Genome-wide analysis captures the determinants of the antibiotic cross-resistance interaction network

Viktória Lázár, István Nagy, Réka Spohn, Bálint Csörgo ', Ádám Györkei, Ákos Nyerges, Balázs Horváth, Andrea Vörös, Róbert Busa-Fekete, Mónika Hrtyan, Balázs Bogos, Orsolya Méhi, Gergely Fekete, Balázs Szappanos, Balázs Kégl, Balázs Papp, Csaba Pál

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Understanding how evolution of antimicrobial resistance increases resistance to other drugs is a challenge of profound importance. By combining experimental evolution and genome sequencing of 63 laboratory-evolved lines, we charted a map of cross-resistance interactions between antibiotics in Escherichia coli, and explored the driving evolutionary principles. Here, we show that (1) convergent molecular evolution is prevalent across antibiotic treatments, (2) resistance conferring mutations simultaneously enhance sensitivity to many other drugs and (3) 27% of the accumulated mutations generate proteins with compromised activities, suggesting that antibiotic adaptation can partly be achieved without gain of novel function. By using knowledge on antibiotic properties, we examined the determinants of cross-resistance and identified chemogenomic profile similarity between antibiotics as the strongest predictor. In contrast, cross-resistance between two antibiotics is independent of whether they show synergistic effects in combination. These results have important implications on the development of novel antimicrobial strategies.

Original languageEnglish
Article number4352
JournalNature communications
Publication statusPublished - Jul 8 2014


ASJC Scopus subject areas

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Physics and Astronomy(all)

Cite this

Lázár, V., Nagy, I., Spohn, R., Csörgo ', B., Györkei, Á., Nyerges, Á., Horváth, B., Vörös, A., Busa-Fekete, R., Hrtyan, M., Bogos, B., Méhi, O., Fekete, G., Szappanos, B., Kégl, B., Papp, B., & Pál, C. (2014). Genome-wide analysis captures the determinants of the antibiotic cross-resistance interaction network. Nature communications, 5, [4352].