Long-Read Nanopore-Based Sequencing of Anelloviruses
Year: 2024
Type: article
Abstract: Routinely used metagenomic next-generation sequencing (mNGS) techniques often fail to detect low-level viremia (<104 copies/mL) and appear biased towards viruses with linear genomes. These limitations hinder the capacity to comprehensively characterize viral infections, such as those attributed to the Anelloviridae family. These near ubiquitous non-pathogenic components of the human virome have circular single-stranded DNA genomes that vary in size from 2.0 to 3.9 kb and exhibit high genetic diversity. Hence, species identification using short reads can be challenging. Here, we introduce a rolling circle amplification (RCA)-based metagenomic sequencing protocol tailored for circular single-stranded DNA genomes, utilizing the long-read Oxford Nanopore platform. The approach was assessed by sequencing anelloviruses in plasma drawn from people who inject drugs (PWID) in two geographically distinct cohorts. We detail the methodological adjustments implemented to overcome difficulties inherent in sequencing circular genomes and describe a computational pipeline focused on anellovirus detection. We assessed our protocol across various sample dilutions and successfully differentiated anellovirus sequences in conditions simulating mixed infections. This method provides a robust framework for the comprehensive characterization of circular viruses within the human virome using the Oxford Nanopore.
Source: Viruses
DOI: 10.3390/v16050723
Institutions: Johns Hopkins University, Johns Hopkins Medicine, Yale University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,955
Awards: Molecular Networks and Deep Learning for Targeted HIV Interventions among PWID, G252691468, Characterization of plasma virome in people who inject drugs to identify early transmission networks of HIV and other bloodborne infections, Leveraging the plasma virome as a biological indicator of HIV risk and transmission networks among people who inject drugs
OpenAlex ID: W4396592292
