Towards a unified system for detecting waterborne pathogens

Colorimetric bacteria sensing using a supramolecular enzyme-nanoparticle biosensor

Rapid and sensitive detection of pathogens is a key requirement for both environmental and clinical settings. We report here a colorimetric enzyme-nanoparticle conjugate system for detection of microbial contamination. In this approach, cationic gold nanoparticles (NPs) featuring quaternary amine headgroups are electrostatically bound to an enzyme [β-galactosidase (β-Gal)], inhibiting enzyme activity. Analyte bacteria bind to the NP, which releases the β-Gal and restores its activity, providing an enzyme-amplified colorimetric readout of the binding event. Using this strategy, we have been able to quantify bacteria at concentrations of 1 × 10(2) bacteria/mL in solution and 1 × 10(4) bacteria/mL in a field-friendly test strip format.

Preparation of highly luminescent mannose-gold nanodots for detection and inhibition of growth of Escherichia coli

In this paper, we describe a novel, simple, and convenient method for preparing water-soluble biofunctional gold nanodots (Au NDs) for the sensitive and selective detection of Escherichia coli (E. coli) and the inhibition of its growth. We obtained luminescent mannose-capped Au NDs (Man-Au NDs) from as-prepared 2.9-nm Au nanoparticles (Au NPs) and 29,29'-dithio bis(3',6',9',12',15',18'-hexaoxa-nonacosyl α-D-mannopyranoside) (Man-RSSR-Man). To obtain improved quantum yield (>20%), luminescent Man-Au NDs (1.8 nm) were prepared from Au NPs (0.47 μM) and Man-RSSR-Man (2.5 mM) in the presence of sodium borohydride (NaBH(4); 1.0 mM). The highly luminescent properties of Man-Au NDs prepared by the NaBH(4)-assisted method were characterized by UV-vis absorption, photoluminescence, and X-ray photoelectron spectroscopies. The results supported the high-density coverage of the NDs surface by Man-RS ligands. Multivalent interactions between Man-Au NDs and FimH proteins located on the bacterial pili of E. coli resulted in the formation of aggregated cell clusters. After concentrating this agglutinative E. coli from a large-volume cell solution (5 mL), Man-Au NDs were displaced by mannose (100 mM) and stabilized by Man-RSSR-Man (5 mM). Monitoring the luminescence of Man-Au NDs allowed the detection of E. coli at levels as low as 150 CFU/mL. Man-Au NDs were also found to be efficient antibacterial agents, selectively inhibiting the growth of E. coli through Man-Au ND-induced agglutination. Our small-diameter Man-Au NDs, which provided an ultra high ligand density (local concentration) of mannose units for multivalent interactions with E. coli, have great potential for use as an antibacterial agent in other applications.

Evaluation of low-copy genetic targets for waterborne bacterial pathogen detection via qPCR

Recent developments in water quality research have highlighted difficulties in accurately predicting the incidence of pathogens within freshwater based on the viability, culturability and metabolic activity of indicator organisms. QPCR-driven assays are candidates to replace standard culture-based methods, however, protocols suitable for routine use have yet to be sufficiently validated. The objective of this study was to evaluate five oligonucleotide primers sets (ETIR, SINV, exoT, VS1 and ipaH2) for their potential applicability in qPCR assays to detect contamination from five waterborne bacterial pathogens (Escherichia coli O157:H7, Salmonella Typhimurium, Campylobacter jejuni, Pseudomonas aeruginosa, and Shigella flexneri). An enrichment-free qPCR protocol was also tested using S. Typhimurium-seeded source water, combining membrane filtration and mechanical, chemical and enzymatic lysis techniques to recover the bacterial cells. All five primer sets were found to have high specificity and sensitivity for the tested organisms. Four of the primers were able to detect pathogen loads as low as 10 cells/mL while 200 cells/mL of C. jejuni were detectable in pure culture. Although sensitivity decreased in an artificially contaminated environmental matrix, it was still possible to detect as few as 10 S. Typhimurium cells without enrichment. The primers and protocols evaluated in this study have demonstrated potential for further validation for possible application alongside traditional indicator techniques.

Biological approaches for addressing the grand challenge of providing access to clean drinking water

The U.S. National Academy of Engineering (NAE) recently published a document presenting "Grand Challenges for Engineering". This list was proposed by leading engineers and scientists from around the world at the request of the U.S. National Science Foundation (NSF). Fourteen topics were selected for these grand challenges, and at least seven can be addressed using the tools and methods of biological engineering. Here we describe how biological engineers can address the challenge of providing access to clean drinking water. This issue must be addressed in part by removing or inactivating microbial and chemical contaminants in order to properly deliver water safe for human consumption. Despite many advances in technologies this challenge is expanding due to increased pressure on fresh water supplies and to new opportunities for growth of potentially pathogenic organisms.

