The idea that human bocavirus (hBoV) infection possibly plays a role in gastroenteritis has been suggested because of the frequent manifestation of gastrointestinal symptoms. The purpose of this study was to investigate the prevalence of hBoV in children with gastroenteritis. We studied the etiologic agents in 962 children hospitalized with gastroenteritis. Viral etiologic agents were detected by enzyme-linked immunosorbent assay or reverse-transcriptase polymerase chain reaction. A viral agent was found in 44.4% of the study population: rotavirus, norovirus, adenovirus, and astrovirus were detected in 25.7%, 13.7%, 3.0%, and 1.1% of the study population, respectively; hBoV was detected in 0.8%, which suggests that it might play a minor role in gastroenteritis.Acute gastroenteritis is one of the most common diseases requiring hospitalization of children. Group A rotavirus, norovirus, enteric adenovirus, and astrovirus are known to be important viral etiologic agents of gastroenteritis in children, and their detection is due to the use of improved diagnostic methods [1]. However, the etiologic agents are still undiagnosed in more than half of the patients with gastroenteritis, despite improvements in diagnostic technology.In 2005, human bocavirus (hBoV) was identified in children with acute respiratory-tract infections [2]. Although hBoV has been detected frequently in children with upper-respiratory-tract infection, lower-respiratory-tract infection (LRTI), and asthma exacerbation, the clinical spectrum of hBoV and the role that it plays in these infections is not certain [3][4][5][6]. In previous studies, hBoV has been reported to be associated with gastrointestinal symptoms in 11%-29% of patients [7-

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Three hundred forty-eight fecal specimens collected from young children with acute diarrhea in Seoul, Korea between January 1998 and February 2000 were examined for G and P types. Of these, 205 samples (59%) were confirmed as group A rotavirus by ELISA for the detection of VP6 antigen. Confirmed rotavirus isolates were characterized using G serotyping ELISA and RT-PCR methodologies for G and P genotyping of the outer capsid proteins VP7 and VP4, respectively. Serotyping of the outer capsid protein, VP7, revealed G4 as the dominant circulating serotype (41%) followed by G1 (28%) and quite a high incidence of mixed infection (14%). Genotyping of the VP4 protein was carried out on 55 of the rotavirus isolates with the dominant type being P[8] (46%). Of interest were a number of unusual G and P type combinations detected in Korea for the first time, especially the P[4] genotype associated with non-G2 serotypes. There were also a number of P[6] isolates identified including one G2P[6] isolate.

BackgroundPhylogenetic analysis of norovirus (NoV) is efficient for tracking NoV transmission. To determine the widespread NoV strains in Seoul, we conducted an extensive phylogenetic characterization of NoV-positives from 1659 diarrheal specimens collected in 2014–2016 for the Seoul NoV-surveillance.ResultsWhen the large numbers of NoV partial VP1 genome sequences were analyzed in acute gastroenteritis patients along with the phylogenetic characterization, we could identify molecular epidemiologic patterns based on the genetic characteristics of sporadic NoV strains circulating in Seoul, which could provide a detailed description of the genome-wide and community-wide NoV evolution in each genotype. The average NoV detection rate in our study period was 16.34% that was increased by 7.44% from 13.17% in 2014 to 20.61% in 2016. Prevalence of NoV GI and GII was 4.43% and 93.36%, respectively, and the GII.4, GII.17, and GII.3 were found to be the major type among 17 genotypes of NoV. The most prevalent one was GII.4 (50.92%) that was followed by GII.17 (18.08%) and GII.3 (9.96%). According to an extensive phylogenetic analysis based on partial VP1 sequences of 1008 NoV (276 sporadic, 518 outbreak and 214 reference), pandemic strains of GII.17, GII.4 and GII.3 have emerged in succession during the 2014-2016 Seoul NoV-surveillance. GII.17 emerged as GII.17|Kawasaki323 in 2014, and became the predominant genotype in 2015 with GII.17|2014_Kawasaki lineages (CUHK-NS-616/Kawasaki308). The formerly predominant GII.4 remained high-level with GII.4|2012_Sydney in 2014 and internally replaced to GII.4|2016_Kawasaki194 lineage (NOR-2565/NOR-2558/OH16002) that caused the sporadic NoV explosion since December 2015. Sporadically prevalent GII.3|Hu/Aichio334-13/2013 failed to develop any outbreaks, whereas sporadic GII.3|Hu/3-28/2015/HNZZ/CHN caused heavy outbreaks in Seoul without preparation time since November 2016.ConclusionsThis is the first extensive phylogenetic study revealing the important events of NoV strains circulating in Seoul. Particularly, our study period from 2014 to 2016 was very dynamic with the emergences of the three main NoV strains (GII.17|2014_Kawasaki, GII.4|2016_Kawasaki194 and GII.3|Hu/3-28/2015/HNZZ/CHN) every year. We are sure that it is hard to detect above findings by simple conventional analysis. Our present study reports a future paradigm of the NoV molecular epidemiology, which might be highly valuable to track new strains and predict oncoming outbreaks.Electronic supplementary materialThe online version of this article (10.1186/s13099-018-0263-8) contains supplementary material, which is available to authorized users.

Noroviruses cause acute gastroenteritis with symptoms of diarrhoea and vomiting, and their high infectivity allows outbreaks to readily occur. Quickly identifying and isolating potential contaminants is an effective method to prevent the spread of outbreaks. A total of 376 samples collected from nine outbreaks were categorized as either patient, asymptomatic individual, cook or environmental samples, according to the source of contamination. Using real‐time PCR and sequencing analysis, norovirus GII genotypes were detected in 34·9% of samples from patients, 19·2% from asymptomatic individuals, 2·4% from the environment and 1·4% from cooks. Our findings showed contrasting results in samples categories quantified based on the limit of blank and detection limit by reverse transcription droplet digital PCR, which is a more sensitive testing method than real‐time‐PCR.