Rapid detection, characterization, and enumeration of foodborne pathogens

AI-enabled biosensing for rapid pathogen detection: From liquid food to agricultural water

Rapid pathogen detection in food and agricultural water is essential for ensuring food safety and public health. However, complex and noisy environmental background matrices delay the identification of pathogens and require highly trained personnel. Here, we present an AI-biosensing framework for accelerated and automated pathogen detection in various water samples, from liquid food to agricultural water. A deep learning model was used to identify and quantify target bacteria based on their microscopic patterns generated by specific interactions with bacteriophages. The model was trained on augmented datasets to maximize data efficiency, using input images of selected bacterial species, and then fine-tuned on a mixed culture. Model inference was performed on real-world water samples containing environmental noises unseen during model training. Overall, our AI model trained solely on lab-cultured bacteria achieved rapid (< 5.5 h) prediction with 80-100% accuracy on the real-world water samples, demonstrating its ability to generalize to unseen data. Our study highlights the potential applications in microbial water quality monitoring during food and agricultural processes.

Rapid Real-Time Polymerase Chain Reaction for Salmonella Serotyping Based on Novel Unique Gene Markers by Pangenome Analysis

An accurate diagnostic method for Salmonella serovars is fundamental to preventing the spread of associated diseases. A diagnostic polymerase chain reaction (PCR)-based method has proven to be an effective tool for detecting pathogenic bacteria. However, the gene markers currently used in real-time PCR to detect Salmonella serovars have low specificity and are developed for only a few serovars. Therefore, in this study, we explored the novel unique gene markers for 60 serovars that share similar antigenic formulas and show high prevalence using pangenome analysis and developed a real-time PCR to detect them. Before exploring gene markers, the 535 Salmonella genomes were evaluated, and some genomes had serovars different from the designated serovar information. Based on these analyses, serovar-specific gene markers were explored. These markers were identified as genes present in all strains of target serovar genomes but absent in strains of other serovar genomes. Serovar-specific primer pairs were designed from the gene markers, and a real-time PCR method that can distinguish between 60 of the most common Salmonella serovars in a single 96-well plate assay was developed. As a result, real-time PCR showed 100% specificity for 199 Salmonella and 29 non-Salmonella strains. Subsequently, the method developed was applied successfully to both strains with identified serovars and an unknown strain, demonstrating that real-time PCR can accurately detect serovars of strains compared with traditional serotyping methods, such as antisera agglutination. Therefore, our method enables rapid and economical Salmonella serotyping compared with the traditional serotyping method.

Nucleic acid lateral flow assay for simultaneous detection of hygiene indicator bacteria

A simple and rapid polymerase chain reaction (PCR)-based lateral flow assay (LFA) was developed for multiplex detection of hygiene indicator bacteria. Specifically, new PCR primers were designed for accurately detecting Escherichia coli, coliform bacteria, and total bacteria, and the results obtained as a colorimetric signal (generated by the accumulation of gold nanoparticles at distinct test zones on flow strips) could be identified by the naked eye in <10 min after the completion of PCR. The proposed LFA system did not exhibit any cross-reactivities with 8 distinct bacterial strains and can detect down to 1 colony forming unit (CFU)/mL. Furthermore, three species of cultured bacteria (Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa) inoculated onto sterilized ham were successfully analyzed using the LFA system, which demonstrated that this system shows sufficient sensitivity and specificity for food hygiene monitoring. The speed and simplicity of this LFA make it suitable for use in the food industry as part of routine screening analysis.

Usability as a guiding principle for the design of paper-based, point-of-care devices - A review

Due to their portability, versatility for supporting multiple assay formats, and potential for resulting in low-cost assays, paper-based analytical devices (PADs) are an increasingly popular format as a platform for the development of point-of-care tests. However, very few PADs have been translated successfully to their intended environments outside of academic settings. Often overlooked as a factor that inhibits translation, usability is a vital characteristic of any successful point-of-care test. Recent advancements in PAD design have demonstrated improved usability by simplifying various aspects of user operation, including sample collection, sample processing, device operation, detection, and readout/interpretation. Field testing at various stages of device design can offer critical feedback about device usability, especially when it involves the proposed end-user or other stakeholders. By highlighting advances in usability, we aim to encourage thoughtful and rigorous design at the academic prototyping stage to address one outstanding hurdle that limits the number of PADs that make it from the benchtop to the point-of-care.

