Development of a DNA microarray chip for the identification of sludge bacteria using an unsequenced random genomic DNA hybridization method

Detection of Alicyclobacillus species in fruit juice using a random genomic DNA microarray chip

This study describes a method using a DNA microarray chip to rapidly and simultaneously detect Alicyclobacillus species in orange juice based on the hybridization of genomic DNA with random probes. Three food spoilage bacteria were used in this study: Alicyclobacillus acidocaldarius, Alicyclobacillus acidoterrestris, and Alicyclobacillus cycloheptanicus. The three Alicyclobacillus species were adjusted to 2 × 10(3) CFU/ml and inoculated into pasteurized 100% pure orange juice. Cy5-dCTP labeling was used for reference signals, and Cy3-dCTP was labeled for target genomic DNA. The molar ratio of 1:1 of Cy3-dCTP and Cy5-dCTP was used. DNA microarray chips were fabricated using randomly fragmented DNA of Alicyclobacillus spp. and were hybridized with genomic DNA extracted from Bacillus spp. Genomic DNA extracted from Alicyclobacillus spp. showed a significantly higher hybridization rate compared with DNA of Bacillus spp., thereby distinguishing Alicyclobacillus spp. from Bacillus spp. The results showed that the microarray DNA chip containing randomly fragmented genomic DNA was specific and clearly identified specific food spoilage bacteria. This microarray system is a good tool for rapid and specific detection of thermophilic spoilage bacteria, mainly Alicyclobacillus spp., and is useful and applicable to the fruit juice industry.

Field scale evaluation of bovine-specific DNA as an indicator of tissue degradation during cattle mortality composting

Currently, mortality compost is managed by temperature as extent of tissue degradation is difficult to assess. In the present study, field-scale mortality compost was constructed with composted brain tissue (Brain) and compost adjacent to brain tissue (CAB) sampled over 230 d. Following genomic DNA extraction, bovine-specific mitochondrial DNA (Mt-DNA) and bacterial 16S rDNA fragments were quantified using real-time PCR. Genomic DNA yield of Brain and CAB decreased rapidly (89-98%) and stabilized after 7 d. Compared to d 0, Brain Mt-DNA rapidly decreased (84-91% reduction on d 7). In CAB, Mt-DNA dramatically increased until d 28 (up to 34,500 times) thereafter decreasing by 77-93% on d 112. Quantification of bovine Mt-DNA indicates tissue degradation was initially characterized by rapid decomposition and release of cell contents into surrounding compost matrix followed by further degradation of Mt-DNA by flourishing microorganisms. Consequently, bovine Mt-DNA copies in compost matrix were reliable indicators of tissue degradation.

A subtractively optimized DNA microarray using non-sequenced genomic probes for the detection of food-borne pathogens

In this study, we present the successful detection of food-borne pathogens using randomly selected non-sequenced genomic DNA probes-based DNA microarray chips. Three food-borne pathogens, Staphylococcus aureus, Salmonella enterica subsp. enterica serovar Typhimurium (S. Typhimurium), and Bacillus cereus, were subjected for the preparation of the DNA microarray probes. Initially, about 50 DNA probes selected randomly from non-sequenced genomic DNA of each pathogen were prepared by using a set of restriction enzyme pairs. The proto-type of DNA microarray chip for detecting three different pathogens simultaneously was fabricated by using those DNA probes prepared for each pathogen. This proto-type DNA microarray has been tested with three target pathogens and additional seven bacteria, and successfully verified with a few cross-hybridized probes. After this primary verification of the DNA microarray hybridization, this proto-type DNA microarray chip was redesigned and successfully optimized by eliminating a few cross-hybridized probes. The specificity of this redesigned DNA microarray chip to each pathogen was confirmed without any serious cross-hybridizations, and its multiplexing capability in its pathogen detection was found to be possible. This randomly selected non-sequenced genomic DNA probes-based DNA microarray was successfully proved to be the high-throughput simultaneous detection chip for the detection of food-borne pathogens, without knowing the exact sequence information of the target bacteria. This could be the first fabrication of DNA microarray chip for the simultaneous detection of different kinds of food-borne pathogens.

