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.
Hepatitis A virus (HAV) and norovirus are important agents of food-borne human viral illness, with common vehicles including bivalve molluscan shellfish, soft fruit and various vegetables. Outbreaks of viral illness due to contamination of the surfaces of foods, or food preparation surfaces by for example infected food handlers are also common. Virus analysis of food matrices can contribute towards risk management for these hazards and a two-part technical specification for determination of Hepatitis A virus and norovirus in food matrices (ISO/TS 15216:2013) was published jointly by the European Committee for Standardisation and the International Organization for Standardization in 2013. As part of the European Mandate No. M381 to validate 15 standards in the field of food microbiology, an international validation study involving 18 laboratories from 11 countries in Europe was conducted between 2012 and 2014. This study aimed to generate method characteristics including limit of detection, limit of quantification, repeatability and reproducibility for ISO 15216 - Part 1, the method for quantification, in seven food matrices. The organization and results of this study, including observations that led to improvements in the standard method are presented here. After its conclusion, the method characteristics generated were added to the revised international standard, ISO 15216-1:2017, published in March 2017.
Noroviruses and rotaviruses are the leading causes of non-bacterial gastroenteritis in humans worldwide. Virus-contaminated food and surfaces represent an important risk to public health. However, established detection methods for the viruses in food products are laborious and time-consuming. Here, we describe a detailed swabbing protocol combined with real-time RT-PCR for norovirus and rotavirus detection on artificially contaminated food and environmental surfaces. Recovery rates between 2 and 78% for norovirus and between 8 and 42% for rotavirus were determined for contaminated food surfaces of apple, pepper, cooked ham and salami. From contaminated environmental surfaces (stainless steel, ceramic plate, polyethylene, wood), recovery rates between 26 and 52% (norovirus) and between 10 and 58% (rotavirus) were determined. The results demonstrate the suitability of the swab sample method for virus detection on food and environmental surfaces. Compared to other methods, it is easy to perform and significantly time-saving, predestining it for routine testing.
Aims: The chromosomal ail gene (attachment and invasion locus) is commonly used as target gene for the detection of pathogenic Y. enterocolitica strains in food testing. The ail PCR does not detect strains of biotype 1A (BT1A), which are regarded as non‐pathogenic because BT1A strains lack the virulence plasmid and chromosomally encoded virulence genes. In some recent reports, however, BT1A strains were discovered that harboured the ail gene. We isolated an ail‐positive strain and characterized this strain with phenotypic and genotypic methods to study its possible relation to pathogenic Y. enterocolitica strains. Methods and Results: The ail region of the BT1A strain was sequenced and compared with the corresponding region of nonpathogenic BT1A strains and pathogenic strains. Pulsed field gel electrophoresis (PFGE) analysis was applied revealing no similarity of the PFGE pattern of this strain to the patterns of pathogenic strains. Virulence‐gene‐based PCR analyses showed the strain to be positive for ystB, but negative for virulence genes ystA, virF and yadA. Whole‐cell MALDI‐TOF MS combined with a shrinkage discriminant analysis approach was applied and clearly classified the ail‐positive biotype 1A strain within the cluster of BT1A strains. Conclusions: PCR detection of ail sequences in food matrices should be followed by the isolation of the responsible strain and its characterization using phenotypic or genotypic methods. Significance and Impact of the Study: The ail gene may be present in Y. enterocolitica BT1A strains, which are commonly considered as nonpathogenic. Efficient methods such as PCR typing of other virulence genes or rapid MALDI‐TOF MS‐based bacterial profiling allow a more comprehensive assessment of the pathogenicity potential of Yersinia strains.
A new model for the probability of detection (POD curve) for qualitative PCR methods examined in a method validation collaborative study is presented. The model allows the calculation of the POD curve and the limit of detection (LOD 95% ), i.e. the number of copies of the target DNA sequence required to ensure 95 % probability of detection. The between-laboratory variability of the limit of detection is used to derive the betweenlaboratory reproducibility of the PCR method. The model is closely related to the approach for quantitative methods described in ISO 5725.2:2002, and the relative limit of detection approach described in the new standard ISO 16140-2:2014.
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.
Abbreviations: bp = base pairs; CIN agar = cefsulodin irgasan novobiocin agar; ITC = irgasan ticarcillin sodim chlorate broth; PCR = polymerase chain reaction; PSB = peptone sorbit bile broth; PW = peptone water; SSCD agar = Salmonella Shigella agar with sodium deoxycholate and calcium chloride; TSB = tryptic soya broth.Summary: A real-time PCR system with an internal amplification control was developed for detection of pathogenic Yersinia) enterocolitica in food samples. The chromosomally encoded ail gene was chosen as PCR target. Sequences of plasmid pUC19 served as target for the internal amplification control. The method was validated in combination with sample enrichment in PSB and TSB broth using different food matrices spiked with Y. enterocolitica and naturally contaminated slaughterhouse samples. The results of the real-time PCR with internal control were verified by the cultural method according to EN ISO 10273:2003. The sensitivity of the real-time PCR with internal control is about 5 genome copies per reaction. Artificial contamination of food samples resulted in a detection level of 5 cfu per 25 g Y. enterocolitica in food samples. 100 % of porcine tonsils and about 22 % meat from pig heads were contaminated. The screening of samples by PCR prior to cultural analysis allows focusing on positive samples in routine analysis. This could result in a higher detection rate by cultural analysis.Zusammenfassung: Für den Nachweis von pathogenen Yersinia enterocolitica wurde ein real-time PCR System mit interner Amplifikationskontrolle entwickelt. Das Nachweissystem für pathogene Y. enterocolitica basiert auf dem chromosomal kodierten ail-Gen. Als Zielsequenz der internen Amplifikationskontrolle dient eine Sequenz aus dem Plasmid pUC19. Zur Validierung der Methode wurden sowohl natürlich kontaminierte Proben aus einem Schlachthof als auch künstlich kontaminierte Proben verschiedener Lebensmittelmatrices verwendet. Die Anreicherung der Proben vor der molekularbiologischen Untersuchung erfolgte parallel in Tryptikase Soja-Bouillon (TSB) und in Pepton-Sorbit-Gallensalz-Bouillon (PSB). Die Ergebnisse der molekularbiologischen Untersuchungen wurden anschließend kulturell in Anlehnung an das Standardverfahren nach EN ISO 10273:2003 verifiziert. Die real-time PCR mit interner Amplifikationskontrolle weist eine Sensitivität von 5 Genomkopien pro Reaktionsansatz auf. Die Nachweisgrenze des Verfahrens, bestimmt anhand künstlich kontaminierter Proben, beträgt etwa 5 KbE Y. enterocolitica pro 25 g Lebensmittel. Von den natürlich kontaminierten Proben aus einem Schlachthof waren die Tonsillen vom Schwein zu 100 % mit pathogenen Y. enterocolitica kontaminiert, Schweinefleischabschnitte aus dem Kopfbereich wiesen einen Kontaminationsgrad von 22 % auf.Ein Screening von Proben durch PCR erlaubt in der Routineanalytik die Fokussierung der kulturellen Analyse auf positive Proben. Dies könnte zu einer höheren Nachweisrate durch das kulturelle Verfahren führen.
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