A Multicenter Proposal for a Fast Tool To Screen Biosecure Chicken Flocks for the Foodborne Pathogen Campylobacter

The present multicenter study aimed at assessing the performance of air sampling as a novel method for monitoring Campylobacter in biosecure poultry farms. We compared, using a harmonized procedure, the bacteriological isolation protocol (ISO 10272-1:2017) and a real-time PCR method used on air filter samples. Air samples and boot swabs were collected from 62 biosecure flocks from five European countries during the summer of 2019. For air filters, the frequency of PCR-positive findings was significantly higher (n = 36; 58%) than that obtained with the cultivation methods (P < 0.01; standardized residuals). The cultivation protocols (one with Bolton enrichment and one with Preston enrichment) were comparable to each other but returned fewer positive samples (0 to 8%). The association between type of sample and frequency of PCR-positive findings was statistically confirmed (P < 0.01; Fisher´s exact test), although no culture-positive air filters were detected using direct plating. For the boot swabs, the highest number of positive samples were detected after enrichment in Preston broth (n = 23; 37%), followed by direct plating after homogenization in Preston (n = 21; 34%) or Bolton broth (n = 20; 32%). It is noteworthy that the flocks in Norway, a country known to have low Campylobacter prevalence in biosecure chicken flocks, tested negative for Campylobacter by the new sensitive approach. In conclusion, air sampling combined with real-time PCR is proposed as a multipurpose, low-cost, and convenient screening method that can be up to four times faster and four times more sensitive than the current boot-swab testing scheme used for screening biosecure chicken production.IMPORTANCE Campylobacter bacteria are the cause of the vast majority of registered cases of foodborne illness in the industrialized world. In fact, the bacteria caused 246,571 registered cases of foodborne illness in 2018, which equates to 70% of all registered cases in Europe that year. An important tool to prevent campylobacters from making people sick is good data on where in the food chain the bacterium is present. The present study reports a new test method that quadruples the likelihood of identifying campylobacter-positive chicken flocks. It is important to identify campylobacter-positive flocks before they arrive at the slaughterhouse, because negative flocks can be slaughtered first in order to avoid cross-contamination along the production line.

Multiple PCR assay based on the cigR gene for detection of Salmonella spp. and Salmonella Pullorum/Gallinarum identification

Salmonella spp. are important zoonotic pathogens that are responsible for severe diseases in both animals and humans. Salmonella enterica subsp. enterica serovar Gallinarum biovar Gallinarum (S. Gallinarum) and biovar Pullorum (S. Pullorum) are typical infectious pathogens detected in the chicken industry that have caused great economic losses. To facilitate their detection and prevent contamination, we developed a rapid multiple PCR method, which can simultaneously detect Salmonella spp. and further identify the biovars S. Pullorum/Gallinarum. This PCR detection method is based on the cigR gene, which is conserved among Salmonella spp. but has a 42-bp deletion in S. Pullorum/Gallinarum. The specificity and sensitivity of the PCR assay was evaluated with 41 different strains: 34 Salmonella strains, including 5 S. Pullorum/Gallinarum strains, and 7 non-Salmonella strains. The lower limit of detection was 8.15 pg of S. Pullorum (S06004) genomic DNA and 20 cfu in PCR, which shows a great sensitivity. In addition, this method was applied to detect or identify Salmonella from processing chicken liver and egg samples, and the results corresponded to those obtained from serotype analysis using the conventional slide agglutination test. Overall, the new cigR-based PCR assay is efficient and practical for Salmonella detection and S. Pullorum/Gallinarum identification and will greatly reduce the workload of epidemiologic investigation.

Electrochemical impedimetric biosensors for food safety

Electrochemical impedimetric biosensors (EIBs) have a simple structure and can be used to rapidly and sensitively detect and measure hazards in food. EIBs detect and measure target molecules by transducing biochemical reactions on their surface to electrical signal outputs responding to a sinusoidal electrical signal input. Due to their structural simplicity and analytical sensitivity, EIBs are regarded as the most potent method of food hazard monitoring that can be implemented in the food supply chain. This paper discusses the theoretical background, structure, and construction of EIB and its applications in food safety.

