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Cited by 470

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

How Bacteria Consume Their Own Exoskeletons (Turnover and Recycling of Cell Wall Peptidoglycan)

Open access
Park, James T., Uehara, Tsuyoshi·2008·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: The phenomenon of peptidoglycan recycling is reviewed. Gram-negative bacteria such as Escherichia coli break down and reuse over 60% of the peptidoglycan of their side wall each generation. Recycling of newly made peptidoglycan during septum synthesis occurs at an even faster rate. Nine enzymes, one permease, and one periplasmic binding protein in E. coli that appear to have as their sole function the recovery of degradation products from peptidoglycan, thereby making them available for the cell to resynthesize more peptidoglycan or to use as an energy source, have been identified. It is shown that all of the amino acids and amino sugars of peptidoglycan are recycled. The discovery and properties of the individual proteins and the pathways involved are presented. In addition, the possible role of various peptidoglycan degradation products in the induction of β-lactamase is discussed.

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Metadata

Authors
Park, J. T., & Uehara, T.
Venue
Microbiology and Molecular Biology Reviews
Published
2008-06
Volume
72
Issue
2
Pages
211-227
ISSN
  • 1092-2172 (ISSN-L)
  • 1098-5557
OpenAlex
W2106884274
Cited by
470
References
90
FWCI
1.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: How Bacteria Consume Their Own Exoskeletons (Turnover and Recycling of Cell Wall Peptidoglycan). https://app.cochat.ai/papers/10.1128/mmbr.00027-07
The paper
Park, J. T., & Uehara, T. (2008). How Bacteria Consume Their Own Exoskeletons (Turnover and Recycling of Cell Wall Peptidoglycan). Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.00027-07

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.