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Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes

The purpose of this study was to investigate the meat metabolite profiles related to differences in beef quality attributes (i.e., high-marbled and low-marbled groups) using nuclear magnetic resonance (NMR) spectroscopy. The beef of different marbling scores showed significant differences in water c...

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Autores principales: Jeong, Jin Young, Kim, Minseok, Ji, Sang-Yun, Baek, Youl-Chang, Lee, Seul, Oh, Young Kyun, Reddy, Kondreddy Eswar, Seo, Hyun-Woo, Cho, Soohyun, Lee, Hyun-Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Food Science of Animal Resources 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713764/
https://www.ncbi.nlm.nih.gov/pubmed/33305277
http://dx.doi.org/10.5851/kosfa.2020.e59
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author Jeong, Jin Young
Kim, Minseok
Ji, Sang-Yun
Baek, Youl-Chang
Lee, Seul
Oh, Young Kyun
Reddy, Kondreddy Eswar
Seo, Hyun-Woo
Cho, Soohyun
Lee, Hyun-Jeong
author_facet Jeong, Jin Young
Kim, Minseok
Ji, Sang-Yun
Baek, Youl-Chang
Lee, Seul
Oh, Young Kyun
Reddy, Kondreddy Eswar
Seo, Hyun-Woo
Cho, Soohyun
Lee, Hyun-Jeong
author_sort Jeong, Jin Young
collection PubMed
description The purpose of this study was to investigate the meat metabolite profiles related to differences in beef quality attributes (i.e., high-marbled and low-marbled groups) using nuclear magnetic resonance (NMR) spectroscopy. The beef of different marbling scores showed significant differences in water content and fat content. High-marbled meat had mainly higher taste compounds than low-marbled meat. Metabolite analysis showed differences between two marbling groups based on partial least square discriminant analysis (PLS-DA). Metabolites identified by PLS-DA, such as N,N-dimethylglycine, creatine, lactate, carnosine, carnitine, sn-glycero-3-phosphocholine, betaine, glycine, glucose, alanine, tryptophan, methionine, taurine, tyrosine, could be directly linked to marbling groups. Metabolites from variable importance in projection plots were identified and estimated high sensitivity as candidate markers for beef quality attributes. These potential markers were involved in beef taste-related pathways including carbohydrate and amino acid metabolism. Among these metabolites, carnosine, creatine, glucose, and lactate had significantly higher in high-marbled meat compared to low-marbled meat (p<0.05). Therefore, these results will provide an important understanding of the roles of taste-related metabolites in beef quality attributes. Our findings suggest that metabolomics analysis of taste compounds and meat quality may be a powerful method for the discovery of novel biomarkers underlying the quality of beef products.
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spelling pubmed-77137642020-12-09 Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes Jeong, Jin Young Kim, Minseok Ji, Sang-Yun Baek, Youl-Chang Lee, Seul Oh, Young Kyun Reddy, Kondreddy Eswar Seo, Hyun-Woo Cho, Soohyun Lee, Hyun-Jeong Food Sci Anim Resour Article The purpose of this study was to investigate the meat metabolite profiles related to differences in beef quality attributes (i.e., high-marbled and low-marbled groups) using nuclear magnetic resonance (NMR) spectroscopy. The beef of different marbling scores showed significant differences in water content and fat content. High-marbled meat had mainly higher taste compounds than low-marbled meat. Metabolite analysis showed differences between two marbling groups based on partial least square discriminant analysis (PLS-DA). Metabolites identified by PLS-DA, such as N,N-dimethylglycine, creatine, lactate, carnosine, carnitine, sn-glycero-3-phosphocholine, betaine, glycine, glucose, alanine, tryptophan, methionine, taurine, tyrosine, could be directly linked to marbling groups. Metabolites from variable importance in projection plots were identified and estimated high sensitivity as candidate markers for beef quality attributes. These potential markers were involved in beef taste-related pathways including carbohydrate and amino acid metabolism. Among these metabolites, carnosine, creatine, glucose, and lactate had significantly higher in high-marbled meat compared to low-marbled meat (p<0.05). Therefore, these results will provide an important understanding of the roles of taste-related metabolites in beef quality attributes. Our findings suggest that metabolomics analysis of taste compounds and meat quality may be a powerful method for the discovery of novel biomarkers underlying the quality of beef products. Korean Society for Food Science of Animal Resources 2020-11 2020-11-01 /pmc/articles/PMC7713764/ /pubmed/33305277 http://dx.doi.org/10.5851/kosfa.2020.e59 Text en © Korean Society for Food Science of Animal Resources http://creativecommons.org/licenses/by-nc/3.0/ This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Jeong, Jin Young
Kim, Minseok
Ji, Sang-Yun
Baek, Youl-Chang
Lee, Seul
Oh, Young Kyun
Reddy, Kondreddy Eswar
Seo, Hyun-Woo
Cho, Soohyun
Lee, Hyun-Jeong
Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title_full Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title_fullStr Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title_full_unstemmed Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title_short Metabolomics Analysis of the Beef Samples with Different Meat Qualities and Tastes
title_sort metabolomics analysis of the beef samples with different meat qualities and tastes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713764/
https://www.ncbi.nlm.nih.gov/pubmed/33305277
http://dx.doi.org/10.5851/kosfa.2020.e59
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