Carvalho Gabriel

Irstea − Lisc
9 avenue Blaise Pascal − CS 20085
63178 Aubière − France
+33 4 73 44 06 21
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PhD student

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Journal Articles (1)

G. Carvalho, C. Guilhen, D. Balestrino, C. Forestier, J.D. Mathias
Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments
Microbial Biotechnology 10 (6), 2017
abs doi web bib

We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as biofilms. Our models are extensions of a previous model of the dynamics of normal and persistent cell populations developed by Balaban et al. (2004, Science 305: 1622). We calibrated the models’ parameters with experimental killing curves obtained after ciprofloxacin treatment of samples regularly harvested from planktonic batch cultures of Klebsiella pneumoniae. Our switching models accurately reproduced the dynamics of normal and persistent populations in planktonic batch cultures and under antibiotic treatment. Results showed that the models are valid for a large range of substrate concentrations and for zero or high doses of antibiotics.
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@article{PUB00056700, author = {Carvalho, G. and Guilhen, C. and Balestrino, D. and Forestier, C. and Mathias, J.D.}, title = {Relating switching rates between normal and persister cells to substrate and antibiotic concentrations: a mathematical modelling approach supported by experiments}, journal = {Microbial Biotechnology}, volume = {10}, number = {6}, pages = {1616-1627}, url = {http://irsteadoc.irstea.fr/cemoa/PUB00056700 / https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032338497&doi=10.1111%2f1751-7915.12739&partnerID=40&md5=6ffe0f94cf3d7707b368afb922eabf6d}, doi = {http://dx.doi.org/10.1111/1751-7915.12739}, year = {2017}, affiliation = {IRSTEA CLERMONT FERRAND UR LISC FRA ; LMGE UMR 6023 CNRS UNIVERSITE CLERMONT AUVERGNE CLERMONT FERRAND FRA ; LMGE UMR 6023 CNRS UNIVERSITE CLERMONT AUVERGNE CLERMONT FERRAND FRA ; LMGE UMR 6023 CNRS UNIVERSITE CLERMONT AUVERGNE CLERMONT FERRAND FRA ; IRSTEA CLERMONT FERRAND UR LISC FRA}, abstract = {We developed and compared two mathematical models of variable phenotypic switching rates between normal and persister cells that depend on substrate concentration and antibiotic presence. They could be used to simulate the formation of persisters in environments with concentration gradients such as biofilms. Our models are extensions of a previous model of the dynamics of normal and persistent cell populations developed by Balaban et al. (2004, Science 305: 1622). We calibrated the models’ parameters with experimental killing curves obtained after ciprofloxacin treatment of samples regularly harvested from planktonic batch cultures of Klebsiella pneumoniae. Our switching models accurately reproduced the dynamics of normal and persistent populations in planktonic batch cultures and under antibiotic treatment. Results showed that the models are valid for a large range of substrate concentrations and for zero or high doses of antibiotics.}, }
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LISC

Carvalho Gabriel

Publications

Journal Articles (1)