Literature DB >> 17514573

Scaling relationships based on partition coefficients and body sizes have similarities and interactions.

S A L M Kooijman1, J Baas, D Bontje, M Broerse, T Jager, C A M Van Gestel, B Van Hattum.   

Abstract

The LC(50) of compounds with a similar biological effect, at a given exposure period, is frequently plotted log-log against the octanol-water partition coefficient and a straight line is fitted for interpolation purposes. This is also frequently done for physiological properties, such as the weight-specific respiration rate, as function of the body weight of individuals. This paper focuses on the remarkable observation that theoretical explanations for these relationships also have strong similarities. Both can be understood as result of the covariation of the values of parameters of models of a particular type for the underlying processes, while this covariation follows logically from the model structure. The one-compartment model for the uptake and elimination of compounds by organisms is basic to the BioConcentration Factor (BCF), or the partition coefficient; the standard Dynamic Energy Budget model is basic to the (ultimate) body size. The BCF is the ratio of the uptake and the elimination rates; the maximum body length is the ratio of the assimilation (i.e. uptake of resources) and the maintenance (i.e. use of resources) rates. This paper discusses some shortcomings of descriptive approaches and conceptual aspects of theoretical explanations. The strength of the theory is in the combination of why metabolic transformation depends both on the BCF and the body size. We illustrate the application of the theory with several data sets from the literature.

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Year:  2007        PMID: 17514573     DOI: 10.1080/10629360701304196

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  7 in total

1.  What the egg can tell about its hen: embryonic development on the basis of dynamic energy budgets.

Authors:  S A L M Kooijman
Journal:  J Math Biol       Date:  2008-06-07       Impact factor: 2.259

2.  Sensitivity of animals to chemical compounds links to metabolic rate.

Authors:  Jan Baas; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2015-01-07       Impact factor: 2.823

Review 3.  Determinants of inter-specific variation in basal metabolic rate.

Authors:  Craig R White; Michael R Kearney
Journal:  J Comp Physiol B       Date:  2012-09-23       Impact factor: 2.200

4.  Sublethal toxicant effects with dynamic energy budget theory: application to mussel outplants.

Authors:  Erik B Muller; Craig W Osenberg; Russell J Schmitt; Sally J Holbrook; Roger M Nisbet
Journal:  Ecotoxicology       Date:  2009-07-24       Impact factor: 2.823

5.  Sublethal toxicant effects with dynamic energy budget theory: model formulation.

Authors:  Erik B Muller; Roger M Nisbet; Heather A Berkley
Journal:  Ecotoxicology       Date:  2009-07-25       Impact factor: 2.823

6.  A biology-based approach for quantitative structure-activity relationships (QSARs) in ecotoxicity.

Authors:  Tjalling Jager; Sebastiaan A L M Kooijman
Journal:  Ecotoxicology       Date:  2008-10-19       Impact factor: 2.823

7.  The AmP project: Comparing species on the basis of dynamic energy budget parameters.

Authors:  Gonçalo M Marques; Starrlight Augustine; Konstadia Lika; Laure Pecquerie; Tiago Domingos; Sebastiaan A L M Kooijman
Journal:  PLoS Comput Biol       Date:  2018-05-09       Impact factor: 4.475

  7 in total

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