Feasibility of methods based on nucleic acid amplification techniques to fulfil the requirements for microbiological analysis of water quality

Molecular methods based on nucleic acid recognition and amplification are valuable tools to complement and support water management decisions. At present, these decisions are mostly supported by the principle of end-point monitoring for indicators and a small number of selected measured by traditional methods. Nucleic acid methods show enormous potential for identifying isolates from conventional culture methods, providing data on cultivable and noncultivable micro-organisms, informing on the presence of pathogens in waters, determining the causes of waterborne outbreaks, and, in some cases, detecting emerging pathogens. However, some features of water microbiology affect the performance of nucleic acid-based molecular techniques and thus challenge their suitability for routine water quality control. These features include the variable composition of target water samples, the generally low numbers of target micro-organisms, the variable water quality required for different uses and the physiological status or condition of such micro-organisms. The standardization of these molecular techniques is also an important challenge for its routine use in terms of accuracy (trueness and precision) and robustness (reproducibility and reliability during normal usage). Most of national and international water regulations recommend the application of standard methods, and any new technique must be validated respect to established methods and procedures. Moreover, molecular methods show a high cost-effectiveness value that limits its practicability on some microbial water analyses. However, new molecular techniques could contribute with new information or at least to supplement the limitation of traditional culture-based methods. Undoubtedly, challenges for these nucleic acid-based methods need to be identified and solved to improve their feasibility for routine microbial water monitoring.

Water quality issues and infant diarrhoea in a South American province

In the province of Salta, in the Northwest region of Argentina, almost two-thirds of the population live in absolute poverty, and diseases associated with poverty are rampant. Almost 12% of the total population of the province are children below 5 years of age; almost half of these infants are living in situations where the basic necessities are not available. Primitive sanitary conditions, including widespread contamination of available water supplies with pathogens, contribute to a major public health problem. Infant mortality was 17% higher for Salta than for Argentina as a whole in 2001. A major cause of death for these children is infectious disease, especially respiratory and intestinal diseases. In Salta, more than half of the total population of infants is affected by diarrhoea annually. The infectious pathogens are diverse: bacteria (predominantly in spring and summer), viruses (especially in the winter) and parasites (endemic in some situations). This paper evaluates current methods used to test for the presence of pathogens in drinking water; discusses why these methods are less than adequate; documents an episode of contamination in a local water supply source; and suggests appropriate methods that can be used to better address this major public health issue effectively.

Megacities as sources for pathogenic bacteria in rivers and their fate downstream

Poor sanitation, poor treatments of waste water, as well as catastrophic floods introduce pathogenic bacteria into rivers, infecting and killing many people. The goal of clean water for everyone has to be achieved with a still growing human population and their rapid concentration in large cities, often megacities. How long introduced pathogens survive in rivers and what their niches are remain poorly known but essential to control water-borne diseases in megacities. Biofilms are often niches for various pathogens because they possess high resistances against environmental stress. They also facilitate gene transfers of antibiotic resistance genes which become an increasing health problem. Beside biofilms, amoebae are carriers of pathogenic bacteria and niches for their survival. An overview about our current understanding of the fate and niches of pathogens in rivers, the multitude of microbial community interactions, and the impact of severe flooding, a prerequisite to control pathogens in polluted rivers, is given.

Bioaffinity detection of pathogens on surfaces

The demand for improved technologies capable of rapidly detecting pathogens with high sensitivity and selectivity in complex environments continues to be a significant challenge that helps drive the development of new analytical techniques. Surface-based detection platforms are particularly attractive as multiple bioaffinity interactions between different targets and corresponding probe molecules can be monitored simultaneously in a single measurement. Furthermore, the possibilities for developing new signal transduction mechanisms alongside novel signal amplification strategies are much more varied. In this article, we describe some of the latest advances in the use of surface bioaffinity detection of pathogens. Three major sections will be discussed: (i) a brief overview on the choice of probe molecules such as antibodies, proteins and aptamers specific to pathogens and surface attachment chemistries to immobilize those probes onto various substrates, (ii) highlighting examples among the current generation of surface biosensors, and (iii) exploring emerging technologies that are highly promising and likely to form the basis of the next generation of pathogenic sensors.

Anion-exchange filtration and real-time PCR for the detection of a norovirus surrogate in food

In the present study, nanoalumina filters were used as a sample preparation step for the concentration of a norovirus surrogate (murine norovirus 1) from food, and this was coupled with a two-step, real-time reverse transcriptase PCR for quantification. The nanoalumina medium was provided in a syringe-filter format, and its binding and elution capacities were tested with different buffers. Among the binding buffers tested (0.1 M Tris-HCl [pH 7.0] with 0.1% Tween 80, 0.1% 3-[(3-cholamidopropyl)-dimethyl-ammonio]-1-propanesulfonate, or 1 M NaCl), no significant differences were found in the capture capacity of the nanoalumina filters, which was found to be as high as 99.8% of murine norovirus 1 present in the buffer. Elution of 50% of captured viral particles from the filters was possible by using glycine buffer. The desorption capacity of the binding buffers was tested on different inoculated food surfaces. Recoveries of up to 100% from lettuce, raspberries, strawberries, or mussels were obtained with 0.1 M Tris-HCl (pH 7.0) containing 1 M NaCl by using orbital shaking or pipetting. The latter method was more efficient and gave higher recoveries than did orbital shaking. The combination of an efficient desorption-binding-elution buffer with the high concentration capacity of the nanoalumina medium allowed the detection of 10(1) PFU from inoculated produce and 10(5) PFU from inoculated mussels.

