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      Landscape determinants of density of blacklegged ticks, vectors of Lyme disease, at the northern edge of their distribution in Canada

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          Abstract

          In eastern North America, including Canada, Lyme disease is caused by Borrelia burgdorferi sensu stricto and transmitted to humans by the blacklegged tick, Ixodes scapularis. The last decade has seen a growing incidence of Lyme disease in Canada, following the northward range expansion of I. scapularis tick populations from endemic areas in eastern United States. This may be attributable to movement of the many hosts that they parasitize, including songbirds, deer and small mammals. In this study, we wanted to test the effect of spatial, temporal and ecological variables, on blacklegged tick density and infection rates, near the northern limit of their distribution in Ontario and Quebec, Canada. We found an effect of both proportion of forested areas and distance to roads, on density of I. scapularis ticks and prevalence of infection by B. burgdorferi. We also found an effect of both sampling year and ordinal sampling data on prevalence of infection by B. burgdorferi. In six adjacent sites showing evidence of reproducing I. scapularis populations, we found that forest composition and structure influenced density of I. scapularis ticks. Our results suggest that blacklegged tick density and infection rate in Canada may be influenced by a variety of factors.

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          A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion

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            Multiplex real-time PCR for detection of anaplasma phagocytophilum and Borrelia burgdorferi.

            A multiplex real-time PCR assay was developed for the simultaneous detection of Anaplasma phagocytophilum and Borrelia burgdorferi. The assay was tested on various Anaplasma, Borrelia, Erhlichia, and Rickettsia species, as well as on Bartonella henselae and Escherichia coli, and the assay was found to be highly specific for A. phagocytophilum and the Borrelia species tested (B. burgdorferi, B. parkeri, B. andersonii, and B. bissettii). The analytical sensitivity of the assay is comparable to that of previously described nested PCR assays (A. phagocytophilum, 16S rRNA; B. burgdorferi, fla gene), amplifying the equivalent of one-eighth of an A. phagocytophilum-infected cell and 50 borrelia spirochetes. The dynamic range of the assay for both A. phagocytophilum and B. burgdorferi was >/=4 logs of magnitude. Purified DNA from A. phagocytophilum and B. burgdorferi was spiked into DNA extracted from uninfected ticks and from negative control mouse and human bloods, and these background DNAs were shown to have no significant effect on sensitivity or specificity of the assay. The assay was tested on field-collected Ixodes scapularis ticks and shown to have 100% concordance compared to previously described non-probe-based PCR assays. To our knowledge, this is the first report of a real-time multiplex PCR assay that can be used for the simultaneous and rapid screening of samples for A. phagocytophilum and Borrelia species, two of the most common tick-borne infectious agents in the United States.
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              Effect of Forest Fragmentation on Lyme Disease Risk

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                Author and article information

                Contributors
                benoit.talbot@uottawa.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 November 2019
                13 November 2019
                2019
                : 9
                : 16652
                Affiliations
                [1 ]ISNI 0000 0001 2182 2255, GRID grid.28046.38, School of Epidemiology and Public Health, , University of Ottawa, ; Ottawa, ON Canada
                [2 ]ISNI 0000 0001 0805 4386, GRID grid.415368.d, Centre for Food-borne, , Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, ; Saint-Hyacinthe, QC Canada
                [3 ]ISNI 0000 0001 2292 3357, GRID grid.14848.31, Department of Pathology and Microbiology, Faculty of Veterinary Medicine, , Université de Montréal, ; Sainte-Hyacinthe, QC Canada
                Author information
                http://orcid.org/0000-0002-3567-1213
                Article
                50858
                10.1038/s41598-019-50858-x
                6853933
                31723147
                187e0003-d32a-4d89-b495-fc90c295c9d9
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 April 2019
                : 16 September 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100011094, Public Health Agency of Canada (Agence de la Santé Publique du Canada);
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                ecological epidemiology,ecological modelling
                Uncategorized
                ecological epidemiology, ecological modelling

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