Identification of Yersinia enterocolitica using a random genomic DNA microarray chip

AIMS

To fabricate a DNA chip containing random fragments of genomic DNA of Yersinia enterocolitica and to verify its diagnostic ability.

METHODS AND RESULTS

A DNA microarray chip was fabricated using randomly fragmented DNA of Y. enterocolitica. Chips were hybridized with genomic DNA extracted from other Y. enterocolitica strains, other Yersinia spp. and bacteria in different genera. Genomic DNA extracted from Y. enterocolitica showed a significantly higher hybridization rate compared with DNA of other Yersinia spp. or bacterial genera, thereby distinguishing it from other bacteria.

CONCLUSIONS

A DNA chip containing randomly fragmented genomic DNA from Y. enterocolitica can detect Y. enterocolitica and clearly distinguish it from other Yersinia spp. and bacteria in different genera.

SIGNIFICANCE AND IMPACT OF THE STUDY

A microarray chip containing randomly fragmented genomic DNA of Y. enterocolitica was fabricated without sequence information, and its diagnostic ability to identify Y. enterocolitica was verified.

Metatranscriptomic analysis of the response of river biofilms to pharmaceutical products, using anonymous DNA microarrays

Pharmaceutical products are released at low concentrations into aquatic environments following domestic wastewater treatment. Such low concentrations have been shown to induce transcriptional responses in microorganisms, which could have consequences on aquatic ecosystem dynamics. In order to test if these transcriptional responses could also be observed in complex river microbial communities, biofilm reactors were inoculated with water from two rivers of differing trophic statuses and subsequently treated with environmentally relevant doses (ng/liter to microg/liter range) of four pharmaceuticals (erythromycin [ER], gemfibrozil [GM], sulfamethazine [SN], and sulfamethoxazole [SL]). To monitor functional gene expression, we constructed a 9,600-feature anonymous DNA microarray platform onto which cDNA from the biofilms was hybridized. Pharmaceutical treatments induced both positive and negative transcriptional responses from biofilm microorganisms. For instance, ER induced the transcription of several stress, transcription, and replication genes, while GM, a lipid regulator, induced transcriptional responses from several genes involved in lipid metabolism. SN caused shifts in genes involved in energy production and conversion, and SL induced responses from a range of cell membrane and outer envelope genes, which in turn could affect biofilm formation. The results presented here demonstrate for the first time that low concentrations of small molecules can induce transcriptional changes in a complex microbial community. The relevance of these results also demonstrates the usefulness of anonymous DNA microarrays for large-scale metatranscriptomic studies of communities from differing aquatic ecosystems.

Implementation of random bacterial genomic DNA microarray chip (RBGDMC) for screening of dominant bacteria in complex cultures

The random bacterial genomic DNA microarray chip (RBGDMC), which was fabricated using random genomic DNA fragments obtained from the fragmentation of bacterial genome by using four different pairs of restriction enzymes, was found to discriminate bacterial species in the same genus and resulted in the determination of dominant bacteria in enriched cultures. The identification of a dominant bacterial species was successfully conducted in the co-culture of three different bacteria using the RBGDMC. In addition, the analysis of the chip data could confirm if any of the selected bacteria is the most abundant or if some bacteria were enriched and became the dominant species within the consortium after the samples were prepared from the repeated cultures of real sludge in a complex medium. This study shows the successful implementation of the RBGDMC for the identification and monitoring of dominant bacteria in complex environmental bacterial communities simply without any PCR amplification of the target nucleic acids.