A One-Pot Toolbox Based on Cas12a/crRNA Enables Rapid Foodborne Pathogen Detection at Attomolar Level

Bacterial contamination accounts for more than half of food poisoning cases. Conventional methods such as colony-counting and general polymerase chain reaction are time-consuming, instrument-dependent, and sometimes not accurate. Herein, we developed a novel one-pot toolbox with precision and ultra sensitivity (OCTOPUS) platform for foodborne pathogen detection based on the mechanism in which Cas12a nontarget binding unleashes its collateral DNase activity. We demonstrated its application on two widespread foodborne bacteria, namely, E. coli O157:H7 and Streptococcus aureus, using specific crRNA targeting rfbE and nuc gene, respectively. For better sensitivity, recombinase polymerase amplification (RPA) was integrated without product purification. This one-pot detection, that is, RPA reagent, crRNA, and ssDNA-FQ reporter are all in one tube with the subsequent addition of Cas12a enzyme, was able to detect genomic DNA at the attomolar level. It omits an extra cap-opening process to avoid practical inconvenience and possible cross-sample contamination. Moreover, we demonstrated this platform for a real food matrix. A simple water boiling method for genome extraction together with one-pot assay achieved a limit of detection value of 1 CFU/mL in less than 50 min. This OCTOPUS technique integrates bacterial genome extraction, preamplification based on RPA, and Cas12a/crRNA cleavage assay.

High-Throughput 16S rRNA Sequencing to Assess Potentially Active Bacteria and Foodborne Pathogens: A Case Example in Ready-to-Eat Food

Technologies to detect the entire bacterial diversity spectra and foodborne pathogens in food represent a fundamental advantage in the control of foodborne illness. Here, we applied high-throughput 16S rRNA sequencing of amplicons obtained by PCR and RT-PCR from extracted DNA and RNA targeting the entire bacterial community and the active bacterial fraction present in some of the most consumed and distributed ready-to-eat (RTE) salad brands in Europe. Customer demands for RTE food are increasing worldwide along with the number of associated foodborne illness and outbreaks. The total aerobic bacterial count in the analyzed samples was in the range of 2-4 × 10⁶ CFU/g (SD ± 1.54 × 10⁶). Culture validated methods did not detect Salmonella spp., Escherichia coli, and other fecal coliforms. 16S rRNA gene Illumina next-generation sequencing (NGS) data were congruent with these culture-based results and confirmed that these and other well-known foodborne bacterial pathogens, such as Listeria, were not detected. However, the fine-resolution of the NGS method unveiled the presence of the opportunistic pathogens Aeromonas hydrophyla and Rahnella aquatilis (relative frequency of 1.33-7.33%) that were metabolically active in addition to non-pathogenic, active members of Yersinia spp. (relative frequency of 0.0015-0.003%). The common ail and foxA marker genes of Yersinia enterocolitica were not detected by qPCR. Finally, our NGS data identified to non-pathogenic Pseudomonas spp. as the most abundant and metabolically active bacteria in the analyzed RTE salads (53-75% of bacterial abundance). Our data demonstrate the power of sequencing, in parallel, both 16S rRNA and rDNA to identify and discriminate those potentially and metabolically active bacteria and pathogens to provide a more complete view that facilitates the control of foodborne diseases, although further work should be conducted to determine the sensitivity of this method for targeting bacteria.

Improving the Detection Accuracy and Time for Campylobacter jejuni and Campylobacter coli in Naturally Infected Live and Slaughtered Chicken Broilers Using a Real-Time Fluorescent Loop-Mediated Isothermal Amplification Approach

Rapid and accurate identification of Campylobacter-positive broiler flocks and carcasses expedites separation and control interventions before release into the food supply chain and directly facilitates a reduction in the prevalence of human campylobacteriosis. In this study, the diagnostic performance of fluorescent loop-mediated isothermal amplification (LAMP) assays for the direct detection of Campylobacter jejuni and Campylobacter coli in broiler cloacal and cecal samples were evaluated and compared with that of turbidimetric LAMP approaches investigated previously. The duplex fluorescent LAMP assay had significantly higher ( P < 0.05) diagnostic sensitivity (93.1%, 54 of 58 samples) than did the turbidimetric LAMP assay (82.8%, 48 of 58 samples) for detecting C. jejuni and C. coli in broiler cloacal samples, whereas the singleplex fluorescent LAMP assay had equivalent diagnostic sensitivity. For cecal samples, the diagnostic sensitivity of the fluorescent LAMP assay (100%, 38 of 38 samples) was the same as that of the turbidimetric LAMP. Fluorescent LAMP significantly reduced ( P < 0.05) the maximum detection time for Campylobacter-positive cloacal and cecal samples to 28 and 11 min, respectively, and reduced the influence of amplification inhibitors responsible for most false-negative results obtained for cloacal samples with the turbidimetric LAMP assay. The diagnostic accuracy of the fluorescent LAMP assay for the direct detection of C. jejuni and C. coli in cloacal and cecal samples was 97.7 and 100%, respectively. These findings indicate that fluorescent LAMP assays are robust, highly accurate, and field-applicable methods for the identification of C. jejuni and C. coli, which will allow more accurate monitoring of food safety at various stages of the food supply chain at farms and slaughter facilities.

