Comprehensive profiling of the human intestinal DNA virome and prediction of disease-associated bacterial hosts in severe Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

Abstract

AbstractMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a disabling disorder of unknown etiology with severely affected patients being house- and/or bedbound. A historical association with chronic virus infection and subsequent recent reports correlating intestinal microbial dysbiosis with disease pathology prompted us to analyze the intestinal virome in a small cohort of severely-affected ME/CFS patients and same household healthy controls (SHHC). Datasets from whole metagenomic sequencing (WMS) and sequencing of virus-like particles (VLP)-enriched metagenomes from the same fecal sample yielded diverse, high-quality vOTUs with high read coverage and high genome completeness. The core intestinal virome was largely composed of tailed phages in the classCaudoviriceteswith no significant differences in alpha diversity between ME/CFS and SHHC groups. However, the WMS dataset had a higher Shannon measure than the VLP dataset (p< 0.0001), with VLP- and WMS-derived sequences indicating differential abundances within several viral families and different viral compositions in beta diversity. This confirms that combining different isolation methodologies identifies a greater diversity of viruses including extracellular phages and integrated prophages. DNA viromes and bacteriomes from ME/CFS and SHHC groups were comparable with no differences in any alpha or beta diversity measures. One vOTU derived from the VLP-derived dataset was assigned to ssDNA human virus smacovirus 1. Using anin-silicoapproach to predict cohort-based bacterial hosts, we identified members of theAnaerotruncusgenus interacting with unique viruses present in ME/CFS microbiomes; this may contribute to the GI microbial dysbiosis described in ME/CFS patients.