Nature Communications (Jul 2022)

Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes

  • Lucile Vigué,
  • Giancarlo Croce,
  • Marie Petitjean,
  • Etienne Ruppé,
  • Olivier Tenaillon,
  • Martin Weigt

DOI
https://doi.org/10.1038/s41467-022-31643-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Predicting the effects of mutations in a species is a major challenge in genetics. Here, the authors investigate protein sequence landscapes using diverged E. coli sequences, to predict tolerated mutations and capture interactions between mutations.