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A new metabolic cell-wall labelling method reveals peptidoglycan in Chlamydia trachomatis

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Liechti, G. W., Kuru, E., Hall, E., Kalinda, A., Brun, Y. V., VanNieuwenhze, M., Maurelli, A. T.·2014·Nature

Abstract

Peptidoglycan (PG), an essential structure in the cell walls of the vast majority of bacteria, is critical for division and maintaining cell shape and hydrostatic pressure. Bacteria comprising the Chlamydiales were thought to be one of the few exceptions. Chlamydia harbour genes for PG biosynthesis and exhibit susceptibility to ‘anti-PG’ antibiotics, yet attempts to detect PG in any chlamydial species have proven unsuccessful (the ‘chlamydial anomaly’). We used a novel approach to metabolically label chlamydial PG using d-amino acid dipeptide probes and click chemistry. Replicating Chlamydia trachomatis were labelled with these probes throughout their biphasic developmental life cycle, and the results of differential probe incorporation experiments conducted in the presence of ampicillin are consistent with the presence of chlamydial PG-modifying enzymes. These findings culminate 50 years of speculation and debate concerning the chlamydial anomaly and are the strongest evidence so far that chlamydial species possess functional PG.

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Metadata

Authors
Liechti, G. W., Kuru, E., Hall, E., Kalinda, A., Brun, Y. V., VanNieuwenhze, M., & Maurelli, A. T.
Venue
Nature
Published
2013-12-11
Volume
506
Issue
7489
Pages
507-510
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2034954018
Cited by
354
References
0
FWCI
18.01
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A new metabolic cell-wall labelling method reveals peptidoglycan in Chlamydia trachomatis. https://app.cochat.ai/papers/10.1038/nature12892
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Liechti, G. W., Kuru, E., Hall, E., Kalinda, A., Brun, Y. V., VanNieuwenhze, M., & Maurelli, A. T. (2014). A new metabolic cell-wall labelling method reveals peptidoglycan in Chlamydia trachomatis. Nature. https://doi.org/10.1038/nature12892

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