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:10.1038/s41467-020-19713-w

High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli

Tomoya Maeda (RIKEN Center for Biosystems Dynamics Research) Junichiro Iwasawa (Department of Physics, The University of Tokyo) Hazuki Kotani (RIKEN Center for Biosystems Dynamics Research) Natsue Sakata (RIKEN Center for Biosystems Dynamics Research) Masako Kawada (RIKEN Center for Biosystems Dynamics Research) Takaaki Horinouchi (RIKEN Center for Biosystems Dynamics Research) Aki Sakai (RIKEN Center for Biosystems Dynamics Research) Kumi Tanabe (RIKEN Center for Biosystems Dynamics Research) Chikara Furusawa (RIKEN Center for Biosystems Dynamics Research)

Journal: Nature Communications • 2020-11-01 • Nature Portfolio • ISSN: 2041-1723

Abstract

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.

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# Science

How to Cite this Article

                    Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, et al. (2020). "High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli". Nature Communications. https://doi.org/10.1038/s41467-020-19713-w                

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DOI: 10.1038/s41467-020-19713-w ↗
Primary Index: DOAJ