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

Abstract

Here, a working group at the National Institute for Mathematical and Biological Synthesis (NIMBioS) explored the feasibility of integrating 2 complementary approaches relevant to ecological risk assessment. Adverse outcome pathway (AOP) models provide “bottom-up” mechanisms to predict specific toxicological effects that could affect an individual's ability to grow, reproduce, and/or survive from a molecular initiating event. Dynamic energy budget (DEB) models offer a “top-down” approach that reverse engineers stressor effects on growth, reproduction, and/or survival into modular characterizations related to the acquisition and processing of energy resources. Thus, AOP models quantify linkages between measurable molecular, cellular, or organ-level events, but they do not offer an explicit route to integratively characterize stressor effects at higher levels of organization. While DEB models provide the inherent basis to link effects on individuals to those at the population and ecosystem levels, their use of abstract variables obscures mechanistic connections to suborganismal biology. To take advantage of both approaches, we developed a conceptual model to link DEB and AOP models by interpreting AOP key events as measures of damage-inducing processes affecting DEB variables and rates. We report on the type and structure of data that are generated for AOP models that may also be usefulmore » for DEB models. We also report on case studies under development that merge information collected for AOPs with DEB models and highlight some of the challenges. Finally, we discuss how the linkage of these 2 approaches can improve ecological risk assessment, with possibilities for progress in predicting population responses to toxicant exposures within realistic environments.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [6]; ORCiD logo [7];  [8];  [9];  [10];  [11];  [12];  [2];  [13]
  1. Michigan State Univ., East Lansing, MI (United States)
  2. Univ. of California, Santa Barbara, CA (United States)
  3. Univ. of Liverpool, Liverpool (United Kingdom)
  4. U.S. Army Engineer Research & Development Center, Vicksburg, MS (United States)
  5. Gaiac - Research Institute for Ecosystem Analysis and Assessment, Aachen (Germany)
  6. Univ. of Crete, Heraklion (Greece)
  7. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  8. Univ. of California, Santa Barbara, CA (United States); Univ. of Science and Technology, Trondheim (Norway)
  9. U.S. Environmental Protection Agency (EPA), Narragansett, RI (United States)
  10. Texas Tech Univ., Lubbock, TX (United States)
  11. Univ. of Idaho, Moscow, ID (United States)
  12. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); National Oceanic and Atmospheric Administration, Seattle, WA (United States)
  13. Arizona State Univ., Glendale, AZ (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1465049
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Integrated Environmental Assessment and Management
Additional Journal Information:
Journal Volume: 14; Journal Issue: 5; Journal ID: ISSN 1551-3777
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; adverse outcome pathways; dynamic energy budgets; ecological risk assessment; suborganismal processes; mechanistic

