Calculating fast differential genome coverages among metagenomic sources using micov

Breadth of coverage, the proportion of a reference genome covered by at least one sequencing read, is critical for interpreting metagenomic data, informing analyses from genome assembly to taxonomic profiling. However, existing tools typically summarize coverage breadth at the whole-genome or aggregate-sample level, missing informative variation along genomes and between sample groups. Here we introduce MIcrobiome COVerage (micov), a tool that computes and compares per-sample breadth of coverage across many genomes and samples. micov offers two key advances: (1) rapid cumulative coverage breadth calculations specific to each sample type, and (2) detection of differential coverage breadth along genomes. Applying micov to three metagenomic datasets, we show that it identifies a genomic region in Prevotella copri that explains variation in community composition independent of host country of origin, uncovers dietary association with a partially annotated region in an uncharacterized Lachnospiraceae genome, enabling hypothesis generation for genes of unknown function, and improves sensitivity in low-biomass settings by detecting a single genomic copy of enteropathogenic Escherichia coli (EPEC) in wastewater and distinguishing Mediterraneibacter gnavus across specimen types.

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Publication Details

Journal
Communications Biology
Published
2025-11-20
DOI
https://doi.org/10.1038/s42003-025-09007-6
Citations
5
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
4.03

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article

Calculating fast differential genome coverages among metagenomic sources using micov

Hiutung Chu, Se Jin Song, Suzanne Devkota, Evguenia Kopylova et al.
5 citations
Communications Biology
Genomics and Phylogenetic Studies
4.03
article

Calculating fast differential genome coverages among metagenomic sources using micov

Hiutung Chu, Se Jin Song, Suzanne Devkota, Evguenia Kopylova, Rodolfo A. Salido, Caitlin Guccione, Daniel McDonald, Andrew P. Bartko, Rob Knight, Gregory D. Sepich‐Poore, Jeff Hasty, M. Omar Din, Kit Curtius, Renee Oles, Yuhan Weng
article en
5 citations

Abstract

Breadth of coverage, the proportion of a reference genome covered by at least one sequencing read, is critical for interpreting metagenomic data, informing analyses from genome assembly to taxonomic profiling. However, existing tools typically summarize coverage breadth at the whole-genome or aggregate-sample level, missing informative variation along genomes and between sample groups. Here we introduce MIcrobiome COVerage (micov), a tool that computes and compares per-sample breadth of coverage across many genomes and samples. micov offers two key advances: (1) rapid cumulative coverage breadth calculations specific to each sample type, and (2) detection of differential coverage breadth along genomes. Applying micov to three metagenomic datasets, we show that it identifies a genomic region in Prevotella copri that explains variation in community composition independent of host country of origin, uncovers dietary association with a partially annotated region in an uncharacterized Lachnospiraceae genome, enabling hypothesis generation for genes of unknown function, and improves sensitivity in low-biomass settings by detecting a single genomic copy of enteropathogenic Escherichia coli (EPEC) in wastewater and distinguishing Mediterraneibacter gnavus across specimen types.

Communications BiologyVol. 8(1)
Northwestern University (US), Cedars-Sinai Medical Center (US), University of California San Diego (US), Claritas Genomics (United States) (US), VA San Diego Healthcare System (US), La Jolla Bioengineering Institute (US)
U.S. Department of Veterans Affairs, AGA Research Foundation, Northwestern University, Danone, Cedars-Sinai Medical Center, Danone Nutricia Research, Yuhan, Chiba University, National Institutes of Health, Centers for Disease Control and Prevention, University of California, San Diego, Feinberg School of Medicine, Veterans Affairs San Diego Healthcare System, National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 6%
Genomics and Phylogenetic Studies
4.03
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