@article{4c11109e118b4cf39e7fdb7de9478cd6,
title = "Regulation of reproductive processes with dynamic energy budgets",
abstract = "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.",
keywords = "DEB theory, bioenergetics, dynamic energy budget, rainbow trout",
author = "Muller, {Erik B.} and Konstadia Lika and Nisbet, {Roger M.} and Schultz, {Irvin R.} and J{\'e}r{\^o}me Casas and Andr{\'e} Gergs and Murphy, {Cheryl A.} and Diane Nacci and Watanabe, {Karen H.}",
note = "Funding Information: Environmental Protection Agency, Grant/ Award Number: R835167, R835797 and R835798; National Science Foundation, Grant/Award Number: #DBI‐1300426; University of Tours; National Institute for Mathematical and Biological Synthesis; University of Tennessee Funding Information: We thank Louise Stevenson, Phillipp Antczak, Nat{\`a}lia Garcia‐ Reyero, Teresa Mathews, Christopher Remien, Tin KlanjD?{\v c}ek and two anonymous reviewers for critical comments. The U.S. Environmental Protection Agency's Science to Achieve Results programme supported this work via grants R835797, R835798 and R835167. Partial support was provided by the University of Tours through a visiting fellowship awarded to E.B.M. This work w a s c o n d u c t e d a s a p a r t o f t h e M o d e l i n g M o l e c u l e s ‐t o ‐ O r g a n i s m s Working Group at the National Institute for Mathematical and Biological Synthesis, sponsored by the National Science Foundation through NSF Award #DBI‐1300426, with additional support from The University of Tennessee, Knoxville. This work has not been formally reviewed by EPA or NSF. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and neither necessarily reflect the views of NSF nor those of EPA. The authors declare no conflicts of interest. Funding Information: We thank Louise Stevenson, Phillipp Antczak, Nat?lia Garcia-Reyero, Teresa Mathews, Christopher Remien, Tin Klanj??ek and two anonymous reviewers for critical comments. The U.S. Environmental Protection Agency's Science to Achieve Results programme supported this work via grants R835797, R835798 and R835167. Partial support was provided by the University of Tours through a visiting fellowship awarded to E.B.M. This work was conducted as a part of the Modeling Molecules-to-Organisms Working Group at the National Institute for Mathematical and Biological Synthesis, sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. This work has not been formally reviewed by EPA or NSF. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and neither necessarily reflect the views of NSF nor those of EPA. The authors declare no conflicts of interest. Publisher Copyright: {\textcopyright} 2019 The Authors. Functional Ecology {\textcopyright} 2019 British Ecological Society",
year = "2019",
month = may,
doi = "10.1111/1365-2435.13298",
language = "English (US)",
volume = "33",
pages = "819--832",
journal = "Functional Ecology",
issn = "0269-8463",
publisher = "Wiley-Blackwell",
number = "5",
}