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Summary: The phage-bacteria interactions in the gut microbiome are critical for health and disease, but viruses of the human gut microbiome are poorly understood. Here, we present a simple and cost-efficient protocol for collecting viral-like particles (VLPs) from human fecal samples. We describe VLPs quantification using epifluorescence and TEM microscopy, followed by DNA sequencing and bioinformatics analysis. This protocol characterizes the gut phageome in normal-weight and obese children with metabolic syndrome. It is also suitable to conduct high-throughput studies for other diseases.For complete details on the use and execution of this profile, please refer to Bikel et al. (2021).

The advances in experimental methods and the development of high performance bioinformatic tools have substantially improved our understanding of microbial communities associated with human niches. Many studies have documented that changes in microbial abundance and composition of the human microbiome is associated with human health and diseased state. The majority of research on human microbiome is typically focused in the analysis of one level of biological information, i.e., metagenomics or metatranscriptomics. In this review, we describe some of the different experimental and bioinformatic strategies applied to analyze the 16S rRNA gene profiling and shotgun sequencing data of the human microbiome. We also discuss how some of the recent insights in the combination of metagenomics, metatranscriptomics and viromics can provide more detailed description on the interactions between microorganisms and viruses in oral and gut microbiomes. Recent studies on viromics have begun to gain importance due to the potential involvement of viruses in microbial dysbiosis. In addition, metatranscriptomic combined with metagenomic analysis have shown that a substantial fraction of microbial transcripts can be differentially regulated relative to their microbial genomic abundances. Thus, understanding the molecular interactions in the microbiome using the combination of metagenomics, metatranscriptomics and viromics is one of the main challenges towards a system level understanding of human microbiome.