Modeling physiological processes that relate toxicant exposure and bacterial population dynamics.

PloS One
Tin KlanjscekPatricia A Holden

Abstract

Quantifying effects of toxicant exposure on metabolic processes is crucial to predicting microbial growth patterns in different environments. Mechanistic models, such as those based on Dynamic Energy Budget (DEB) theory, can link physiological processes to microbial growth.Here we expand the DEB framework to include explicit consideration of the role of reactive oxygen species (ROS). Extensions considered are: (i) additional terms in the equation for the "hazard rate" that quantifies mortality risk; (ii) a variable representing environmental degradation; (iii) a mechanistic description of toxic effects linked to increase in ROS production and aging acceleration, and to non-competitive inhibition of transport channels; (iv) a new representation of the "lag time" based on energy required for acclimation. We estimate model parameters using calibrated Pseudomonas aeruginosa optical density growth data for seven levels of cadmium exposure. The model reproduces growth patterns for all treatments with a single common parameter set, and bacterial growth for treatments of up to 150 mg(Cd)/L can be predicted reasonably well using parameters estimated from cadmium treatments of 20 mg(Cd)/L and lower. Our approach is an important step towa...Continue Reading

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Citations

Jan 8, 2013·Ecotoxicology·Tin KlanjscekPatricia A Holden
Aug 29, 2012·The New Phytologist·Stefano ManzoniGöran I Ågren
Oct 11, 2016·Physics of Life Reviews·Marko JusupTin Klanjšček
Jun 6, 2018·Integrated Environmental Assessment and Management·Cheryl A MurphyKaren H Watanabe
Jan 13, 2021·PloS One·Venkata Rao KrishnamurthiYong Wang
Jun 2, 2016·Journal of Theoretical Biology·Tin KlanjscekRoger M Nisbet

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