DNA chip analysis in diverse organisms with unsequenced genomes

Whether for basic research or biotechnology, DNA microarrays have become indispensable tools for studying the transcriptome. Normally, analyses begin with a set of known cDNA sequences to prepare microarray chips specific for a target organism with an extensively sequenced and annotated genome. For many organisms, however, genome programs are not complete or have not been initiated. The present study demonstrates that, whether using homologous or heterologous arrays, the chances of seeing interesting differences are similar. When a specific DNA microarray is not available, the results indicate that a reverse approach based on a heterologous array can be used to probe for interesting differences in gene expression. This may be sufficient in many studies but, if necessary, the genes exhibiting the most significant changes subsequently could be identified by traditional molecular approaches. Such a reverse strategy can provide a convenient and inexpensive approach to probe for significant genetic changes in many diverse studies, to monitor or mine critical biological information for basic or applied research, long before complete sequence data are available.

Use of quantitative and conventional PCR to assess biodegradation of bovine and plant DNA during cattle mortality composting

Understanding mortality composting requires assessing the biodegradation efficacy of carcasses and other materials of animal and plant origin. Biosecure (plastic-wrapped) compost structures were built containing 16 cattle carcasses placed on 40 cm straw and covered with 160-cm of feedlot manure. Compost was collected from depths of 80 and 160 cm (P80, P160) and DNA degradation assessed over 147 days of static composting, and during 180 days of active composting. Residual soft tissues from carcasses were collected on day 147. At P80, copies of a 171-bp bovine mitochondrial DNA (Mt171) and 138-bp plant Rubisco gene fragment (Rub138) were reduced compared to initial copy numbers (CN) by 79% and 99% after 147 days, respectively. At P160, Mt171, and Rub138 decreased compared to initial CN by 20% and 99% by day 147, respectively. After 327 days, degradation of Mt171 increased to 91% compared to initial CN. Compared to fresh tissues, residual tissues at day 147 had a 99% reduction in genomic DNA yield. Yield of DNA was related to copies of a 760-bp bovine mitochondrial fragment (Mt760) which were > 93% reduced at both P80 and P160 after 147 day. Secondary composting improved decomposition of bovine tissues and Mt760 was not detectable after 207 days. A 99% reduction in genomic DNA of composted tissue and > 93% reduction of Mt760 suggests almost complete decomposition of carcass soft tissue after 147 days.

'FloraArray' for screening of specific DNA probes representing the characteristics of a certain microbial community

To investigate uncharacterized microbial communities, a custom DNA microarray named 'FloraArray' was developed for screening specific probes that would represent the characteristics of a microbial community. The array was prepared by spotting 2000 plasmid DNAs from a genomic shotgun library of a sludge sample on a DNA microarray. By comparative hybridization of the array with two different samples of genomic DNA, one from the activated sludge and the other from a nonactivated sludge sample of an anaerobic ammonium oxidation (anammox) bacterial community, specific spots were visualized as a definite fluctuating profile in an MA (differential intensity ratio vs. spot intensity) plot. About 300 spots of the array accounted for the candidate probes to represent anammox reaction of the activated sludge. After sequence analysis of the probes and examination of the results of blastn searches against the reported anammox reference sequence, complete matches were found for 161 probes (58.3%) and >90% matches were found for 242 probes (87.1%). These results demonstrate that 'FloraArray' could be a useful tool for screening specific DNA molecules of unknown microbial communities.

Direct identification of chlamydiae from clinical samples using a DNA microarray assay: a validation study

While DNA microarrays have become a widely accepted tool for mRNA expression monitoring, their use in rapid diagnosis of bacterial and viral pathogens is only emerging. So far, insufficient sensitivity and high costs have been the major limiting factors preventing more widespread use of microarray platforms in direct testing of clinical samples. In the present study, a total of 339 samples, among them 293 clinical specimens from animals and humans, were examined by the ArrayTube (AT) DNA microarray assay to detect chlamydial DNA and identify the species of Chlamydia and Chlamydophila involved. Samples included nasal and conjunctival swabs, formalin-fixed, paraffin-embedded and fresh organ tissue, milk, feces and cell culture. Notably, the AT test was shown to detect mixed infections in clinical samples. The calculated median sensitivity of 0.81 over the entire panel of clinical samples was comparable to conventional 16S PCR, but slightly lower than real-time PCR and other PCR assays. However, when a panel of long-time stored swab samples was excluded from the calculation, the sensitivity was clearly higher (0.87) and equivalent to that of real-time PCR. Altogether, the data demonstrate the suitability of this DNA microarray assay for routine diagnosis.

