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Molecular Evolution of the Tre Recombinase
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Study of mutation from DNA to biological evolution.

Masako Bando1, Tetsuhiro Kinugawa2, Yuichiro Manabe2

  • 1Research Center for Nuclear Physics, Osaka University , Osaka , Japan.

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|April 24, 2019
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Understanding radiation effects requires interdisciplinary collaboration. A new mathematical model (WAM) quantifies mutation rates in animals and plants, highlighting spontaneous mutations

Keywords:
Low dose/dose-rateROSWAM modeleffective dose ratemetabolismmutation

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Area of Science:

  • Radiation biology
  • Evolutionary biology
  • Biophysics

Background:

  • Low dose/dose-rate radiation effects on biological systems are complex.
  • Spontaneous mutations at the DNA level are crucial for understanding biological evolution.
  • Interdisciplinary collaboration is vital for advancing research in this field.

Purpose of the Study:

  • To emphasize the importance of cross-disciplinary collaborations for understanding low dose/dose-rate radiation effects.
  • To quantitatively estimate radiation-induced mutations in various species using a mathematical model.
  • To explore the role of spontaneous mutation in the pathway from DNA damage to biological evolution.

Main Methods:

  • Development of the 'WAM' (Wildlife Animal Mutation) model, incorporating recovery effects and extending survival/hazard functions.
  • Application of the WAM model to reproduce accumulated mutation frequency data from animals and plants.
  • Analysis of dose-rate dependence to understand various mutation datasets.

Main Results:

  • The WAM model successfully reproduces diverse mutation data across species.
  • Dose-rate dependence is a critical factor for understanding mutation data.
  • A 'scaling law' was developed for cross-species comparison of mutation frequencies.
  • The dominant contribution of spontaneous mutation was quantified, allowing for the calculation of artificial radiation frequency.

Conclusions:

  • The WAM model provides a robust framework for analyzing radiation-induced mutations.
  • Spontaneous mutations are a key factor in radiation biology and evolution.
  • Reactive oxygen species (ROS) are estimated as a likely origin of spontaneous mutations.