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ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data

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  • Yuxuan Du

    (University of Southern California)

  • Jed A. Fuhrman

    (University of Southern California)

  • Fengzhu Sun

    (University of Southern California)

Abstract

The introduction of high-throughput chromosome conformation capture (Hi-C) into metagenomics enables reconstructing high-quality metagenome-assembled genomes (MAGs) from microbial communities. Despite recent advances in recovering eukaryotic, bacterial, and archaeal genomes using Hi-C contact maps, few of Hi-C-based methods are designed to retrieve viral genomes. Here we introduce ViralCC, a publicly available tool to recover complete viral genomes and detect virus-host pairs using Hi-C data. Compared to other Hi-C-based methods, ViralCC leverages the virus-host proximity structure as a complementary information source for the Hi-C interactions. Using mock and real metagenomic Hi-C datasets from several different microbial ecosystems, including the human gut, cow fecal, and wastewater, we demonstrate that ViralCC outperforms existing Hi-C-based binning methods as well as state-of-the-art tools specifically dedicated to metagenomic viral binning. ViralCC can also reveal the taxonomic structure of viruses and virus-host pairs in microbial communities. When applied to a real wastewater metagenomic Hi-C dataset, ViralCC constructs a phage-host network, which is further validated using CRISPR spacer analyses. ViralCC is an open-source pipeline available at https://github.com/dyxstat/ViralCC .

Suggested Citation

  • Yuxuan Du & Jed A. Fuhrman & Fengzhu Sun, 2023. "ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-35945-y
    DOI: 10.1038/s41467-023-35945-y
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    References listed on IDEAS

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    1. Yuxuan Du & Fengzhu Sun, 2023. "MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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