Identification and Discrimination of Salmonella enterica Serovar Gallinarum Biovars Pullorum and Gallinarum Based on a One-Step Multiplex PCR Assay

Salmonella enterica serovar Gallinarum biovars Pullorum (S. Pullorum) and Gallinarum (S. Gallinarum) can result in pullorum disease and fowl typhoid in avian species, respectively, and cause considerable economic losses in poultry in many developing countries. Conventional Salmonella serotyping is a time-consuming, labor-intensive and expensive process, and the two biovars cannot be distinguished using the traditional serological method. In this study, we developed a rapid and reliable one-step multiplex polymerase chain reaction (PCR) assay to simultaneously identify and discriminate the biovars Pullorum and Gallinarum. The multiplex PCR method focused on three specific genes, stn, I137_08605 and ratA. Based on bioinformatics analysis, we found that gene I137_08605 was present only in S. Pullorum and S. Gallinarum, and a region of difference in ratA was deleted only in S. Pullorum after comparison with that of S. Gallinarum and other Salmonella serovars. Three pairs of primers specific for the three genes were designed for the multiplex PCR system and their selectivity and sensitivity were determined. The multiplex PCR results showed that S. Pullorum and S. Gallinarum could be identified and discriminated accurately from all tested strains including 124 strains of various Salmonella serovars and 42 strains of different non-Salmonella pathogens. In addition, this multiplex PCR assay could detect a minimum genomic DNA concentration of 67.4 pg/μL, and 100 colony forming units. The efficiency of the multiplex PCR was evaluated by detecting natural-occurring Salmonella isolates from a chicken farm. The results demonstrated that the established multiplex PCR was able to identify S. Gallinarum and S. Pullorum individually, with results being consistent with traditional serotyping and biochemical testing. These results demonstrated that a highly accurate and simple biovar-specific multiplex PCR assay could be performed for the rapid identification and discrimination of Salmonella biovars Gallinarum and Pullorum, which will be useful, particularly under massive screening situations.

Molecular-based identification and detection of Salmonella in food production systems: current perspectives

Salmonella remains a prominent cause of foodborne illnesses and can originate from a wide range of food products. Given the continued presence of pathogenic Salmonella in food production systems, there is a consistent need to improve identification and detection methods that can identify this pathogen at all stages in food systems. Methods for subtyping have evolved over the years, and the introduction of whole genome sequencing and advancements in PCR technologies have greatly improved the resolution for differentiating strains within a particular serovar. This, in turn, has led to the continued improvement in Salmonella detection technologies for utilization in food production systems. In this review, the focus will be on recent advancements in these technologies, as well as potential issues associated with the application of these tools in food production. In addition, the recent and emerging research developments on Salmonella detection and identification methodologies and their potential application in food production systems will be discussed.

A rapid method to identify Salmonella enterica serovar Gallinarum biovar Pullorum using a specific target gene ipaJ

Salmonella enterica serovar Gallinarum biovar Pullorum (S. Pullorum) is the pathogen of pullorum disease, which leads to severe economic losses in many developing countries. Traditional methods to identify S. enterica have relied on biochemical reactions and serotyping, which are time-consuming with accurate identification if properly carried out. In this study, we developed a rapid polymerase chain reaction (PCR) method targeting the specific gene ipaJ to detect S. Pullorum. Among the 650 S. Pullorum strains isolated from 1962 to 2016 all over China, 644 strains were identified to harbour ipaJ gene in the plasmid pSPI12, accounting for a detection rate of 99.08%. Six strains were ipaJ negative because pSPI12 was not found in these strains according to whole genome sequencing results. There was no cross-reaction with other Salmonella serotypes, including Salmonella enterica serovar Gallinarum biovar Gallinarum (S. Gallinarum), which show a close genetic relationship with S. Pullorum. This shows that the PCR method could distinguish S. Gallinarum from S. Pullorum in one-step PCR without complicated biochemical identification. The limit of detection of this PCR method was as low as 90 fg/μl or 10² CFU, which shows a high sensitivity. Moreover, this method was applied to identify Salmonella isolated from the chicken farm and the results were consistent with what we obtained from biochemical reactions and serotyping. Together, all the results demonstrated that this one-step PCR method is simple and feasible to efficiently identify S. Pullorum.

