Transgenerational Adaptation to Pollution Changes Energy Allocation in Populations of Nematodes

Goussen, Benoit; Péry, Alexandre R.R.; Bonzom, Jean‐Marc; Beaudouin, Rémy

doi:10.1021/acs.est.5b03405

Cited by 16 publications

(11 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Untangling an effect on maintenance cost or assimilation is, for example, particularly difficult when additional data on oxygen consumption are not available. Consequently, modeling work can fit equally well different MoA for a same contaminant, as observed for the effect of uranium on aquatic species (Augustine et al, 2012;Massarin et al, 2011;Goussen et al, 2015). In our study, the impact of BPA on v is the most suitable mode of action as it yields predictions particularly close to real values.…”

Section: Accepted Manuscript 43 Mode Of Action Of Imsupporting

confidence: 59%

Prediction of long-term variation in offspring metabolism due to BPA in eggs in rainbow trout using the DEB model

Sadoul

Augustine²,

Zimmer³

et al. 2019

Journal of Sea Research

View full text Add to dashboard Cite

Bisphenol A (BPA) in eggs prior to fertilization was found to induce long-term metabolic disturbances in juvenile rainbow trout (Oncorhynchus mykiss). Here we describe these imprinting effects in a Dynamic Energy Budget (DEB) framework, which allows interpretation of the data in an energy allocation context. First, DEB parameters for control rainbow trout were optimized using data extracted from 12 studies in the literature. Several modes of action on DEB parameters were then tested in order to correctly predict weight differences observed in rainbow trout in response to 5 different concentrations of BPA in eggs prior to fertilization. Reduced energy conductance v̇ at day 0, followed by an exponential recovery, was found to closely fit the experimental data. Effects on v̇ lasted beyond the disappearance of the chemical from the body, suggesting an imprinting effect of BPA on energy mobilization from the reserve. Our model predicts that early changes in DEB parameters lead to permanent and irreversible impairment of the metabolic growth acceleration in rainbow trout. Highlights ► A control DEB model was obtained for rainbow trout using data extracted from 12 studies. ► Mode of action of BPA exposure prior fertilization was investigated at 5 different concentrations. ► BPA imprints DEB parameters long after being cleared from the animal. ► Impaired DEB parameters at early life stages lead to irreversible changes related to acceleration factor. 1 Introduction Rainbow trout (Oncorhynchus mykiss), a native species from North America, is highly adaptive to a wide range of environments and widely distributed across all continents. This species primarily resides in freshwater, while their anadromous form, called steelhead trout, are euryhaline and migrates from river to ocean (McCormick et al., 2013). Rainbow trout is at the top of the food chain and, therefore, of major ecological importance. They are also the main freshwater cultured fish species in Europe, with a total value of almost 3 billion USD in 2015 (FAO Fisheries and Aquaculture Department, 2017). Trout is therefore of key importance ecologically and economically, motivating numerous research programs in understanding the effect of environmental factors on fish performance, including growth, immune function and coping with stressor. Bisphenol A (BPA) is a widely used industrial compound, especially in the manufacture of plastics and epoxy resins, and ubiquitously found in the aquatic environment. BPA is an endocrine-disrupting compound and affects various aspects of animal performance, including embryonic development (

show abstract

Section: Accepted Manuscript 43 Mode Of Action Of Imsupporting

confidence: 59%

Prediction of long-term variation in offspring metabolism due to BPA in eggs in rainbow trout using the DEB model

Sadoul

Augustine²,

Zimmer³

et al. 2019

Journal of Sea Research

View full text Add to dashboard Cite

show abstract

“…Sixteen-generation studies on the effect of uranium to C. elegans found adaptation to exposure conditions for both exposed and control populations. Observed effects on fecundity were consistent between population treatments, whereas in one of the studies effects on body length showed differential evolution over the exposure duration once maternal effects diminished [15,16].…”

