In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 18, No. 6 ( 2022-6-10), p. e1010194-
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.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1010194
DOI:
10.1371/journal.pcbi.1010194.g001
DOI:
10.1371/journal.pcbi.1010194.g002
DOI:
10.1371/journal.pcbi.1010194.g003
DOI:
10.1371/journal.pcbi.1010194.g004
DOI:
10.1371/journal.pcbi.1010194.g005
DOI:
10.1371/journal.pcbi.1010194.t001
DOI:
10.1371/journal.pcbi.1010194.s001
DOI:
10.1371/journal.pcbi.1010194.s002
DOI:
10.1371/journal.pcbi.1010194.s003
DOI:
10.1371/journal.pcbi.1010194.s004
DOI:
10.1371/journal.pcbi.1010194.s005
DOI:
10.1371/journal.pcbi.1010194.s006
DOI:
10.1371/journal.pcbi.1010194.s007
DOI:
10.1371/journal.pcbi.1010194.s008
DOI:
10.1371/journal.pcbi.1010194.s009
DOI:
10.1371/journal.pcbi.1010194.s010
DOI:
10.1371/journal.pcbi.1010194.s011
DOI:
10.1371/journal.pcbi.1010194.s012
DOI:
10.1371/journal.pcbi.1010194.s013
DOI:
10.1371/journal.pcbi.1010194.r001
DOI:
10.1371/journal.pcbi.1010194.r002
DOI:
10.1371/journal.pcbi.1010194.r003
DOI:
10.1371/journal.pcbi.1010194.r004
DOI:
10.1371/journal.pcbi.1010194.r005
DOI:
10.1371/journal.pcbi.1010194.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2193340-6
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