Cross-flow microfiltration system for rapid enrichment of bacteria in water

Permanent monitoring of waterborne pathogens is important for securing the hygiene of water. Enumerating bacteria in water at low concentrations and minute quantities demands rapid and efficient enrichment methods in order to improve the signal-to-noise ratio of subsequent determination methods. In this work an automated cross-flow microfiltration (CFM) system is presented which is usable in the field to concentrate large volumes of environmental water for analytical purposes. It was designed as a rapid enrichment apparatus achieving high recovery and high concentration factors. The efficiency of the CFM system was studied for E. coli spiked in a 10-L tap water sample. By this technique, a 10-L water sample was concentrated by a factor of 200 in 15 min. The high and consistent recovery of 91.3 +/- 5.4% living cells in the concentration range 0.01 and 100 cfu mL(-1) is suitable for rapid enumeration of bacteria in water.

Sequential concentration of bacteria and viruses from marine waters using a dual membrane system

The ability to rapidly and effectively concentrate diverse microbes is an essential component for monitoring water quality at recreational beaches. The purpose of this study was to develop a 0.45 microm pore size dual membrane system, which can sequentially concentrate both viruses and bacteria. The top PVDF membrane was used to filter bacteria by physical straining while the bottom HA membrane retained viruses through adsorption. The recovery of this system was assessed using test organisms: enterococci and somatic coliphage. Volumes of 100 to 400 mL of unspiked and sewage-spiked beach water were filtered through both types of membranes. The PVDF membrane recovered statistically equivalent amounts of enterococci when compared to traditional membranes. All of the coliphage passed through the PVDF membrane, while 22% passed through the HA membrane. Increasing the volume from 100 to 400 mL did not significantly influence recoveries. Up to 35% of coliphage was eluted from the bottom membrane using beef extract solution. Rinsing bottom membranes with 0.5 mmol L(-1) H(2)S0(4) was found to deactivate somatic coliphage. This research demonstrates the potential of using a dual membrane adsorption system for the concentration of both bacteria and viruses from recreational beaches. A proposed bi-layer filtration system can be designed for simultaneous bacteria and virus filtration. Future experiments should focus on measurements utilizing additional bacteria and viruses.

Rapid ultrafiltration concentration and biosensor detection of enterococci from large volumes of Florida recreational water

Monitoring recreational waters for fecal contamination by standard methodologies involves culturing indicator bacteria, such as fecal coliforms and enterococci. Delayed reporting of microbial water quality parameters increases the likelihood of public exposure to pathogens of fecal origin, making the development of rapid methods important for public health protection. A rapid assay for enterococci was developed using a combined ultrafiltration-biosensor procedure. Twelve 100-liter water samples were collected from upper Tampa Bay over a 9-month period. The samples were collected on site by dead-end hollow-fiber ultrafiltration. Postfiltration processing of the initial retentates included sonication and micrometer-level sieve passage to remove interfering particles. Centrifugation was utilized for secondary concentration. Grab samples were collected simultaneously with the ultrafiltered samples. Concentrations of enterococci in all grab and ultrafiltration samples were determined by the standard method (EPA method 1600) for calculation of recovery efficiencies and concentration factors. Levels of enterococci increased twofold in initial retentates and by 4 orders of magnitude in final retentates over ambient concentrations. An aliquot of each final retentate was adsorbed onto polystyrene waveguides for immunoassay analysis of enterococci with a microfluidic fiber optic biosensor, the Raptor. Enterococci were detected when concentrations in the ambient water exceeded the regulatory standard for a single sample (> or =105 CFU/100 ml). The combined ultrafiltration-biosensor procedure required 2.5 h for detection compared to 24 for the standard method. This study demonstrated that enterococci can be detected rapidly using on-site ultrafiltration, secondary concentration, and biosensor analysis.

