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.

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.