Accuracy of Risk Perception of Zoonoses Due to Intensive Animal Farming and People’s Willingness to Change Their Animal Product Consumption

Zoonoses have become more frequent and intense. As intensive animal farming plays a role in the emergence of zoonoses, the increase in intensive animal farming increases the risk of future zoonotic outbreaks. This raises the question of to what extent people are aware that intensive animal farming poses a risk to zoonoses. Furthermore, if people would be made aware, would they be willing to take protective measures, such as reducing their animal food consumption? This was investigated in a representative descriptive study of 1009 Dutch citizens. We measured participants’ perception of the risk of intensive animal farming and their perception of the way animals are treated. We measured their willingness to consume fewer animal products and their opinions on governments banning intensive animal farms. Additionally, participants estimated the percentage of meat from intensive farms that they consume. The main results showed that most participants were aware that zoonoses can occur through intensive animal farming, but not where their meat comes from. The majority of participants were willing to change their animal consumption behavior if this could reduce future zoonotic outbreaks.

Nanopore-Based Surveillance of Zoonotic Bacterial Pathogens in Farm-Dwelling Peridomestic Rodents

The effective control of rodent populations on farms is crucial for food safety, as rodents are reservoirs and vectors for several zoonotic pathogens. Clear links have been identified between rodents and farm-level outbreaks of pathogens throughout Europe and Asia; however, comparatively little research has been devoted to studying the rodent–agricultural interface in the USA. Here, we address this knowledge gap by metabarcoding bacterial communities of rodent pests collected from Minnesota and Wisconsin food animal farms. We leveraged the Oxford Nanopore MinION sequencer to provide a rapid real-time survey of putative zoonotic foodborne pathogens, among others. Rodents were live trapped (n = 90) from three dairy and mixed animal farms. DNA extraction was performed on 63 rodent colons along with 2 shrew colons included as outgroups in the study. Full-length 16S amplicon sequencing was performed. Our farm-level rodent-metabarcoding data indicate the presence of multiple foodborne pathogens, including Salmonella spp., Campylobacter spp., Staphylococcus aureus, and Clostridium spp., along with many mastitis pathogens circulating within five rodent species (Microtus pennsylvanicus, Mus musculus, Peromyscus leucopus, Peromyscus maniculatus, and Rattus norvegicus) and a shrew (Blarina brevicauda). Interestingly, we observed a higher abundance of enteric pathogens (e.g., Salmonella) in shrew feces compared to the rodents analyzed in our study. Knowledge gained from our research efforts will directly inform and improve farm-level biosecurity efforts and public health interventions to reduce future outbreaks of foodborne and zoonotic disease.

Molecular surveillance of zoonotic bacterial pathogens in farm dwelling peridomestic rodents across the upper Midwest, USA

The effective control of rodent populations on farms is a critical component of food-safety, as rodents are reservoirs and vectors for many foodborne pathogens in addition to several zoonotic pathogens. The functional role of rodents in the amplification and transmission of pathogens is likely underappreciated. Clear links have been identified between rodents and outbreaks of pathogens throughout Europe and Asia, however, comparatively little research has been devoted to studying this rodent-agricultural interface in the USA, particularly across the Midwest. Here, we address this existing knowledge gap by characterizing the metagenomic communities of rodent pests collected from Minnesota and Wisconsin food animal farms. We leveraged the Oxford Nanopore MinION sequencer to provide a rapid real-time survey of the putative zoonotic food-borne and other human pathogens. Rodents (mice and rats) were live trapped from three dairy and mixed animal farms. Tissues and fecal samples were collected from all rodents. DNA extraction was performed on 90 rodent colons along with 2 shrew colons included as outgroups in the study. Full-length 16S amplicon sequencing was performed with the MinION. Our data suggests the presence of putative foodborne pathogens including Salmonella spp., Campylobacter spp., Staphylococcus aureus, and Clostridium spp., along with many important mastitis pathogens. A critically important observation is that we discovered these pathogens within all five species of rodents (Microtus pennsylvanicus, Mus musculus, Peromyscus leucopus, Peromyscus maniculatus, and Rattus norvegicus) and shrew (Blarina brevicauda) in varying abundances. Interestingly, we observed a higher abundance of enteric pathogens (e.g. Salmonella) in shrew feces compared to the rodents analyzed in our study, however more data is required to establish that connection. Knowledge gained from our research efforts will directly inform and improve upon farm-level biosecurity efforts and public health interventions to reduce future outbreaks of foodborne and zoonotic disease.

