The DOI matches its Crossref record.
The Rate of Killing of Escherichia coli by -Lactam Antibiotics Is Strictly Proportional to the Rate of Bacterial Growth
Abstract
Nongrowing bacteria evade the bactericidal activity of beta-lactam antibiotics. We sought to determine if slow growth rate also alters bactericidal activity. The bactericidal activity of two beta-lactams on Escherichia coli grown in glucose limited chemostats was compared for generation times ranging from 0.7 to 12 h. The degree of killing varied with drug structure and with E. coli strain. However, all killing rates were a constant function of the bacterial generation time: slowly growing bacteria became progressively more phenotypically tolerant to beta-lactam antibiotics as the generation time was extended.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Mechanisms of biofilm resistance to antimicrobial agents
Mah, T.-F. C., & O'Toole, G. A. (2001) · Trends in Microbiology · doi:10.1016/s0966-842x(00)01913-2 · Cited by 3,921
Distinguishing between resistance, tolerance and persistence to antibiotic treatment
Brauner, A., Fridman, O., Gefen, O., & Balaban, N. Q. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.34 · Cited by 1,612
Sharma, S., Mohler, J., Mahajan, S. D., Schwartz, S. A., Bruggemann, L., & Aalinkeel, R. (2023) · Microorganisms · doi:10.3390/microorganisms11061614 · Cited by 993
ATP-Dependent Persister Formation in Escherichia coli
Shan, Y., Brown Gandt, A., Rowe, S. E., Deisinger, J. P., Conlon, B. P., & Lewis, K. (2017) · mBio · doi:10.1128/mbio.02267-16 · Cited by 508
Biofilm, pathogenesis and prevention—a journey to break the wall: a review
Gupta, P., Sarkar, S., Das, B., Bhattacharjee, S., & Tribedi, P. (2016) · Archives of Microbiology · doi:10.1007/s00203-015-1148-6 · Cited by 493
Metadata
- Authors
- TUOMANEN, E., COZENS, R., TOSCH, W., ZAK, O., & TOMASZ, A.
- Venue
- Microbiology
- Publisher
- Microbiology Society
- Published
- 1986-05-01
- Volume
- 132
- Issue
- 5
- Pages
- 1297-1304
- ISSN
- 1350-0872 (ISSN-L)
- 1465-2080
- OpenAlex
- W2090280039
- Cited by
- 477
- References
- 0
- FWCI
- 6.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Rate of Killing of Escherichia coli by -Lactam Antibiotics Is Strictly Proportional to the Rate of Bacterial Growth. https://app.cochat.ai/papers/10.1099/00221287-132-5-1297
- The paper
- TUOMANEN, E., COZENS, R., TOSCH, W., ZAK, O., & TOMASZ, A. (1986). The Rate of Killing of Escherichia coli by -Lactam Antibiotics Is Strictly Proportional to the Rate of Bacterial Growth. Microbiology. https://doi.org/10.1099/00221287-132-5-1297
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