Citation Formats

Murphy, Cheryl A,, Nisbet, Roger M., Antczak, Philipp, Reyero, Natalia Garcia-, Gergs, Andre, Lika, Dina, Mathews, Teresa J., Muller, Eric, Nacci, Dianne, Peace, Angie, Remien, Christopher H., Schultz, Irvin R., Stevenson, Louise, and Watanabe, Karen. Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment. United States: N. p., 2018. Web. doi:10.1002/ieam.4063.
Murphy, Cheryl A,, Nisbet, Roger M., Antczak, Philipp, Reyero, Natalia Garcia-, Gergs, Andre, Lika, Dina, Mathews, Teresa J., Muller, Eric, Nacci, Dianne, Peace, Angie, Remien, Christopher H., Schultz, Irvin R., Stevenson, Louise, & Watanabe, Karen. Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment. United States. doi:10.1002/ieam.4063.
Murphy, Cheryl A,, Nisbet, Roger M., Antczak, Philipp, Reyero, Natalia Garcia-, Gergs, Andre, Lika, Dina, Mathews, Teresa J., Muller, Eric, Nacci, Dianne, Peace, Angie, Remien, Christopher H., Schultz, Irvin R., Stevenson, Louise, and Watanabe, Karen. Tue . "Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment". United States. doi:10.1002/ieam.4063. https://www.osti.gov/servlets/purl/1465049.
@article{osti_1465049,
title = {Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment},
author = {Murphy, Cheryl A, and Nisbet, Roger M. and Antczak, Philipp and Reyero, Natalia Garcia- and Gergs, Andre and Lika, Dina and Mathews, Teresa J. and Muller, Eric and Nacci, Dianne and Peace, Angie and Remien, Christopher H. and Schultz, Irvin R. and Stevenson, Louise and Watanabe, Karen},
abstractNote = {Here, a working group at the National Institute for Mathematical and Biological Synthesis (NIMBioS) explored the feasibility of integrating 2 complementary approaches relevant to ecological risk assessment. Adverse outcome pathway (AOP) models provide “bottom-up” mechanisms to predict specific toxicological effects that could affect an individual's ability to grow, reproduce, and/or survive from a molecular initiating event. Dynamic energy budget (DEB) models offer a “top-down” approach that reverse engineers stressor effects on growth, reproduction, and/or survival into modular characterizations related to the acquisition and processing of energy resources. Thus, AOP models quantify linkages between measurable molecular, cellular, or organ-level events, but they do not offer an explicit route to integratively characterize stressor effects at higher levels of organization. While DEB models provide the inherent basis to link effects on individuals to those at the population and ecosystem levels, their use of abstract variables obscures mechanistic connections to suborganismal biology. To take advantage of both approaches, we developed a conceptual model to link DEB and AOP models by interpreting AOP key events as measures of damage-inducing processes affecting DEB variables and rates. We report on the type and structure of data that are generated for AOP models that may also be useful for DEB models. We also report on case studies under development that merge information collected for AOPs with DEB models and highlight some of the challenges. Finally, we discuss how the linkage of these 2 approaches can improve ecological risk assessment, with possibilities for progress in predicting population responses to toxicant exposures within realistic environments.},
doi = {10.1002/ieam.4063},
journal = {Integrated Environmental Assessment and Management},
issn = {1551-3777},
number = 5,
volume = 14,
place = {United States},
year = {2018},
month = {6}
}

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Works referenced in this record:

Energy-based modelling to assess effects of chemicals on Caenorhabditis elegans: A case study on uranium
journal, February 2015


A Framework for Human Relevance Analysis of Information on Carcinogenic Modes of Action
journal, January 2003

  • Meek, M. E. (Bette); Bucher, John R.; Cohen, Samuel M.
  • Critical Reviews in Toxicology, Vol. 33, Issue 6
  • DOI: 10.1080/713608373

A Computational Model of the Rainbow Trout Hypothalamus-Pituitary-Ovary-Liver Axis
journal, April 2016


The “covariation method” for estimating the parameters of the standard Dynamic Energy Budget model I: Philosophy and approach
journal, November 2011


Policy reforms to update chemical safety testing
journal, March 2017


Toxicokinetic Toxicodynamic (TKTD) Modeling of Ag Toxicity in Freshwater Organisms: Whole-Body Sodium Loss Predicts Acute Mortality Across Aquatic Species
journal, November 2014

  • Veltman, Karin; Hendriks, A. Jan; Huijbregts, Mark A. J.
  • Environmental Science & Technology, Vol. 48, Issue 24
  • DOI: 10.1021/es504604w

Physics of metabolic organization
journal, March 2017


New Ecotoxicological Model To Simulate Survival of Aquatic Invertebrates after Exposure to Fluctuating and Sequential Pulses of Pesticides
journal, February 2007

  • Ashauer, Roman; Boxall, Alistair B. A.; Brown, Colin D.
  • Environmental Science & Technology, Vol. 41, Issue 4
  • DOI: 10.1021/es061727b

Predicting Population Dynamics from the Properties of Individuals: A Cross-Level Test of Dynamic Energy Budget Theory
journal, April 2013

  • Martin, Benjamin T.; Jager, Tjalling; Nisbet, Roger M.
  • The American Naturalist, Vol. 181, Issue 4
  • DOI: 10.1086/669904

Feedbacks and tipping points in organismal response to oxidative stress
journal, September 2016