Nanobiosensors: optofluidic, electrical and mechanical approaches to biomolecular detection at the nanoscale

Next generation biosensor platforms will require significant improvements in sensitivity, specificity and parallelity in order to meet the future needs of a variety of fields ranging from in vitro medical diagnostics, pharmaceutical discovery and pathogen detection. Nano-biosensors, which exploit some fundamental nanoscopic effect in order to detect a specific biomolecular interaction, have now been developed to a point where it is possible to determine in what cases their inherent advantages over traditional techniques (such as nucleic acid microarrays) more than offset the added complexity and cost involved constructing and assembling the devices. In this paper we will review the state of the art in nanoscale biosensor technologies, focusing primarily on optofluidic type devices but also covering those which exploit fundamental mechanical and electrical transduction mechanisms. A detailed overview of next generation requirements is presented yielding a series of metrics (namely limit of detection, multiplexibility, measurement limitations, and ease of fabrication/assembly) against which the various technologies are evaluated. Concluding remarks regarding the likely technological impact of some of the promising technologies are also provided.

Molecular detection and characterization of gastroenteritis viruses occurring naturally in the stream waters of Manaus, central Amazonia, Brazil

To assess the presence of the four main viruses responsible for human acute gastroenteritis in a hydrographic network impacted by a disordered urbanization process, a 1-year study was performed involving water sample collection from streams in the hydrographic basin surrounding the city of Manaus, Amazonas, Brazil. Thirteen surface water sample collection sites, including different areas of human settlement characterized as urban, rural, and primary forest, located in the Tarumã-Açu, São Raimundo, Educandos, and Puraquequara microbasins, were defined with a global positioning system. At least one virus was detected in 59.6% (31/52) of the water samples analyzed, and rotavirus was the most frequent (44.2%), followed by human adenovirus (30.8%), human astrovirus (15.4%), and norovirus (5.8%). The viral contamination observed mainly in the urban streams reflected the presence of a local high-density population and indicated the gastroenteritis burden from pathogenic viruses in the water, principally due to recreational activities such as bathing. The presence of viral genomes in areas where fecal contamination was not demonstrated by bacterial indicators suggests prolonged virus persistence in aquatic environments and emphasizes the enteric virus group as the most reliable for environmental monitoring.

Fecal source tracking, the indicator paradigm, and managing water quality

Fecal source tracking is used because standard methods of measuring fecal contamination in water by enumerating fecal indicator bacteria (FIB) do not identify the sources of the contamination. This paper presents a critical review of source tracking with emphasis on the extent to which methods have been tested (especially in comparison with other methods and/or with blind samples), when methods are applicable, their shortcomings, and their usefulness in predicting public health risk or pathogen occurrence. In addition, the paper discusses the broader question of whether fecal source tracking and fecal indicator monitoring is the best approach to regulate water quality and protect human health. Many fecal source-tracking methods have only been tested against sewage or fecal samples or isolates in laboratory studies (proof of concept testing) and/or applied in field studies where the "real" answer is not known, so their comparative performance and accuracy cannot be assessed. For source tracking to be quantitative, stability of ratios between host-specific markers in the environment must be established. In addition, research is needed on the correlation between host-specific markers and pathogens, and survival of markers after waste treatments. As a result of the exclusive emphasis on FIB in legislation, monitoring has concentrated on FIB and lost sight of pathogens. A more rational approach to regulating water quality would start with available epidemiological data to identify pathogens of concern in a particular water body, and then use targeted pathogen monitoring coupled with targeted fecal source tracking to control them. Baseline monitoring of indicators would become just one tool among many.

Discrimination of bacteria and bacteriophages by Raman spectroscopy and surface-enhanced Raman spectroscopy

Detection of pathogenic organisms in the environment presents several challenges due to the high cost and long times typically required for identification and quantification. Polymerase chain reaction (PCR) based methods are often hindered by the presence of polymerase inhibiting compounds and so direct methods of quantification that do not require enrichment or amplification are being sought. This work presents an analysis of pathogen detection using Raman spectroscopy to identify and quantify microorganisms without drying. Confocal Raman measurements of the bacterium Escherichia coli and of two bacteriophages, MS2 and PRD1, were analyzed for characteristic peaks and to estimate detection limits using traditional Raman and surface-enhanced Raman spectroscopy (SERS). MS2, PRD1, and E. coli produced differentiable Raman spectra with approximate detection limits for PRD1 and E. coli of 10(9) pfu/mL and 10(6) cells/mL, respectively. These high detection concentration limits are partly due to the small sampling volume of the confocal system but translate to quantification of as little as 100 bacteriophages to generate a reliable spectral signal. SERS increased signal intensity 10(3) fold and presented peaks that were visible using 2-second acquisitions; however, peak locations and intensities were variable, as typical with SERS. These results demonstrate that Raman spectroscopy and SERS have potential as a pathogen monitoring platform.

