Nagy Eszter, Benedek Ildikó, Zsolnai Attila, Halász Tibor, Csivincsik Ágnes, Ács Virág, Nagy Gábor, Tari Tamás
Institute of Wildlife Management and Wildlife Biology, Faculty of Forestry, University of Sopron, H-9400 Sopron, Hungary.
Institute of Animal Breeding, Kaposvár Campus, Hungarian University of Agriculture and Life Sciences, H-7400 Kaposvár, Hungary.
Pathogens. 2021 Jun 7;10(6):715. doi: 10.3390/pathogens10060715.
From 2016 to 2020, an investigation was carried out to identify the rate of spp. infections in European badgers in Hungary. During the study, the hearts and lungs of 50 animals were dissected in order to collect adult worms, the morphometrical characteristics of which were used for species identification. PCR amplification and an 18S rDNA-sequencing analysis were also carried out. Global and local spatial autocorrelation methods were used to detect high-rated and low-rated infected animal clusters. We conducted a binary logistic regression analysis along with hierarchical agglomerative clustering to determine the relation between selected biotic and abiotic variables, and the prevalence of an infection. We found a high prevalence (72%) and moderate mean intensity (14.1) of sp. infection. Morphology and sequencing revealed that all animals were infected by . The results of both spatial autocorrelations suggested that the spatial distribution of infected badgers was more spatially clustered than random. The results of an analysis of the correlation between habitat characteristics and infection showed that the infected animals could be associated with dry and open landscape habitats without extended and connected canopy. It is suggested that the territorial behaviour of badgers and the landscape-directed aggregation of potential intermediate hosts might be the drivers of an infection.
2016年至2020年期间，开展了一项调查，以确定匈牙利欧洲獾体内 spp. 的感染率。在研究过程中，解剖了50只动物的心脏和肺，以收集成虫，其形态特征用于物种鉴定。还进行了PCR扩增和18S rDNA测序分析。采用全局和局部空间自相关方法检测高感染率和低感染率的动物集群。我们进行了二元逻辑回归分析以及层次聚类分析，以确定所选生物和非生物变量与 感染患病率之间的关系。我们发现 sp. 感染的患病率很高（72%），平均强度适中（14.1）。形态学和测序结果表明，所有动物均感染了 。两种空间自相关分析的结果均表明，感染獾的空间分布在空间上比随机分布更聚集。栖息地特征与感染之间的相关性分析结果表明，受感染的动物可能与没有广阔且相连树冠层的干燥开阔景观栖息地有关。有人认为，獾的领地行为和潜在中间宿主的景观导向聚集可能是 感染的驱动因素。
