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. 2024 Nov;103(11):104230.
doi: 10.1016/j.psj.2024.104230. Epub 2024 Aug 23.

Metabolomic profiles and compositional differences involved in flavor characteristics of raw breast meat from slow- and fast-growing chickens in Thailand

Affiliations

Metabolomic profiles and compositional differences involved in flavor characteristics of raw breast meat from slow- and fast-growing chickens in Thailand

Sylvia Indriani et al. Poult Sci. 2024 Nov.

Abstract

This study aimed to differentiate the flavor characteristics of raw chicken breast meat from Thai slow-growing breeds (NC: native chicken, and KC: Korat/crossbred chicken) and fast-growing broilers (BR: broiler chicken) by using NMR-based metabolomic approaches along with multivariate data analysis. Chemical compounds related to chicken's flavor including free amino acids (FAA), ATP and its related compounds, sugars, as well as volatile compounds (VOC), were also investigated. BR had the highest total FAAs, followed by NC and KC (P < 0.05). In contrast, the accumulations of ATP degradation products, particularly ADP and IMP, were found at higher levels in the NC and KC (P < 0.05), while the highest total reducing sugars were noted in the KC (P < 0.05). Most VOCs found in the fresh breasts were products from the degradation of lipids, especially through lipid oxidation, which was found in varied types and proportions among samples. Not only chemical compounds but varying amounts of metabolites among samples were also detected. Apart from 21 identified metabolites, Glu, Gln, and betaine were the most prevalent in all samples with VIP > 1.00. Among 19 metabolic pathways, the most important pathways (P-value < 0.05, FDR < 0.05, impact > 0.05) were discovered to differentiate the flavor of raw chicken breast meat from various breeds. These metabolic pathways included (1) Ala, Asp and Glu metabolism; (2) D-Gln and D-Glu metabolism; (3) Purine metabolism; (4) β-Ala metabolism; (5) Aminoacyl-tRNA biosynthesis; (6) Nicotinate and nicotinamide metabolism; (7) Pyrimidine metabolism. Interestingly, based on the principal component analysis plot and partial least square-discriminant analysis (R2 = 0.9804; Q2 = 0.9782), NC and KC were clustered in the same area and discriminated from BR, indicating their similar flavor characteristics and metabolic profiles. Therefore, the findings could comprehend and distinguish the flavor of chicken breast meat of slow- from fast-growing chicken breeds based on their chemical characteristics and metabolite profiles.

Keywords: chicken breed; flavor; meat quality; metabolite; metabolomic.

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Conflict of interest statement

DISCLOSURES The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Figure 1
Figure 1
PCA score plot (A) and correlation loading plot (PC1 vs. PC2) (B) at 54.34% total variance among compositions (P > 0.05; black letters, P < 0.05; red letters) related to flavor/taste of breast meat from various chicken breeds.
Figure 2
Figure 2
Representation of 500-MHz 1H-NMR spectrum (0.5–8.5 ppm) of breast meat from various chicken breeds (21 metabolites).
Figure 3
Figure 3
Partial least squares discriminant analysis (PLS-DA) score plot (R2 = 0.9804, Q2 = 0.9782) (A) and variable importance in projection (VIP) scores (B) of breast meat from various chicken breeds.
Figure 4
Figure 4
Pathways topology analysis. The color and size of each circle is based on the P-value and the pathways impact value, respectively. Pathways with a P-value < 0.05, FDR < 0.01, and an impact > 0.05 are labeled.

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