Nature Communications (Nov 2020)

High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli

  • Tomoya Maeda,
  • Junichiro Iwasawa,
  • Hazuki Kotani,
  • Natsue Sakata,
  • Masako Kawada,
  • Takaaki Horinouchi,
  • Aki Sakai,
  • Kumi Tanabe,
  • Chikara Furusawa

DOI
https://doi.org/10.1038/s41467-020-19713-w
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 13

Abstract

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Understanding evolutionary constraints in antibiotic resistance is crucial for prediction and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine learning to identify trade-off relationships associated with drug resistance.