2003
DOI: 10.1046/j.1365-2672.2003.02079.x
|View full text |Cite
|
Sign up to set email alerts
|

Clonal variation in maximum specific growth rate and susceptibility towards antimicrobials

Abstract: Aims: To examine associations between growth rate within bacterial populations and survival patterns following treatment with antimicrobial agents. Methods and Results: Time survival data were generated for the inactivation of Escherichia coli populations, grown as batch and continuous cultures, exposed to ciprofloxacin, benzalkonium chloride and tetracycline. Timesurvivor plots were biphasic. Surviving cells were collected and immediately re-exposed to agent or were regrown and then re-exposed. Survivors were… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

3
54
0
1

Year Published

2007
2007
2014
2014

Publication Types

Select...
3
3

Relationship

1
5

Authors

Journals

citations
Cited by 65 publications
(58 citation statements)
references
References 39 publications
3
54
0
1
Order By: Relevance
“…5 (though at sufficiently high dilution rate, washout of cells exceeds the maximum specific growth rate and thus the biomass concentration, including persisters, becomes zero in steady-state). We again note the qualitative match to the experimentally reported results in Sufya et al (2003). In particular, note the rapid transition from high to low persister fraction separating the two regimes when D 21 is smaller than and larger than the persister age dd.…”
Section: Resultssupporting
confidence: 87%
See 4 more Smart Citations
“…5 (though at sufficiently high dilution rate, washout of cells exceeds the maximum specific growth rate and thus the biomass concentration, including persisters, becomes zero in steady-state). We again note the qualitative match to the experimentally reported results in Sufya et al (2003). In particular, note the rapid transition from high to low persister fraction separating the two regimes when D 21 is smaller than and larger than the persister age dd.…”
Section: Resultssupporting
confidence: 87%
“…We remark that the model predicts that most cells become persistent in late stationary phase. Late-stationary-phase data are scarce since all cells approach quiescence; however, data from continuous flow systems at low dilution rate (Sufya et al, 2003), which may be somewhat analogous to late-stationary-phase batch cultures, suggest that the persister percentage does indeed approach 100. Fig.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations