scholarly journals Gene editing in Farm Animals: A Step Change for Eliminating Epidemics on our Doorstep?

2021 ◽  
Author(s):  
Gertje Eta Leony Petersen ◽  
Jaap Buntjer ◽  
Fiona Hely ◽  
Timothy Byrne ◽  
Bruce Whitelaw ◽  
...  

Recent breakthroughs in gene-editing technologies that can render individuals fully resistant to infections may offer unprecedented opportunities for controlling future epidemics. Yet, their potential for reducing disease spread are poorly understood as the necessary theoretical framework for estimating epidemiological effects arising from gene editing applications is currently lacking. Here, we develop semi-stochastic modelling approaches to investigate how the adoption of gene editing may affect infectious disease prevalence in farmed animal populations and the prospects and time-scale for disease elimination. We apply our models to the Porcine Reproductive and Respiratory Syndrome PRRS, one of the most persistent global livestock diseases to date. Whereas extensive control efforts have shown limited success, recent production of gene-edited pigs that are fully resistant to the PRRS virus have raised expectations for eliminating this deadly disease. Our models predict that disease elimination on a national scale would be difficult to achieve if gene editing was used as the only disease control. However, when complemented with vaccination, the introduction of 10% of genetically resistant animals in a fraction of herds could be sufficient for eliminating the disease within 3-6 years. Besides strategic distribution of genetically resistant animals, several other key determinants underpinning the epidemiological impact of gene-editing were identified.

2021 ◽  
Vol 13 (5) ◽  
pp. 2694
Author(s):  
Heehyeon Jeong ◽  
Jungyeol Hong ◽  
Dongjoo Park

The outbreak of African swine fever virus has raised global concerns regarding epidemic livestock diseases. Therefore, various studies have attempted to prevent and monitor epidemic livestock diseases. Most of them have emphasized that integrated studies between the public health and transportation engineering are essential to prevent the livestock disease spread. However, it has been difficult to obtain big data related to the mobility of livestock-related vehicles. Thus, it is challenging to conduct research that comprehensively considers cargo vehicles’ movement carrying livestock and the spread of livestock infectious diseases. This study developed the framework for integrating the digital tachograph data (DTG) and trucks’ visit history of livestock facility data. The DTG data include commercial trucks’ coordinate information, but it excludes actual livestock-related vehicle trajectories such as freight types and facility visit history. Therefore, the integrated database we developed can be used as a significant resource for preventing the spread of livestock epidemics by pre-monitoring livestock transport vehicles’ movements. In future studies, epidemiological research on infectious diseases and livestock species will be able to conduct through the derived integrating database. Furthermore, the indicators of the spread of infectious diseases could be suggested based on both microscopic and macroscopic roadway networks to manage livestock epidemics.


2021 ◽  
Vol 26 (2) ◽  
pp. e1965
Author(s):  
Sebastian Giraldo-Ramirez ◽  
Santiago Rendon-Marin ◽  
Julian Ruiz-Saenz

Animals have become an essential member for our society, with roles related to company, human well-being and therapy for some diseases, and as a source of food in many populations around the world. Animals intended for human consumption like pigs and cattle, as well as companion animals, specifically cats and dogs, are constantly threatened by multiple viral agents. This puts at risk pet owners and threatens food security in the region. Considering that control or eradication is a complex problem that involves several aspects, there is a limited success in this regard for viral diseases such as foot-and-mouth disease, rabies and classical or African swine fever, this review aims to show the most important characteristics, in the epidemiological context, from farm animals virus, re-emerging viruses affecting companion animals, and emerging and re-emerging zoonotic viruses. Since viral pathogens affect animal populations and human well-being, there is a need to increase efforts to control, monitor and eradicate them from livestock and companion animals. The following sections contribute to improve the understanding of these viral agents and orchestrate actions of control entities in the Americas.


2018 ◽  
Vol 56 ◽  
pp. 5-14 ◽  
Author(s):  
M. V. Hladiy ◽  
Yu. P. Polupan ◽  
S. I. Kovtun ◽  
S. V. Kuzebnij ◽  
L. V. Vyshnevskiy ◽  
...  

The article highlights the main achievements, problems and directions of the further development of the landing stock of Ukraine, the prospects of scientific research of Institute of Animal breeding and Genetics nd. a. M.V.Zubets of the NAAS in the areas of breeding, genetics, biotechnology of reproduction and preservation of the gene pool of farm animals. Institute is the initiator of four dairy herds (Ukrainian Red-and-White, Black-and-White, Red and Brown dairy bread) and four meat (Ukrainian, Volyn, Polissya and Southern meat) breeds of cattle. Its employees carry out scientific support of regional livestock development programs, development of systems for the creation and management of commercial herds of dairy and beef cattle, which contributes to solving the global food problem, and to ensure the nutrition security of Ukrainian population. The newly created Ukrainian Black-and-White, Red-and-White and Red dairy breeds for the predominantly intra-species breeding improvement and limited access to the gene pool of the Holstein breeding breed should remain the main areas of the breeding improvement of domestic dairy cattle breeding. The existing breeding system in cattle in Ukraine does not meet international standards and practically does not work in a complex way, and it threatens the final destruction of domestic breeding livestock, a significant dependence of the country on the import of breeding resources. To solve the problem, a new structure of the breeding service with a clear definition of the organizational basis for the management of tribal affairs and functional responsibilities of the subjects of its implementation was proposed, the formation of a centralized national information base for the identification, registration, origin and performance of animals, the keeping of state books of breeding animals as the basis estimation of their genetic value, and its realization is entrusted to the state enterprise created at the institute on Main scientific-production informational-elective center in livestock. Promising areas for farm animal breeding research are grouped into gene identification and the degree of development of quantitative attributes (QTL), early prediction and evaluation of breeding value of animals using markers (MAS). Research on molecular genetics is aimed at improving genetic analysis methods at individual and population levels, monitoring herds of cattle according to different types of genetic markers. Genetic systems for testing animals in 9 loci quantitative attributes, which are involved in the formation of qualitative indicators of dairy and meat productivity. A work is under way to test animals for the polymorphism of the BoLA-DRB3 gene of the major histocompatibility complex in animal populations for resistance to or susceptibility to mastitis. Biotechnology research focuses on reproductive biology methods, first of all, manipulations with gametes of farm animals, in vitro fertilization of pre-matured oocytes of cows and pigs, and others. The technology of obtaining oocyte cumulus complexes from ovaries of animals, the conditions of their storage, cultivation and fertilization out of the organism, which allows receiving a much larger number of embryos for both scientific and practical purposes, is developed. A separate direction is the work to improve the biotechnological methods of reproduction of farm animals using nanomaterials. It is based on the application in cryopreservation and sperm production of sperm and ovules of various variants of biologically active substances that are applied to highly dispersed silica molecules (albumin of blood serum of cattle, N-acetylneuramic acid – UFS / BSA / NANA). In order to monitor and preserve the diversity of genetic resources of agricultural animals in Ukraine, a complex of works under NAAS scientific program "System of work in populations and preservation of biological diversity of genetic resources of farm animals" ("Preservation of gene pool of breeds") with a coordination center on the basis of Institute of Animal breeding and Genetics nd. a. M.V.Zubets of NAAS. The research resulted in the development of the Program for the preservation of the gene pool of local and endangered breeds of farm animals in Ukraine for 2017–2025, in which the methodological bases for preservation of the gene pool were generalized, animal breeds were classified according to the criteria of risk, the minimum sizes of herds (real and virtual) of faulting species were substantiated, the minimum the size of subsidies for the proper functioning of small-numbered breeds, general methodological approaches to assessing the specificity of genetic resources are specified.


2019 ◽  
Author(s):  
Lauren A. White ◽  
Sue VandeWoude ◽  
Meggan E. Craft

AbstractMechanistic portrayals of how animals form and maintain territories remain rare, and as a discipline, collective movement ecology has tended to focus on synergistic (e.g., migration, shoaling) rather than agonistic or territorial interactions. Here we ask how dynamic territory formation and maintenance might contribute to disease dynamics in an asocial territorial animal for an indirectly transmitted pathogen. We developed a mechanistic individual-based model where stigmergy—the deposition of signals into the environment (e.g., scent marking, scraping)—dictates not only local movement choices and long-term territory formation, but also the risk of pathogen transmission. Based on a variable importance analysis, the length of the infectious period was the single most important variable in predicting outbreak success, maximum prevalence, and outbreak duration. Population size and rate of pathogen decay were also key predictors. We found that territoriality best reduced maximum prevalence in conditions where we would otherwise expect outbreaks to be most successful: slower recovery rates (i.e., longer infectious periods) and higher conspecific densities. However, at high enough densities, outbreak duration became considerably more variable. Our findings therefore support a limited version of the “territoriality benefits” hypothesis—where reduced home range overlap leads to reduced opportunities for pathogen transmission, but with the caveat that reduction in outbreak severity may increase the likelihood of pathogen persistence. For longer infectious periods and higher host densities, key trade-offs emerged between the strength of pathogen load, strength of the stigmergy cue, and the rate at which those two quantities decayed; this finding raises interesting questions about the evolutionary nature of these competing processes and the role of possible feedbacks between parasitism and territoriality. This work also highlights the importance of considering social cues as part of the movement landscape in order to improve our understanding of the consequences of individual behaviors on population level outcomes.Author summaryMaking decisions about conservation and disease management relies on our understanding of what allows animal populations to be successful. However, movement ecology, as a field, tends to focus on how animals respond to their abiotic environment. Similarly, disease ecology often focuses on the social behavior of animals without accounting for their individual movement patterns. We developed a simulation model that bridges these two fields by allowing hosts to inform their movement based on the past trajectories of other hosts. As hosts navigate their environment, they leave behind a scent trail while avoiding the scent trails of other individuals. We wanted to know if this means of territory formation could heighten or dampen disease spread when infectious hosts leave pathogens in their wake. We found that territoriality could inhibit disease spread under conditions that we would normally expect pathogens to be most successful: where there are many hosts on the landscape and hosts stay infectious for longer. This work points to how incorporating movement behavior into disease models can provide improved understanding of how diseases spread in wildlife populations; such understanding is particularly important in the face of combatting ongoing and emerging infectious diseases.


Due to the everchanging environment, the cattle’s are in risk of getting affected by diseases and this in turn affects the economy. There will low productivity, less yield . It is still hard to forestall farm animals sicknesses using current monitoring systems that tune cattle activity and consequently the environmental situations of cattle .In this paper, we design a cattle health monitoring system using IOT and ML to a prevent livestock diseases, like anthrax disease, using dedicated sensors. We collect information using various. With the assistance of machine learning algorithm, we will predict the disease and send notification to the respective cattle owner and also the doctor in charge.


F1000Research ◽  
2020 ◽  
Vol 7 ◽  
pp. 1220
Author(s):  
Kamil Erguler

This article describes the sPop packages implementing the deterministic and stochastic versions of an age-structured discrete-time population dynamics model. The packages enable mechanistic modelling of a population by monitoring the age and development stage of each individual. Survival and development are included as the main effectors and they progress at a user-defined pace: follow a fixed rate, delay for a given time, or progress at an age-dependent manner. The model is implemented in C, Python, and R with a uniform design to ease usage and facilitate adoption. Early versions of the model were previously employed for investigating climate-driven population dynamics of the tiger mosquito and the chikungunya disease spread by this vector. The sPop packages presented in this article enable the use of the model in a range of applications extending from vector-borne diseases towards any age-structured population including plant and animal populations, microbial dynamics, host-pathogen interactions, infectious diseases, and other time-dependent epidemiological processes.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1220 ◽  
Author(s):  
Kamil Erguler

