Estimating plasmid conjugation rates: A new computational tool and a critical comparison of methods


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Date

2022-05

Publication Type

Journal Article

ETH Bibliography

yes

Citations

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Data

Abstract

Plasmids are important vectors for the spread of genes among diverse populations of bacteria. However, there is no standard method to determine the rate at which they spread horizontally via conjugation. Here, we compare commonly used methods on simulated and experimental data, and show that the resulting conjugation rate estimates often depend strongly on the time of measurement, the initial population densities, or the initial ratio of donor to recipient populations. Differences in growth rate, e.g. induced by sub-lethal antibiotic concentrations or temperature, can also significantly bias conjugation rate estimates. We derive a new ‘end-point’ measure to estimate conjugation rates, which extends the well-known Simonsen method to include the effects of differences in population growth and conjugation rates from donors and transconjugants. We further derive analytical expressions for the parameter range in which these approximations remain valid. We present an easy to use R package and web interface which implement both new and previously existing methods to estimate conjugation rates. The result is a set of tools and guidelines for accurate and comparable measurement of plasmid conjugation rates.

Publication status

published

Editor

Book title

Journal / series

Volume

121

Pages / Article No.

102627

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Plasmid; Horizontal gene transfer; Conjugation rate; Simonsen method; Liquid mating culture

Organisational unit

09497 - Hall, Alex / Hall, Alex check_circle
03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian check_circle

Notes

Funding

167121 - Towards quantification of the contribution of plasmids to the spread of antibiotic resistance (SNF)

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