Literature DB >> 14768890

Energy-based modeling as a basis for the analysis of reproductive data with the midge (Chironomus riparius).

Virginie Ducrot1, Alexandre R R Péry, Raphaël Mons, Jeanne Garric.   

Abstract

We propose a biologically based approach to analyze reproductive data for the midge (Chironomus riparius). We showed in a previous study that its larval development can be divided in two distinct phases regarding the use of energy: The somatic growth period and the gametic growth period. We hypothesize here the gametic period to be a crucial period for the energetic investment for reproduction. To test this, we performed several assays with different feeding programs. Our results confirmed that energetic investment for reproduction mainly occurs during the gametic growth period. We could then propose energy-based models to analyze reproductive data. We assumed the effects to result from a perturbation in the use of energy. Two models corresponding to different physiological modes of actions--decreased efficiency of feeding (i.e., feeding decrease model) or increased cost of egg production (i.e., egg-cost increase model)--were built and used for the analysis of data obtained after an exposure to an artificially copper-spiked sediment. During this experiment, different exposure patterns were performed to investigate whether effects on reproduction resulted mainly from an exposure that occurs during the gametic growth period or from an exposure that occurs during the somatic growth period. These exposure patterns led to similar effects on reproduction, which suggests that the toxicant-induced stress persists during the whole life cycle, even in case of exposure occurring only during part of it. Both the feeding decrease model and egg-cost increase model were able to describe the data. We showed that addition of copper in the sediment, even in low quantity (<6.5 mg/kg), might affect reproduction at the individual level. If no-effect concentrations were derived from these results, this may lead to an overprotective value. A relevant no-effect concentration could be derived from further investigations at the population level.

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Year:  2004        PMID: 14768890     DOI: 10.1897/03-52

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  3 in total

1.  Individual-based model of Chironomus riparius population dynamics over several generations to explore adaptation following exposure to uranium-spiked sediments.

Authors:  Rémy Beaudouin; Victor Dias; Jean Marc Bonzom; Alexandre Péry
Journal:  Ecotoxicology       Date:  2012-03-07       Impact factor: 2.823

2.  Effects of copper on energy metabolism and larval development in the midge Chironomus riparius.

Authors:  María J Servia; Alexandre R R Péry; Micheline Heydorff; Jeanne Garric; Laurent Lagadic
Journal:  Ecotoxicology       Date:  2006-03-24       Impact factor: 2.823

3.  Persistence of aquatic insects across managed landscapes: effects of landscape permeability on re-colonization and population recovery.

Authors:  Nika Galic; Geerten M Hengeveld; Paul J Van den Brink; Amelie Schmolke; Pernille Thorbek; Eric Bruns; Hans M Baveco
Journal:  PLoS One       Date:  2013-01-24       Impact factor: 3.240

  3 in total

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