A systematic review of human norovirus survival reveals a greater persistence of human norovirus RT-qPCR signals compared to those of cultivable surrogate viruses.

Human noroviruses (hNoV) are the single largest cause of acute gastroenteritis in the western world. The efficacy of hNoV control measures remains largely unknown, partly owing to the inability to grow the virus in vitro and partly to the large number of surrogate studies of unknown relevance. A systematic review of the persistence and survival of hNoV in foods and the environment was undertaken based upon PRISMA (preferred reporting items for systematic reviews and meta analyses) guidelines to answer the questions: (1) "What are the natural hNoV persistence characteristics in food and the environment?" and (2) "How can these properties be altered by applying physical and/or chemical treatments to foods or food contact surfaces?" Over 10,000 citations were screened using defined inclusion and exclusion criteria. One hundred and twenty-six (126) citations were identified for further evaluation and data were extracted based upon the conditions of study and treatment (e.g., treatment parameters, pH, and temperature, time, infectivity, and RT-qPCR results). Since the only markers for hNoV persistence and survival were RT-qPCR data and human challenge studies, citations for further analysis were restricted to only those that included data on hNoV behavior (using RT-qPCR) as compared directly to surrogate virus behavior (using both RT-qPCR and infectivity) in the same study, and clinical studies. Based on these criteria, a total of 12 independent studies (5 for thermal inactivation and 7 for available chlorine) and 3 human challenge studies were identified. RT-qPCR always underestimated reductions in surrogate virus titre as a function of treatment when compared to infectivity. The corresponding reductions in RT-qPCR signals for hNoV under comparable conditions were nearly always less than those observed for the surrogates. These relationships were statistically significant for heat when comparing persistence of hNoV RT-qPCR signals with surrogate MNV-1 RT-qPCR signals (P equal persistence=<0.07); and for free chlorine when comparing persistence of hNoV RT-qPCR signals to those of FCV F-9 (p=<0.01). Overall the data suggest that hNoV are frequently more resistant to typical food and environmental control measures compared with cultivable surrogate viruses, when basing data on comparative RT-qPCR results.

Batch testing for noroviruses in frozen raspberries.

Berries, in particular raspberries, have been associated with multiple recalls due to norovirus contamination and were linked to a number of norovirus (NoV) outbreaks. In the present study a total of 130 samples of frozen raspberries were collected from 26 batches in four different raspberry processing companies. In two companies the samples consisted of bulk frozen raspberries serving as raw material for the production of raspberry puree (an intermediate food product in a business to business setting). In two other companies, the samples consisted of bulk individually quick frozen (IQF) raspberries serving as raw material for the production of frozen fruit mixes (as a final food product for consumer). Enumeration of Escherichia coli and coliforms was performed as well as real-time reverse transcription PCR (RT-qPCR) detection of GI and GII NoV (in 2 × 10 g). In addition, in cases where positive NoV GI or GII RT-qPCR signals were obtained, an attempt to sequence the amplicons was undertaken. Six out of 70 samples taken from the 14 batches of frozen raspberries serving raspberry puree production provided a NoV RT-qPCR signal confirmed by sequencing. Four of these six positive samples clustered in one batch whereas the other two positive samples clustered in another batch from the same company. All six positive samples showed NoV RT-qPCR signals above the limit of quantification of the RT-qPCR assay. These two positive batches of frozen raspberries can be classified as being of insufficient sanitary quality. The mean NoV level in 20 g of these raspberry samples was 4.3 log genomic copies NoV GI/20 g. The concern for public health is uncertain as NoV RT-qPCR detection is unable to discriminate between infectious and non-infectious virus particles. For the IQF raspberries, one batch out of 12 tested NoV positive, but only 1 out of the 5 samples analyzed in this batch showed a positive RT-qPCR GI NoV signal confirmed by sequencing. The RT-qPCR signal was below the limit of quantification of the assay used (<3.7 log genomic copies/20g). It was shown that the applied protocol for sequencing of the amplicon to confirm the specificity of the RT-qPCR signal was successful for GI NoV amplicons but often failed and provided an inconclusive result for GII NoV amplicons.

