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Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle
BACKGROUND: Meat quality is a complex trait affected by genotypic and environmental factors. In a previous study, it was found that feedstuffs have various effects on the growth rate and meat quality of lambs. However, the underlying mechanisms are still not entirely clear. RESULTS: In this study, t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513505/ https://www.ncbi.nlm.nih.gov/pubmed/32972369 http://dx.doi.org/10.1186/s12864-020-07048-1 |
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author | Wu, Jianghong Yang, Ding Gong, Husile Qi, Yunxia Sun, Hailian Liu, Yongbin Liu, Yahong Qiu, Xiao |
author_facet | Wu, Jianghong Yang, Ding Gong, Husile Qi, Yunxia Sun, Hailian Liu, Yongbin Liu, Yahong Qiu, Xiao |
author_sort | Wu, Jianghong |
collection | PubMed |
description | BACKGROUND: Meat quality is a complex trait affected by genotypic and environmental factors. In a previous study, it was found that feedstuffs have various effects on the growth rate and meat quality of lambs. However, the underlying mechanisms are still not entirely clear. RESULTS: In this study, to investigate the mechanisms that impact meat quality in twin sheep fed either with high fiber low protein (HFLP) forage (Ceratoides) or low fiber high protein (LFHP) forage (alfalfa) diets, multi omics techniques were utilized for integration analysis based on the feed nutritional value and the sheep microbiome, transcriptome, metabolome, and fatty acid profile. Results showed that the production performance and the muscle components of lambs were significantly affected by feeds. The essential fatty acid (linoleic acid and arachidonic acid) content of the muscle, based on gas chromatography-mass spectrometry analysis, was increased when lambs were fed with HFLP. The microbes in the lambs’ rumen fed a HFLP diet were more diverse than those of the LFHP fed group. Besides, the ratio of Bacteroidetes and Firmicutes in the rumen of the sheep fed a LFHP diet was 2.6 times higher than that of the HFLP fed group. Transcriptome analysis of the muscle revealed that the genes related to glucose metabolic processes and fatty acid biosynthesis were significantly differentially expressed between the two groups. Potential cross talk was found between the sfour omics data layers, which helps to understand the mechanism by which feedstuffs affect meat quality of lambs. CONCLUSION: Feed systems may affect the epigenetic regulation of genes involved in the glucose metabolic pathway. HFLP feeds could induce gluconeogenesis to maintain glucose levels in blood, resulting in decreased fat content in muscle. The multiple omics analysis showed that the microbiota structure is significantly correlated with the metabolome and gene expression in muscle. This study laid a theoretical foundation for controlling the nutrient intake of sheep; it suggested that its fatty acid spectrum modifications and the removal of meat quality detrimental material could guide sheep feeding for functional mutton. |
format | Online Article Text |
id | pubmed-7513505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75135052020-09-25 Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle Wu, Jianghong Yang, Ding Gong, Husile Qi, Yunxia Sun, Hailian Liu, Yongbin Liu, Yahong Qiu, Xiao BMC Genomics Research Article BACKGROUND: Meat quality is a complex trait affected by genotypic and environmental factors. In a previous study, it was found that feedstuffs have various effects on the growth rate and meat quality of lambs. However, the underlying mechanisms are still not entirely clear. RESULTS: In this study, to investigate the mechanisms that impact meat quality in twin sheep fed either with high fiber low protein (HFLP) forage (Ceratoides) or low fiber high protein (LFHP) forage (alfalfa) diets, multi omics techniques were utilized for integration analysis based on the feed nutritional value and the sheep microbiome, transcriptome, metabolome, and fatty acid profile. Results showed that the production performance and the muscle components of lambs were significantly affected by feeds. The essential fatty acid (linoleic acid and arachidonic acid) content of the muscle, based on gas chromatography-mass spectrometry analysis, was increased when lambs were fed with HFLP. The microbes in the lambs’ rumen fed a HFLP diet were more diverse than those of the LFHP fed group. Besides, the ratio of Bacteroidetes and Firmicutes in the rumen of the sheep fed a LFHP diet was 2.6 times higher than that of the HFLP fed group. Transcriptome analysis of the muscle revealed that the genes related to glucose metabolic processes and fatty acid biosynthesis were significantly differentially expressed between the two groups. Potential cross talk was found between the sfour omics data layers, which helps to understand the mechanism by which feedstuffs affect meat quality of lambs. CONCLUSION: Feed systems may affect the epigenetic regulation of genes involved in the glucose metabolic pathway. HFLP feeds could induce gluconeogenesis to maintain glucose levels in blood, resulting in decreased fat content in muscle. The multiple omics analysis showed that the microbiota structure is significantly correlated with the metabolome and gene expression in muscle. This study laid a theoretical foundation for controlling the nutrient intake of sheep; it suggested that its fatty acid spectrum modifications and the removal of meat quality detrimental material could guide sheep feeding for functional mutton. BioMed Central 2020-09-24 /pmc/articles/PMC7513505/ /pubmed/32972369 http://dx.doi.org/10.1186/s12864-020-07048-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wu, Jianghong Yang, Ding Gong, Husile Qi, Yunxia Sun, Hailian Liu, Yongbin Liu, Yahong Qiu, Xiao Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title | Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title_full | Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title_fullStr | Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title_full_unstemmed | Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title_short | Multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
title_sort | multiple omics analysis reveals that high fiber diets promote gluconeogenesis and inhibit glycolysis in muscle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513505/ https://www.ncbi.nlm.nih.gov/pubmed/32972369 http://dx.doi.org/10.1186/s12864-020-07048-1 |
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