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Updated: Mar 31, 2026

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High-Resolution Comparison of Bacterial Conjugation Frequencies
Published on: January 10, 2019
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Horizontal and vertical gene transfer shape the plasmid host range in surface-associated microbial systems.
Kohei Takahashi1, Kiko Ohara1, Kosuke Higuchi1
1Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, Sapporo, Hokkaido 060-8628, Japan.
Iscience
|March 30, 2026
Summary
Broad-host-range plasmids spread antibiotic resistance. Their host range depends on both horizontal gene transfer (HGT) and vertical gene transfer (VGT), with growth conditions impacting diversity and abundance.
Area of Science:
- Microbiology
- Genetics
- Evolutionary Biology
Background:
- Broad-host-range plasmids are key drivers of antibiotic resistance dissemination.
- Predicting plasmid host range is complex due to contributions from horizontal gene transfer (HGT) and vertical gene transfer (VGT).
- Surface-associated microbial systems are critical environments for plasmid-mediated gene spread.
Purpose of the Study:
- To investigate the interplay between HGT and VGT in determining the realized host range of broad-host-range plasmids.
- To understand how bacterial growth conditions influence transconjugant diversity and abundance.
Main Methods:
- Experimental analysis of transconjugant diversity under varying bacterial growth rates.
- Individual-based simulations incorporating both HGT and VGT dynamics.
- Assessment of plasmid spread in surface-associated microbial systems.
Main Results:
- Fast-growth conditions led to higher transconjugant abundance but lower diversity.
- Slow-growth conditions resulted in fewer transconjugants but increased diversity.
- The realized host range is a product of initial HGT events and subsequent VGT-driven expansion.
Conclusions:
- The realized host range of plasmids is jointly determined by conjugation (HGT) and proliferation (VGT).
- Bacterial growth conditions significantly modulate the balance between HGT and VGT, affecting plasmid spread dynamics.
- Accurate prediction of plasmid-mediated antibiotic resistance spread requires integrating both gene transfer and post-transfer population dynamics.
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