A quantitative exposure model simulating human norovirus transmission during preparation of deli sandwiches.

Human noroviruses (HuNoVs) are a major cause of food borne gastroenteritis worldwide. They are often transmitted via infected and shedding food handlers manipulating foods such as deli sandwiches. The presented study aimed to simulate HuNoV transmission during the preparation of deli sandwiches in a sandwich bar. A quantitative exposure model was developed by combining the GoldSim® and @Risk® software packages. Input data were collected from scientific literature and from a two week observational study performed at two sandwich bars. The model included three food handlers working during a three hour shift on a shared working surface where deli sandwiches are prepared. The model consisted of three components. The first component simulated the preparation of the deli sandwiches and contained the HuNoV reservoirs, locations within the model allowing the accumulation of NoV and the working of intervention measures. The second component covered the contamination sources being (1) the initial HuNoV contaminated lettuce used on the sandwiches and (2) HuNoV originating from a shedding food handler. The third component included four possible intervention measures to reduce HuNoV transmission: hand and surface disinfection during preparation of the sandwiches, hand gloving and hand washing after a restroom visit. A single HuNoV shedding food handler could cause mean levels of 43±18, 81±37 and 18±7 HuNoV particles present on the deli sandwiches, hands and working surfaces, respectively. Introduction of contaminated lettuce as the only source of HuNoV resulted in the presence of 6.4±0.8 and 4.3±0.4 HuNoV on the food and hand reservoirs. The inclusion of hand and surface disinfection and hand gloving as a single intervention measure was not effective in the model as only marginal reductions of HuNoV levels were noticeable in the different reservoirs. High compliance of hand washing after a restroom visit did reduce HuNoV presence substantially on all reservoirs. The model showed that good handling practices such as washing hands after a restroom visit, hand gloving, hand disinfection and surface disinfection in deli sandwich bars were an effective way to prevent HuNoV contamination of the prepared foods, but it also demonstrated that further research is needed to ensure a better assessment of the risk of HuNoV transmission during preparation of foods.

Detection of noroviruses in shellfish and semiprocessed fishery products from a Belgian seafood company.

Shellfish have been implicated in norovirus (NoV) infection outbreaks worldwide. This study presents data obtained from various batches of shellfish and fishery products from a Belgian seafood company over a 6-month period. For the intact shellfish (oysters, mussels, and clams), 21 of 65 samples from 12 of 34 batches were positive for NoVs; 9 samples contained quantitative NoV levels at 3,300 to 14,300 genomic copies per g. For the semiprocessed fishery products (scallops and common sole rolls with scallop fragments), 29 of 36 samples from all eight batches were positive for NoVs; 17 samples contained quantitative NoV levels at 200 to 1,800 copies per g. This convenience study demonstrated the performance and robustness of the reverse transcription quantitative PCR detection and interpretation method and the added value of NoV testing in the framework of periodic control of seafood products bought internationally and distributed by a Belgian seafood processing company to Belgian food markets.

Semi-direct lysis of swabs and evaluation of their efficiencies to recover human noroviruses GI and GII from surfaces.

Enteric viruses such as noroviruses (NoVs) continue to be the cause of widespread viral outbreaks due to person-to-person transmission, contaminated food, and contaminated surfaces. In order to optimize swabbing methodology for the detection of viruses on (food) contact surfaces, three swab elution/extraction strategies were compared in part one of this study, out of which, one strategy was based on the recently launched ISO protocol (ISO/TS 15216-1) for the determination of hepatitis A virus and NoV in food using real-time RT-PCR (RT-qPCR). These three swab elution/extraction strategies were tested for the detection of GI.4 and GII.4 NoV on high-density polyethylene (HD-PE) surfaces with the use of cotton swabs. For detection of GI.4 and GII.4, the sample recovery efficiency (SRE) obtained with the direct lysis strategy (based on ISO/TS 15216-1) was significantly lower than the SRE obtained with both other strategies. The semi-direct lysis strategy was chosen to assess the SRE of two common swabs (cotton swab and polyester swab) versus the biowipe (Biomérieux, Lyon, France) on three surfaces (HD-PE, neoprene rubber (NR), and nitrile gloves (GL)). For both surfaces, HD-PE and GL, no significant differences in SREs of GI.4 and GII.4 NoVs were detected between the three different swabs. For the coarser NR, biowipes turned out to be the best option for detecting both GI.4 and GII.4 NoV.

