Muscle Protein Profiles Used for Prediction of Texture of Farmed Salmon (Salmo salar L.)

Gine Ørnholt Johansson, Stina Frosch, María Gudjónsdóttir, Tune Wulff, Flemming Jessen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A soft texture is undesired in Atlantic salmon as it leads to downgrading and reduced yield, yet it is a factor for which the cause is not fully understood. This lack of understanding highlights the need for identifying the cause of the soft texture and developing solutions by which the processing industry can improve the yield. Changes in muscle protein profiles can occur both pre- and postharvest and constitute an overall characterization of the muscle properties including texture. The aim of this study was to investigate this relationship between specific muscle proteins and the texture of the salmon fillet. Samples for 2D-gel-based proteomics were taken from the fillet above the lateral line at the same position as where the texture had been measured. The resulting protein profiles were analyzed using multivariate data analysis. Sixteen proteins were found to correlate to the measured texture, showing that it is possible to predict peak force based on a small subset of proteins. Additionally, eight of the 16 proteins were identified by tandem mass spectrometry including serum albumin, dipeptidyl peptidase 3, heat shock protein 70, annexins, and a protein presumed to be a titin fragment. It is contemplated that the identification of these proteins and their significance for the measured texture will contribute to further understanding of the Atlantic salmon muscle texture.
Original languageEnglish
JournalJournal of Agricultural and Food Chemistry
Volume65
Issue number16
Pages (from-to)3413-3421
Number of pages9
ISSN0021-8561
DOIs
Publication statusPublished - 2017

Keywords

  • Biological Materials
  • Biology
  • Chemistry
  • Organic Compounds
  • Statistical Methods
  • Optical Variables Measurements
  • PLS
  • prediction model
  • proteome
  • Salmo salar
  • tandem mass spectrometry
  • texture
  • two-dimensional electrophoresis (2DE)
  • Electrophoresis
  • Forecasting
  • Mass spectrometry
  • Molecular biology
  • Multivariant analysis
  • Muscle
  • Spectrometry
  • Textures
  • Developing solutions
  • Dipeptidyl peptidase
  • Heat shock protein 70
  • Multivariate data analysis
  • Prediction model
  • Tandem mass spectrometry
  • Two-dimensional electrophoresis (2DE)
  • Proteins

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