Novel indirect enzyme-linked immunosorbent assay (ELISA) method to detect Total E. coli in water environment

In order to establish ELISA (enzyme-linked immunosorbent assay) method to detect Total E. coli in water environment, E. coli multi-characters antigens in water environment were prepared according to the characters of kinds of E. coli serotypes, including antigen of whole cell, antigen of disrupted whole cell, somatic antigen, flagellar antigen and fimbrial antigen. Total E. coli polyclonal antibodies were obtained from the New Zealand rabbits immunized with these five antigens, respectively. Antibodies generated in this research are with high titers and good purity, can conjugate with antigens, specifically, stably and strongly. Indirect ELISA shows the titers of antibody of whole cell and antibody of disrupted whole cell are both over 1x10(5). The cross-reactivity of the antibody is from 12 to 30% which indicate the specificity of the antibody against Total E. coli. Based on these antibodies, we established indirect ELISA method to detect Total E. coli in water environment. The matrix effects were studied and the results show that there is no significant influence by all the factors. The ELISA result shows that the detection limitation could be 10(4) CFU (colony forming units) L(-1). The indirect ELISA method developed in this study is well suited for Total E. coli analysis in real water samples as a rapid screen method.

Detection of Bacteroidales fecal indicators and the zoonotic pathogens E. coli 0157:H7, salmonella, and campylobacter in river water

Bacteroidales host-specific PCR offers a rapid method of diagnosing fecal pollution in water and identifying sources of input. To assess human health risks from exposure to fecal pathogens, however, Bacteroidales markers should be detectable when pathogens are present. To determine if Bacteroidales general, human-, ruminant-, and swine-specific markers correlate with certain fecal pathogens, we conducted a retrospective study on water samples for which the presence of E. coli O157:H7, Salmonella spp., and Campylobacter spp. had been determined. We found a positive relationship between detection of the Bacteroidales general fecal marker and presence of the pathogens. Detection of ruminant-specific markers predicted E. coli O157: H7 occurrence. There was a significant increase in the likelihood of detecting Salmonella when a ruminant marker was present, and Campylobacter spp. when human markers were present. For pathogens such as E. coli O157: H7 that are strongly associated with particular hosts, Bacteroidales host-specific markers can estimate the likelihood of pathogen occurrence, enabling more accurate health risk assessments.

Virulence factor activity relationships: challenges and development approaches

Virulence factor activity relationships (VFAR) is a predictive approach proposed by the National Research Council's Committee on Drinking Water Contaminants (Washington, D.C.) to classify and rank waterborne pathogens. It is based on the presumption that health threats of waterborne pathogens can be predicted from descriptors at different levels of cellular organization. This paper summarizes challenges that need to be addressed while developing VFAR, with a focus on genomics, such as genomic variability among related pathogens and the need to incorporate genetic descriptors for persistence and host susceptibility. Three key components of VFAR development and validation are also presented, including (1) compilation of a comprehensive VFAR database, (2) development of predictive mathematical models relating descriptors to health effects and other microbial responses, and (3) high-throughput molecular monitoring of drinking water supplies and sources. Bayesian approach and on-chip polymerase chain reaction are discussed as examples of mathematical models and molecular monitoring.

Waterborne norovirus outbreaks

Noroviruses (NoVs) are the most common nonbacterial causative agents of waterborne outbreaks. Due to the mild and short-lived disease of gastroenteritis, even large epidemics may go unnoticed, since patients do not necessarily visit a doctor. NoVs have several means by which to survive both in the environment and in a population. The nonenveloped small virus retains its infectivity in the environment, and particularly in cold water, for a long time. Unlike most enteric viruses, it causes disease both in children and adults. A large number of genotypes combined with a small infective dose and short-term immunity guarantee efficient circulation of these viruses. The world of NoVs has been revealed to us predominantly by molecular methods. Having learned to detect these viruses first in patients, the emphasis is now in searching for methods sensitive enough to find them in environmental samples. In this review, the latest methods and their use in monitoring of these viruses are discussed.

Rapid bacterial identification using evanescent-waveguide oligonucleotide microarray classification

Bacterial identification relies primarily on culture-based methodologies and requires 48-72 h to deliver results. We developed and used i) a bioinformatics strategy to select oligonucleotide signature probes, ii) a rapid procedure for RNA labelling and hybridization, iii) an evanescent-waveguide oligoarray with exquisite signal/noise performance, and iv) informatics methods for microarray data analysis. Unique 19-mer signature oligonucleotides were selected in the 5'-end of 16s rDNA genes of human pathogenic bacteria. Oligonucleotides spotted onto a Ta(2)O(5)-coated microarray surface were incubated with chemically labelled total bacterial RNA. Rapid hybridization and stringent washings were performed before scanning and analyzing the slide. In the present paper, the eight most abundant bacterial pathogens representing >54% of positive blood cultures were selected. Hierarchical clustering analysis of hybridization data revealed characteristic patterns, even for closely related species. We then evaluated artificial intelligence-based approaches that outperformed conventional threshold-based identification schemes on cognate probes. At this stage, the complete procedure applied to spiked blood cultures was completed in less than 6 h. In conclusion, when coupled to optimal signal detection strategy, microarrays provide bacterial identification within a few hours post-sampling, allowing targeted antimicrobial prescription.

