Spatial variability in prevalence and genospecies distributions of Borrelia burgdorferi sensu lato from ixodid ticks collected in southern Germany
Lyme borreliosis (LB) is the most common arthropod-borne disease in Europe and North America and is caused by members of the Borrelia burgdorferi sensu lato (Bbsl) species complex. These bacteria are transmitted by ixodid tick vectors and therefore human LB risk is influenced by the prevalence and d...
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Veröffentlicht in: | Ticks and tick-borne diseases 2021-01, Vol.12 (1), p.101589-101589, Article 101589 |
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Sprache: | eng |
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Zusammenfassung: | Lyme borreliosis (LB) is the most common arthropod-borne disease in Europe and North America and is caused by members of the Borrelia burgdorferi sensu lato (Bbsl) species complex. These bacteria are transmitted by ixodid tick vectors and therefore human LB risk is influenced by the prevalence and distribution of Bbsl genospecies within tick vectors throughout the wild. These distributions can easily change over spatiotemporal scales and, to understand LB risk fully, up to date information on prevalence and distribution of Bbsl is required. The last survey of Bbsl in southern Germany, including parts of the Munich metropolitan area, was completed in 2006 and new data is needed. Ixodid ticks were collected in seven plots located in and around Munich, Germany, from March to July 2019 and were screened for Bbsl. Borrelia burgdorferi s. l. positive ticks (52 adults, 158 nymphs) were found in all plots and adults (0–61.5 % Bbsl positive/plot) and nymphs (17.4–59.5 % Bbsl positive/plot) did not differ significantly in their overall Bbsl prevalence. The number of Bbsl positive nymphs did vary significantly between plots but the number of positive adults did not. In total, six Bbsl genospecies were located with B. afzelii and B. garinii dominating. Additionally, the relapsing-fever species B. miyamotoi was found in two sampling plots. Our results highlight the variability in Bbsl prevalence and genospecies distribution over short geographic distances and aid in understanding LB risk in and around the Munich metropolitan area. |
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ISSN: | 1877-959X 1877-9603 |
DOI: | 10.1016/j.ttbdis.2020.101589 |