Viromics, or the untargeted metagenomic sequencing of the viral size fraction of mixed communities, can provide insights into the diversity, evolution, and ecology of uncultured viruses. Since the early efforts to catalog gut viral communities over 20 years ago, which notably used methods developed for environmental samples like seawater1, viromics approaches have continued to enable discoveries in viral ecology within the human microbiome2. However, there is no single universal viromics protocol, and variations in techniques can impact sequencing results3,4, ultimately influencing the interpretation of viral community dynamics and hindering inter-study comparisons. Optimized protocols, combined with a thorough understanding of how methodological choices shape virome profiles, are needed to robustly characterize the human virosphere.
While there is no universal viromics protocol, the general basis of viromics methods involves physically separating and concentrating extracellular virus-like particles (virions) based on their size and/or density, removing free nucleic acids (derived in part from cellular debris or compromised viral capsids) prior to virion lysis, and extracting DNA and/or RNA for sequencing. Some viromics techniques select for or against specific viral types, whether as an intentional choice by researchers or an unintended methodological limitation. Syringe or vacuum filtration is frequently used to remove microbial cells and other debris, and the filter size inherently affects the quality and composition of the recoverable virome. For example, filtration can increase virome purity5, but it may exclude larger viral particles6,7. Virion concentration methods, such as ultracentrifugation, polyethylene glycol (PEG) precipitation, density gradient ultracentrifugation, and ultrafiltration, also have trade-offs among purity, throughput, and equipment costs3,8. Multiple buffer chemistries are known to be effective for viromics. They may not have outsized impacts on virome characterization9, but storage and resuspension buffers can still affect virus recovery and the virome profiles generated from bioinformatic analysis10,11. Lastly, as viral nucleic acid concentrations can be low in natural samples, many studies opt to amplify viral DNA before library construction (e.g., by multiple displacement amplification (MDA) or sequence-independent single-primer amplification (SISPA)). Yet some of these techniques introduce significant bias12,13. Overall, while many viromics methods can successfully generate viromes, optimized protocols that acknowledge biases and are somewhat standardized will enable accurate and reproducible virome research.
This article presents a flexible workflow for generating viromes from human stool samples. Adapted from proven soil viromics techniques14,15,16, this protocol includes several steps that facilitate modification, enabling researchers to adapt it to their own equipment and research needs. The standard soil viromics method outlined below, successfully applied to both soil and frozen stool samples, produces high-quality viromes without a viral DNA amplification step prior to library construction. The suggestions for protocol modifications have been tested to varying degrees in other studies, but their specific, downstream effects on human stool virome sequences were not examined here.