The need for harmonization in detection of human noroviruses in food.

Noroviruses (NoV) have been recognized worldwide as a leading cause of foodborne gastroenteritis over the last decade. A broad range of foods- shellfish, fresh produce, and ready-to-eat/catered foods-has been implicated in NoV foodborne outbreaks. The recognition of NoV as an important food pathogen has been aided by the development of sensitive molecular methods for detection of the NoV genome. However, despite advances, NoV detection is still hampered by several limitations. First, NoV detection can often only be implemented by expert laboratories due to the complexity of the virus extraction step, which in most protocols is cumbersome and labor-intensive. Moreover, a very wide selection of automated methods for virus extraction from foods is available, so selection of an adequate method is not straightforward. On the other hand, automated systems have been made available or the RNA purification and real-time RT-PCR (RT-qPCR) is considered the gold standard for detection of NoV. Second, correct interpretation of real-time PCR results is often difficult. From a technical point of view, the interpretation of the often nonsigmoidal amplification curves remains difficult, even for experts. From a food safety perspective, interpretation of very high Cq (or Ct) values-and thus, of low viral genomic copy numbers-is not straightforward, as RT-(q)PCR merely detects the presence of viral genomic material that is not necessarily linked to the presence of infectious viral particles. Despite efforts, both limitations have not completely resolved thus far. Harmonization may be a first step to comprehend and deal with these limitations. The current review provides an overview of a number of validated methods that have been published by food safety and other authorities.

Norovirus transfer between foods and food contact materials.

Human infective noroviruses (NoVs) are a worldwide leading cause of foodborne illness and are frequently spread via infected food handlers preparing and manipulating food products such as deli sandwiches. The objective of the current study was to determine the efficiencies whereby NoV could be transferred between surfaces associated with the preparation of manually prepared foods such as deli sandwiches. Nonfood surfaces included gloves and stainless steel discs, and boiled ham, lettuce, and a sandwich bun were the ingredients of the deli sandwich. Both NoV GII.4 and the murine NoV 1 (MNV-1, a cultivable human NoV surrogate) were included in the presented study. Transfer of NoV GII.4 and MNV-1 between surfaces was performed by pressing an inoculated donor surface against an acceptor surface. To evaluate the effect of subsequent contact, donor surfaces were pressed a second time to an identical acceptor surface. Subsequently, NoV GII.4 and MNV-1 were detected using real-time reverse transcription PCR assays and plaque assays, respectively. Transfer of both viruses from gloves to stainless steel was inefficient, and virus transfer from food products to stainless steel occurred with more variability for NoV GII.4 than for MNV-1. Virus transfer from the stainless steel discs to the gloves was substantially more efficient than from the gloves to the stainless steel. NoV GII.4 and MNV-1 transfer from food products to the gloves occurred with varying efficiencies, although this variation was more evident for NoV GII.4. The MNV-1 inoculum was significantly less efficiently transferred to the acceptor surface at the second contact, which was not the case for NoV GII.4. The obtained transfer efficiency data may provide insights into the transfer of NoV during preparation of foods and can be included in risk assessment models describing the transmission of NoVs in this context.

Viral genes everywhere: public health implications of PCR-based testing of foods.

