CRISPR-Cas9-mediated host signal reduction for 18S metabarcoding of host-associated eukaryotes

Abstract

Metabarcoding-based methods for identification of host-associated eukaryotes have the potential to revolutionize parasitology and microbial ecology, yet significant technical challenges remain. In particular, highly abundant host reads can mask the presence of less-abundant target organisms, especially for sample types rich in host DNA (e.g., blood and tissues). Here, we present a new CRISPR-Cas9-mediated approach designed to reduce host signal by selective amplicon digestion, thus enriching clinical samples for eukaryotic endosymbiont sequences during metabarcoding. Our method achieves a nearly 76% increased efficiency in host signal reduction compared with no treatment and a nearly 60% increased efficiency in host signal reduction compared with the most commonly used published method. Furthermore, the application of our method to clinical samples allows for the detection of parasite infections that would otherwise have been missed.