Evidence map›Paper›PMID 35687595›Full record

ArticlePLoS computational biology2022

SALARECON connects the Atlantic salmon genome to growth and feed efficiency.

Maksim Zakhartsev, Filip Rotnes, Marie Gulla, Ove Øyås, Jesse C J van Dam, Maria Suarez-Diez, Fabian Grammes, Róbert Anton Hafþórsson, Wout van Helvoirt, Jasper J Koehorst and 7 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Maksim ZakhartsevFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway.
Filip RotnesFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-1702-7379
Marie GullaFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-5680-4855
Ove ØyåsFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0001-6990-0339
Jesse C J van DamLaboratory of Systems and Synthetic Biology, Wageningen University & Research (WUR), Wageningen, The Netherlands.
Maria Suarez-DiezLaboratory of Systems and Synthetic Biology, Wageningen University & Research (WUR), Wageningen, The Netherlands.ORCID 0000-0001-5845-146X
Fabian GrammesFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-9551-9280
Róbert Anton HafþórssonFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.
Wout van HelvoirtFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-9143-9726
Jasper J KoehorstLaboratory of Systems and Synthetic Biology, Wageningen University & Research (WUR), Wageningen, The Netherlands.ORCID 0000-0001-8172-8981
Peter J SchaapLaboratory of Systems and Synthetic Biology, Wageningen University & Research (WUR), Wageningen, The Netherlands.
Yang JinFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0001-5597-8397
Liv Torunn MydlandFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-9361-3687
Arne B GjuvslandFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-4391-3411
Simen R SandveFaculty of Biosciences, Norwegian University of Life Sciences (NMBU), Ås, Norway.
Vitor A P Martins Dos SantosLaboratory of Systems and Synthetic Biology, Wageningen University & Research (WUR), Wageningen, The Netherlands.
Jon Olav VikFaculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences (NMBU), Ås, Norway.ORCID 0000-0002-7778-4515

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Animal FeedSalmo salarAmino AcidsAnimalsAquacultureAmino Acids

Identifiers

PMID35687595
PMCPMC9223387

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.