Serum and blood samples from 36 game animals, shot during the hunting seasons 2007-2009, were collected and analyzed for the presence of Trypanosoma spp. by three methods: isolation, polymerase chain reaction (PCR), and serology. Only fissiped animals were included, four different ruminants and wild boar. Trypanosomes could be isolated from two of the animals, and eight had detectable parasite DNA. Seven animals had high titers of anti-trypanosoma IgG antibodies. The two isolated strains, one from roe dear and one from European elk, were determined to Trypanosoma theileri by partial DNA sequencing of the 18S ribosomal gene. In the seven boars, no Trypanosoma were detected, but four out of seven strongly positive serological samples came from this group. This is the first study in Scandinavia on the presence of Trypanosoma in game animals. The results indicate that trypanosomiasis is frequently occurring among Swedish game animals.
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http://dx.doi.org/10.1007/s00436-011-2462-9 | DOI Listing |
Hist Philos Life Sci
January 2025
Department Civilization and Forms of Knowledge, University of Pisa, Pisa, PI, Italy.
The selected effects theory is supposed to provide a fully naturalistic basis for statements about what biological traits or processes are for without appeal to final causes or intelligent design. On the selected effects theory, biologists are allowed to say, for instance, that hindwing eyespots on butterfly wings serve to deflect predators' attacks away from vital organs because a similar fitness-enhancing effect explains why eyespots themselves were favoured by natural selection and persisted in the population. This is known as the explanatory dimension of the selected effects theory.
View Article and Find Full Text PDFEcol Evol
January 2025
Department of Ecology, Evolution, and Marine Biology University of California Santa Barbara Santa Barbara California USA.
Trade-offs between food acquisition and predator avoidance shape the landscape-scale movements of herbivores. These movements create landscape features, such as game trails, which are paths that animals use repeatedly to traverse the landscape. As such, these trails integrate behavioral trade-offs over space and time.
View Article and Find Full Text PDFBMC Vet Res
January 2025
Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Via Federico Delpino 1, Naples, 80137, Italy.
Background: Wild game meat has over the years gained popularity across the globe as it is considered a food source with high protein content, low fat content, and a balanced composition of fatty acids and minerals, which are requirements for a healthy diet. Despite this popularity, there is a concern over its safety as many species of wildlife are reservoirs of zoonotic diseases including those of bacterial origin, more so antibiotic-resistant bacteria.
Methods: This study aimed to describe the prevalence of antibiotic-resistant bacteria in mammalian wild game, following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.
Vet Res Commun
January 2025
Department of Clinical Sciences and Translational Medicine, Faculty of Medicine, University of Rome "Tor Vergata", Via Montpellier 1, Rome, 001 33, Italy.
In our study, fancy southern platyfish Xiphophorus maculatus (Cyprinodontiformes, Poeciliidae) were examined due to breathing disorders and mortality. Fish came from Vietnam farm and were redistributed by international wholesaler. In fish, loss of appetite and gasping near the water surface was observed.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.
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