Analysis of frozen strawberries involved in a large norovirus gastroenteritis outbreak using next generation sequencing and digital PCR.

Virus-contaminated frozen berries have been frequently identified as cause of foodborne disease outbreaks. To provide new tools for virus detection and characterization in berries, next generation sequencing (NGS) and reverse transcription-digital PCR (RT-dPCR) techniques were tested here with strawberries previously involved in a large-scale norovirus (NoV) gastroenteritis outbreak in Germany. By NGS, about 29 million sequence reads were generated, which mainly showed identities to sequences from the plant matrix and from the bacterial flora. Most abundant virus sequences originated from plant-specific viruses, whereas sequences with high identity to human viruses were rare. Only two sequence reads showed homologies to human NoV. They were identical to GII.P16/GII.13 NoV sequences from patients and a strawberry sample independently analyzed during the outbreak. Quantification of the GII NoV RNA of the berries using RT-dPCR confirmed a low mean virus amount of 185 copies/25 g, which is similar to independently assessed RT-qPCR results (257 copies/25 g). The study shows that identification of human-pathogenic viruses in naturally contaminated frozen berries is possible using NGS technologies. However, the method needs to be further optimized in order to enable convenient and reproducible detection of a low amount of human-pathogenic virus sequences in a background of highly abundant nucleic acids of other sources.

Human Erysipelothrix rhusiopathiae infection via bath water - case report and genome announcement.

Erysipelothrix rhusiopathiae is a facultative anaerobic, environmentally stable, Gram-positive rod that causes swine and avian erysipelas as a zoonotic pathogen. In humans, the main manifestations described are circumscribed erysipeloid, generalized erysipeloid, and endocarditis. Here, we report a 46-year-old female patient who presented to the physician because of redness and marked functio laesa of the hand, in terms of a pain-related restricted range of motion, and was treated surgically. E. rhusopathiae was detected in tissue biopsy. The source of infection was considered to be a pond in which both swine and, later, her dog bathed. The genome of the isolate was completely sequenced and especially the presumptive virulence associated factors as well as the presumptive antimicrobial resistance genes, in particular a predicted homologue to the multiple sugar metabolism regulator (MsmR), several predicted two-component signal transduction systems, three predicted hemolysins, two predicted neuraminidases, three predicted hyaluronate lyases, the surface protective antigen SpaA, a subset of predicted enzymes that potentially confer resistance to reactive oxygen species (ROS), several predicted phospholipases that could play a role in the escape from phagolysosomes into host cell cytoplasm as well as a predicted vancomycin resistance locus (vex23-vncRS) and three predicted MATE efflux transporters were investigated in more detail.

Interlaboratory Validation of a Detection Method for Hepatitis E Virus RNA in Pig Liver.

BACKGROUND: In the last years, the number of notified hepatitis E cases in humans has continuously increased in Europe. Foodborne infection with the zoonotic hepatitis E virus (HEV) genotype 3 is considered the major cause of this disease. Undercooked liver and raw sausages containing the liver of pigs and wild boar are at high risk of containing HEV. However, so far, no standardized method for the detection of HEV-RNA in pig liver is available. METHODS: An international collaborative study on method reproducibility involving 11 laboratories was performed for an HEV-RNA detection method, which consists of steps of sample homogenization, RNA extraction and real-time RT-PCR detection, including a process control. Naturally contaminated pork liver samples containing two different amounts of HEV and a HEV-negative pork liver sample were tested by all laboratories using the method. RESULTS: Valid results were retrieved from 10 laboratories. A specificity of 100% and a sensitivity of 79% were calculated for the method. False negative results were only retrieved from the sample containing very low HEV amounts near the detection limit. CONCLUSIONS: The results show that the method is highly specific, sufficiently sensitive and robust for use in different laboratories. The method can, therefore, be applied to routine food control as well as in monitoring studies.

Interlaboratory Validation of a Method for Hepatitis E Virus RNA Detection in Meat and Meat Products.

Increasing numbers of hepatitis E cases are currently recognized in many European countries. The zoonotic hepatitis E virus (HEV) genotype 3 mainly circulates in domestic pigs and wild boars, and can be transmitted to humans via consumption of insufficiently heated meat or meat products produced from those animals. Here, a detailed protocol for detection of HEV RNA in meat products is provided, which is based on the method originally described by Szabo et al. (Intl J Food Microbiol 215:149-156, 2015). It consists of a TRI Reagent®/chloroform-based food matrix homogenization, a silica bead-based RNA extraction and a real-time RT-PCR-based RNA detection. The method was further validated in a ring trial with nine independent laboratories using pork liver sausage samples artificially contaminated with different amounts of HEV. The results indicate sufficient sensitivity, specificity, and accuracy of the method for its broad future use in survey studies, routine food control or outbreak investigations.

Multicenter validation study of two blockcycler- and one capillary-based real-time PCR methods for the detection of Salmonella in milk powder.

