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Methodology for the Study of Horizontal Gene Transfer in Staphylococcus aureus
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Toxin-Antitoxin Systems Reflect Community Interactions Through Horizontal Gene Transfer.

Jonathan H Bethke1, Jeffrey Kimbrel1, Yongqin Jiao1

  • 1Biosciences and Biotechnology Division, Physical and Life Science Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

Molecular Biology and Evolution
|October 15, 2024
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Horizontal gene transfer (HGT) shapes bacterial evolution. Toxin-antitoxin (TA) system distribution reveals unique HGT community signatures, offering a new framework for controlling bacterial interactions.

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Area of Science:

  • Microbiology and Microbial Ecology
  • Genetics and Evolutionary Biology
  • Synthetic Biology

Background:

  • Bacterial evolution is significantly influenced by horizontal gene transfer (HGT), which reflects complex community interactions.
  • Toxin-antitoxin (TA) systems are key agents of selection but their uneven distribution hinders control over bacterial communities.
  • Understanding TA system mobility is crucial for translating synthetic biology designs into natural environments.

Purpose of the Study:

  • To investigate the heterogeneous distribution of TA systems as a result of their mobility within bacterial communities.
  • To determine if TA system distribution creates predictable signatures within HGT networks.
  • To explore the potential of TA signatures to signal interactions between plasmids, hosts, and phages.

Main Methods:

  • Systematic mapping of TA systems across a large network comprising 10,000 plasmids.
  • Construction of a novel HGT network based exclusively on TA similarity.
  • Analysis of TA signatures to infer plasmid competition and interaction dynamics.

Main Results:

  • Unique and predictable TA signatures were identified within HGT communities.
  • These TA signatures are proposed to originate from plasmid competition dynamics.
  • TA signatures correlate with the extent of interactions among plasmids, hosts, and phages.

Conclusions:

  • The study clarifies the evolutionary pathways of TA systems.
  • A new framework is established for manipulating bacterial community interactions using TA compatibility.
  • TA signatures offer a valuable tool for understanding and controlling bacterial consortia.