High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli

Autor: Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, Natsue Sakata, Masako Kawada, Takaaki Horinouchi, Aki Sakai, Kumi Tanabe, Chikara Furusawa
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Druh dokumentu: article
ISSN: 2041-1723
32844840
DOI: 10.1038/s41467-020-19713-w
Popis: 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.
Databáze: Directory of Open Access Journals