Development of a Computerized Automated System for Feed, Water and Sanitation Management in Animal Farms

Frequent visits into animal farms either for cleaning, feed or water dispensation are a possible means of viral, and bacteria propagation into and out of the farms. The need for these visits compels the farmer to live in the farm and devote considerable time to these activities. A well-controlled automatic feed dispensation/water management system can considerably reduce labor and prevent frequent farm visits. This can in turn promote social distancing especially during the outbreak of epidemics. A solar energy powered automatic system for feed, water dispensation and sanitation management was developed for animal farms. It was made up of an Arduino UNO board, a water level/or feed sensor, a DS1307 Real Time Clock (RTC), two potentiometers, a buffer, an sim900 mini v3, a relay module for Arduino, a display (LCD) for visual monitoring of events. It was programmed to periodically command electric motors to release a desired quantity of feed and water into different troughs as well as open hydraulic valves to spray a jet of high pressure water to clean the enclosure. Required data was fed into the program by the farmer depending on the daily needs which in turn depend on the animal species, age and husbandry requirements. The system communicated with the farmer through a GSM card after each operation. Initial tests of the prototype revealed minimum of 83.33% efficiencies for all the units. The module was able to report to the farmer minutes after completing each task. It was concluded that such a system can considerably reduce labor in animal farms as well as disease propagation.

A Metagenomic Analysis of Mosquito Virome Collected From Different Animal Farms at Yunnan–Myanmar Border of China

Metagenomic analysis of mosquito-borne and mosquito-specific viruses is useful to understand the viral diversity and for the surveillance of pathogens of medical and veterinary importance. Yunnan province is located at the southwest of China and has rich abundance of mosquitoes. Arbovirus surveillance is not conducted regularly in this province particularly at animal farms, which have public health as well as veterinary importance. Here, we have analyzed 10 pools of mosquitoes belonging to Culex tritaeniorhyncus, Aedes aegypti, Anopheles sinensis, and Armigeres subalbatus species, collected from different animal farms located at Yunnan province of China by using metagenomic next-generation sequencing technique. The generated viral metagenomic data reveal that the viral community matched by the reads was highly diverse and varied in abundance among animal farms, which contained more than 19 viral taxonomic families, specific to vertebrates, invertebrates, fungi, plants, protozoa, and bacteria. Additionally, a large number of viral reads were related to viruses that are non-classified. The viral reads related to animal viruses included parvoviruses, anelloviruses, circoviruses, flaviviruses, rhabdoviruses, and seadornaviruses, which might be taken by mosquitoes from viremic animal hosts during blood feeding. Notably, the presence of viral reads matched with Japanese encephalitis virus, Getah virus, and porcine parvoviruses in mosquitoes collected from different geographic sites suggested a potential circulation of these viruses in their vertebrate hosts. Overall, this study provides a comprehensive knowledge of diverse viral populations present at animal farms of Yunnan province of China, which might be a potential source of diseases for humans and domestic animals.

Relationship between moral responsibility for zoonotic pandemics outbreaks and industrial animal farms

The responsibility for the COVID-19 pandemic was first ascribed to persons associated with the Huanan Seafood Market. However, many scientists suggest that this pandemic is actually a consequence of human intrusion into nature. This opens up a whole new perspective for an examination of direct and indirect, individual and collective responsibility concerning this particular pandemic, but also zoonotic pandemics as such. In this context, one of the key issues are the consequences of factory-farming of animals, which contributes to circumstances in which zoonotic pandemics emerge. Moreover, it is part of a larger economic system, global capitalism, whose logic implies certain coercion toward its participants to keep it essentially unchanged and therefore to make sure that livestock health remains ?the weakest link in our global health chain? (FAO). However, even though the precise answer to the issue of moral responsibility for zoonotic pandemics outbreaks in general and the COVID-19 pandemic in particular cannot be given, it is possible to list certain indicators and make a framework helpful in ascribing moral responsibility to certain persons. The paper intends to do so by examining the notion of responsibility and by applying it to the issues mentioned. The results of this analysis show that it is misleading to place moral blame on people involved in actions that directly caused the animal-to-human transmission of a certain virus or on humanity as a whole.