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Wednesday, February 8 • 11:20am - 11:40am
Technical Session. Evaluating Gene Expression in Chronic Wasting Disease Infected White-tailed Deer (Odocoileus virginianus)

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AUTHORS: Emma K. Trone*, Christopher N. Jacques, James T. Lamer, Paige Zick - Western Illinois University; Guoqing Lu, Jun Wang - University of Nebraska-Omaha; Paul A. Shelton, Illinois Department of Natural Resources

ABSTRACT: Chronic wasting disease (CWD) is a type of transmissible spongiform encephalopathy (TSE) which affects cervid species throughout North America. The disease is both communicable and transmissible and there is no treatment currently available. This research evaluated gene-expression in CWD-infected and non-infected white-tailed deer collected by Illinois Department of Natural Resource game managers during annual population reduction (e.g., sharpshooting) and disease monitoring efforts throughout the CWD-endemic area of northcentral Illinois. We used next generation sequencing (NGS) to analyze tissue samples from CWD-infected deer euthanized by IDNR sharpshooters during winter 2015 (February – March 2015). Specifically, we used the Illumina HiSeq 2500 Sequencing System (Illumina Inc., San Diego, CA, USA) to quantify and map the transcriptomes de novo, and identify novel and known genes from CWD-infected (n=5) and non-infected (n=5) deer. Preliminary results indicate 59 differentially expressed genes, of which 23 can be annotated using the Blast2GO database. Molecular functions of these genes include binding, catalytic activity and receptor activity. Specifically, we have identified ADIPOQ and CCL3 as differentially expressed. These genes are responsible for regulation of tumor necrosis factor in a typical immune response. Unidentified genes may be previously un-described cervid genes or related to CWD infection. Annotation and validation of differentially expressed genes is necessary when creating a genetic profile. Identification of differentially expressed genes involved in the pathogenesis of CWD may enable researchers and wildlife managers throughout Illinois to predict the infectious status of harvested deer using gene expression (transcriptome) profiles developed from this study.

Wednesday February 8, 2017 11:20am - 11:40am CST
Grand Ballroom C