Food borne viruses such as norovirus and hepatitis A virus are increasingly recognized worldwide as the most important cause of food borne gastro-intestinal illness. Food borne outbreaks, often involving multiples cases, have been reported and associated with food products of both animal and non-animal origin. Most foods are contaminated with food borne viruses during preparation and service. However, bivalve molluscs and occasionally produce (in particular leafy vegetables and soft red fruits) may be contaminated during production and processing. Owing to the low infectious dose of these viruses, the presence of few viral particles on the food is often sufficient for an infection. Over the past decade, molecular methods - such as RT-(q)PCR - have therefore been developed for rapid detection of viral contamination on foods. The availability of these detection methods has led to an increased detection of viral contamination in foods. However, RT-(q)PCR and other molecular methods detect the mere presence of an RNA (or DNA) fragment and are unable to differentiate between infectious and non-infectious viral particles in the monitoring of food products for viral contamination which makes interpretation of these results not straightforward. The current review aims to summarize recent efforts made for a more correct interpretation of these positive RT-(q)PCR results. First of all, RT-(q)PCR test results should be analyzed taking into account the results of various appropriate controls in place to assure well-functioning of good laboratory practices. Subsequently, approaches that may aid to facilitate acceptation and that may aid to put RT-(q)PCR positive food products into context from a public health perspective are discussed. These approaches include (1) the use of a critical acceptance limit, (2) the confirmation of positive RT-(q)PCR results and (3) the potential correlation with faecal indicators. Finally, the current review provides insights in a selection of methods currently under development that may be able to facilitate the specific detection of infectious food borne viruses.

Evaluation of viral concentration methods from irrigation and processing water.

Four viral concentration methods were evaluated for their efficiency in recovering murine norovirus-1 (MNV-1) (surrogate for human noroviruses (NoV)) and MS2 bacteriophages from processing water (1L) and four different types of irrigation water (bore hole water, rain water, open well and river water) (2-5L). Three methods were based on the viral adsorption and elution principle, two methods using an electronegative HA-membrane (Katayama et al., 2002), one method using an electropositive Zetapor membrane according to CEN/TC275/WG6/TAG4 and the fourth method was based on size exclusion using a tangential flow filtration system. Detection of MNV-1 was achieved by real-time RT-PCR and detection of MS2 by double-layer plaque assay. For the recovery of MNV-1, the method using an electronegative HA-filter in combination with an elution buffer earlier optimized by Hamza et al. (2009) (Method 1) performed best for all types of water (recovery: 5.8-21.9%). In case of MS2 detection, the best method depended upon the type of water although Method 1 provided the most consistent recovery. To complete this evaluation, the Method 1 was evaluated further for the concentration of human enteric viruses (GI and GII NoV, hepatitis A virus (HAV) and rotaviruses) in the same five types of water. Although detection of rotaviruses (RV) was somewhat less efficient, Method 1 proved reliable for the detection of NoV and HAV in all water types. Mean recovery efficiencies ranging from 4.8% for detection of GI NoV in open well water to 32.1% for detection of HAV in bore hole water, depending on the water type and the viral pathogen analyzed.

Extraction of food-borne viruses from food samples: a review.

Detection of food-borne viruses such as noroviruses, rotaviruses and hepatitis A virus in food products differs from detection of most food-borne bacteria, as most of these viruses cannot be cultivated in cell culture to date. Therefore, detection of food-borne viruses in food products requires multiple steps: first, virus extraction; second, purification of the viral genomic material (RNA for the majority of food-borne viruses); and last, molecular detection. This review is focused on the first step, the virus extraction. All of the numerous published protocols for virus extraction from food samples are based on 3 main approaches: 1) (acid adsorption-) elution-concentration; 2) direct RNA extraction; and 3) proteinase K treatment. This review summarizes these virus extraction approaches and the results obtained from published protocols. The use of process controls is also briefly described.

A review of known and hypothetical transmission routes for noroviruses.