Brotes de enfermedades transmitidas por los alimentos estudiados mediante técnicas moleculares

Objetivo Aplicar una técnica de reacción en cadena de la polimerasa (PCR) múltiple en tiempo real para la detección de Salmonella spp., Listeria monocytogenes y Yersinia enterocolitica, como herramienta de apoyo diagnóstico en la vigilancia de brotes de enfermedad transmitida por alimentos.Materiales y Métodos Se aplicó la metodología molecular en muestras clínicas provenientes de individuos que estaban asociados a brotes de enfermedad transmitida por alimentos de dos departamentos de Colombia. Los resultados se compararon con los datos arrojados por la metodología convencional de cultivo. Adicionalmente a los aislamientos obtenidos se les evaluó relación clonal mediante la técnica de electroforesis de campo pulsado (PFGE).Resultados Se determinó un total de 123 casos de enfermedad transmitida por alimentos de los cuales 45 muestras biológicas fueron confirmadas por laboratorio y 88 mediante nexo epidemiológico. La metodología molecular detectó 35/45 muestras positivas frente a 17/45 muestras positivas detectadas mediante la metodología convencional. La PFGE demostró relación clonal en cada brote.Conclusión Los resultados del estudio demuestran la aplicabilidad de la técnica molecular como herramienta útil de apoyo diagnóstico en la caracterización de brotes de enfermedad transmitida por alimentos, permitiendo una respuesta oportuna y confiable.

Foodomics and Food Safety: Where We Are

The power of foodomics as a discipline that is now broadly used for quality assurance of food products and adulteration identification, as well as for determining the safety of food, is presented. Concerning sample preparation and application, maintenance of highly sophisticated instruments for both high-performance and high-throughput techniques, and analysis and data interpretation, special attention has to be paid to the development of skilled analysts. The obtained data shall be integrated under a strong bioinformatics environment. Modern mass spectrometry is an extremely powerful analytical tool since it can provide direct qualitative and quantitative information about a molecule of interest from only a minute amount of sample. Quality of this information is influenced by the sample preparation procedure, the type of mass spectrometer used and the analyst's skills. Technical advances are bringing new instruments of increased sensitivity, resolution and speed to the market. Other methods presented here give additional information and can be used as complementary tools to mass spectrometry or for validation of obtained results. Genomics and transcriptomics, as well as affinity-based methods, still have a broad use in food analysis. Serious drawbacks of some of them, especially the affinity-based methods, are the cross-reactivity between similar molecules and the influence of complex food matrices. However, these techniques can be used for pre-screening in order to reduce the large number of samples. Great progress has been made in the application of bioinformatics in foodomics. These developments enabled processing of large amounts of generated data for both identification and quantification, and for corresponding modeling.

Towards diagnostic metagenomics of Campylobacter in fecal samples

Background

The development of diagnostic metagenomics is driven by the need for universal, culture-independent methods for detection and characterization of pathogens to substitute the time-consuming, organism-specific, and often culture-based laboratory procedures for epidemiological source-tracing. Some of the challenges in diagnostic metagenomics are, that it requires a great next-generation sequencing depth and unautomated data analysis.

Results

DNA from human fecal samples spiked with 7.75 × 10¹−7.75 × 10⁷ colony forming unit (CFU)/ml Campylobacter jejuni and chicken fecal samples spiked with 1 × 10²–1 × 10⁶ CFU/g Campylobacter jejuni was sequenced and data analysis was done by the metagenomic tools Kraken and CLARK. More hits were obtained at higher spiking levels, however with no significant linear correlations (human samples p = 0.12, chicken samples p = 0.10). Therefore, no definite detection limit could be determined, but the lowest spiking levels found positive were 7.75 × 10⁴ CFU/ml in human feces and 10³ CFU/g in chicken feces. Eight human clinical fecal samples with estimated Campylobacter infection loads from 9.2 × 10⁴–1.0 × 10⁹ CFU/ml were analyzed using the same methods. It was possible to detect Campylobacter in all the clinical samples.

