Food-Borne Viruses in Shellfish: Investigation on Norovirus and HAV Presence in Apulia (SE Italy)

Shellfish are an important vehicle for transmission of food-borne pathogens including norovirus (NoV) and hepatitis A virus (HAV). The risks related with consumption of shellfish are greater if these products are eaten raw or slightly cooked. As molluscs are filter-feeding organisms, they are able to concentrate pathogens dispersed in the water. Data on shellfish viral contamination are therefore useful to obtain a background information on the presence of contamination in the environment, chiefly in shellfish production areas and to generate a picture of the epidemiology of viral pathogens in local populations. From January 2013 to July 2015, 253 samples of bivalve molluscs collected in harvesting areas from a large coastal tract (860 km) of Southern Italy were screened for HAV and NoV of genogroups GI and GII, using real-time reverse transcription qualitative PCR. The RNA of HAV was not detected in any of the analyzed samples. In contrast, the RNA of NoV was identified in 14.2% of the samples with a higher prevalence of NoVs of genogroup GII (12.2%) than genogroup GI (1.6%). Upon sequence analysis of a short diagnostic region located in capsid region, the NoV strains were characterized as GII.2, GII.4 Sydney 2012, GII.6, GII.13, GI.4, and GI.6, all which were circulating in local populations in the same time span. These data confirm that consumption of mussels can expose consumers to relevant risks of infection. Also, matching between the NoV genotypes circulating in local population and detected in molluscs confirms the diffusion in the environment of NoVs

Food-Borne Viruses in Shellfish: Investigation on Norovirus and HAV Presence in Apulia (SE Italy)

Shellfish are an important vehicle for transmission of food-borne pathogens including norovirus (NoV) and hepatitis A virus (HAV). The risks related with consumption of shellfish are greater if these products are eaten raw or slightly cooked. As molluscs are filter-feeding organisms, they are able to concentrate pathogens dispersed in the water. Data on shellfish viral contamination are therefore useful to obtain a background information on the presence of contamination in the environment, chiefly in shellfish production areas and to generate a picture of the epidemiology of viral pathogens in local populations. From January 2013 to July 2015, 253 samples of bivalve molluscs collected in harvesting areas from a large coastal tract (860 km) of Southern Italy were screened for HAV and NoV of genogroups GI and GII, using real-time reverse transcription qualitative PCR. The RNA of HAV was not detected in any of the analyzed samples. In contrast, the RNA of NoV was identified in 14.2% of the samples with a higher prevalence of NoVs of genogroup GII (12.2%) than genogroup GI (1.6%). Upon sequence analysis of a short diagnostic region located in capsid region, the NoV strains were characterized as GII.2, GII.4 Sydney 2012, GII.6, GII.13, GI.4, and GI.6, all which were circulating in local populations in the same time span. These data confirm that consumption of mussels can expose consumers to relevant risks of infection. Also, matching between the NoV genotypes circulating in local population and detected in molluscs confirms the diffusion in the environment of NoVs

Short communication: Isolation of Shiga toxin-producing Escherichia coli in raw milk and mozzarella cheese in southern Italy

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First report of Coxiella burnetii and Borrelia burgdorferi sensu lato in poultry red mites, Dermanyssus gallinae (Mesostigmata, Acari), related to urban outbreaks of dermatitis in Italy

The poultry red mite (PRM), Dermanyssus gallinae, is a nonburrowing haematophagous nest-dwelling ectoparasite of birds; occasionally it bites humans, inducing dermatitis. The possibility that this parasite may also be involved in transmission of pathogens is an additional concern. We investigated the presence of zoonotic agents in PRMs from bird nests and pets, and related them to urban outbreaks of dermatitis. A total of 98 PRMs from 12 outbreaks of PRM dermatitis that occurred in Italian cities from 2001 to 2017 were molecularly investigated for detection of Coxiella spp. (16S rRNA), Chlamydophila spp. (16S rRNA), Rickettsia spp. (17 kDa protein-encoding gene), Borrelia burgdorferi sensu lato (groEL gene) and Bartonella spp. (16S–23S rRNA intergenic spacer). Of the 12 tested mite pools, one was positive for Coxiella burnetii (100% identity) and two for B. burgdorferi sensu lato (99% with Borrelia afzelii). For the first time, the presence of B. burgdorferi sensu lato and C. burnetii is reported in PRMs from urban areas. Birds, mainly pigeons, can harbour both pathogens. Therefore, birds and their nest-dwelling PRMs may play a role in the epidemiology of these infections

SARS-CoV-2 concentrations and virus-laden aerosol size distributions in outdoor air in north and south of Italy