Section: Introductionmentioning

confidence: 78%

“…the environmental risk may in fact be much greater than estimated from short-term testing). Further, in C. elegans, mitigation of maternal effects was only found after at least four generations of exposure to uranium [16,17]. The result may be a failure of environmental protection by environmental quality standards derived from single generation toxicity tests in cases (such as for Ag ENPs and Ag ions) where multigenerational exposure is relevant, especially in those cases where standards are derived without use of assessment factors (e.g.…”

Section: Discussionmentioning

confidence: 99%

Multigenerational exposure to silver ions and silver nanoparticles reveals heightened sensitivity and epigenetic memory inCaenorhabditis elegans

et al. 2016

View full text Add to dashboard Cite

The effects from multigenerational exposures to engineered nanoparticles (ENPs) in their pristine and transformed states are currently unknown despite such exposures being an increasingly common scenario in natural environments. Here, we examine how exposure over 10 generations affects the sensitivity of the nematode Caenorhabditis elegans to pristine and sulfidized Ag ENPs and AgNO 3 . We also include populations that were initially exposed over six generations but kept unexposed for subsequent four generations to allow recovery from exposure. Toxicity of the different silver forms decreased in the order AgNO 3 , Ag ENPs and Ag 2 S ENPs. Continuous exposure to Ag ENPs and AgNO 3 caused pronounced sensitization (approx. 10-fold) in the F2 generation, which was sustained until F10. This sensitization was less pronounced for Ag 2 S ENP exposures, indicating different toxicity mechanisms. Subtle changes in size and lifespan were also measured. In the recovery populations, the sensitivity to Ag ENPs and AgNO 3 resulting from the initial multigenerational exposure persisted. Their response sensitivity for all endpoints was most closely related to the last ancestral exposed generation (F5), rather than unexposed controls. The mechanisms of transgenerational transfer of sensitivity are probably organized through the epigenome, and we encourage others to investigate such effects as a priority for mechanistic toxicology.

show abstract

“…The organism level model needs to simulate life-history parameters such as survival, growth and reproduction because these determine population dynamics. As growth and reproduction are driven by an organisms’ energy balance, Dynamic Energy Budget models are particularly well suited to integrate toxicant and environmental stressors39404142.…”

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

Self Cite

View full text Add to dashboard Cite

Current environmental risk assessments (ERA) do not account explicitly for ecological factors (e.g. species composition, temperature or food availability) and multiple stressors. Assessing mixtures of chemical and ecological stressors is needed as well as accounting for variability in environmental conditions and uncertainty of data and models. Here we propose a novel probabilistic ERA framework to overcome these limitations, which focusses on visualising assessment outcomes by construct-ing and interpreting prevalence plots as a quantitative prediction of risk. Key components include environmental scenarios that integrate exposure and ecology, and ecological modelling of relevant endpoints to assess the effect of a combination of stressors. Our illustrative results demonstrate the importance of regional differences in environmental conditions and the confounding interactions of stressors. Using this framework and prevalence plots provides a risk-based approach that combines risk assessment and risk management in a meaningful way and presents a truly mechanistic alternative to the threshold approach. Even whilst research continues to improve the underlying models and data, regulators and decision makers can already use the framework and prevalence plots. The integration of multiple stressors, environmental conditions and variability makes ERA more relevant and realistic.

show abstract

Transgenerational Adaptation to Pollution Changes Energy Allocation in Populations of Nematodes

Cited by 16 publications

References 52 publications

Prediction of long-term variation in offspring metabolism due to BPA in eggs in rainbow trout using the DEB model

Prediction of long-term variation in offspring metabolism due to BPA in eggs in rainbow trout using the DEB model

Multigenerational exposure to silver ions and silver nanoparticles reveals heightened sensitivity and epigenetic memory inCaenorhabditis elegans

Integrated presentation of ecological risk from multiple stressors

Contact Info

Product

Resources

About