Molecular techniques in wastewater: Understanding microbial communities, detecting pathogens, and real-time process control

Traditionally, the detection of pathogens in water, wastewater, and other environmental samples is restricted by the ability to culture such organisms from complex environmental samples. During the last decade the use of molecular methods have supplied the means for examining microbial diversity and detecting specific organisms without the need for cultivation. The application of molecular techniques to the study of natural and engineered environmental systems has increased our insight into the vast diversity and interaction of microorganisms present in complex environments. In this paper, we will review the current and emerging molecular approaches for characterizing microbial community composition and structure in wastewater processes. Recent studies show that advances in microarray assays are increasing our capability of detecting hundreds and even thousands of DNA sequences simultaneously and rapidly. With the current progress in microfluidics and optoelectronics, the ability to automate a detection/identification system is now being realized. The status of such a system for wastewater monitoring is discussed.

Microbial detection in microfluidic devices through dual staining of quantum dots-labeled immunoassay and RNA hybridization

This paper reported the development of a microfludic device for the rapid detection of viable and nonviable microbial cells through dual labeling by fluorescent in situ hybridization (FISH) and quantum dots (QDs)-labeled immunofluorescent assay (IFA). The coin sized device consists of a microchannel and filtering pillars (gap=1-2 microm) and was demonstrated to effectively trap and concentrate microbial cells (i.e. Giardia lamblia). After sample injection, FISH probe solution and QDs-labeled antibody solution were sequentially pumped into the device to accelerate the fluorescent labeling reactions at optimized flow rates (i.e. 1 and 20 microL/min, respectively). After 2 min washing for each assay, the whole process could be finished within 30 min, with minimum consumption of labeling reagents and superior fluorescent signal intensity. The choice of QDs 525 for IFA resulted in bright and stable fluorescent signal, with minimum interference with the Cy3 signal from FISH detection.

An electrochemical RNA hybridization assay for detection of the fecal indicator bacterium Escherichia coli

Monitoring waters for indicator bacteria is required to protect the public from exposure to fecal pollution. Our proof-of-concept study describes a method for detecting fecal coliforms. The coliform Escherichia coli was used as a model fecal indicator. DNA probe-coated magnetic beads in combination with the electrochemical monitoring of the oxidation state of guanine nucleotides should allow for direct detection of bacterial RNA. To demonstrate this concept, we used voltammetry in connection with pencil electrodes to detect isolated E. coli 16S rRNA. Using this approach, 10(7) cells of E. coli were detected in a quantitative, reproducible fashion in 4h. Detection was achieved without a nucleic acid amplification step. The specificity of the assay for coliforms was demonstrated by testing against a panel of bacterial RNA. We also show that E. coli RNA can be detected directly from cell extracts. The method could be used for on-site detection and shows promise for adaptation into automated biosensors for water-quality monitoring.

Molecular epidemiology: A multidisciplinary approach to understanding parasitic zoonoses

Sound application of molecular epidemiological principles requires working knowledge of both molecular biological and epidemiological methods. Molecular tools have become an increasingly important part of studying the epidemiology of infectious agents. Molecular tools have allowed the aetiological agent within a population to be diagnosed with a greater degree of efficiency and accuracy than conventional diagnostic tools. They have increased the understanding of the pathogenicity, virulence, and host-parasite relationships of the aetiological agent, provided information on the genetic structure and taxonomy of the parasite and allowed the zoonotic potential of previously unidentified agents to be determined. This review describes the concept of epidemiology and proper study design, describes the array of currently available molecular biological tools and provides examples of studies that have integrated both disciplines to successfully unravel zoonotic relationships that would otherwise be impossible utilising conventional diagnostic tools. The current limitations of applying these tools, including cautions that need to be addressed during their application are also discussed.

Challenges and opportunities for pathogen detection using DNA microarrays

DNA microarrays offer the potential for simultaneous detection of many pathogens that are of interest to homeland security, public health, medicine, and veterinary diagnostics. These tools are best suited for detecting the presence or absence of genetic sequences characteristic of specific pathogens, but microarrays are poorly suited for determining pathogen viability, and current methods provide only limited potential for pathogen enumeration. Two basic strategies have been described for pathogen detection: using enzymatic amplification to generate targets for interrogation with a microarray, or using direct interrogation of DNA or RNA without pre-amplification. Multiplex PCR has the advantage of a high degree of sensitivity and specificity, but associated microarrays are necessarily limited in scope. PCR-independent, whole-genome amplification eliminates biases inherent in PCR amplification and can accommodate more extensive microarrays, but assay sensitivity is compromised and these methods are probably of limited use when testing tissue samples. Direct hybridization of DNA or RNA provides the least bias in gene detection, but also the lowest level of analytic sensitivity. Ultimately, cost and limited sample throughput make it unlikely that planar microarrays will play a significant role in future pathogen detection schemes. Alternative microarray formats such as bead arrays, however, may circumvent the cost and throughput limitations and permit us to apply what we have learned from planar microarrays to develop robust pathogen detection systems. Assay validation and sample preparation will continue to be significant challenges for these detection systems.

