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Antibiotic susceptibility signatures identify potential antimicrobial targets in the Acinetobacter baumannii cell envelope

Edward Geisinger (), Nadav J. Mortman, Yunfei Dai, Murat Cokol, Sapna Syal, Andrew Farinha, Delaney G. Fisher, Amy Y. Tang, David W. Lazinski, Stephen Wood, Jon Anthony, Tim Opijnen and Ralph R. Isberg ()
Additional contact information
Edward Geisinger: Northeastern University
Nadav J. Mortman: Tufts University School of Medicine
Yunfei Dai: Northeastern University
Murat Cokol: Tufts University School of Medicine
Sapna Syal: Tufts University School of Medicine
Andrew Farinha: Northeastern University
Delaney G. Fisher: Tufts University School of Medicine
Amy Y. Tang: Northeastern University
David W. Lazinski: Tufts University School of Medicine
Stephen Wood: Boston College
Jon Anthony: Boston College
Tim Opijnen: Boston College
Ralph R. Isberg: Tufts University School of Medicine

Nature Communications, 2020, vol. 11, issue 1, 1-16

Abstract: Abstract A unique, protective cell envelope contributes to the broad drug resistance of the nosocomial pathogen Acinetobacter baumannii. Here we use transposon insertion sequencing to identify A. baumannii mutants displaying altered susceptibility to a panel of diverse antibiotics. By examining mutants with antibiotic susceptibility profiles that parallel mutations in characterized genes, we infer the function of multiple uncharacterized envelope proteins, some of which have roles in cell division or cell elongation. Remarkably, mutations affecting a predicted cell wall hydrolase lead to alterations in lipooligosaccharide synthesis. In addition, the analysis of altered susceptibility signatures and antibiotic-induced morphology patterns allows us to predict drug synergies; for example, certain beta-lactams appear to work cooperatively due to their preferential targeting of specific cell wall assembly machineries. Our results indicate that the pathogen may be effectively inhibited by the combined targeting of multiple pathways critical for envelope growth.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18301-2

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DOI: 10.1038/s41467-020-18301-2

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