This article describes the sPop packages implementing the deterministic and stochastic versions of an age-structured discrete-time population dynamics model. The packages enable mechanistic modelling of a population by monitoring the age and development stage of each individual. Survival and development are included as the main effectors and they progress at a user-defined pace: follow a fixed-rate, delay for a given time, or progress at an age-dependent manner. The model is implemented in C, Python, and R with a uniform design to ease usage and facilitate adoption. Early versions of the model were previously employed for investigating climate-driven population dynamics of the tiger mosquito and the chikungunya disease spread by this vector. The sPop packages presented in this article enable the use of the model in a range of applications extending from vector-borne diseases towards any age-structured population including plant and animal populations, microbial dynamics, host-pathogen interactions, infectious diseases, and other time-delayed epidemiological processes.


2015 ◽  
Vol 282 (1819) ◽  
pp. 20151768 ◽  
Author(s):  
Orr Spiegel ◽  
Stephan T. Leu ◽  
Andrew Sih ◽  
Stephanie S. Godfrey ◽  
C. Michael Bull

Understanding space use remains a major challenge for animal ecology, with implications for species interactions, disease spread, and conservation. Behavioural type (BT) may shape the space use of individuals within animal populations. Bolder or more aggressive individuals tend to be more exploratory and disperse further. Yet, to date we have limited knowledge on how space use other than dispersal depends on BT. To address this question we studied BT-dependent space-use patterns of sleepy lizards ( Tiliqua rugosa ) in southern Australia. We combined high-resolution global positioning system (GPS) tracking of 72 free-ranging lizards with repeated behavioural assays, and with a survey of the spatial distributions of their food and refuge resources. Bayesian generalized linear mixed models (GLMM) showed that lizards responded to the spatial distribution of resources at the neighbourhood scale and to the intensity of space use by other conspecifics (showing apparent conspecific avoidance). BT (especially aggressiveness) affected space use by lizards and their response to ecological and social factors, in a seasonally dependent manner. Many of these effects and interactions were stronger later in the season when food became scarce and environmental conditions got tougher. For example, refuge and food availability became more important later in the season and unaggressive lizards were more responsive to these predictors. These findings highlight a commonly overlooked source of heterogeneity in animal space use and improve our mechanistic understanding of processes leading to behaviourally driven disease dynamics and social structure.


2006 ◽  
Vol 134 (6) ◽  
pp. 1266-1275 ◽  
Author(s):  
A. W. van de GIESSEN ◽  
M. BOUWKNEGT ◽  
W. D. C. DAM-DEISZ ◽  
W. van PELT ◽  
W. J. B. WANNET ◽  
...  

In The Netherlands, a national programme for the surveillance of zoonotic bacteria in farm animals has been operative since 1997. We describe the results of the surveillance of Salmonella spp. in flocks of laying hens and broilers and of Campylobacter spp. in broiler flocks in the period 1999–2002. The prevalence of Salmonella spp. in laying-hen flocks has significantly decreased from 21·1% in 1999 to 13·4% in 2002. This decreasing trend might indicate that the control measures taken by the poultry industry were effective. S. Enteritidis was the predominant serovar in laying hens accounting for one third of the positive flocks. Although prevalence estimates for Salmonella spp. in broiler flocks did not yield a significant decreasing trend in 1999–2002, a decrease in Salmonella prevalence to 11% was measured in 2002. During the study period, S. Paratyphi B var. Java emerged in broilers to become the predominant serovar in 2002 accounting for one third of the positive flocks. The prevalence of Campylobacter spp. in broiler flocks did not increase nor decrease continuously between 1999 and 2002, which roughly corresponds with the monitoring results from the poultry industry. In this period, the estimated flock prevalence roughly averaged around 20%, with C. jejuni being the predominant species. The approach of monitoring presented in this paper can serve as a blueprint for monitoring schemes in farm animal populations to be developed in the context of the EC Zoonoses Directive.


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