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Published on: January 18, 2020
Hi-C sequencing deciphers phage and plasmid host networks in wastewater biofilms
Dou Wang1, Xiaoqing Xu1, Lei Liu1
1Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong Special Administrative Region of China.
Abstract:
Mobile genetic elements (MGEs) such as bacteriophages and plasmids profoundly shape microbial community structure and drive horizontal gene transfer across ecosystems. Wastewater treatment systems, with their high cell densities, steep physicochemical gradients and close cell-to-cell contact, act as hotspots for MGE proliferation and exchange, yet the in situ assembly dynamics and host interaction networks of these elements have remained largely unresolved because conventional methods fail to establish direct MGE-host linkages in complex matrices. Here we show that an integrated framework combining metagenomics, metatranscriptomics, metaviromics, and Hi-C proximity ligation sequencing enables the efficient elucidation of DNA phage and plasmid assembly dynamics alongside their host interaction networks in biofilms. We reconstructed 17,672 viral operational taxonomic units and 11,454 high-confidence non-redundant plasmids, and established 529 phage-host and 5739 plasmid-host associations that link up to 52 % of phages to 56 % of prokaryotes and 70 % of plasmids to 91 % of prokaryotes, respectively. Hi-C substantially expanded and refined these networks, revealing taxon-specific and multi-host patterns. Host community composition and biofilm architecture emerge as primary drivers of MGE occurrence and abundance along the reactor flow path. Expression of auxiliary metabolic genes, antibiotic resistance genes and virulence factors carried by these MGEs demonstrates their active roles in modulating biogeochemical cycles and maintaining ecosystem stability. These findings establish a scalable, cultivation-independent framework for deciphering MGE-host networks in complex microbial ecosystems, and underscore the power of Hi-C sequencing to transform our mechanistic understanding of gene flow, resistome dissemination, and ecological resilience in engineered and natural microbiomes.
Insights
This study reveals mobile genetic elements (MGEs) like phages and plasmids in wastewater biofilms. Using advanced sequencing, it maps MGE-host interactions, showing their crucial role in microbial ecosystems and gene transfer.
Area of Science:
- Microbiology and Environmental Science
- Genomics and Bioinformatics
Background:
- Mobile genetic elements (MGEs), including bacteriophages and plasmids, significantly influence microbial communities and drive horizontal gene transfer.
- Wastewater treatment systems are hotspots for MGE activity, but their in situ assembly and host interactions are poorly understood due to limitations in conventional methods.
Purpose of the Study:
- To elucidate the assembly dynamics and host interaction networks of DNA phages and plasmids within complex microbial biofilms.
- To establish a scalable, cultivation-independent framework for studying MGE-host interactions in engineered and natural ecosystems.
Main Methods:
- Integrated framework combining metagenomics, metatranscriptomics, metaviromics, and Hi-C proximity ligation sequencing.
- Reconstruction of viral operational taxonomic units (OTUs) and non-redundant plasmids.
- Establishment of phage-host and plasmid-host associations using Hi-C data.
Main Results:
- Reconstructed 17,672 viral OTUs and 11,454 plasmids, establishing 529 phage-host and 5,739 plasmid-host associations.
- Linked a significant proportion of phages (52%) to prokaryotes (56%) and plasmids (70%) to prokaryotes (91%), with Hi-C refining these networks.
- Identified host community composition and biofilm architecture as key drivers of MGE dynamics; demonstrated MGEs' active roles via auxiliary metabolic, antibiotic resistance, and virulence genes.
Conclusions:
- The integrated framework, particularly Hi-C sequencing, enables efficient elucidation of MGE assembly and host networks in complex matrices.
- MGEs actively modulate biogeochemical cycles and ecosystem stability by expressing various functional genes.
- This approach transforms the understanding of gene flow, resistome dissemination, and ecological resilience in microbiomes.
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Biofilms
DNA Bacteriophages

