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1.
Int J Parasitol Parasites Wildl ; 25: 100987, 2024 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-39315341

RESUMEN

Toxoplasma gondii infections in small mammals are important because they serve as source of infection for the felids who excrete environmentally resistant oocysts in their feces. Here, the authors sought evidence for T. gondii infection in shrews and rodents in Armenia for the first time. Toxoplasma gondii DNA was detected in tissues of trapped animals using a specific PCR targeting gene with a non-coding fragment length of 529 bp. Toxoplasma gondii DNA was detected in 15 out of 137 (10.9%) samples from small mammals from 6 different localities of Armenia for the first time.

2.
Iran J Parasitol ; 15(3): 452-456, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33082812

RESUMEN

BACKGROUND: More than a hundred species of mammals, birds, and reptiles are infected by nematodes of the Trichinella genus worldwide. Although, Trichinella spp. are widely distributed in neighboring countries including Georgia, Azerbaijan, Turkey and Iran, no study was conducted in Armenia since 1980's. METHODS: In 2017-2018, five muscle samples belonging to Armenian lynx, otter, wild boar, fox and wolf were tested for Trichinella spp. and recovered larvae were identified by multiplex PCR technique. RESULTS: Twenty-six larvae/gram and one larva/gram were found in lynx and fox samples respectively. They were identified as T. britovi. CONCLUSION: So far only two species were identified in Armenia, T. spiralis and T. pseudospiralis, and this is the first time that T. britovi is reported in Armenia.

3.
Integr Zool ; 3(4): 322-32, 2008 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-21396082

RESUMEN

It is important to predict how many individuals of a predator species can survive in a given area on the basis of prey sufficiency and to compare predictive estimates with actual numbers to understand whether or not key threats are related to prey availability. Rugged terrain and low detection probabilities do not allow for the use of traditional prey count techniques in mountain areas. We used presence-absence occupancy modeling and camera-trapping to estimate the abundance and densities of prey species and regression analysis to predict leopard (Panthera pardus) densities from estimated prey biomass in the mountains of the Nuvadi area, Meghri Ridge, southern Armenia. The prey densities were 12.94 ± 2.18 individuals km(-2) for the bezoar goat (Capra aegagrus), 6.88 ± 1.56 for the wild boar (Sus scrofa) and 0.44 ± 0.20 for the roe deer (Capreolus capreolus). The detection probability of the prey was a strong function of the activity patterns, and was highest in diurnal bezoar goats (0.59 ± 0.09). Based on robust regression, the estimated total ungulate prey biomass (720.37 ± 142.72 kg km(-2) ) can support a leopard density of 7. 18 ± 3.06 individuals 100 km(-2) . The actual leopard density is only 0.34 individuals 100 km(-2) (i.e. one subadult male recorded over the 296.9 km(2) ), estimated from tracking and camera-trapping. The most plausible explanation for this discrepancy between predicted and actual leopard density is that poaching and disturbance caused by livestock breeding, plant gathering, deforestation and human-induced wild fires are affecting the leopard population in Armenia.

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