Conclusions

Sensitivity in diagnostic metagenomics is improving and has reached a clinically relevant level. There are still challenges to overcome before real-time diagnostic metagenomics can replace quantitative polymerase chain reaction (qPCR) or culture-based surveillance and diagnostics, but it is a promising new technology.

Next generation sequencing-based multigene panel for high throughput detection of food-borne pathogens

Contamination of food by chemicals or pathogenic bacteria may cause particular illnesses that are linked to food consumption, commonly referred to as foodborne diseases. Bacteria are present in/on various foods products, such as fruits, vegetables and ready-to-eat products. Bacteria that cause foodborne diseases are known as foodborne pathogens (FBPs). Accurate detection methods that are able to reveal the presence of FBPs in food matrices are in constant demand, in order to ensure safe foods with a minimal risk of causing foodborne diseases. Here, a multiplex PCR-based Illumina sequencing method for FBP detection in food matrices was developed. Starting from 25 bacterial targets and 49 selected PCR primer pairs, a primer collection called foodborne pathogen - panel (FPP) consisting of 12 oligonucleotide pairs was developed. The FPP allows a more rapid and reliable identification of FBPs compared to classical cultivation methods. Furthermore, FPP permits sensitive and specific FBP detection in about two days from food sample acquisition to bioinformatics-based identification. The FPP is able to simultaneously identify eight different bacterial pathogens, i.e. Listeria monocytogenes, Campylobacter jejuni, Campylobacter coli, Salmonella enterica subsp. enterica serovar enteritidis, Escherichia coli, Shigella sonnei, Staphylococcus aureus and Yersinia enterocolitica, in a given food matrix at a threshold contamination level of 10¹cell/g. Moreover, this novel detection method may represent an alternative and/or a complementary approach to PCR-based techniques, which are routinely used for FBP detection, and could be implemented in (parts of) the food chain as a quality check.

Evaluation of the performance of quantitative detection of the Listeria monocytogenes prfA locus with droplet digital PCR

Fast and reliable pathogen detection is an important issue for human health. Since conventional microbiological methods are rather slow, there is growing interest in detection and quantification using molecular methods. The droplet digital polymerase chain reaction (ddPCR) is a relatively new PCR method for absolute and accurate quantification without external standards. Using the Listeria monocytogenes specific prfA assay, we focused on the questions of whether the assay was directly transferable to ddPCR and whether ddPCR was suitable for samples derived from heterogeneous matrices, such as foodstuffs that often included inhibitors and a non-target bacterial background flora. Although the prfA assay showed suboptimal cluster formation, use of ddPCR for quantification of L. monocytogenes from pure bacterial cultures, artificially contaminated cheese, and naturally contaminated foodstuff was satisfactory over a relatively broad dynamic range. Moreover, results demonstrated the outstanding detection limit of one copy. However, while poorer DNA quality, such as resulting from longer storage, can impair ddPCR, internal amplification control (IAC) of prfA by ddPCR, that is integrated in the genome of L. monocytogenes ΔprfA, showed even slightly better quantification over a broader dynamic range.

Graphical Abstract

Nucleic acid-based biotechnologies for food-borne pathogen detection using routine time-intensive culture-based methods and fast molecular diagnostics

Diseases caused by food-borne pathogens constitute a major burden to consumers, food business operators, and national governments. Bacterial and viral pathogens are the major biotic factors influencing food safety. A vast array of culture dependent analytical methods and protocols have been developed. Recently, nucleic acid-based methods have begun to replace or complement culture-based methods for routine use in food control laboratories. Basic advantages provided by nucleic acid-based technologies are faster speed and more information, such as sub-species identification, antibiotic resistance, and food microbiology. In particular, PCR and alternative methods have been developed to a stage that provides good speed, sensitivity, specificity, and reproducibility with minimized risk of carryover contamination. This review briefly summarizes currently available and developing molecular technologies that may be candidates for involvement in microbiological molecular diagnostic methods in the next decade.

