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Modeling Physiological Processes That Relate Toxicant Exposure and Bacterial Population Dynamics


Klanjšček, Tin; Nisbet, Roger M.; Priester, John H.; Holden, Patricia A.
Modeling Physiological Processes That Relate Toxicant Exposure and Bacterial Population Dynamics // PLoS One, 7 (2012), 2; e26955, 12 doi:10.1371/journal.pone.0026955 (međunarodna recenzija, članak, znanstveni)


Naslov
Modeling Physiological Processes That Relate Toxicant Exposure and Bacterial Population Dynamics

Autori
Klanjšček, Tin ; Nisbet, Roger M. ; Priester, John H. ; Holden, Patricia A.

Izvornik
PLoS One (1932-6203) 7 (2012), 2; E26955, 12

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Physiological model ; energetics ; ROS ; cadmium toxicity

Sažetak
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 towards connecting levels of biological organization in ecotoxicology. The presented model reveals possible connections between processes that are not obvious from purely empirical considerations, enables validation and hypothesis testing by creating testable predictions, and identifies research required to further develop the theory.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Biologija



POVEZANOST RADA


Projekt / tema
098-0982934-2719 - Ekološko modeliranje za održivo upravljanje resursima (Tarzan Legović, )

Ustanove
Institut "Ruđer Bošković", Zagreb

Autor s matičnim brojem:
Tin Klanjšček, (289255)

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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