与污水净化的微生物群落结构和优势菌群能有较全面的了解。就该方法在识别除磷污泥、脱氮污泥、污泥泡沫和膨胀污泥中微生物群落结构和功能的典型应用进行综述 ,分析了该方法存在的优点和缺点 ,并对目前已建立且应用于活性污泥微生物检测的 r RNA- targeted寡核苷酸探针进行了详细总结     

Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses

MOTIVATION: Oligonucleotide fingerprinting of ribosomal RNA genes (OFRG) is a procedure that sorts rRNA gene (rDNA) clones into taxonomic groups through a series of hybridization experiments. The hybridization signals are classified into three discrete values 0, 1 and N, where 0 and 1, respectively, specify negative and positive hybridization events and N designates an uncertain assignment. This study examined various approaches for classifying the values including Bayesian classification with normally distributed signal data, Bayesian classification with the exponentially distributed data, and with gamma distributed data, along with tree-based classification. All classification data were clustered using the unweighted pair group method with arithmetic mean. RESULTS: The performance of each classification/clustering procedure was compared with results from known reference data. Comparisons indicated that the approach using the Bayesian classification with normal densities followed by tree clustering out-performed all others. The paper includes a discussion of how this Bayesian approach may be useful for the analysis of gene expression data.     

Innovative instrumentation for microarray scanning and analysis: application for characterization of oligonucleotide duplexes behavior.

Accuracy in microarray technology requires new approaches to microarray reader development. A microarray reader system (optical scanning array or OSA reader) based on automated microscopy with large field of view, high speed 3 axis scanning at multiple narrow-band spectra of excitation light has been developed. It allows fast capture of high-resolution, multi-fluorescence images and is characterized by a linear dynamic range and sensitivity comparable to commonly used photo-multiplier tube (PMT)-based laser scanner. Controlled by high performance software, the instrument can be used for scanning and quantitative analysis of any type of dry microarray. Studies implying temperature-controlled hybridization chamber containing a microarray can also be performed. This enables the registration of kinetics and melting curves. This feature is required in a wide range of on-chip chemical and enzymatic reactions including on-chip PCR amplification. We used the OSA reader for the characterization of hybridization and melting behaviour of oligonucleotide:oligonucleotide duplexes on three-dimensional Code Link slides.     

Multipathogen oligonucleotide microarray for environmental and biodefense applications

Food-borne pathogens are a major health problem. The large and diverse number of microbial pathogens and their virulence factors has fueled interest in technologies capable of detecting multiple pathogens and multiple virulence factors simultaneously. Some of these pathogens and their toxins have potential use as bioweapons. DNA microarray technology allows the simultaneous analysis of thousands of sequences of DNA in a relatively short time, making it appropriate for biodefense and for public health uses. This paper describes methods for using DNA microarrays to detect and analyze microbial pathogens. The FDA-1 microarray was developed for the simultaneous detection of several food-borne pathogens and their virulence factors including Listeria spp., Campylobacter spp., Staphylococcus aureus enterotoxin genes and Clostridium perfringens toxin genes. Three elements were incorporated to increase confidence in the microarray detection system: redundancy of genes, redundancy of oligonucleotide probes (oligoprobes) for a specific gene, and quality control oligoprobes to monitor array spotting and target DNA hybridization. These elements enhance the reliability of detection and reduce the chance of erroneous results due to the genetic variability of microbes or technical problems with the microarray. The results presented demonstrate the potential of oligonucleotide microarrays for detection of environmental and biodefense relevant microbial pathogens.