Persisters: a distinct physiological state of E. coli View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-12

AUTHORS

Devang Shah, Zhigang Zhang, Arkady B Khodursky, Niilo Kaldalu, Kristi Kurg, Kim Lewis

ABSTRACT

BACKGROUND: Bacterial populations contain persisters, phenotypic variants that constitute approximately 1% of cells in stationary phase and biofilm cultures. Multidrug tolerance of persisters is largely responsible for the inability of antibiotics to completely eradicate infections. Recent progress in understanding persisters is encouraging, but the main obstacle in understanding their nature was our inability to isolate these elusive cells from a wild-type population since their discovery in 1944. RESULTS: We hypothesized that persisters are dormant cells with a low level of translation, and used this to physically sort dim E. coli cells which do not contain sufficient amounts of unstable GFP expressed from a promoter whose activity depends on the growth rate. The dim cells were tolerant to antibiotics and exhibited a gene expression profile distinctly different from those observed for cells in exponential or stationary phases. Genes coding for toxin-antitoxin module proteins were expressed in persisters and are likely contributors to this condition. CONCLUSION: We report a method for persister isolation and conclude that these cells represent a distinct state of bacterial physiology. More... »

PAGES

53

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2180-6-53

DOI

http://dx.doi.org/10.1186/1471-2180-6-53

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017072024

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16768798


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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-6-53'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-6-53'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-6-53'


 

This table displays all metadata directly associated to this object as RDF triples.

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