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Related Experiment Video

Updated: Jun 19, 2026

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae
05:39

Determination of the Mating Efficiency of Haploids in Saccharomyces cerevisiae

Published on: December 2, 2022

Accounting for mating pair formation in plasmid population dynamics.

Xue Zhong1, Jarosław E Krol, Eva M Top

  • 1Department of Mathematics, P.O. Box 441103, University of Idaho, Moscow, ID 83844-1103, USA.

Journal of Theoretical Biology
|October 20, 2009
PubMed
Summary

This study models bacterial plasmid transfer, revealing that optimal gene transfer occurs at moderate mixing speeds. Vigorous shaking hinders plasmid transfer, a finding supported by mathematical predictions and experiments.

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High-Resolution Comparison of Bacterial Conjugation Frequencies
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High-Resolution Comparison of Bacterial Conjugation Frequencies

Published on: January 10, 2019

Area of Science:

  • Microbiology
  • Molecular Biology
  • Biophysics

Background:

  • Plasmids facilitate bacterial adaptation and spread of antibiotic resistance via horizontal gene transfer.
  • Conjugative plasmid transfer involves cell attachment, DNA transfer, and detachment.
  • Classical models often use a simplified bulk conjugation rate, overlooking distinct transfer dynamics.

Purpose of the Study:

  • To develop a more detailed mathematical model for plasmid transfer dynamics.
  • To investigate the impact of mixing intensity on bacterial conjugation.
  • To compare model predictions with experimental results in various environments.

Main Methods:

  • Developed a system of differential equations modeling attachment, DNA transfer, and detachment.
  • Performed batch culture experiments with three plasmids under varying mixing intensities.
  • Analyzed the influence of shaking speeds on plasmid transfer efficiency.

Main Results:

  • Plasmid transfer rates are optimized at low to moderate shaking speeds.
  • Vigorous shaking significantly reduces plasmid transfer efficiency.
  • The mathematical model accurately predicted the observed effects of mixing intensity.

Conclusions:

  • The new model provides a more nuanced understanding of plasmid transfer compared to mass-action models.
  • Mixing intensity is a critical factor influencing the rate and efficiency of bacterial conjugation.
  • The findings have implications for controlling the spread of antibiotic resistance genes.