Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment

Murphy, Cheryl A.; Nisbet, Roger M.; Antczak, Philipp; Garcia-Reyero, NatÃ lia; Gergs, André; Lika, Konstadia; Mathews, Teresa J.; Müller, E.; Nacci, Diane; Peace, Angela; Remien, Christopher H.; Schultz, Irvin R.; Stevenson, Louise; Watanabe, Karen H.

doi:10.1002/ieam.4063

Cited by 47 publications

(60 citation statements)

References 72 publications

(112 reference statements)

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“…However, these models currently lack the ability to further these impacts to projections of those adverse effects on individual growth, reproduction and survival, which are in the realm of the DEB modelling framework. Thus, the AOP framework could provide the mechanistic basis for modelling toxic effects within the DEB modelling framework, and thereby opening the door to process‐based risk assessments in ecotoxicology (Murphy et al, ).…”

Section: Discussionmentioning

confidence: 99%

Regulation of reproductive processes with dynamic energy budgets

et al. 2019

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Linking organismal‐level processes to underlying suborganismal mechanisms at the molecular, cellular and organ level constitutes a major challenge for predictive ecological risk assessments. This challenge can be addressed with the simple bioenergetic models in the family of dynamic energy budget (DEB), which consist of a small number of state equations quantifying universal processes, such as feeding, maintenance, development, reproduction and growth. Motivated by the need for process‐based models to evaluate the impact of endocrine disruptors on ecologically relevant endpoints, this paper develops and evaluates two general modelling modules describing demand‐driven feedback mechanisms within the DEB modelling framework exerted by gonads on the allocation of resources to production of reproductive matter. These modules describe iteroparous, semelparous and batch‐mode reproductive strategies. The modules have a generic form with both positive and negative feedback components; species‐ and sex‐specific attributes of endocrine regulation can be added without changing the core of the modules. We demonstrate that these modules successfully describe time‐resolved measurements of wet weight of body, ovaries and liver, egg diameter and plasma content of vitellogenin and oestradiol in rainbow trout (Oncorynchus mykiss) by fitting these models to published and new data, which require the estimation of less than two parameters per data type. We illustrate the general applicability of the concept of demand‐driven allocation of resources to reproduction by evaluating one of the modules with data on growth and seed production of an annual plant, the common bean (Phaseolis vulgaris). A plain language summary is available for this article.

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Section: Discussionmentioning

confidence: 99%

Regulation of reproductive processes with dynamic energy budgets

et al. 2019

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“…Quantitative adverse outcome pathway models-Environmental Toxicology and Chemistry, 2019;38:1850-1865 events and also to determine energy distribution in DEB models and, in the process, connect key events to populationlevel endpoints (Ananthasubramaniam et al 2015;Murphy et al 2018b). When qAOP outputs are linked to DEB model input parameters, then these changes can be compared with known values of these parameters for a given or multiple species and used to extrapolate population effects.…”

Section: Extrapolation Of Qaop Models Across Speciesmentioning

confidence: 99%

Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment

Perkins

Ashauer

Burgoon

et al. 2019

Enviro Toxic and Chemistry

117

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An important goal in toxicology is the development of new ways to increase the speed, accuracy, and applicability of chemical hazard and risk assessment approaches. A promising route is the integration of in vitro assays with biological pathway information. We examined how the adverse outcome pathway (AOP) framework can be used to develop pathway‐based quantitative models useful for regulatory chemical safety assessment. By using AOPs as initial conceptual models and the AOP knowledge base as a source of data on key event relationships, different methods can be applied to develop computational quantitative AOP models (qAOPs) relevant for decision making. A qAOP model may not necessarily have the same structure as the AOP it is based on. Useful AOP modeling methods range from statistical, Bayesian networks, regression, and ordinary differential equations to individual‐based models and should be chosen according to the questions being asked and the data available. We discuss the need for toxicokinetic models to provide linkages between exposure and qAOPs, to extrapolate from in vitro to in vivo, and to extrapolate across species. Finally, we identify best practices for modeling and model building and the necessity for transparent and comprehensive documentation to gain confidence in the use of qAOP models and ultimately their use in regulatory applications. Environ Toxicol Chem 2019;38:1850–1865. © 2019 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.

