Characterization of Mutton Volatile Compounds in Youzhou Dark Goats and Local White Goats Using Flavoromics, Metabolomics, and Transcriptomics

Native goat breeds in China are highly valued for their distinctive flavor. This study integrated flavoromics, metabolomics, and transcriptomics to analyze the flavor compounds in the meat of Youzhou Dark (WY) and Local White (BY) goats. Ten 12-month-old castrated male WY and BY goats, five each, were selected for slaughter after undergoing the same feeding and management conditions. <i>Longissimus dorsi</i> muscle were collected from each group and subjected to flavoromics, metabolomics, and transcriptomics analyses. Flavoromics identified 228 volatile compounds, of which alcohols, ketones, and esters were the most prominent. Using multivariate statistical analysis and variable importance on projection (VIP) methods, 85 differential flavor compounds between WY and BY goats were identified. The key characteristic compounds, heptanal,1-octen-3-one,2,3-butanedione, 2-methyl-butanal, and 2-pentyl-furan, effectively distinguished between the volatile profiles of the two goat breeds. Untargeted metabolomics identified a total of 47 differential metabolites with significant differences between WY and BY goats. Differences in flavor compounds between the two goat breeds were linked to the expression of genes in metabolic pathways. The genes involved in tyrosine and phenylalanine metabolism were different in the two groups of goat meat. This variation may contribute to the differences in the sensory flavor profiles of WY and BY goats. Overall, these findings provide insight into the molecular mechanisms of flavor formation in native Chinese goats and offer a foundation for improving meat quality.

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Publication Details

Journal
Foods
Published
2025-12-01
DOI
https://doi.org/10.3390/foods14234114
Citations
1
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
1.19
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article

Characterization of Mutton Volatile Compounds in Youzhou Dark Goats and Local White Goats Using Flavoromics, Metabolomics, and Transcriptomics

XY SUN, Hangxing Ren, Cancan Chen, Gaofu Wang et al.
1 citations
Foods
Meat and Animal Product Quality
1.19
article

Characterization of Mutton Volatile Compounds in Youzhou Dark Goats and Local White Goats Using Flavoromics, Metabolomics, and Transcriptomics

XY SUN, Hangxing Ren, Cancan Chen, Gaofu Wang, Jie Li, Jing Jiang, Shipeng Lv
article en
1 citations

Abstract

Native goat breeds in China are highly valued for their distinctive flavor. This study integrated flavoromics, metabolomics, and transcriptomics to analyze the flavor compounds in the meat of Youzhou Dark (WY) and Local White (BY) goats. Ten 12-month-old castrated male WY and BY goats, five each, were selected for slaughter after undergoing the same feeding and management conditions. <i>Longissimus dorsi</i> muscle were collected from each group and subjected to flavoromics, metabolomics, and transcriptomics analyses. Flavoromics identified 228 volatile compounds, of which alcohols, ketones, and esters were the most prominent. Using multivariate statistical analysis and variable importance on projection (VIP) methods, 85 differential flavor compounds between WY and BY goats were identified. The key characteristic compounds, heptanal,1-octen-3-one,2,3-butanedione, 2-methyl-butanal, and 2-pentyl-furan, effectively distinguished between the volatile profiles of the two goat breeds. Untargeted metabolomics identified a total of 47 differential metabolites with significant differences between WY and BY goats. Differences in flavor compounds between the two goat breeds were linked to the expression of genes in metabolic pathways. The genes involved in tyrosine and phenylalanine metabolism were different in the two groups of goat meat. This variation may contribute to the differences in the sensory flavor profiles of WY and BY goats. Overall, these findings provide insight into the molecular mechanisms of flavor formation in native Chinese goats and offer a foundation for improving meat quality.

FoodsVol. 14(23)
Chongqing Academy of Animal Science (CN)
Openalex Percentile: Top 17%
Meat and Animal Product Quality
1.19
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