SALARECON connects the Atlantic salmon genome to growth and feed efficiency

Author:

Zakhartsev Maksim,Rotnes FilipORCID,Gulla MarieORCID,Øyås OveORCID,van Dam Jesse C. J.,Suarez-Diez MariaORCID,Grammes FabianORCID,Hafþórsson Róbert Anton,van Helvoirt WoutORCID,Koehorst Jasper J.ORCID,Schaap Peter J.,Jin YangORCID,Mydland Liv TorunnORCID,Gjuvsland Arne B.ORCID,Sandve Simen R.,Martins dos Santos Vitor A. P.,Vik Jon OlavORCID

Abstract

Atlantic salmon (Salmo salar) is the most valuable farmed fish globally and there is much interest in optimizing its genetics and rearing conditions for growth and feed efficiency. Marine feed ingredients must be replaced to meet global demand, with challenges for fish health and sustainability. Metabolic models can address this by connecting genomes to metabolism, which converts nutrients in the feed to energy and biomass, but such models are currently not available for major aquaculture species such as salmon. We present SALARECON, a model focusing on energy, amino acid, and nucleotide metabolism that links the Atlantic salmon genome to metabolic fluxes and growth. It performs well in standardized tests and captures expected metabolic (in)capabilities. We show that it can explain observed hypoxic growth in terms of metabolic fluxes and apply it to aquaculture by simulating growth with commercial feed ingredients. Predicted limiting amino acids and feed efficiencies agree with data, and the model suggests that marine feed efficiency can be achieved by supplementing a few amino acids to plant- and insect-based feeds. SALARECON is a high-quality model that makes it possible to simulate Atlantic salmon metabolism and growth. It can be used to explain Atlantic salmon physiology and address key challenges in aquaculture such as development of sustainable feeds.

Funder

Norges Forskningsråd

Publisher

Public Library of Science (PLoS)

Subject

Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics

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