Serum and Muscle Metabolomics for the Prediction of Ultimate pH, a Key Factor for Chicken-Meat Quality - Archive ouverte HAL Access content directly
Journal Articles Journal of Proteome Research Year : 2016

Serum and Muscle Metabolomics for the Prediction of Ultimate pH, a Key Factor for Chicken-Meat Quality

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Lydie Nadal-Desbarats
  • Function : Author
  • PersonId : 920211
  • IdRef : 196222044
Anne Collin
Sophie Tesseraud
Marie Bourin
  • Function : Author
Elisabeth Le Bihan-Duval
Cécile Berri
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Abstract

Variations in muscle glycogen storage are highly correlated with variations in meat ultimate pH (pHu), a key factor for poultry meat quality. A total of two chicken lines were divergently selected on breast pHu to understand the biological basis for variations in meat quality (i.e., the pHu– and the pHu+ lines that are characterized by a 17% difference in muscle glycogen content). The effects of this selection on bird metabolism were investigated by quantifying muscle metabolites by high-resolution NMR (1H and 31P) and serum metabolites by 1H NMR. A total of 20 and 26 discriminating metabolites between the two lines were identified by orthogonal partial least-squares discriminant analysis (OPLS-DA) in the serum and muscle, respectively. There was over-representation of carbohydrate metabolites in the serum and muscle of the pHu– line, consistent with its high level of muscle glycogen. However, the pHu+ line was characterized by markers of oxidative stress and muscle catabolism, probably because of its low level of energy substrates. After OPLS-DA multiblock analysis, a metabolic set of 15 high-confidence biomarkers was identified that could be used to predict the quality of poultry meat after validation on an independent population.
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hal-02639588 , version 1 (28-05-2020)

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Stéphane Beauclercq, Lydie Nadal-Desbarats, Christelle Hennequet-Antier, Anne Collin, Sophie Tesseraud, et al.. Serum and Muscle Metabolomics for the Prediction of Ultimate pH, a Key Factor for Chicken-Meat Quality. Journal of Proteome Research, 2016, 15 (4), pp.1168-1178. ⟨10.1021/acs.jproteome.5b01050⟩. ⟨hal-02639588⟩
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