Human noroviruses (NoVs) are considered a worldwide leading cause of acute non-bacterial gastroenteritis. Due to a combination of prolonged shedding of high virus levels in feces, virus particle shedding during asymptomatic infections, and a high environmental persistence, NoVs are easily transmitted pathogens. Norovirus (NoV) outbreaks have often been reported and tend to affect a lot of people. NoV is spread via feces and vomit, but this NoV spread can occur through several transmission routes. While person-to-person transmission is without a doubt the dominant transmission route, human infective NoV outbreaks are often initiated by contaminated food or water. Zoonotic transmission of NoV has been investigated, but has thus far not been demonstrated. The presented review aims to give an overview of these NoV transmission routes. Regarding NoV person-to-person transmission, the NoV GII.4 genotype is discussed in the current review as it has been very successful for several decades but reasons for its success have only recently been suggested. Both pre-harvest and post-harvest contamination of food products can lead to NoV food borne illness. Pre-harvest contamination of food products mainly occurs via contact with polluted irrigation water in case of fresh produce or with contaminated harvesting water in case of bivalve molluscan shellfish. On the other hand, an infected food handler is considered as a major cause of post-harvest contamination of food products. Both transmission routes are reviewed by a summary of described NoV food borne outbreaks between 2000 and 2010. A third NoV transmission route occurs via water and the spread of NoV via river water, ground water, and surface water is reviewed. Finally, although zoonotic transmission remains hypothetical, a summary on the bovine and porcine NoV presence observed in animals is given and the presence of human infective NoV in animals is discussed.

Molecular detection and genotyping of noroviruses.

Noroviruses (NoVs) are a major cause of gastroenteritis worldwide in humans and animals and are known as very infectious viral agents. They are spread through feces and vomit via several transmission routes involving person-to-person contact, food, and water. Investigation of these transmission routes requires sensitive methods for detection of NoVs. As NoVs cannot be cultivated to date, detection of these viruses relies on the use of molecular methods such as (real-time) reverse transcriptase polymerase chain reaction (RT-PCR). Regardless of the matrix, detection of NoVs generally requires three subsequent steps: a virus extraction step, RNA purification, and molecular detection of the purified RNA, occasionally followed by molecular genotyping. The current review mainly focused on the molecular detection and genotyping of NoVs. The most conserved region in the genome of human infective NoVs is the ORF1/ORF2 junction and has been used as a preferred target region for molecular detection of NoVs by methods such as (real-time) RT-PCR, NASBA, and LAMP. In case of animal NoVs, broad range molecular assays have most frequently been applied for molecular detection. Regarding genotyping of NoVs, five regions situated in the polymerase and capsid genes have been used for conventional RT-PCR amplification and sequencing. As the expected levels of NoVs on food and in water are very low and inhibition of molecular methods can occur in these matrices, quality control including adequate positive and negative controls is an essential part of NoV detection. Although the development of molecular methods for NoV detection has certainly aided in the understanding of NoV transmission, it has also led to new problems such as the question whether low levels of human NoV detected on fresh produce and shellfish could pose a threat to public health.

Screening of fruit products for norovirus and the difficulty of interpreting positive PCR results.

Despite recent norovirus (NoV) outbreaks related to consumption of fruit products, little is known regarding the NoV load on these foods. Therefore, 75 fruit products were screened for NoV presence by using an evaluated in-house NoV detection methodology consisting of a NoV extraction method and a reverse transcription quantitative PCR assay. Additionally, the fruit samples were screened for bacterial pathogens and bacterial hygiene indicators. Results of the NoV screening showed that 18 of 75 samples tested positive for GI and/or GII NoV despite a good bacteriological quality. The recovery of murine norovirus 1 virus particles acting as process control was successful in 31 of 75 samples with a mean recovery efficiency of 11.32% ± 6.08%. The level of detected NoV genomic copies ranged between 2.5 and 5.0 log per 10 g. NoV GI and/or GII were found in 4 of 10, 7 of 30, 6 of 20, and 1 of 15 of the tested raspberries, cherry tomatoes, strawberries, and fruit salad samples, respectively. However, confirmation of the positive quantitative PCR results by sequencing genotyping regions in the NoV genome was not possible. Due to the nature of the method used (reverse transcription quantitative PCR) for detection of genomic material, no differentiation was possible between infectious and noninfectious viral particles. No NoV outbreaks related to the tested fruit product types were reported during the screening period, which hampers a conclusion as to whether these unexpected high numbers of NoV-positive results should be perceived as a public health threat. These results, however, may indicate a prior NoV contamination of the tested food samples throughout the fresh produce chain.

