Abstract
AbstractPolymorphism in innate immune genes in host populations can structure spatial variation in the prevalence of infectious diseases. In Europe, Borrelia afzelii is an important tick-borne pathogen of small mammals including the bank voles (Myodes glareolus). The Toll-like receptor 2 (TLR2) is an innate immune receptor that is important for detecting Borrelia burgdorferi sensu lato pathogens. The TLR2 gene is polymorphic in bank vole populations and is classified into four distinct clusters: C1, C2, C3, and C4. The C2 and C4 clusters versus the C1 and C3 clusters are associated with lower versus higher infection prevalence, respectively. We detected three TLR2 clusters in 487 bank voles from 30 populations in NE Poland: 84.2% of the obtained sequences belonged to the C1 variant, 7.2% to C2, and 8.6% to C3. However, no clear spatial structure of TLR2 clusters among the populations was detected. B. afzelii infection prevalence across all studied individuals was 12.1% and varied from 0 to 37.5% among populations. There were no significant differences in B. afzelii prevalence among voles carrying alleles of different TLR2 clusters, or between individuals belonging to two mtDNA lineages. Most infected individuals were adults, and males were infected more often than females. There was no significant relationship between the prevalence of TLR2 clusters in the vole populations and climatic and environmental factors within the study area. We therefore could not confirm an adaptive role of the TLR2 C2 alleles in reducing B. afzelii infection prevalence in bank voles.
Funder
National Science Centre, Poland
Foundation for Polish Science
Publisher
Springer Science and Business Media LLC
Subject
Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics
Reference76 articles.
1. Bartoń K (2014) MuMIn: multi-model inference. R package, version 1.10.0. Available at: http://cran.r-project.org/web/packages/MuMIn/MuMIn.pdf
2. Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48. https://doi.org/10.18637/jss.v067.i01
3. Bunikis J, Tsao J, Luke CJ, Luna MG, Fish D, Barbour AG (2004) Borrelia burgdorferi infection in a natural population of Peromyscus leucopus mice: a longitudinal study in an area where Lyme borreliosis is highly endemic. J Infect Dis 189:1515–1523. https://doi.org/10.1086/382594
4. Burnham KP, Anderson DR (2002) Model selection and multi-model inference: a practical information-theoretic approach. Springer, New York
5. Cayol C, Koskela E, Mappes T, Siukkola A, Kallio ER (2017) Temporal dynamics of the tick Ixodes ricinus in northern Europe: epidemiological implications. Parasites Vectors 10:166. https://doi.org/10.1186/s13071-017-2112-x
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献