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Evidence for Geographic Variation in Life-Cycle Processes Affecting Phenology of the Lyme Disease Vector Ixodes scapularis (Acari: Ixodidae) in the United States.
Ogden, Nicholas H; Pang, Genevieve; Ginsberg, Howard S; Hickling, Graham J; Burke, Russell L; Beati, Lorenza; Tsao, Jean I.
Afiliação
  • Ogden NH; Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, St-Hyacinthe, QC, Canada.
  • Pang G; South African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, Western Cape, South Africa.
  • Ginsberg HS; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI.
  • Hickling GJ; USGS Patuxent Wildlife Research Center Coastal Field Station, Kingston, RI.
  • Burke RL; Center for Wildlife Health, University of Tennessee Institute of Agriculture, Knoxville, TN.
  • Beati L; Department of Biology, Hofstra University, Hempstead, NY.
  • Tsao JI; Department of Biology, Georgia Southern University, Statesboro, GA.
J Med Entomol ; 55(6): 1386-1401, 2018 Oct 25.
Article em En | MEDLINE | ID: mdl-29986046
ABSTRACT
The seasonal activity pattern of immature Ixodes scapularis Say (Acari Ixodidae) varies geographically in the United States, which may affect the efficiency of transmission cycles of pathogens transmitted by this species. To study the factors that determine seasonality, a multiyear study at seven sites across the geographic range of I. scapularis systematically collected questing ticks by flagging/dragging, and feeding ticks by capture of their hosts. The observed phenology patterns were consistent with previous studies reporting geographic variation in seasonal tick activity. Predictions of seasonal activity for each site were obtained from an I. scapularis simulation model calibrated using contemporaneous weather data. A range of scenarios for life-cycle processes-including different regimes of temperature-independent behavioral and developmental diapause, variations in temperature-development rate relationships, and temperature-dependent tick activity-were used in model formulations. These formulations produced a range of simulations of seasonal activity for each site and were compared against the field observed tick data using negative binomial regression models. Best fit scenarios were chosen for each site on the basis of Akaike's information criterion and regression model parameters. This analysis suggests that temperature-independent diapause mechanisms explain some key observed variations in I. scapularis seasonality, and are responsible in part for geographic variations in I. scapularis seasonality in the United States. However, diapause appears to operate in idiosyncratic ways in different regions of the United States, so further studies on populations in different regions will be needed to enable predictive modeling of climatic and climate change effects on I. scapularis seasonal activity and pathogen transmission.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vetores Aracnídeos / Ixodes / Diapausa de Inseto Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: J Med Entomol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vetores Aracnídeos / Ixodes / Diapausa de Inseto Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: America do norte Idioma: En Revista: J Med Entomol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Canadá