Shotgun metagenomics, from sampling to sequencing and analysis Christopher Quince1,^, Alan W. Walker2,^, Jared T. Simpson3,4, Nicholas J. Loman5, Nicola Segata6,* 1 Warwick Medical School, University of Warwick, Warwick, UK. 2 Microbiology Group, The Rowett Institute, University of Aberdeen, Aberdeen, UK. 3 Ontario Institute for Cancer Research, Toronto, Canada 4 Department of Computer Science, University of Toronto, Toronto, Canada. 5 Institute for Microbiology and Infection, University of Birmingham, Birmingham, UK. 6 Centre for Integrative Biology, University of Trento, Trento, Italy. ^ These authors contributed equally * Corresponding author: Nicola Segata (
[email protected]) Diverse microbial communities of bacteria, archaea, viruses and single-celled eukaryotes have crucial roles in the environment and human health. However, microbes are frequently difficult to culture in the laboratory, which can confound cataloging members and understanding how communities function. Cheap, high-throughput sequencing technologies and a suite of computational pipelines have been combined into shotgun metagenomics methods that have transformed microbiology. Still, computational approaches to overcome challenges that affect both assembly-based and mapping-based metagenomic profiling, particularly of high-complexity samples, or environments containing organisms with limited similarity to sequenced genomes, are needed. Understanding the functions and characterizing specific strains of these communities offer biotechnological promise in therapeutic discovery, or innovative ways to synthesize products using microbial factories, but can also pinpoint the contributions of microorganisms to planetary, animal and human health. Introduction High throughput sequencing approaches enable genomic analyses of ideally all microbes in a sample, not just those that are more amenable to cultivation. One such method, shotgun metagenomics, is the untargeted (“shotgun”) sequencing of all (“meta”) of the microbial genomes (“genomics”) present in a sample.