scholarly journals Update of model for wild boar abundance based on hunting yield and first models based on occurrence for wild ruminants at European scale

2021 ◽  
Vol 18 (8) ◽  
Author(s):  
◽  
Sonia Illanas ◽  
Simon Croft ◽  
Graham C. Smith ◽  
Javier Fernández‐López ◽  
...  
Keyword(s):  
Wild Boar ◽  
Wild Ruminants

scholarly journals Parasitic infections in wild ruminants and wild boar

2011 ◽  
Vol 65 (5-6) ◽  
pp. 419-431 ◽  
Author(s):  
Tamara Ilic ◽  
Igor Stojanov ◽  
Sanda Dimitrijevic
Keyword(s):  
Wild Boar ◽  
Parasitic Infections ◽  
Zoonotic Infections ◽  
Wild Ruminants ◽  
The World ◽  
Parasitic Gastroenteritis ◽  
Game Hunting ◽  
Big Game Hunting ◽  
Wild Deer ◽  
Important Branch

Wild ruminants and wild boar belong to the order Artiodactyla, the suborders Ruminantia and Nonruminantia and are classified as wild animals for big game hunting, whose breeding presents a very important branch of the hunting economy. Diseases caused by protozoa are rarely found in wild ruminants in nature. Causes of coccidiosis, cryptosporidiosis, toxoplasmosis, sarcocystiosis, giardiasis, babesiosis, and theileriosis have been diagnosed in deer. The most significant helminthoses in wild ruminants are fasciosis, dicrocoeliasis, paramphistomosis, fascioloidosis, cysticercosis, anoplocephalidosis, coenurosis, echinococcosis, pulmonary strongyloidiasis, parasitic gastroenteritis, strongyloidiasis and trichuriasis, with certain differences in the extent of prevalence of infection with certain species. The most frequent ectoparasitoses in wild deer and doe are diseases caused by ticks, mites, scabies mites, and hypoderma. The most represented endoparasitoses in wild boar throughout the world are coccidiosis, balantidiasis, metastrongyloidiasis, verminous gastritis, ascariasis, macracanthorhynchosis, trichinelosis, trichuriasis, cystecercosis, echinococcosis, and less frequently, there are also fasciolosis and dicrocoeliasis. The predominant ectoparasitoses in wild boar are ticks and scabies mites. Knowledge of the etiology and epizootiology of parasitic infections in wild ruminants and wild boar is of extreme importance for the process of promoting the health protection system for animals and humans, in particular when taking into account the biological and ecological hazard posed by zoonotic infections.

scholarly journals Whole Genome Sequencing Refines Knowledge on the Population Structure of Mycobacterium bovis from a Multi-Host Tuberculosis System

2021 ◽  
Vol 9 (8) ◽  
pp. 1585
Author(s):  
Ana C. Reis ◽  
Liliana C. M. Salvador ◽  
Suelee Robbe-Austerman ◽  
Rogério Tenreiro ◽  
Ana Botelho ◽  
...  
Keyword(s):  
Population Structure ◽  
Whole Genome Sequencing ◽  
Wild Boar ◽  
Genome Sequencing ◽  
Mycobacterium Bovis ◽  
Red Deer ◽  
Variable Number Tandem Repeat ◽  
Variant Calling ◽  
Whole Genome ◽  
Network Analyses

