Strains of Ehrlichia chaffeensis in southern Indiana, Kentucky, Mississippi, and North Carolina

Genetic characterization of a novel Ehrlichia chaffeensis genotype from an Amblyomma tenellum tick from South Texas, USA

Ehrlichia chaffeensis is the causative agent of human monocytotropic ehrlichiosis (HME), a disease that ranges in severity from mild to fatal infection. Ehrlichia chaffeensis is maintained in a zoonotic cycle involving white-tailed deer (Odocoileus virginianus) as the main vertebrate reservoir and lone star ticks (Amblyomma americanum) as its principal vector. Through complete genomic analysis from human ehrlichial isolates and DNA sequences obtained from deer and tick specimens, nine strains of E. chaffeensis have been characterized. Few studies have examined the genetic diversity of E. chaffeensis in ticks, and some of these investigations have identified that the genetic sequences coincide with the circulating strains reported so far. Here, we report the first evidence of E. chaffeensis DNA from an unfed Amblyomma tenellum (formerly Amblyomma imitator) collected in South Texas. We characterized the genetic variation of this E. chaffeensis genotype using conserved gene markers such as rRNA, dsb, and groEL. We also used gene targets useful to distinguish genotypes, such as the variable length PCR target gene (VLPT) and 120-kDa gene, encoding the tandem-repeat proteins TRP32 and TRP120, respectively. Our results suggest a novel E. chaffeensis genotype that exhibited greater variability than other genotypes of E. chaffeensis and highlights the role for A. tenellum as a potential vector of E. chaffeensis.

A Bayesian spatio-temporal model for forecasting the prevalence of antibodies to Ehrlichia species in domestic dogs within the contiguous United States

Background

Dogs in the United States are hosts to a diverse range of vector-borne pathogens, several of which are important zoonoses. This paper describes factors deemed to be significantly related to the prevalence of antibodies to Ehrlichia spp. in domestic dogs, including climatic conditions, geographical factors, and societal factors. These factors are used in concert with a spatio-temporal model to construct an annual seroprevalence forecast. The proposed method of forecasting and an assessment of its fidelity are described.

Methods

Approximately twelve million serological test results for canine exposure to Ehrlichia spp. were used in the development of a Bayesian approach to forecast canine infection. Data used were collected on the county level across the contiguous United States from routine veterinary diagnostic tests between 2011–2015. Maps depicting the spatial baseline Ehrlichia spp. prevalence were constructed using Kriging and head-banging smoothing methods. Data were statistically analyzed to identify factors related to antibody prevalence via a Bayesian spatio-temporal conditional autoregressive (CAR) model. Finally, a forecast of future Ehrlichia seroprevalence was constructed based on the proposed model using county-level data on five predictive factors identified at a workshop hosted by the Companion Animal Parasite Council and published in 2014: annual temperature, percentage forest coverage, percentage surface water coverage, population density and median household income. Data were statistically analyzed to identify factors related to disease prevalence via a Bayesian spatio-temporal model. The fitted model and factor extrapolations were then used to forecast the regional seroprevalence for 2016.

Results

The correlation between the observed and model-estimated county-by-county Ehrlichia seroprevalence for the five-year period 2011–2015 is 0.842, demonstrating reasonable model accuracy. The weighted correlation (acknowledging unequal sample sizes) between 2015 observed and forecasted county-by-county Ehrlichia seroprevalence is 0.970, demonstrating that Ehrlichia seroprevalence can be forecasted accurately.

Conclusions

The forecast presented herein can be an a priori alert to veterinarians regarding areas expected to see expansion of Ehrlichia beyond the accepted endemic range, or in some regions a dynamic change from historical average prevalence. Moreover, this forecast could potentially serve as a surveillance tool for human health and prove useful for forecasting other vector-borne diseases.

Laboratory-infected Ehrlichia chaffeensis female adult Amblyomma americanum salivary glands reveal differential gene expression

Ticks are efficient ectoparasites that are able to steal blood, a rich source of nutrients, from their vertebrate hosts. The nymphal developmental stage of ticks plays an important role for pathogen transmission to human and other animal hosts. In this article, we describe a bloodmeal-based sex differentiation tool to generate adult female ticks infected with Ehrlichia chaffeensis to investigate vector-pathogen interactions (functional genomics and gene expression studies). We demonstrate that there is a correlation between the uptake of blood during nymph attachment and the molting into male or female adult ticks. The data obtained from the bloodmeal experiments suggest that nymphs that molt into females presumably imbibe more blood than those that become male during the nymphal stage. The natural low E. chaffeensis infection rate in female adult Amblyomma americanum (L.) is a major limiting factor to investigate Ehrlichia-Amblyomma interactions. To generate Ehrlichia-infected female adult ticks, we inoculated obligate E. chaffeensis (Arkansas strain) infected DH82 cells into heavier engorged nymphs (> 12 mg) and allowed them to molt. Freshly molted adults were used to test the E. chaffeensis infection rate. E. chaffeensis genomic DNA was extracted from individual unfed and partially blood fed tick midgut and salivary gland tissues. The tissue samples were tested for the presence of E. chaffeensis using the nested polymerase chain reaction process. Polymerase chain reaction-amplified fragments were detected in unfed and partially fed tissues, demonstrating successful E. chaffeensis infection of tick tissues. This method was used to successfully show differential expression of selected tick genes in E. chaffeensis-infected midguts and salivary glands.