Dyczko Dagmara, Błażej Paweł, Kiewra Dorota
Department of Microbial Ecology and Acaroentomology, Faculty of Biological Sciences, University of Wroclaw, Przybyszewskiego 63, 51-148, Wroclaw, Poland.
Department of Bioinformatics and Genomics, Faculty of Biotechnology, University of Wroclaw, Joliot-Curie 14a, 50-383, Wroclaw, Poland.
Curr Res Parasitol Vector Borne Dis. 2024 Jul 8;6:100200. doi: 10.1016/j.crpvbd.2024.100200. eCollection 2024.
This study investigates the prevalence of spp. in tick populations in different forest habitat types (broadleaf forest, mixed broadleaf and coniferous forest, and coniferous forest) in south-western Poland. During the survey periods from April to June 2018 and 2019 a total of 494 ticks, including 374 nymphs, 60 females and 60 males, were tested for infections by nested PCR targeting the A gene. The overall infection rate was 42.3%; however, we observed statistically significant year-to-year variation. Infection rates varied between tick developmental stages and were significantly influenced by forest habitat type. As assessed by a generalized linear mixed model (GLMM), the highest infection rates were observed in mixed broadleaf and coniferous forests, while coniferous forests had a significant negative effect on infection prevalence. DNA sequencing of selected samples confirmed the predominance of (91.2%) and less frequent (8.8%). This study suggests that the forest habitat types can influence spp. infection in tick populations; however, a comprehensive understanding of all factors influencing the level of infection requires future study.
本研究调查了波兰西南部不同森林栖息地类型(阔叶林、阔叶针叶混交林和针叶林)蜱虫种群中 spp. 的流行情况。在2018年4月至6月以及2019年的调查期间,共对494只蜱虫进行了检测,其中包括374只若虫、60只雌虫和60只雄虫,通过针对A基因的巢式PCR检测其感染情况。总体感染率为42.3%;然而,我们观察到了具有统计学意义的逐年变化。感染率在蜱虫的不同发育阶段有所不同,并且受到森林栖息地类型的显著影响。通过广义线性混合模型(GLMM)评估,在阔叶针叶混交林中观察到最高的感染率,而针叶林对感染流行率有显著的负面影响。对选定样本的DNA测序证实了 占主导地位(91.2%),而 出现频率较低(8.8%)。本研究表明,森林栖息地类型可影响蜱虫种群中 spp. 的感染;然而,要全面了解影响感染水平的所有因素,还需要未来进一步研究。