Classical molecular analyses of Mycobacterium bovis based on spoligotyping and Variable Number Tandem Repeat (MIRU-VNTR) brought the first insights into the epidemiology of animal tuberculosis (TB) in Portugal, showing high genotypic diversity of circulating strains that mostly cluster within the European 2 clonal complex. Previous surveillance provided valuable information on the prevalence and spatial occurrence of TB and highlighted prevalent genotypes in areas where livestock and wild ungulates are sympatric. However, links at the wildlife–livestock interfaces were established mainly via classical genotype associations. Here, we apply whole genome sequencing (WGS) to cattle, red deer and wild boar isolates to reconstruct the M. bovis population structure in a multi-host, multi-region disease system and to explore links at a fine genomic scale between M. bovis from wildlife hosts and cattle. Whole genome sequences of 44 representative M. bovis isolates, obtained between 2003 and 2015 from three TB hotspots, were compared through single nucleotide polymorphism (SNP) variant calling analyses. Consistent with previous results combining classical genotyping with Bayesian population admixture modelling, SNP-based phylogenies support the branching of this M. bovis population into five genetic clades, three with apparent geographic specificities, as well as the establishment of an SNP catalogue specific to each clade, which may be explored in the future as phylogenetic markers. The core genome alignment of SNPs was integrated within a spatiotemporal metadata framework to further structure this M. bovis population by host species and TB hotspots, providing a baseline for network analyses in different epidemiological and disease control contexts. WGS of M. bovis isolates from Portugal is reported for the first time in this pilot study, refining the spatiotemporal context of TB at the wildlife–livestock interface and providing further support to the key role of red deer and wild boar on disease maintenance. The SNP diversity observed within this dataset supports the natural circulation of M. bovis for a long time period, as well as multiple introduction events of the pathogen in this Iberian multi-host system.

scholarly journals Zero-inflated-censored Weibull and gamma regression models to estimate wild boar population dispersal distance

2021 ◽  
Author(s):  
Eduardo de Freitas Costa ◽  
Silvana Schneider ◽  
Giulia Bagatini Carlotto ◽  
Tainá Cabalheiro ◽  
Mauro Ribeiro de Oliveira Júnior
Keyword(s):  
Wild Boar ◽  
Regression Models ◽  
Likelihood Function ◽  
Complex Structure ◽  
Dispersal Distance ◽  
Wild Boar Population ◽  
Gamma Distributions ◽  
Excess Of Zeros ◽  
Censored Observations ◽  
Positive Effect

AbstractThe dynamics of the wild boar population has become a pressing issue not only for ecological purposes, but also for agricultural and livestock production. The data related to the wild boar dispersal distance can have a complex structure, including excess of zeros and right-censored observations, thus being challenging for modeling. In this sense, we propose two different zero-inflated-right-censored regression models, assuming Weibull and gamma distributions. First, we present the construction of the likelihood function, and then, we apply both models to simulated datasets, demonstrating that both regression models behave well. The simulation results point to the consistency and asymptotic unbiasedness of the developed methods. Afterwards, we adjusted both models to a simulated dataset of wild boar dispersal, including excess of zeros, right-censored observations, and two covariates: age and sex. We showed that the models were useful to extract inferences about the wild boar dispersal, correctly describing the data mimicking a situation where males disperse more than females, and age has a positive effect on the dispersal of the wild boars. These results are useful to overcome some limitations regarding inferences in zero-inflated-right-censored datasets, especially concerning the wild boar’s population. Users will be provided with an R function to run the proposed models.

scholarly journals Hepatitis E Virus RNA Presence in Wild Boar Carcasses at Slaughterhouses in Italy

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1624
Author(s):  
Mario Forzan ◽  
Maria Irene Pacini ◽  
Marcello Periccioli ◽  
Maurizio Mazzei
Keyword(s):  
Wild Boar ◽  
Hepatitis E Virus ◽  
Foodborne Pathogen ◽  
Hepatitis E ◽  
Cross Contamination ◽  
Wild Animals ◽  
Prevalence Rates ◽  
Virus Rna ◽  
The World ◽  
Undercooked Meat

Hepatitis E virus (HEV) is a waterborne and foodborne pathogen largely spread around the world. HEV is responsible for acute hepatitis in humans and it is also diffused in domestic and wild animals. In particular, domestic pigs represent the main reservoir of the infection and particular attention should be paid to the consumption of raw and undercooked meat as a possible zoonotic vehicle of the pathogen. Several studies have reported the presence of HEV in wild boar circulating in European countries with similar prevalence rates. In this study, we evaluated the occurrence of HEV in wild boar hunted in specific areas of Tuscany. Sampling was performed by collecting liver samples and also by swabbing the carcasses at the slaughterhouses following hunting activities. Our data indicated that 8/67 (12%) of liver samples and 4/67 (6%) of swabs were positive for HEV RNA. The presence of HEV genome on swabs indicates the possible cross-contamination of carcass surfaces during slaughtering procedures. Altogether, our data indicated that it is essential to promote health education programmes for hunters and consumers to limit the diffusion of the pathogen to humans.

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