Single-channel multiplexing without melting curve analysis in real-time PCR

Multiplex real-time PCR with quantification of targets in a single fluorescence channel has been the demand in biotechnology industry. Here, we develop a novel analytical real-time PCR technique to detect multiple targets in a single fluorescence channel without melting curve analysis. In this technique, we show the intensity of the fluorescence signals of two discrete Tm targets is different at certain temperatures called detection temperatures, by which a high Tm target can be detected regardless of a low Tm target. We then identify the low Tm target by utilizing a change of the fluorescence signals between two different detection temperatures. Furthermore, it enables us to determine quantification of each target in a single channel, possibly facilitating convenient patient care for drug treatment in clinics.

Rapid detection of Staphylococcus aureus by loop-mediated isothermal amplification

Staphylococcus aureus, including methicillin-resistant S. aureus (MRSA), is a major bacterial pathogen associated with nosocomial and community-acquired S. aureus infections all over the world. A rapid detection assay for staphylococcal gene of nuc and mecA is needed. In this study, a rapid identification assay based on the loop-mediated isothermal amplification (LAMP) method was established. PCR and LAMP assays were used to detect Staphylococcus aureus and other related species for nuc and mecA. With optimization of the primers and reaction temperature, the LAMP successfully amplified the genes under isothermal conditions at 62 °C within 60 min, of which the results were identical with those of the conventional PCR methods. The detection limits of the LAMP for nuc and mecA were 1.47 and 14.7 pg/μl DNA per tube, respectively, by naked eye inspections, while the detection limits of the PCR for nuc and mecA were 14.7 pg/μl and 147 pg/μl DNA, respectively. Finally, The LAMP method was then applied to clinical blood plaque samples. The LAMP and PCR demonstrated identical results for the plaque samples with the culture assay. Together, the LAMP offers an alternative detection assay for nuc and mecA with a great advantage of the sensitivity and rapidity.

A decade with nucleic acid-based microbiological methods in safety control of foods

In the last decade, nucleic acid-based methods gradually started to replace or complement the culture-based methods and immunochemical assays in routine laboratories involved in food control. In particular, real-time polymerase chain reaction (PCR) was technically developed to the stage of good speed, sensitivity and reproducibility, at minimized risk of carry-over contamination. Basic advantages provided by nucleic acid-based methods are higher speed and added information, such as subspecies identification, information on the presence of genes important for virulence or antibiotic resistance. Nucleic acid-based methods are attractive also to detect important foodborne pathogens for which no classical counterparts are available, namely foodborne pathogenic viruses. This review briefly summarizes currently available or developing molecular technologies that may be candidates for involvement in microbiological molecular methods in the next decade. Potential of nonamplification as well as amplification methods is discussed, including fluorescent in situ hybridization, alternative PCR chemistries, alternative amplification technologies, digital PCR and nanotechnologies.

Antimicrobial susceptibility assays in paper-based portable culture devices

To detect antibiotic-resistant bacteria in areas remote from microbiology laboratories, we designed portable culture devices performing an analogue of the Kirby-Bauer disk diffusion test inside patterned papers embedded in tape. We quantified the antibiotic susceptibility of several strains of Escherichia coli and Salmonella typhimurium by measuring blue-colored zones of inhibited growth.

Infectious Diseases

The objectives of this chapter are to provide a brief understanding of the following:1.

Clinical evaluation of infectious diseases and altered immune disorders, including physical examination and laboratory studies

2.

Various infectious disease processes, including etiology, pathogenesis, clinical presentation, and management

3.

Commonly encountered altered immune disorders, including etiology, clinical presentation, and management

4.

Precautions and guidelines that a physical therapist should implement when treating a patient with an infectious disease process or altered immunity

Development of direct real-time PCR system applicable to a wide range of foods and agricultural products

To improve the efficiency of DNA analysis of foods and agricultural products, we investigated a direct real-time PCR based on the real-time monitoring of DNA amplification directly from crude cell lysates of analytical samples. We established a direct real-time PCR system comprising sample pretreatment with a specified lysis buffer and real-time PCR using the developed master mix reagent. No PCR inhibition was observed in the analysis of crude cell lysates from 50 types of samples, indicating that the direct real-time PCR system is applicable to a wide range of materials. The specificity of the direct real-time PCR was evaluated by means of a model assay system for single nucleotide discrimination. Even when crude cell lysates coexisted in the reaction mixtures, the primer selectivity was not affected, suggesting that the sequence specificity of the direct real-time PCR was equivalent to that of PCR from purified DNA templates. We evaluated the sensitivity and quantitative performance of the direct real-time PCR using soybean flour samples including various amounts of genetically modified organisms. The results clearly showed that the direct real-time PCR system provides sensitive detection and precise quantitation.