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“…The use of AOP frameworks in ecosystem‐level risk assessment is promising for 2 reasons: 1) once fully developed, they will limit the amount of toxicological testing necessary, limiting use of experimental organisms and allowing contaminant‐based risks to be assessed using more in silico‐based approaches (Ankley et al ); and 2) they can enhance the number of contaminants assessed and endpoints evaluated, essentially providing faster, more cost‐effective means of ecological risk assessment (Murphy et al ). However, AOPs have yet to be extended beyond population and community effects to whole ecosystem responses.…”

Section: Ecosystem‐level Risk Assessmentsmentioning

confidence: 99%

“…Thus, in their present state, AOPs cannot be easily applied in ecosystem‐level risk assessment. The need for further development of AOPs to be used in risk assessment for higher levels of biological organization has recently been recognized by a number of research groups (Rohr et al ; Murphy et al ). In particular, Murphy et al () are making significant strides toward developing models that link the AOP framework to ecotoxicological models that can be used in higher tier ecological risk assessment.…”

Section: Ecosystem‐level Risk Assessmentsmentioning

confidence: 99%

“…The need for further development of AOPs to be used in risk assessment for higher levels of biological organization has recently been recognized by a number of research groups (Rohr et al ; Murphy et al ). In particular, Murphy et al () are making significant strides toward developing models that link the AOP framework to ecotoxicological models that can be used in higher tier ecological risk assessment. Recently, this group developed a conceptual model linking AOPs to bioenergetic models such as DEB, which could improve population‐level risk assessment by utilizing both the bottom‐up, molecular‐based aspects of AOPs and the top‐down, more population‐scalable aspects of DEB to evaluate the ecotoxicological effects of chemical contaminants.…”

Section: Ecosystem‐level Risk Assessmentsmentioning

confidence: 99%

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How do we take the pulse of an aquatic ecosystem? Current and historical approaches to measuring ecosystem integrity

Maloney

2019

Enviro Toxic and Chemistry

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Global environmental monitoring has indicated that the structure and function of some aquatic ecosystems has been significantly altered by human activities. There are many potential causes for these changes; however, one major concern is the increasing release of anthropogenic contaminants into aquatic environments. Although toxicological responses of individual organisms are typically well characterized, few studies have focused on characterizing toxicity at the ecosystem level. In fact, because of their scale and complexity, changes in ecosystem integrity are rarely considered in assessments of risks to ecosystems. This work attempts to move the conversation forward by defining integrity of ecosystems, reviewing current and historical approaches to measuring ecosystem integrity status (e.g., structural and functional measurements), and highlighting methods that could significantly contribute to the field of ecosystem toxicology (e.g., keystone species, environmental energetics, ecotoxicological modeling, and adverse outcome pathways [AOPs]). Through a critical analysis of current and historical methodologies, the present study offers a comprehensive, conceptual framework for the assessment of risks of contaminant exposure for whole ecosystems and proposes steps to facilitate better diagnoses of the integrity of aquatic systems. Environ Toxicol Chem 2019;38:289-301. C 2018 SETAC Environmental Toxicology and Chemistry, 2019;38:289-301-E.M. Maloney C 2018 SETAC wileyonlinelibrary.com/ETC

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Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment

Cited by 47 publications

References 72 publications

Regulation of reproductive processes with dynamic energy budgets

Regulation of reproductive processes with dynamic energy budgets

Building and Applying Quantitative Adverse Outcome Pathway Models for Chemical Hazard and Risk Assessment

How do we take the pulse of an aquatic ecosystem? Current and historical approaches to measuring ecosystem integrity

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