Noise Driven Evolutionary Waves
2011

Noise Driven Evolutionary Waves

publication Evidence: moderate

Author Information

Author(s): Oskar Hallatschek

Primary Institution: Max–Planck Institute for Dynamics and Self–Organization

Hypothesis

Can random genetic drift drive the propagation of beneficial mutations in spatially extended populations?

Conclusion

The study shows that noise-driven waves can promote the economical use of limited resources in populations, even when mutations are slightly deleterious.

Supporting Evidence

  • Random genetic drift can favor mutations that increase population density.
  • The study extends the Fisher-Kolmogorov model to include effects of genetic drift.
  • Noise-driven waves can arise even from slightly deleterious mutations.

Takeaway

Sometimes, changes in a population happen because of random chance rather than just being the best at surviving. This study shows how that randomness can help new traits spread.

Methodology

The study uses computer simulations and analytical models to explore the dynamics of mutant invasions in spatially structured populations.

Limitations

The model simplifies complex interactions and may not capture all biological realities.

Digital Object Identifier (DOI)

10.1371/journal.pcbi.1002005

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