Spatial and temporal variation of five different pathogens and symbionts in nymphs in the Netherlands.

The incidence of diseases caused by pathogens transmitted by the tick vary over time and space through incompletely understood mechanisms. An important determinant of the disease risk is the density of infected ticks, which is the infection prevalence times the density of questing ticks. We therefore investigated the spatial and temporal variation of four pathogens and one of the most abundant symbionts in in questing nymphs over four years of monthly collections in 12 locations in the Netherlands. The infection prevalence of all microbes showed markedly different patterns with significant spatial variation for (), , , and , significant seasonal variation of (), , and and a significant interannual variation of . Despite its ubiquitous presence, no spatio-temporal variation was observed for the infection prevalence of . The variation in infection prevalence was generally smaller than the variation in the density of nymphs, which fluctuated substantially both seasonally and between locations. This means that the variation in the densities of infected nymphs for all pathogens was mostly the result of the variation in densities of nymphs. We also investigated whether there were positive or negative associations between the symbionts, and more specifically whether ticks infected with vertically transmitted symbionts like and , have a higher prevalence of horizontally transmitted symbionts, such as () and . We indeed found a clear positive association between and (). The positive association between and () was less clear and was only shown in two locations. Additionally, we found a clear positive association between () and , which are both transmitted by rodents. Our longitudinal study indicated strong between-location variation, some seasonal patterns and hardly any differences between years for most symbionts. Positive associations between symbionts were observed, suggesting that infection with a (vertically transmitted) symbiont may influence the probability of infection with other symbionts, or that there is a common underlying mechanism (e.g. feeding on rodents).