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The AmP project: Comparing species on the basis of dynamic energy budget parameters

We developed new methods for parameter estimation-in-context and, with the help of 125 authors, built the AmP (Add-my-Pet) database of Dynamic Energy Budget (DEB) models, parameters and referenced underlying data for animals, where each species constitutes one database entry. The combination of DEB...

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Autores principales: Marques, Gonçalo M., Augustine, Starrlight, Lika, Konstadia, Pecquerie, Laure, Domingos, Tiago, Kooijman, Sebastiaan A. L. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962104/
https://www.ncbi.nlm.nih.gov/pubmed/29742099
http://dx.doi.org/10.1371/journal.pcbi.1006100
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author Marques, Gonçalo M.
Augustine, Starrlight
Lika, Konstadia
Pecquerie, Laure
Domingos, Tiago
Kooijman, Sebastiaan A. L. M.
author_facet Marques, Gonçalo M.
Augustine, Starrlight
Lika, Konstadia
Pecquerie, Laure
Domingos, Tiago
Kooijman, Sebastiaan A. L. M.
author_sort Marques, Gonçalo M.
collection PubMed
description We developed new methods for parameter estimation-in-context and, with the help of 125 authors, built the AmP (Add-my-Pet) database of Dynamic Energy Budget (DEB) models, parameters and referenced underlying data for animals, where each species constitutes one database entry. The combination of DEB parameters covers all aspects of energetics throughout the full organism’s life cycle, from the start of embryo development to death by aging. The species-specific parameter values capture biodiversity and can now, for the first time, be compared between animals species. An important insight brought by the AmP project is the classification of animal energetics according to a family of related DEB models that is structured on the basis of the mode of metabolic acceleration, which links up with the development of larval stages. We discuss the evolution of metabolism in this context, among animals in general, and ray-finned fish, mollusks and crustaceans in particular. New DEBtool code for estimating DEB parameters from data has been written. AmPtool code for analyzing patterns in parameter values has also been created. A new web-interface supports multiple ways to visualize data, parameters, and implied properties from the entire collection as well as on an entry by entry basis. The DEB models proved to fit data well, the median relative error is only 0.07, for the 1035 animal species at 2018/03/12, including some extinct ones, from all large phyla and all chordate orders, spanning a range of body masses of 16 orders of magnitude. This study is a first step to include evolutionary aspects into parameter estimation, allowing to infer properties of species for which very little is known.
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spelling pubmed-59621042018-06-02 The AmP project: Comparing species on the basis of dynamic energy budget parameters Marques, Gonçalo M. Augustine, Starrlight Lika, Konstadia Pecquerie, Laure Domingos, Tiago Kooijman, Sebastiaan A. L. M. PLoS Comput Biol Research Article We developed new methods for parameter estimation-in-context and, with the help of 125 authors, built the AmP (Add-my-Pet) database of Dynamic Energy Budget (DEB) models, parameters and referenced underlying data for animals, where each species constitutes one database entry. The combination of DEB parameters covers all aspects of energetics throughout the full organism’s life cycle, from the start of embryo development to death by aging. The species-specific parameter values capture biodiversity and can now, for the first time, be compared between animals species. An important insight brought by the AmP project is the classification of animal energetics according to a family of related DEB models that is structured on the basis of the mode of metabolic acceleration, which links up with the development of larval stages. We discuss the evolution of metabolism in this context, among animals in general, and ray-finned fish, mollusks and crustaceans in particular. New DEBtool code for estimating DEB parameters from data has been written. AmPtool code for analyzing patterns in parameter values has also been created. A new web-interface supports multiple ways to visualize data, parameters, and implied properties from the entire collection as well as on an entry by entry basis. The DEB models proved to fit data well, the median relative error is only 0.07, for the 1035 animal species at 2018/03/12, including some extinct ones, from all large phyla and all chordate orders, spanning a range of body masses of 16 orders of magnitude. This study is a first step to include evolutionary aspects into parameter estimation, allowing to infer properties of species for which very little is known. Public Library of Science 2018-05-09 /pmc/articles/PMC5962104/ /pubmed/29742099 http://dx.doi.org/10.1371/journal.pcbi.1006100 Text en © 2018 Marques et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Marques, Gonçalo M.
Augustine, Starrlight
Lika, Konstadia
Pecquerie, Laure
Domingos, Tiago
Kooijman, Sebastiaan A. L. M.
The AmP project: Comparing species on the basis of dynamic energy budget parameters
title The AmP project: Comparing species on the basis of dynamic energy budget parameters
title_full The AmP project: Comparing species on the basis of dynamic energy budget parameters
title_fullStr The AmP project: Comparing species on the basis of dynamic energy budget parameters
title_full_unstemmed The AmP project: Comparing species on the basis of dynamic energy budget parameters
title_short The AmP project: Comparing species on the basis of dynamic energy budget parameters
title_sort amp project: comparing species on the basis of dynamic energy budget parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962104/
https://www.ncbi.nlm.nih.gov/pubmed/29742099
http://dx.doi.org/10.1371/journal.pcbi.1006100
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