Real-time PCR-based rapid and culture-independent detection of Salmonella in dairy milk--addressing some core issues

In this study, methodologies were developed for cost-effective, rapid and user-friendly culture-independent detection of Salmonella in milk by real-time PCR. The SYBR Green-based real-time PCR assay was standardized with primers targeting the Salmonella enterotoxin gene (stn) that have been earlier used for its detection by conventional PCR. Inclusivity tests generated the specific amplifications with a Tm corresponding to 81 ± 0·5°C. The specificity of the reaction was evaluated with a panel of 36 non-Salmonella strains. Standard curves generated, with different number of cells of this organism in milk, depicted the detection of five cells with a CT value of 37·17 (SD 0·43). To make the assays user-friendly and suitable for field applications, protocols were also established for the immobilization of the SYBR Green reaction mixes in the reaction tubes. The immobilized master mixes were stable at 25°C for 4 months and at 8°C for over 6 months. Total DNA was prepared from 150 samples of full-fat dairy milk and subjected to real-time PCR detection wherein 31 samples tested positive for Salmonella. The time of analysis was <5 h.

The trade network in the dairy industry and its implication for the spread of contamination

In case of an outbreak of a foodborne disease, administrative decisions in the context of crisis management are only efficient if they follow standard practices and are specifically adapted to the outbreak situation in a timely manner. These goals are hard to achieve. The complexity of national and global trade structures obscures a clear view of trade flows and, consequently, it is often impossible to unravel complex trade links quickly. Furthermore, increasing public concerns about possible health hazards caused by global trade put additional pressure on decision makers. The aim of this paper was to unveil the specific trade structures of the German milk supply chain, to highlight how these structures could affect the spatial spread of a hypothetical contaminant, and to quantify the risk of the contaminant reaching the consumer. To achieve this goal, the vertical and horizontal trade links between milk producers, dairies, and consumers were taken into account. The horizontal flow of milk between dairies (inter-dairy trade), which is intended to compensate a temporary over- or undersupply of milk, is of special importance in this respect. We hypothesized that the extent of inter-dairy trade would significantly influence the spatial spread of contaminated milk and the contamination risk. This hypothesis was tested using a computer simulation model that predicts the hypothetical spread of a contaminant via trade of milk. The model parameters were estimated using trade data collected in 2004 and 2010. The results of our study indicate that inter-dairy trade significantly influenced the contamination risk. Compared with a scenario with no inter-dairy trade, the risk that contaminated milk will reach the consumer was up to 4 times higher, even with moderate inter-dairy trade. The contamination risk depended on the extent of inter-dairy trade in a nonlinear way and reached its maximum asymptotically when inter-dairy trade increased. The contamination risk exhibited considerable spatial variation, which could be utilized to implement more accurate food control interventions in times of crisis caused by a foodborne disease.

Multiplex T-RFLP allows for increased target number and specificity: detection of Salmonella enterica and six species of Listeria in a single test

A multiplex T-RFLP test was developed to detect and identify Salmonella enterica and all six species of Listeria inoculated into milk at minimal levels. Extensive in silico analysis was used to design a fifteen-primer, six-amplimer methodology and in vitro application showed target organism DNA, when amplified individually, yielded the predicted terminal restriction fragments (TRFs) following digestion. Non-target organisms were either not-amplified or yielded TRFs which did not interfere with target identification. Multiple target DNA analysis gave over 86% detection of total TRFs predicted, and this was improved to over 90% detection of total TRFs predicted when only two target DNA extracts were combined analysed. Co-inoculation of milk with five strains each of the target species of S. enterica and L. monocytogenes, along with five strains of the non-target species E. coli was followed by enrichment in SEL medium for M-TRFLP analysis. This allowed for detection of both target species in all samples, with detection of one S. enterica and two Listeria TRFs in all cases, and detection of a second S. enterica TRF in 91% of cases. This was from an initial inoculum of <5 cfu per 25 ml milk with a background of competing E. coli present, and gave a result from sampling of under 20 hours. The ability to increase target species number without loss of sensitivity means that extensive screening can be performed at reduced cost due to a reduction in the number of tests required.