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DEBtox modelling of pathogen-mortality data over time; a novel toxicokinetic-toxicodynamic approach to derive dose effects

Hesketh, Helen; Baas, Jan. 2016 DEBtox modelling of pathogen-mortality data over time; a novel toxicokinetic-toxicodynamic approach to derive dose effects. In: 49th Annual Meeting of the Society for Invertebrate Pathology, Tours, France, 24-28 July 2016. (Unpublished)

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Abstract/Summary

Virulence of invertebrate pathogenic micro-organisms is generally assessed using dose-mortality bioassays to generate response curves. Estimate LD50/LC50 summary statistics at a determined time point is calculated, often using Probit analysis. Lower effect dose estimates may also be derived e.g. LD10 values but these are difficult to measure and variability is considerable. Recently, we examined whether a process-based approach starting from the Dynamic Energy Budget theory (DEB) could be used. DEB theory is basically a simple set of rules for how organisms acquire and use mass and energy to maintain their life history from birth to death and is extensively used in ecotoxicology. The process-based approach has a significant advantage in that the effects for all concentrations and all the intermediate time points are used in the analysis. This allows prediction of effects under untested conditions e.g. over time points beyond those of the assay. In addition lower effect dose estimates can be made in a more robust way. Experimental data were obtained using the cabbage moth Mamestra brassicae as an exemplar Lepidoptera model system in which to test the application of DEB models to describe time-dependent dose-mortality responses. Bioassays were run with two pathogens and a comparator chemical, namely: the nucleopolyhedrovirus Autographa californica NPV; the bacterium Bacillus thuringiensis var. kurstakii; and the pesticide Spinosad. Here, we describe for the first time the use of DEBtox analysis to describe experimental data sets involving entompathogenic micro-organisms.

Item Type: Publication - Conference Item (Paper)
CEH Sections: Acreman
Reynard
NORA Subject Terms: Biology and Microbiology
Date made live: 30 Jan 2017 13:38 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/516060

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