Published September 19, 2022 | Version v1
Dataset Open

The effect of a temperature‐sensitive prophage on the evolution of virulence in an opportunistic bacterial pathogen

  • 1. University of Jyväskylä
  • 2. Karolinska Institute
  • 3. University of Jyväskylä (present address: Shenzhen Research Institute, The Chinese University of Hong Kong)*
  • 4. University of Jyväskylä (present address: University of Arizona)*

Description

Viruses are key actors of ecosystems and have major impacts on global biogeochemical cycles. Prophages deserve particular attention as they are ubiquitous in bacterial genomes and can enter a lytic cycle when triggered by environmental conditions. We explored how temperature affects the interactions between prophages and other biological levels by using an opportunistic pathogen, the bacterium Serratia marcescens, that harbours several prophages and that had undergone an evolution experiment under several temperature regimes. We found that the release of one of the prophages was temperature-sensitive and malleable to evolutionary changes. We further discovered that the virulence of the bacterium in an insect model also evolved and was positively correlated with phage release rates. We determined through analysis of genetic and epigenetic data that changes in the bacterial outer cell wall structure possibly explain this phenomenon. We hypothezise that the temperature-dependent phage release rate acted as a selection pressure on S. marcescens and that it resulted in modified bacterial virulence in the insect host. Our study system illustrates how viruses can mediate the influence of abiotic environmental changes to other biological levels and thus be involved in ecosystem feedback loops.

Notes

All dataset files are plain text, tab-separated tabular files.

R scripts are also provided to reproduce the analyses and the figures reported in the article. Those scripts can be executed using the R program (https://www.r-project.org/).

A pdf file ("pipeline.pdf") is provided to give an overview of the dependencies between dataset files, R scripts, and output files.

Funding provided by: Academy of Finland
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100002341
Award Number: Project 278751

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Additional details

Related works

Is cited by
10.1111/mec.16638 (DOI)
Is derived from
10.5281/zenodo.7090884 (DOI)