Trich-tracker - a practical tool to trace Trichinella spiralis transmission based on rapid, cost-effective sampling of genome-wide genetic variation.

Molecular epidemiology using traditional sequencing has been notoriously difficult in inbred parasites due to a lack of genetic variation available for discriminating among parasites. Next generation sequencing techniques offer a solution to this problem by increasing the number of loci that can be sequenced. Here, we introduce Trich-tracker, a tool that makes efficient use of diagnostic variation distributed throughout the genome of Trichinella spiralis to more rapidly, and conclusively, resolve connections and distinctions among focal outbreaks of T. spiralis. In particular, we rapidly characterised genetic variation among a sample of parasites from Polish farms and wildlife, sampling genomic variation using double digest restriction site-associated DNA sequencing (ddRADseq). Approximately 400,000 bases of sequence were generated from each sample and shown to be distributed across the genome with single nucleotide polymorphisms occurring at a frequency of approximately one base in 10,000. Both phylogenetic and Bayesian clustering analyses indicated that ddRADseq genotypes formed distinct clusters for specific outbreaks and were quite distinct from wild boar samples. Two of the investigated outbreaks were more similar to each other than to other outbreak samples, suggesting a link between these outbreaks. Hence, the Trich-tracker procedure identified informative genomic variation which afforded unprecedented epidemiological resolution. Trich-tracker is very flexible tool, quickly and inexpensively mining genomes of even highly inbred populations of T. spiralis to support outbreak investigations. The simplicity of the entire procedure, and time and cost effectiveness of Trich-tracker support its practical application in ongoing Trichinella outbreaks. The discriminating power of this tool is tunable and scalable, allowing application in a variety of epidemiological contexts, and is easily adapted to other parasite systems.
(Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)