Prevalence of common tick-borne pathogens in white-tailed deer and coyotes in south Texas.

Determining which wildlife hosts are involved in the enzootic cycles of tick-borne diseases (TBD) enables enhanced surveillance and risk assessment of potential transmission to humans and domestic species. Currently, there is limited data to indicate which tick-borne pathogens (TBP) can infect coyotes. Additionally, limited surveillance data for white-tailed deer (WTD) in south Texas is available. The purpose of this study was to detect current infections of common TBP in coyotes and WTD in south Texas, which represents a transboundary region and common site for animal migrations across the U.S.-Mexico border. A patent pending real-time PCR assay, the TickPath layerplex test, was used to screen whole-blood samples for species from Borrelia, Rickettsia, Ehrlichia, Anaplasma, and Babesia genera. Conventional PCR and subsequent sequencing of positive samples confirmed the pathogen species. Of 122 coyote samples, 11/122 (9.0%) were positive for Babesia vogeli and 1/122 (0.8%) was positive for Borrelia turicatae. Of 245 WTD samples, 1/245 (0.4%) was positive for Anaplasma platys, 4/245 (1.6%) were positive for Ehrlichia chaffeensis, and 18/245 (7.3%) were positive for Theileria cervi. All positive samples from both species, except for one coyote, were collected from counties located in south Texas along the U.S.Mexico border. One coyote positive for B. vogeli originated from a county in northern Texas. The results from this study depicts the first known molecular detection of B. turicatae in a coyote, and demonstrates that coyotes and WTDs can potentially serve as sentinels for several zoonotic TBD as well as TBD that affect domestic animals.

Dynamics of animal joint space use: a novel application of a time series approach.

BACKGROUND: Animal use is a dynamic phenomenon, emerging from the movements of animals responding to a changing environment. Interactions between animals are reflected in patterns of joint space use, which are also dynamic. High frequency sampling associated with GPS telemetry provides detailed data that capture space use through time. However, common analyses treat joint space use as static over relatively long periods, masking potentially important changes. Furthermore, linking temporal variation in interactions to covariates remains cumbersome. We propose a novel method for analyzing the dynamics of joint space use that permits straightforward incorporation of covariates. This method builds upon tools commonly used by researchers, including kernel density estimators, utilization distribution intersection metrics, and extensions of linear models. METHODS: We treat the intersection of the utilization distributions of two individuals as a time series. The series is linked to covariates using copula-based marginal beta regression, an alternative to generalized linear models. This approach accommodates temporal autocorrelation and the bounded nature of the response variable. Parameters are easily estimated with maximum likelihood and trend and error structures can be modeled separately. We demonstrate the approach by analyzing simulated data from two hypothetical individuals with known utilization distributions, as well as field data from two coyotes (Canis latrans) responding to appearance of a carrion resource in southern Texas. RESULTS: Our analysis of simulated data indicated reasonably precise estimates of joint space use can be achieved with commonly used GPS sampling rates (s.e.=0.029 at 150 locations per interval). Our analysis of field data identified an increase in spatial interactions between the coyotes that persisted for the duration of the study, beyond the expected duration of the carrion resource. Our analysis also identified a period of increased spatial interactions before appearance of the resource, which would not have been identified by previous methods. CONCLUSIONS: We present a new approach to the analysis of joint space use through time, building upon tools commonly used by ecologists, that permits a new level of detail in the analysis of animal interactions. The results are easily interpretable and account for the nuances of bounded serial data in an elegant way.

Novel 25 kb Deletion of MERTK Causes Retinitis Pigmentosa With Severe Progression.

Purpose: Retinitis pigmentosa (RP) describes a complex group of inherited retinal dystrophies with almost 300 reported genes and loci. We investigated the genetic etiology of autosomal recessive RP (arRP) in a large kindred with 5 affected family members, who reside on the island of Newfoundland, Canada. Methods: Genetic linkage analysis was performed on 12 family members (Infinium HumanOmni2.5-8 BeadChip). Whole exome sequencing analysis (Illumina HiSeq) was performed on one affected individual. A custom pipeline was applied to call, annotate, and filter variants. FishingCNV was used to scan the exome for rare copy number variants (CNVs). Candidate CNVs subsequently were visualized from microarray data (CNVPartition v.3.1.6.). MERTK breakpoints were mapped and familial cosegregation was tested using Sanger Sequencing. Results: We found strong evidence of linkage to a locus on chromosome 2 (logarithm of the odds [LOD] 4.89 [θ = 0]), at an interval encompassing the MERTK gene. Whole exome sequencing did not uncover candidate point mutations in MERTK, or other known RP genes. Subsequently, CNV analysis of the exome data and breakpoint mapping revealed a 25,218 bp deletion of MERTK, encompassing exons 6 to 8, with breakpoints in introns 5 (chr2:112,725,292) and 8 (chr2:112,750,421). A 48 bp insertion sequence was buried within the breakpoint; 18 bps shared homology to MIR4435-2HG and LINC00152, and 30 bp mapped to MERTK. The deletion cosegregated with arRP in the family. Conclusions: This study describes the molecular and clinical characterization of an arRP family segregating a novel 25 kb deletion of MERTK. These findings may assist clinicians in providing a diagnosis for other unsolved RP cases.