The bijection from data to parameter space with the standard DEB model quantifies the supply–demand spectrum
journal, August 2014

  • Lika, Konstadia; Augustine, Starrlight; Pecquerie, Laure
  • Journal of Theoretical Biology, Vol. 354
  • DOI: 10.1016/j.jtbi.2014.03.025

Demographic Toxicokinetic–Toxicodynamic Modeling of Lethal Effects
journal, May 2016

  • Gergs, André; Gabsi, Faten; Zenker, Armin
  • Environmental Science & Technology, Vol. 50, Issue 11
  • DOI: 10.1021/acs.est.6b01113

Analysis of size Trajectory data Using an Energetic-Based Growth Model
journal, June 2005

  • Fujiwara, Masami; Kendall, Bruce E.; Nisbet, Roger M.
  • Ecology, Vol. 86, Issue 6
  • DOI: 10.1890/04-1351

A biology-based approach for mixture toxicity of multiple endpoints over the life cycle
journal, September 2009


mixOmics: An R package for ‘omics feature selection and multiple data integration
journal, November 2017


Adverse outcome pathways and ecological risk assessment: Bridging to population-level effects
journal, November 2010

  • Kramer, Vincent J.; Etterson, Matthew A.; Hecker, Markus
  • Environmental Toxicology and Chemistry, Vol. 30, Issue 1
  • DOI: 10.1002/etc.375

Physiological modes of action across species and toxicants: the key to predictive ecotoxicology
journal, January 2018

  • Ashauer, Roman; Jager, Tjalling
  • Environmental Science: Processes & Impacts, Vol. 20, Issue 1
  • DOI: 10.1039/C7EM00328E

Towards a System Level Understanding of Non-Model Organisms Sampled from the Environment: A Network Biology Approach
journal, August 2011


General Unified Threshold Model of Survival - a Toxicokinetic-Toxicodynamic Framework for Ecotoxicology
journal, April 2011

  • Jager, Tjalling; Albert, Carlo; Preuss, Thomas G.
  • Environmental Science & Technology, Vol. 45, Issue 7
  • DOI: 10.1021/es103092a

Toward designing safer chemicals
journal, January 2015


Modeling Receptor Kinetics in the Analysis of Survival Data for Organophosphorus Pesticides
journal, November 2005

  • Jager, Tjalling; Kooijman, Sebastiaan A. L. M.
  • Environmental Science & Technology, Vol. 39, Issue 21
  • DOI: 10.1021/es050817y

The pros and cons of ecological risk assessment based on data from different levels of biological organization
journal, June 2016


Near-future ocean acidification impacts maintenance costs in sea-urchin larvae: Identification of stress factors and tipping points using a DEB modelling approach
journal, January 2016

  • Jager, Tjalling; Ravagnan, Elisa; Dupont, Sam
  • Journal of Experimental Marine Biology and Ecology, Vol. 474
  • DOI: 10.1016/j.jembe.2015.09.016

Chemical safety must extend to ecosystems
journal, June 2017

  • Rohr, Jason R.; Salice, Christopher J.; Nisbet, Roger M.
  • Science, Vol. 356, Issue 6341
  • DOI: 10.1126/science.aan4968

Bayesian inference for bioenergetic models
journal, April 2013

  • Johnson, Leah R.; Pecquerie, Laure; Nisbet, Roger M.
  • Ecology, Vol. 94, Issue 4
  • DOI: 10.1890/12-0650.1

From molecules to ecosystems through dynamic energy budget models
journal, December 2000


Adverse outcome pathways: A conceptual framework to support ecotoxicology research and risk assessment
journal, March 2010

  • Ankley, Gerald T.; Bennett, Richard S.; Erickson, Russell J.
  • Environmental Toxicology and Chemistry, Vol. 29, Issue 3
  • DOI: 10.1002/etc.34

Limitations of extrapolating toxic effects on reproduction to the population level
journal, December 2014

  • Martin, Benjamin; Jager, Tjalling; Nisbet, Roger M.
  • Ecological Applications, Vol. 24, Issue 8
  • DOI: 10.1890/14-0656.1

