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Cited by 339

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

Mechanisms of Acid Resistance in Escherichia coli

Kanjee, Usheer, Houry, Walid A.·2013·Annual Review of Microbiology

Abstract

Adaptation to acid stress is an important factor in the transmission of intestinal microbes. The enterobacterium Escherichia coli uses a range of physiological, metabolic, and proton-consuming acid resistance mechanisms in order to survive acid stresses as low as pH 2.0. The physiological adaptations include membrane modifications and outer membrane porins to reduce proton influx and periplasmic and cytoplasmic chaperones to manage the effects of acid damage. The metabolic acid resistance systems couple proton efflux to energy generation via select components of the electron transport chain, including cytochrome bo oxidase, NADH dehydrogenase I, NADH dehydrogenase II, and succinate dehydrogenase. Under anaerobic conditions the formate hydrogen lyase complex catalyzes conversion of cytoplasmic protons to hydrogen gas. Finally, each major proton-consuming acid resistance system has a pyridoxal-5′-phosphate-dependent amino acid decarboxylase that catalyzes proton-dependent decarboxylation of a substrate amino acid to product and CO 2, and an inner membrane antiporter that exchanges external substrate for internal product.

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Crossref · 10.1146/annurev-micro-092412-155708

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Metadata

Authors
Kanjee, U., & Houry, W. A.
Venue
Annual Review of Microbiology
Published
2013-09-08
Volume
67
Issue
1
Pages
65-81
ISSN
  • 0066-4227 (ISSN-L)
  • 1545-3251
OpenAlex
W2152434411
Cited by
339
References
81
FWCI
2.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mechanisms of Acid Resistance in Escherichia coli. https://app.cochat.ai/papers/10.1146/annurev-micro-092412-155708
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Kanjee, U., & Houry, W. A. (2013). Mechanisms of Acid Resistance in Escherichia coli. Annual Review of Microbiology. https://doi.org/10.1146/annurev-micro-092412-155708

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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