Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.

The blue mussel, Mytilus edulis, is a commercially important species, with production based on both fisheries and aquaculture. Dynamic Energy Budget (DEB) models have been extensively applied to study its energetics but such applications require a deep understanding of its nutrition, from filtration...

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Main Authors: Coralie Picoche, Romain Le Gendre, Jonathan Flye-Sainte-Marie, Sylvaine Françoise, Frank Maheux, Benjamin Simon, Aline Gangnery
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4207687?pdf=render
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spelling doaj-788d6a8d567d40e58d9851e920738bae2020-11-24T21:38:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01910e10979610.1371/journal.pone.0109796Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.Coralie PicocheRomain Le GendreJonathan Flye-Sainte-MarieSylvaine FrançoiseFrank MaheuxBenjamin SimonAline GangneryThe blue mussel, Mytilus edulis, is a commercially important species, with production based on both fisheries and aquaculture. Dynamic Energy Budget (DEB) models have been extensively applied to study its energetics but such applications require a deep understanding of its nutrition, from filtration to assimilation. Being filter feeders, mussels show multiple responses to temporal fluctuations in their food and environment, raising questions that can be investigated by modeling. To provide a better insight into mussel-environment interactions, an experiment was conducted in one of the main French growing zones (Utah Beach, Normandy). Mussel growth was monitored monthly for 18 months, with a large number of environmental descriptors measured in parallel. Food proxies such as chlorophyll a, particulate organic carbon and phytoplankton were also sampled, in addition to non-nutritious particles. High-frequency physical data recording (e.g., water temperature, immersion duration) completed the habitat description. Measures revealed an increase in dry flesh mass during the first year, followed by a high mass loss, which could not be completely explained by the DEB model using raw external signals. We propose two methods that reconstruct food from shell length and dry flesh mass variations. The former depends on the inversion of the growth equation while the latter is based on iterative simulations. Assemblages of food proxies are then related to reconstructed food input, with a special focus on plankton species. A characteristic contribution is attributed to these sources to estimate nutritional values for mussels. M. edulis shows no preference between most plankton life history traits. Selection is based on the size of the ingested particles, which is modified by the volume and social behavior of plankton species. This finding reveals the importance of diet diversity and both passive and active selections, and confirms the need to adjust DEB models to different populations and sites.http://europepmc.org/articles/PMC4207687?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Coralie Picoche
Romain Le Gendre
Jonathan Flye-Sainte-Marie
Sylvaine Françoise
Frank Maheux
Benjamin Simon
Aline Gangnery
spellingShingle Coralie Picoche
Romain Le Gendre
Jonathan Flye-Sainte-Marie
Sylvaine Françoise
Frank Maheux
Benjamin Simon
Aline Gangnery
Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
PLoS ONE
author_facet Coralie Picoche
Romain Le Gendre
Jonathan Flye-Sainte-Marie
Sylvaine Françoise
Frank Maheux
Benjamin Simon
Aline Gangnery
author_sort Coralie Picoche
title Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
title_short Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
title_full Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
title_fullStr Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
title_full_unstemmed Towards the determination of Mytilus edulis food preferences using the dynamic energy budget (DEB) theory.
title_sort towards the determination of mytilus edulis food preferences using the dynamic energy budget (deb) theory.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description The blue mussel, Mytilus edulis, is a commercially important species, with production based on both fisheries and aquaculture. Dynamic Energy Budget (DEB) models have been extensively applied to study its energetics but such applications require a deep understanding of its nutrition, from filtration to assimilation. Being filter feeders, mussels show multiple responses to temporal fluctuations in their food and environment, raising questions that can be investigated by modeling. To provide a better insight into mussel-environment interactions, an experiment was conducted in one of the main French growing zones (Utah Beach, Normandy). Mussel growth was monitored monthly for 18 months, with a large number of environmental descriptors measured in parallel. Food proxies such as chlorophyll a, particulate organic carbon and phytoplankton were also sampled, in addition to non-nutritious particles. High-frequency physical data recording (e.g., water temperature, immersion duration) completed the habitat description. Measures revealed an increase in dry flesh mass during the first year, followed by a high mass loss, which could not be completely explained by the DEB model using raw external signals. We propose two methods that reconstruct food from shell length and dry flesh mass variations. The former depends on the inversion of the growth equation while the latter is based on iterative simulations. Assemblages of food proxies are then related to reconstructed food input, with a special focus on plankton species. A characteristic contribution is attributed to these sources to estimate nutritional values for mussels. M. edulis shows no preference between most plankton life history traits. Selection is based on the size of the ingested particles, which is modified by the volume and social behavior of plankton species. This finding reveals the importance of diet diversity and both passive and active selections, and confirms the need to adjust DEB models to different populations and sites.
url http://europepmc.org/articles/PMC4207687?pdf=render
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