Automated methods for multiplexed pathogen detection

Detection of pathogenic microorganisms in environmental samples is a difficult process. Concentration of the organisms of interest also co-concentrates inhibitors of many end-point detection methods, notably, nucleic acid methods. In addition, sensitive, highly multiplexed pathogen detection continues to be problematic. The primary function of the BEADS (Biodetection Enabling Analyte Delivery System) platform is the automated concentration and purification of target analytes from interfering substances, often present in these samples, via a renewable surface column. In one version of BEADS, automated immunomagnetic separation (IMS) is used to separate cells from their samples. Captured cells are transferred to a flow-through thermal cycler where PCR, using labeled primers, is performed. PCR products are then detected by hybridization to a DNA suspension array. In another version of BEADS, cell lysis is performed, and community RNA is purified and directly labeled. Multiplexed detection is accomplished by direct hybridization of the RNA to a planar microarray. The integrated IMS/PCR version of BEADS can successfully purify and amplify 10 E. coli O157:H7 cells from river water samples. Multiplexed PCR assays for the simultaneous detection of E. coli O157:H7, Salmonella, and Shigella on bead suspension arrays was demonstrated for the detection of as few as 100 cells for each organism. Results for the RNA version of BEADS are also showing promising results. Automation yields highly purified RNA, suitable for multiplexed detection on microarrays, with microarray detection specificity equivalent to PCR. Both versions of the BEADS platform show great promise for automated pathogen detection from environmental samples. Highly multiplexed pathogen detection using PCR continues to be problematic, but may be required for trace detection in large volume samples. The RNA approach solves the issues of highly multiplexed PCR and provides "live vs. dead" capabilities. However, sensitivity of the method will need to be improved for RNA analysis to replace PCR.

Molecular assays for targeting human and bovine enteric viruses in coastal waters and their application for library-independent source tracking

Rapid population growth and urban development along waterways and coastal areas have led to decreasing water quality. To examine the effects of upstream anthropogenic activities on microbiological water quality, methods for source-specific testing are required. In this study, molecular assays targeting human enteroviruses (HEV), bovine enteroviruses (BEV), and human adenoviruses (HAdV) were developed and used to identify major sources of fecal contamination in the lower Altamaha River, Georgia. Two-liter grab samples were collected monthly from five tidally influenced stations between July and December 2002. Samples were analyzed by reverse transcription- and nested-PCR. PCR results were confirmed by dot blot hybridization. Eleven and 17 of the 30 surface water samples tested positive for HAdV and HEV, respectively. Two-thirds of the samples tested positive for either HEV or HAdV, and the viruses occurred simultaneously in 26% of samples. BEV were detected in 11 of 30 surface water samples. Binary logistic regression analysis showed that the presence of both human and bovine enteric viruses was not significantly related to either fecal coliform or total coliform levels. The presence of these viruses was directly related to dissolved oxygen and streamflow but inversely related to water temperature, rainfall in the 30 days preceding sampling, and chlorophyll-a concentrations. The stringent host specificity of enteric viruses makes them good library-independent indicators for identification of water pollution sources. Viral pathogen detection by PCR is a highly sensitive and easy-to-use tool for rapid assessment of water quality and fecal contamination when public health risk characterization is not necessary.

Potential of DNA microarrays for developing parallel detection tools (PDTs) for microorganisms relevant to biodefense and related research needs

Development of parallel detection tools using microarrays is critically reviewed in view of the need for screening multiple microorganisms in a single test. Potential research needs with respect to probe design and specificity, validation, sample concentration, selective target enrichment and amplification, and data analysis are discussed. Data illustrating selected probe design issues for detecting multiple targets in mixed microbial systems is presented. Challenges with respect to cost, time, and ease of use compared to other methods are also summarized.

Concentration and detection of hepatitis A virus and rotavirus in spring water samples by reverse transcription-PCR

Every year, enteric viruses such as hepatitis A virus (HAV), rotaviruses, and noroviruses are responsible for viral gastro-enteritis and hepatitis reported worldwide. These viruses are mostly transmitted via the faecal-oral route, from direct contact between people, or by ingestion of contaminated food and water. Since only a few viral particles may cause disease, detection of low concentration of these viruses in food matrices is usually complex. The development of methods to concentrate viruses from food matrices is crucial in collecting data for the development of control strategies or for diagnostic purposes. In the present study, samples of bottled spring water were inoculated with known amounts of HAV (strain HM-175), and rotaviruses (strain Wa) viral particles and filtered through positively charged membranes. Elution of viruses attached to the membranes was achieved with a tryptose phosphate broth-glycine buffer. Eluates were further concentrated using Microsep 100. Finally, RNA was extracted using the Qiagen RNeasy kit followed by an evaporation step with a SpeedVac instrument. The detection limit by reverse-transcription (RT-PCR) was at least 10(-1) TCID50%/ml and at least 10(-3) TCID50%/ml for HAV and rotavirus, respectively.

