Literature DB >> 29842925

Adaptation to the coupling of glycolysis to toxic methylglyoxal production in tpiA deletion strains of Escherichia coli requires synchronized and counterintuitive genetic changes.

Douglas McCloskey1, Sibei Xu2, Troy E Sandberg2, Elizabeth Brunk2, Ying Hefner2, Richard Szubin2, Adam M Feist1, Bernhard O Palsson3.   

Abstract

Methylglyoxal is a highly toxic metabolite that can be produced in all living organisms. Methylglyoxal was artificially elevated by removal of the tpiA gene from a growth optimized Escherichia coli strain. The initial response to elevated methylglyoxal and its toxicity was characterized, and detoxification mechanisms were studied using adaptive laboratory evolution. We found that: 1) Multi-omics analysis revealed biological consequences of methylglyoxal toxicity, which included attack on macromolecules including DNA and RNA and perturbation of nucleotide levels; 2) Counter-intuitive cross-talk between carbon starvation and inorganic phosphate signalling was revealed in the tpiA deletion strain that required mutations in inorganic phosphate signalling mechanisms to alleviate; and 3) The split flux through lower glycolysis depleted glycolytic intermediates requiring a host of synchronized and coordinated mutations in non-intuitive network locations in order to re-adjust the metabolic flux map to achieve optimal growth. Such mutations included a systematic inactivation of the Phosphotransferase System (PTS) and alterations in cell wall biosynthesis enzyme activity. This study demonstrated that deletion of major metabolic genes followed by ALE was a productive approach to gain novel insight into the systems biology underlying optimal phenotypic states.
Copyright © 2018 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive laboratory evolution; E. coli; Multi-omics data integration; Mutation analysis; Systems biology; tpiA gene knockout

Mesh:

Substances:

Year:  2018        PMID: 29842925     DOI: 10.1016/j.ymben.2018.05.012

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  14 in total

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