Towards the Determination of Mytilus edulis Food Preferences Using the Dynamic Energy Budget (DEB) Theory

Type Article
Date 2014-10
Language English
Author(s) Picoche Coralie1, Le Gendre RomainORCID1, Flye-Sainte-Marie Jonathan2, Francoise Sylvaine1, Maheux Frank1, Simon Benjamin1, Gangnery AlineORCID1
Affiliation(s) 1 : IFREMER, Lab Environm Ressources Normandie, Port En Bessin, France.
2 : Univ Bretagne Occidentale, Inst Univ Europeen Mer, Lab Sci Environnement Marin LEMAR, UMR 6539,CNRS,UBO,IRD,IFREMER, Plouzane, France.
Source Plos One (1932-6203) (Public Library Science), 2014-10 , Vol. 9 , N. 10 , P. 1-13
DOI 10.1371/journal.pone.0109796
WOS© Times Cited 14
Abstract 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.
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