Journal article

Genome-Scale Metabolic Modeling Reveals Metabolic Alterations of Multidrug-Resistant Acinetobacter baumannii in a Murine Bloodstream Infection Model

Jinxin Zhao, Yan Zhu, Jiru Han, Yu-Wei Lin, Michael Aichem, Jiping Wang, Ke Chen, Tony Velkov, Falk Schreiber, Jian Li

Microorganisms | MDPI | Published : 2020

Abstract

Multidrug-resistant (MDR) Acinetobacter baumannii is a critical threat to human health globally. We constructed a genome-scale metabolic model iAB5075 for the hypervirulent, MDR A. baumannii strain AB5075. Predictions of nutrient utilization and gene essentiality were validated using Biolog assay and a transposon mutant library. In vivo transcriptomics data were integrated with iAB5075 to elucidate bacterial metabolic responses to the host environment. iAB5075 contains 1530 metabolites, 2229 reactions, and 1015 genes, and demonstrated high accuracies in predicting nutrient utilization and gene essentiality. At 4 h post-infection, a total of 146 metabolic fluxes were increased and 52 were dec..

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University of Melbourne Researchers

Grants

Awarded by National Institute of Allergy and Infectious Diseases of the National Institutes of Health


Funding Acknowledgements

This study was supported by a research grant from the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI132681). J.L. is an Australian National Health and Medical Research Council (NHMRC) Principal Research Fellow and T.V. is an Australian NHMRC Industry Career Development Level 2 Research Fellow. The content is solely the responsibility of the authors and does not necessarily represent the o fficial views of the National Institute of Allergy and Infectious Diseases or the National Institutes of Health.