Impact of prehybridization PCR amplification on microarray detection of nitrifying bacteria in wastewater treatment plant samples

A gel-based microarray that included a set of 26 oligonucleotide probes targeting all nitrifying bacteria at varying levels of specificity suggested the presence of targeted microorganisms when hybridized to RNA isolated from a wastewater treatment plant, but could not discriminate between perfectly matched and mismatched sequences due in part to low signal intensity. To enhance sensitivity and improve discrimination, polymerase chain reaction was used to selectively amplify the 16S rRNA genes of specific nitrifier groups. RNA transcribed from these DNA templates was hybridized to the microarray and thermal dissociation analysis was used to characterize the specificity of hybridization. Amplification with Nitrospira-specific primers resulted in the selective amplification of this target group, confirmed by both a significant increase in signal intensity and a melting profile identical to the reference RNA. In contrast, Nitrobacter was not detected in the environmental samples with probe Nbac1000 despite pre-amplification with Nitrobacter-specific primers, indicating the absence of strains containing this Nitrobacter-specific sequence. Pre-amplification using primers specific for beta-Proteobacterial ammonia-oxidizing bacteria resulted in a significant increase in signal intensity for probe Nso190, but melting profiles for probe Nso190 showed a slight deviation between amplified RNA and the reference microorganism, suggesting that the amplification products contained some sequences that varied by a single nucleotide difference in the probe target region.

Microarray applications in microbial ecology research

Microarray technology has the unparalleled potential to simultaneously determine the dynamics and/or activities of most, if not all, of the microbial populations in complex environments such as soils and sediments. Researchers have developed several types of arrays that characterize the microbial populations in these samples based on their phylogenetic relatedness or functional genomic content. Several recent studies have used these microarrays to investigate ecological issues; however, most have only analyzed a limited number of samples with relatively few experiments utilizing the full high-throughput potential of microarray analysis. This is due in part to the unique analytical challenges that these samples present with regard to sensitivity, specificity, quantitation, and data analysis. This review discusses specific applications of microarrays to microbial ecology research along with some of the latest studies addressing the difficulties encountered during analysis of complex microbial communities within environmental samples. With continued development, microarray technology may ultimately achieve its potential for comprehensive, high-throughput characterization of microbial populations in near real time.

An electronic DNA microarray technique for detection and differentiation of viable Campylobacter species

An electronic oligonucleotide microarray technique was developed for detection and differentiation of the viable Campylobacter species, C. jejuni, C. coli, and C. lari. This development consisted of four major components: identification of single nucleotide polymorphisms (SNPs) within the hsp60 gene as species markers, design of fluorescently labelled SNP-based reporters, development of an electronic microarray detection, and application of the integrated technique to analysis of Campylobacter species in food samples. A unique capability of this technique is the specific detection of viable cells and not dead ones. This is achieved by using mRNA of the 60 kDa heat-shock protein as the viability marker. The identification of two unique SNPs closely located at positions 291 and 294 of the hsp60 gene enabled the differentiation of the three Campylobacter species. This technique was able to detect as few as two viable Campylobacter cells. The analysis of 19 blind Campylobacter samples showed 100% agreement with their identities obtained using pulsed-field gel electrophoresis. The analysis of six chicken samples revealed the presence of C. coli in one of the samples.

Optimized DNA microarray assay allows detection and genotyping of single PCR-amplifiable target copies

This study was conducted to determine the detection limit of an optimized DNA microarray assay for detection and species identification of chlamydiae. Examination of dilution series of a plasmid standard carrying the target sequence from Chlamydia trachomatis and genomic DNA of this organism revealed that a single PCR-amplifiable target copy was sufficient to obtain a specific hybridization pattern. This performance renders the test suitable for routine testing of clinical samples.