Probing Evolutionary Repeatability: Neutral and Double Changes and the Predictability of Evolutionary Adaptation
2009

Understanding How Bacteria Evolve Resistance to Antibiotics

publication Evidence: moderate

Author Information

Author(s): Roy Scott William

Primary Institution: National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health

Hypothesis

How predictable is the evolution of antibiotic resistance in bacteria?

Conclusion

The study found that even with relaxed assumptions, the evolution of antibiotic resistance in bacteria is still highly repeatable.

Supporting Evidence

  • Only 27 out of 18 billion possible pathways led to increased resistance through positive selection.
  • Allowing neutral mutations increased the number of accessible pathways from 27 to 629.
  • Allowing double mutations increased the number of pathways to 4800.

Takeaway

This study looks at how bacteria can become resistant to antibiotics and finds that there are only a few ways this can happen, even when we allow for different types of mutations.

Methodology

The study analyzed the pathways of mutations in the E. coli β-lactamase gene that confer resistance to cefotaxime, using various models of selection.

Limitations

The study primarily focuses on specific mutations and may not account for all possible evolutionary pathways.

Digital Object Identifier (DOI)

10.1371/journal.pone.0004500

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication