Simulating the Impact of the Natural Radiation Background on Bacterial Systems: Implications for Very Low Radiation Biological Experiments

PLoS One. 2016 Nov 16;11(11):e0166364. doi: 10.1371/journal.pone.0166364. eCollection 2016.

Abstract

At very low radiation dose rates, the effects of energy depositions in cells by ionizing radiation is best understood stochastically, as ionizing particles deposit energy along tracks separated by distances often much larger than the size of cells. We present a thorough analysis of the stochastic impact of the natural radiative background on cells, focusing our attention on E. coli grown as part of a long term evolution experiment in both underground and surface laboratories. The chance per day that a particle track interacts with a cell in the surface laboratory was found to be 6 × 10-5 day-1, 100 times less than the expected daily mutation rate for E. coli under our experimental conditions. In order for the chance cells are hit to approach the mutation rate, a gamma background dose rate of 20 μGy hr-1 is predicted to be required.

MeSH terms

  • Background Radiation*
  • Computer Simulation*
  • Dose-Response Relationship, Radiation
  • Electrons
  • Escherichia coli / radiation effects*
  • Likelihood Functions
  • Radiation, Ionizing*

Grants and funding

The Conseil General de l’Allier funds the PhD scholarship of NL. Funding has been received from the Long Term Ecological Research program "Zone Atelier Territoires Uranifères dans l’Arc Hercynien" and Electricité de France in support of this project.