Hi-C deconvolution of a human gut microbiome yields high-quality draft genomes and reveals plasmid-genome interactions.
Maximilian Oliver PressiD, Andrew H. Wiser, Zev N. KronenbergiD, Kyle W. LangfordiD, Migun ShakyaiD, Chien‐Chi LoiD, Kathryn A. Mueller, Shawn T SullivaniD, Patrick ChainiD, Ivan LiachkoiD
Abstract
The assembly of high-quality genomes from mixed microbial samples is a long-standing challenge in genomics and metagenomics. Here, we describe the application of ProxiMeta, a Hi-C-based metagenomic deconvolution method, to deconvolve a human fecal metagenome. This method uses the intra-cellular proximity signal captured by Hi-C as a direct indicator of which sequences originated in the same cell, enabling culture-free de novo deconvolution of mixed genomes without any reliance on a priori information. We show that ProxiMeta deconvolution provides results of markedly high accuracy and sensitivity, yielding 50 near-complete microbial genomes (many of which are novel) from a single fecal sample, out of 252 total genome clusters. ProxiMeta outperforms traditional contig binning at high-quality genome reconstruction. ProxiMeta shows particularly good performance in constructing high-quality genomes for diverse but poorly-characterized members of the human gut. We further use ProxiMeta to reconstruct genome plasmid content and sharing of plasmids among genomes--tasks that traditional binning methods usually fail to accomplish. Our findings suggest that Hi-C-based deconvolution can be useful to a variety of applications in genomics and metagenomics.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 103
- Organism
- Assay
- Research Focus
- Approach
Abstract summary
Claude Opus 5.5 · xhigh effort · 18 Oct 2026 · from the abstract · CC BY-NC-ND 4.0
Hi-C contacts assign assembled contigs to the cell they came from: 50 near-complete genomes among 252 clusters from one human fecal sample, plus plasmid-host links.
Pulling individual genomes out of a mixed microbial sample is a long-standing challenge. Because the Hi-C proximity signal shows which sequences came from the same cell, genomes and their plasmids can be separated without culture and without a priori information.
Key results
ShownDeconvolving one human fecal metagenome yielded 50 near-complete microbial genomes among 252 genome clusters, with many of them described as previously uncharacterized.
50 near-complete genomes out of 252 total clusters from a single fecal sample; the abstract gives no completeness or contamination thresholds and no count of the uncharacterized ones. · Abstract
ClaimedProxiMeta performed better than traditional contig binning at reconstructing high-quality genomes, and did particularly well on diverse, poorly characterized members of the gut.
Asserted in the abstract; no binning tool is named and no accuracy, sensitivity or genome-count figures for the comparison are reported. · Abstract
ClaimedPlasmid sequences were attached to host genomes and plasmids shared between genomes were identified, a task the authors say binning usually fails at.
Reported as a further application in the abstract, with no plasmid counts, host assignments or validation against known plasmid-host pairs. · Abstract
Methods, data and reproducibility
Hi-C captures proximity between sequences inside the same cell, and ProxiMeta clusters contigs from a human fecal metagenome on that signal alone, without culture and without a priori information; the clusters are then assessed as draft genomes and used to assign plasmids to hosts.
- Human fecal metagenome deconvolved with Hi-C into genome clusters · human gut microbial community · n = a single fecal sample; 252 genome clusters
- Methods & tools
- ProxiMeta, Hi-C
- Reproducibility gaps
- No software availability statement, sequence accession or genome deposit is named in the abstract.
Limitations (2)
- Everything rests on one fecal sample, and the abstract reports no external validation of the recovered genomes or of the plasmid-host assignments. · noted in this summary
- The advantage over conventional binning is asserted without naming the competing tools or giving the metric, so the margin cannot be judged. · noted in this summary
Who should read:Read this if you reconstruct genomes from metagenomes and want to weigh what Hi-C adds over traditional contig binning, including plasmid-host assignment.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Highly accurate metagenome-assembled genomes from human gut microbiota using long-read assembly, binning, and consolidation methods
Daniel M. Portik, Xiaowen Feng, … Jeremy E. Wilkinson·bioRxiv·May 10, 2024
- METAHICT enables comprehensive genome-resolved microbiome analysis with metagenomic Hi-C
Shiyuan Wang, Zhen Qin, … Yuxuan Du·bioRxiv·Oct 12, 2025
- HiFi Metagenomic Sequencing Enables Assembly of Accurate and Complete Genomes from Human Gut Microbiota
- Micro-Cm: restrictase-free microbiome-wide chromosome conformation profiling
Marcos Bermejo Ruiz, Carolin Wilhelm, … Alexander Tyakht·bioRxiv·Sep 12, 2026
- HiCBin: Binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps
Yuxuan Du, Fengzhu Sun·Genome biologyPeer-reviewed·Feb 28, 2022
- bin3C : Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs)
Matthew Z. DeMaere, Aaron E. Darling·Genome biologyPeer-reviewed·Feb 26, 2019