A collaborative study including 13 German laboratories was conducted to evaluate the performance of two non-patented real-time PCR methods for the detection of Salmonella in milk powder targeting the ttrC/ttrA- or the invA gene. The enrichment procedure and sample DNA preparation method prior to the real-time PCR was the same for both systems and the identical DNA extraction samples were analysed. The traditional cultural method according to EN ISO 6579:2002 for the detection of Salmonella in food was performed in each laboratory as the reference. The participants received twelve coded milk powder samples each of 25 g for the analysis. Four of them were Salmonella negative (level L0), four artificially contaminated with <3 MPN/g Salmonella Typhimurium (level L1) and four artificially contaminated with 3.6 MPN/g S. Typhimurium (level L2) to the beginning of the experiment. Of the 13 laboratories 12 used various models of real-time PCR blockcyclers conducting both real-time PCR assays and three laboratories the Light Cycler 2.0 system (Roche Bioscience) conducting the ttr-based real-time PCR assay only. The relative accuracy for both real-time PCR assays performed on blockcyclers was for level L0 97.5%. For level L1 the relative accuracy was 94.1% and for level L2 it was 100% for both assays. The relative accuracy on the Light Cycler 2.0 system was 100% for all levels applied to the ttr-real-time PCR.

Detection and genome characterization of bovine polyomaviruses in beef muscle and ground beef samples from Germany.

Polyomaviruses are small, non-enveloped, circular double-stranded DNA viruses. Some polyomaviruses can induce tumors and cancer under certain circumstances. The bovine polyomaviruses (BPyV) 1-3 have been only scarcely analyzed so far. It was hypothesized that the consumption of beef meat containing polyomaviruses could contribute to the development of cancer in humans. In order to assess the distribution of the BPyV genome in meat from Germany, 101 beef muscle samples and 10 ground beef samples were analyzed here. A specific sample preparation method combined with or without rolling circle amplification (RCA), and BPyV-specific PCRs were developed and applied. BPyV-1 DNA was detected in 1/101 (1%) samples from beef meat and in 2/10 (20%) ground beef samples. BPyV-2 DNA was detected in 3/10 (30%) ground beef samples, whereas BPyV-3 was not detected in the samples. Application of RCA did not increase the detection rate in ground beef samples. Sequence analysis of the PCR products indicated the presence of BPyV-1, BPyV-2a and BPyV-2b. The whole genome of a BPyV-1 strain from ground beef meat showed 97.8% sequence identity to the BPyV-1 reference strain and that of a BPyV-2a strain from ground beef meet showed 99.9% sequence identity to strain 2aS11. It can be concluded that BPyV genomes can be frequently detected in ground beef samples, although higher sample numbers should be investigated in future to confirm this finding. Further studies should focus on the infectivity, tumorigenicity and heat resistance of the contained viruses in order to assess the risk of cancer induction through consumption of BPyVs present in beef products.

Detection and Typing of Norovirus from Frozen Strawberries Involved in a Large-Scale Gastroenteritis Outbreak in Germany.

During September/October 2012, a norovirus gastroenteritis outbreak affecting about 11,000 people occurred in Germany. Epidemiological studies suggested that frozen strawberries represented the vehicle of infection. We describe here the analysis of frozen strawberries for the presence of norovirus. Samples were taken by applying a stratified subsampling scheme. Two different methods for virus extraction from strawberries were compared. First, viruses were eluted from strawberries under alkaline conditions and concentrated using a polyethylene glycol precipitation. Second, ultrafiltration was applied for concentration of viruses rinsed off of the berries. In both cases, RNA was extracted and analyzed by real-time RT-PCR. Application of the ultrafiltration method generally resulted in a lower detection rate. Noroviruses were detected in 7/11 samples derived from the lot of strawberries implicated in the outbreak using the precipitation method. Typing of norovirus revealed three different genotypes including a combination of norovirus genotype II.16 (viral polymerase) and II.13 (viral capsid). This genotype combination was also found in some of the patients that were involved in the outbreak, but that had not been reported in Germany so far. In conclusion, heterogeneously distributed noroviruses in frozen strawberries can be detected by applying an optimized combination of sampling procedures, virus extraction methods, and real-time RT-PCR protocols. The detection of several different genotypes in the strawberries may suggest contamination from sewage rather than from a single infected food handler.

Enhanced reverse transcription-PCR assay for detection of norovirus genogroup I.

We have developed a one-tube reverse transcription (RT)-PCR method using the real-time TaqMan PCR system for the detection of norovirus genogroup I (NV GGI). By introduction of a novel probe based on locked nucleic acid technology, we enhanced the sensitivity of the assay compared to those of conventional TaqMan probes. The sensitivity of the NV GGI RT-PCR was determined by probit analysis with defined RNA standards and quantified norovirus isolates to 711 copies/ml (95% detection limit). In order to detect PCR inhibition, we included a heterologous internal control (IC) system based on phage MS2. This internally controlled RT-PCR was tested on different real-time PCR platforms, LightCycler, Rotorgene, Mastercycler EP realplex, and ABI Prism. Compared to the assay without an IC, the duplex RT-PCR exhibited no reduction in sensitivity in clinical samples. In combination with an established NV GGII real-time RT-PCR, we used the novel assay in a routine assay for diagnosis of clinical and food-borne norovirus infection. We applied this novel assay to analyze outbreaks of nonbacterial acute gastroenteritis. Norovirus of GGI was detected in these outbreaks. Sequence and similarity plot analysis of open reading frame 1 (ORF1) and ORF2 showed two genotypes, GGI/2 and GGI/4, in semiclosed communities.