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L'étude du profil protéique et de la qualité de la viande dans le Longissimus thoracis bovin congelé à différentes températures par la stratégie d'acquisition indépendante des données (DIA).

The Investigation of Protein Profile and Meat Quality in Bovine Longissimus thoracic Frozen under Different Temperatures by Data-Independent Acquisition (DIA) Strategy.

Auteurs : LI X., QIAN S., HUANG F., LI K., SONG Y., LIU J., GUO Y., ZHANG C., BLECKER C.

Type d'article : Article de périodique

Résumé

The influence of freezing on the protein profile and quality traits in bovine Longissimus thoracic (LT) muscle was investigated by the data-independent acquisition (DIA) technique. Compared to fresh meat, a total of 262 proteins were identified as differential abundance proteins (DAPs) in four frozen groups (−12 °C, −18 °C, −38 °C, and −80 °C). According to the bioinformatics analysis, most of the DAPs in the significant Go terms and the KEGG pathway were structure proteins and enzymes. Proteome changes in the frozen bovine muscle at −12 °C and −18 °C were more significant than those at −38 °C and −80 °C. The result was consistent with the deterioration trend of the meat quality. The correlation analysis revealed that 17 proteins were correlated closely with the color, shear force, thawing loss, and cooking loss of the frozen meat, which could be used as putative biomarkers for frozen meat quality. MYO18A and ME3 are newly discovered proteins that are associated with frozen beef quality. In addition, CTTN and SERPINB6 were identified in frozen groups, which exhibited a significant inverse correlation with thawing loss (p < 0.01). These findings reveal the quality changes induced by freezing at the protein molecular level and provide new insights into the control of quality deterioration.

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Pages : 18 p.

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  • Titre original : The Investigation of Protein Profile and Meat Quality in Bovine Longissimus thoracic Frozen under Different Temperatures by Data-Independent Acquisition (DIA) Strategy.
  • Identifiant de la fiche : 30030386
  • Langues : Anglais
  • Sujet : Technologie
  • Source : Foods - 11 - 12
  • Éditeurs : MDPI
  • Date d'édition : 06/2022
  • DOI : http://dx.doi.org/10.3390/foods11121791

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