Evaluation of a norovirus detection methodology for ready-to-eat foods.

Despite recent norovirus (NoV) foodborne outbreaks related to consumption of ready-to-eat (RTE) foods, a standardized assay to detect NoV in these foods is not available yet. Therefore, the robustness of a methodology for NoV detection in RTE foods was evaluated. The NoV detection methodology consisted of direct RNA extraction with an eventual concentration step, followed by RNA purification and a multiplex RT-qPCR assay for the detection of GI and GII NoV and the murine norovirus-1 (MNV-1), the latter used as process control. The direct RNA extraction method made use of the guanidine-isothiocyanate containing reagent (Tri-reagent®, Ambion) to extract viral RNA from the food sample (basic protocol called TriShort), followed by an eventual concentration step using organic solvents (extended protocol called TriConc). To evaluate the robustness of the NoV detection method, the influence of (1) the NoV inoculum level and (2) different food types on the recovery of NoV from RTE foods was investigated. Simultaneously, the effect of two RNA purification methods (manual RNeasy minikit (Qiagen) and automated NucliSens EasyMAG (BioMérieux)) on the recovery of NoV from these foods was examined. Finally, MNV-1 was evaluated as process control. First of all, high level GI and GII NoV inocula (~106 NoV genomic copies/10 g) could be recovered from penne salad samples (10 g) in at least 4 out of 6 PCRs, while low level GI and GII NoV inocula (~104 NoV genomic copies/10 g) could be recovered from this food product in maximally 3 out 6 PCRs, showing a significant influence of the NoV inoculum level on its recovery. Secondly, low level GI and GII NoV inocula (104 NoV genomic copies/10 g) were spiked onto 22 ready-to-eat food samples (10 g) classified in three categories (soups, deli sandwiches and composite meals). The GI and GII NoV inocula could be recovered from 20 of the 22 samples. The TriConc protocol provided better recoveries of GI and GII NoV for soups while the TriShort protocol yielded better results for the recovery of GII NoV from composite meals. NoV recovery from deli sandwiches was problematic using either protocol. Thirdly, the simultaneous comparison of two RNA purification protocols demonstrated that automated RNA purification performed equally or better compared to manual RNA extraction. Finally, MNV-1 was successfully evaluated as process control when detecting NoV in RTE foods using this detection methodology. In conclusion, the evaluated NoV detection method was capable of detecting NoV in RTE foods, although recoveries were influenced by the inoculum level and by the food type.

Evaluation of a norovirus detection methodology for soft red fruits.

In the present study, a proposed methodology for detection of GI and GII noroviruses (NoV) in soft red fruits was evaluated. The murine norovirus-1 (MNV-1), a recently described cultivable NoV surrogate was integrated in the detection methodology as full process control, reverse transcription control and real-time PCR internal amplification control. Both the performance and robustness of the proposed methodology were analyzed. Firstly, the performance of the method was examined by analysis of the recovery of MNV-1, GI and/or GII NoV inoculated on frozen raspberry crum samples. Results showed that the recovery of MNV-1 was not significantly influenced by the inoculum incubation time (30 min or overnight incubation) or the inoculum level (10(6) or 10(8) genomic MNV-1 copies/10 g of frozen raspberry crum sample). In contrast, a significant influence of the GI and GII NoV inoculum level (10(4) or 10(6) genomic MNV-1 copies/10 g of frozen raspberry crum sample) was noticed on the recovery of respectively GI and GII NoV from frozen raspberry crum samples. Secondly, the robustness of the methodology was evaluated by subjecting three types of artificially MNV-1, GI and/or GII NoV contaminated soft red fruit products (deepfrozen forest fruit mix, fresh raspberries and fresh strawberry puree) to the method. Results showed a significant influence of the soft red fruit product type on the recovery efficiency of GI NoV and MNV-1, while no significant differences could be shown for GII NoV. In general, the recovery of GI and GII NoV in strawberry puree was more efficient from the strawberry puree compared to the two other soft red fruit types. In conclusion, results show that this methodology can be used for detection of NoV in different soft red fruits, although NoV recovery efficiencies can be influenced by (1) the NoV concentration on the soft red fruit type and (2) the tested soft red fruit type.