Environmental microbiology-on-a-chip and its future impacts

Rapid advances in microfabrication, DNA and protein microarray and microfluidic technologies have enabled the development of fully-integrated, miniaturized systems. These so called 'laboratory-on-a-chip' (LOC) devices perform sample preparation (i.e. concentration, separation and purification) together with biochemical reactions and detection steps in a simple and automated manner. We believe LOC technology for environmental microbiology studies will have immediate impacts on microbial monitoring by achieving detection and identification within minutes at the single-cell level, and on microbial ecology by deepening the understanding of microbial community structure and diversity and correlating these with niche-specific functions within a micro space. In the long run, significant impacts are anticipated on environmental metagenomics and proteomics.

Molecular biology and DNA microarray technology for microbial quality monitoring of water

Public concern over polluted water is a major environmental issue worldwide. Microbial contamination of water arguably represents the most significant risk to human health on a global scale. An important challenge in modern water microbial quality monitoring is the rapid, specific, and sensitive detection of microbial indicators and waterborne pathogens. Presently, microbial tests are based essentially on time-consuming culture methods. Rapid microbiological analyses and detection of rare events in water systems are important challenges in water safety assessment since culture methods present serious limitations from both quantitative and qualitative points of view. To circumvent lengthy culture methods, newer enzymatic, immunological, and genetic methods are being developed as an alternative. DNA microarray technology is a new and promising tool that allows the detection of several hundred or even thousands DNA sequences simultaneously. Recent advances in sample processing and DNA microarray technologies provide new perspectives to assess microbial water quality. The aims of this review are to (1) summarize what is currently known about microbial indicators, (2) describe the most important waterborne pathogens, (3) present molecular methods used to monitor the presence of pathogens in water, and (4) show the potential of DNA microarrays in water quality monitoring.

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.

Establishment of a real-time PCR-based approach for accurate quantification of bacterial RNA targets in water, using Salmonella as a model organism

Quantitative PCR (Q-PCR) is a fast and efficient tool to quantify target genes. In eukaryotic cells, quantitative reverse transcription-PCR (Q-RT-PCR) is also used to quantify gene expression, with stably expressed housekeeping genes as standards. In bacteria, such stable expression of housekeeping genes does not occur, and the use of DNA standards leads to a broad underestimation. Therefore, an accurate quantification of RNA is feasible only by using appropriate RNA standards. We established and validated a Q-PCR method which enables the quantification of not only the number of copies of target genes (i.e., the number of bacterial cells) but also the number of RNA copies. The genes coding for InvA and the 16S rRNA of Salmonella enterica serovar Typhimurium were selected for the evaluation of the method. As DNA standards, amplified fragments of the target genes were used, whereas the same DNA standards were transcribed in vitro for the development of appropriate RNA standards. Salmonella cultures and environmental water samples inoculated with bacteria were then employed for the final testing. Both experimental approaches led to a sensitive, accurate, and reproducible quantification of the selected target genes and RNA molecules by Q-PCR and Q-RT-PCR. It is the first time that RNA standards have been successfully used for a precise quantification of the number of RNA molecules in prokaryotes. This demonstrates the potential of this approach for determining the presence and metabolic activity of pathogenic bacteria in environmental samples.

Comparison of fluorescence and resonance light scattering for highly sensitive microarray detection of bacterial pathogens

Microarrays have emerged as potential tools for bacterial detection and identification. Given their high parallelism, they might represent a breakthrough in current diagnostic methods, provided they can be coupled to simplified labeling protocols and detected with adequate sensitivities. We describe here a technique to directly label total bacterial RNA, thus avoiding the multiple steps and possible biases associated with enzymatic amplification (e.g. PCR). We have then compared the performances of one white-light source and two laser-based fluorescence scanners for detection reliability and sensitivity. Our study reveals that nanoparticle-labeled bacterial RNA generates reproducible resonance light scattering signals that are at least 50 times more intense than state-of-the-art confocal-based fluorescence signals.

Developments in microarray technologies

The focus of high-throughput drug discovery has progressed through the genome and the transcriptome and is now moving towards more difficult problems in assessing the proteome, glycome and metabolome. Microarrays are currently the major tool in the assessment of gene expression via cDNA or RNA analysis; however, they are also used to screen libraries of proteins and small molecules. Microarrays have helped to extract more information from smaller sample volumes and enabled the incorporation of low-cost high-throughput assays in the drug discovery process. The technology continues to develop and is being rapidly transferred into more challenging areas, with the potential to further aid and enhance the drug discovery process through the development of, for example, proteomic, glycomic and tissue arrays.