Testing and Applying a fish Vitellogenesis Model to Evaluate Laboratory and Field Biomarkers of Endocrine Disruption in Atlantic Croaker (Micropogonias Undulatus) Exposed to Hypoxia
journal, January 2009

  • Murphy, Cheryl A.; Rose, Kenneth A.; Rahman, M. Saydur
  • Environmental Toxicology and Chemistry, Vol. 28, Issue 6
  • DOI: 10.1897/08-304.1

The Elizabeth River Story: A Case Study in Evolutionary Toxicology
journal, August 2015

  • Di Giulio, Richard T.; Clark, Bryan W.
  • Journal of Toxicology and Environmental Health, Part B, Vol. 18, Issue 6
  • DOI: 10.1080/15320383.2015.1074841

A framework for predicting impacts on ecosystem services from (sub)organismal responses to chemicals
journal, March 2017

  • Forbes, Valery E.; Salice, Chris J.; Birnir, Bjorn
  • Environmental Toxicology and Chemistry, Vol. 36, Issue 4
  • DOI: 10.1002/etc.3720

IPCS Framework for Analyzing the Relevance of a Noncancer Mode of Action for Humans
journal, January 2008

  • Boobis, Alan R.; Doe, John E.; Heinrich-Hirsch, Barbara
  • Critical Reviews in Toxicology, Vol. 38, Issue 2
  • DOI: 10.1080/10408440701749421

A Computational Model of the Hypothalamic-Pituitary-Gonadal Axis in Male Fathead Minnows Exposed to 17α-Ethinylestradiol and 17β-Estradiol
journal, April 2009

  • Watanabe, Karen H.; Li, Zhenhong; Kroll, Kevin J.
  • Toxicological Sciences, Vol. 109, Issue 2
  • DOI: 10.1093/toxsci/kfp069

IPCS Framework for Analyzing the Relevance of a Cancer Mode of Action for Humans
journal, January 2006

  • Boobis, Alan R.; Cohen, Samuel M.; Dellarco, Vicki
  • Critical Reviews in Toxicology, Vol. 36, Issue 10
  • DOI: 10.1080/10408440600977677

Modeling responses of Daphnia magna to pesticide pulse exposure under varying food conditions: intrinsic versus apparent sensitivity
journal, October 2006


Making Sense of Ecotoxicological Test Results: Towards Application of Process-based Models
journal, April 2006

  • Jager, Tjalling; Heugens, Evelyn H. W.; Kooijman, Sebastiaan A. L. M.
  • Ecotoxicology, Vol. 15, Issue 3
  • DOI: 10.1007/s10646-006-0060-x

Dynamic Energy Budget Theory: An Efficient and General Theory for Ecology
journal, February 2015

  • Kearney, Michael R.; Domingos, Tiago; Nisbet, Roger
  • BioScience, Vol. 65, Issue 4
  • DOI: 10.1093/biosci/biv013

The genomic landscape of rapid repeated evolutionary adaptation to toxic pollution in wild fish
journal, December 2016


Advantages of toxicokinetic and toxicodynamic modelling in aquatic ecotoxicology and risk assessment
journal, January 2010

  • Ashauer, Roman; Escher, Beate I.
  • Journal of Environmental Monitoring, Vol. 12, Issue 11
  • DOI: 10.1039/c0em00234h

Analysis of toxicity tests on Daphnia survival and reproduction
journal, July 1996


Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish
journal, February 2016

  • Margiotta-Casaluci, Luigi; Owen, Stewart F.; Huerta, Belinda
  • Scientific Reports, Vol. 6, Issue 1
  • DOI: 10.1038/srep21978

Effects of light intensity on the phototoxicity of fluoranthene to a benthic macroinvertebrate
journal, November 1995

  • Ankley, Gerald T.; Erickson, Russell J.; Phipps, Gary L.
  • Environmental Science & Technology, Vol. 29, Issue 11
  • DOI: 10.1021/es00011a019

Sublethal toxicant effects with dynamic energy budget theory: model formulation
journal, July 2009