Multiplex real-time RT-PCR for simultaneous detection of GI/GII noroviruses and murine norovirus 1.

A quantitative two-step multiplex real-time reverse transcriptase (RT-) PCR assay for the simultaneous detection of genogroup I (GI) and genogroup II (GII) noroviruses (NoVs) is described below. A murine norovirus 1 (MNV-1) real-time PCR detection assay described recently was integrated successfully into the multiplex assay, making it possible to detect GI and GII NoVs and MNV-1 in one reaction tube with MNV-1 plasmid DNA as real-time PCR internal amplification control (IAC). The results showed a nearly complete concordance between the multiplex assay and the corresponding single-target PCRs. Analysis of competition between the individual reactions within the multiplex real-time PCR assay showed that GI and GII NoV plasmid DNAs mixed at equimolar concentrations were detected reproducibly and quantitatively, while a 4 log excess between GI and GII plasmid DNAs hindered amplification of the target with the lowest concentration. High concentrations of the real-time PCR IAC (MNV-1 plasmid DNA) also interfered with the possibility of the developed multiplex real-time RT-PCR assay to detect quantitatively and simultaneously the presence of GI and GII NoVs within one sample. The specificity of the multiplex assay was evaluated by testing a NoV RNA reference panel containing nine GI, eight GII, and one GIV in vitro synthesized RNA fragment, plus 16 clinical samples found positive for GI and GII NoVs previously. In addition, a collection of bovine NoVs and other (non-NoV) enteric viruses were found to be negative, and no cross-amplification between genogroups was observed.

Laboratory efforts to eliminate contamination problems in the real-time RT-PCR detection of noroviruses.

In the current study, laboratory efforts to prevent the presence of positive NTCs (no template controls) during the optimization of a quantitative real-time reverse transcriptase PCR assay for detection of Noroviruses (NoVs) are described. Two DNA types (single-stranded (ss)DNA fragments and plasmid DNA) were used to generate a real-time PCR standard and a high frequency of positive NTCs was noticed in the case of ssDNA fragments. To investigate our suspicion of well-to-well migration of DNA during real-time PCR runs as possible cause of the positive NTCs, an "evaporation-experiment" was set up in which the evaporation of water and the possible co-evaporation of DNA were measured as a function of the DNA type (ssDNA-fragments, plasmid DNA and genomic DNA), the reaction plate seal type (adhesive film or 8-cap strips) and the use of 7 microl of mineral oil as cover layer. Results of this experiment indicated that evaporation of water occurred during real-time PCR runs regardless of the DNA type, the seal type and whether or not 7 microl of mineral oil was used as cover layer. Data from this experiment also suggested co-evaporation of DNA, with an apparent negative correlation between the size of the DNA type and the extent of this co-evaporation. The use of 7 microl of mineral oil as cover layer seemed to prevent to some extent co-evaporation of DNA. The use of plasmids as standard combined with 7 microl of mineral oil as cover layer in the real-time PCR setup resulted in a complete absence of positive NTCs while only minor effects were noticed on the performance of the real-time PCR. In general, our results showed that the high sensitivity of an optimized real-time PCR assay should be considered as--besides a great advantage--a potential risk factor for obtaining false-positive results when using this technique.