The COVID-19 disease spread at different rates in the different countries and in different regions of the same country, as happened in Italy. Transmission by contact or at close range due to large respiratory droplets is widely accepted, however, the role of airborne transmission due to small respiratory droplets emitted by infected individuals (also asymptomatic) is controversial. It was suggested that outdoor airborne transmission could play a role in determining the differences observed in the spread rate. Concentrations of virus-laden aerosol are still poorly known and contrasting results are reported, especially for outdoor environments. Here we investigated outdoor concentrations and size distributions of virus-laden aerosol simultaneously collected during the pandemic, in May 2020, in northern (Veneto) and southern (Apulia) regions of Italy. The two regions exhibited significantly different prevalence of COVID-19. Genetic material of SARS-CoV-2 (RNA) was determined, using both real time RT-PCR and ddPCR, in air samples collected using PM10 samplers and cascade impactors able to separate 12 size ranges from nanoparticles (diameter D < 0.056 µm) up to coarse particles (D > 18 µm). Air samples tested negative for the presence of SARS-CoV-2 at both sites, viral particles concentrations were <0.8 copies m−3 in PM10 and <0.4 copies m−3 in each size range investigated. Outdoor air in residential and urban areas was generally not infectious and safe for the public in both northern and southern Italy, with the possible exclusion of very crowded sites. Therefore, it is likely that outdoor airborne transmission does not explain the difference in the spread of COVID-19 observed in the two Italian regions

Verocytotoxin-Producing Escherichia coli O26 in raw water buffalo (Bubalus bubalis) milk products in Italy

Escherichia coli 026 is known as a verocytotoxin-producing E. coli (VTEC) organism that causes severe foodborne diseases such as hemorrhagic colitis and hemolytic uremic syndrome. Although cattle are the most important reservoir of VTEC, only a few reports on the role of water buffalo (Bubalus bubalis) as a reservoir of VTEC and on the presence of these organisms in their milk are available. However, in Southern Italy, where water buffalo are intensively reared, an outbreak of hemolytic uremic syndrome due to E. coli 026 has recently been reported, in which the consumption of typical dairy products was considered to be a common risk factor. The aims of this work were to assess the prevalence of E. coli 026 in raw water buffalo milk, to characterize the virulence gene profiles of the isolates, and to evaluate their phenotypic antimicrobial resistance pattern. Of 160 analyzed samples, 1 (0.6%) tested positive for E. coli 026, and the isolate showed the stx1+ lstx2+leae-lhlyA+ genotypic profile. The strain showed resistance against glycopeptides, macrolides, and penicillins. The presence of VTEC organisms in raw water buffalo milk could be considered to be a potential threat to consumers; however, the strict adherence to the processes used in the preparation of the most common buffalo dairy products could strongly mitigate the foodborne risk. To our knowledge, this article reports the first isolation and characterization of E. coli 026 VTEC in raw water buffalo milk. Copyright ©, International Association for Food Protectio

HIGH RESOLUTION IMAGE PROCESSING AND LAND COVER CLASSIFICATION FOR HYDRO- GEOMORPHOLOGICAL HIGH-RISK AREA MONITORING

High-resolution image processing for land surface monitoring is fundamental to analyze the impact ofdifferent geomorphological processes on Earth surface for different climate change scenarios. In thiscontext, photogrammetry is one of the most reliable techniques to generate high-resolutiontopographic data, being key to territorial mapping and change detection analysis of landforms inhydro-geomorphological high-risk areas. An important issue arises as soon as the main goal is toconduct analyses over extended areas of the Earth surface (such as fluvial systems) in a short time,since the need to capture large datasets to develop detailed topographic models may limit thephotogrammetric process, due to the high demand of high-performance hardware. In order toinvestigate the best set up of computing resources for these very peculiar tasks, a study of theperformance of a photogrammetric workflow based on a FOSS (Free Open-Source Software) SfM(Structure from Motion) algorithm using different cluster configurations was conducted, leveragingthe computing power of ReCaS-Bari data center infrastructure, which hosts several services such asHTC, HPC, IaaS, PaaS. Exploiting the high-computing resources available at clusters and choosingspecific set up for the workflow steps, an important reduction of several hours in the processing timewas recorded, especially compared to classic photogrammetric programs processed on a singleworkstation with commercial softwares. The high quality of the image details can be used for landcover classification and preliminary change detection studies using Machine Learning techniques. Asubset of the datasets used for the workflow implementation has been considered to test theperformance of different Convolutional Neural Networks, using progressively more complex layersequences, data augmentation and callback functions for training the models. All the results are givenin terms of model accuracy and loss and performance evaluation

First report of hepatitis e virus in shellfish in southeast Italy

Hepatitis E virus (HEV) represents one of the principal causative agents of hepatitis globally. Among the five HEV genotypes affecting humans, genotypes 3 and 4 are zoonotic and are the main source of hepatitis E in developed countries. HEV has been detected in several foods. The present work investigated the presence of this virus in shellfish sold at retail in the Apulia region of Italy. The presence of HEV RNA was assessed by real-time RT-PCR in 225 shellfish samples collected during 2018. Overall, two (0.89%) of these samples tested positive for HEV RNA. To our knowledge, this is the first notification of the detection of HEV in mussels sold at retail in the Apulia region. These data highlight the potential role of shellfish as a vehicle for the transmission of viral pathogens