Effects of Anthropogenic Pollution on the Oxidative Phosphorylation Pathway of Hepatocytes from Natural Populations of Fundulus heteroclitus
journal, August 2015


Modeling Physiological Processes That Relate Toxicant Exposure and Bacterial Population Dynamics
journal, February 2012


Toxicokinetic and toxicodynamic model for diazinon toxicity-mechanistic explanation of differences in the sensitivity of Daphnia magna and Gammarus pulex
journal, July 2012

  • Kretschmann, Andreas; Ashauer, Roman; Hollender, Juliane
  • Environmental Toxicology and Chemistry, Vol. 31, Issue 9
  • DOI: 10.1002/etc.1905

Genetic basis for rapidly evolved tolerance in the wild: adaptation to toxic pollutants by an estuarine fish species
journal, October 2016

  • Nacci, Diane; Proestou, Dina; Champlin, Denise
  • Molecular Ecology, Vol. 25, Issue 21
  • DOI: 10.1111/mec.13848

Energy budgets can explain body size relations
journal, August 1986


Mechanistic Toxicodynamic Model for Receptor-Mediated Toxicity of Diazoxon, the Active Metabolite of Diazinon, in Daphnia magna
journal, June 2011

  • Kretschmann, Andreas; Ashauer, Roman; Hitzfeld, Kristina
  • Environmental Science & Technology, Vol. 45, Issue 11
  • DOI: 10.1021/es1042386

Overview: Using Mode of Action and Life Stage Information to Evaluate the Human Relevance of Animal Toxicity Data
journal, January 2005

  • Seed, Jennifer; Carney, Edward W.; Corley, Richard A.
  • Critical Reviews in Toxicology, Vol. 35, Issue 8-9
  • DOI: 10.1080/10408440591007133

Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology
journal, April 2017

  • Conolly, Rory B.; Ankley, Gerald T.; Cheng, WanYun
  • Environmental Science & Technology, Vol. 51, Issue 8
  • DOI: 10.1021/acs.est.6b06230

Understanding toxicity as processes in time
journal, August 2010


Double Trouble at High Density: Cross-Level Test of Resource-Related Adaptive Plasticity and Crowding-Related Fitness
journal, March 2014


Interpreting toxicity data in a DEB framework: A case study for nonylphenol in the marine polychaete Capitella teleta
journal, November 2011


The model organism as a system: integrating 'omics' data sets
journal, March 2006

  • Joyce, Andrew R.; Palsson, Bernhard Ø.
  • Nature Reviews Molecular Cell Biology, Vol. 7, Issue 3
  • DOI: 10.1038/nrm1857

Adverse Outcome Pathway (AOP) Development I: Strategies and Principles
journal, December 2014

  • Villeneuve, Daniel L.; Crump, Doug; Garcia-Reyero, Natàlia
  • Toxicological Sciences, Vol. 142, Issue 2
  • DOI: 10.1093/toxsci/kfu199

Predicting environmental risk: A road map for the future
journal, August 2016


Toxicokinetic-toxicodynamic modeling of quantal and graded sublethal endpoints: A brief discussion of concepts
journal, August 2011

  • Ashauer, Roman; Agatz, Annika; Albert, Carlo
  • Environmental Toxicology and Chemistry, Vol. 30, Issue 11
  • DOI: 10.1002/etc.639

From food-dependent statistics to metabolic parameters, a practical guide to the use of dynamic energy budget theory
journal, October 2008


Integrating Omic Technologies into Aquatic Ecological Risk Assessment and Environmental Monitoring: Hurdles, Achievements, and Future Outlook
journal, January 2010

  • Van Aggelen, Graham; Ankley, Gerald T.; Baldwin, William S.
  • Environmental Health Perspectives, Vol. 118, Issue 1
  • DOI: 10.1289/ehp.0900985

    Works referencing / citing this record:

    Regulation of reproductive processes with dynamic energy budgets
    journal, February 2019

    • Muller, Erik B.; Lika, Konstadia; Nisbet, Roger M.
    • Functional Ecology, Vol. 33, Issue 5
    • DOI: 10.1111/1365-2435.13298