2022
DOI: 10.3390/metabo12030225
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Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research

Abstract: Due to their unique multi-gastric digestion system highly adapted for rumination, dairy livestock has complicated physiology different from monogastric animals. However, the microbiome-based mechanism of the digestion system is congenial for biology approaches. Different omics and their integration have been widely applied in the dairy sciences since the previous decade for investigating their physiology, pathology, and the development of feed and management protocols. The rumen microbiome can digest dietary c… Show more

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Cited by 7 publications
(4 citation statements)
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References 131 publications
(144 reference statements)
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“…Omics technology such as transcriptomics, lipidomics, proteomics, and metabolomics gives an insight into how genes collectively work for a specific biological function (Zhu et al, 2022). Using this approach, we can get a broader picture of how metabolic and inflammatory adaptations in the transition period affect the oocyte and embryo in its environment.…”
Section: Limitati On S and Future Per S Pec Tive Smentioning
confidence: 99%
“…Omics technology such as transcriptomics, lipidomics, proteomics, and metabolomics gives an insight into how genes collectively work for a specific biological function (Zhu et al, 2022). Using this approach, we can get a broader picture of how metabolic and inflammatory adaptations in the transition period affect the oocyte and embryo in its environment.…”
Section: Limitati On S and Future Per S Pec Tive Smentioning
confidence: 99%
“…Hence, these microbes secrete metabolites, neurotransmitters, through the gutbrain axis and may regulate the release of cytokines and chemokines, which is activated by the HPA axis under heat stress conditions [9,44]. The association between metabolites, genes, and microorganisms has been studied to discover interactive relationships at a wide level, and determining their relationships could possibly contribute to understanding interactive mechanisms at the metabolome, transcriptome, and microbiome levels [45][46][47][48][49]. The objective of this study was to investigate the biological changes induced by interactive relationships among metabolites, differentially expressed genes (DEGs) and abundant microbes under heat stress conditions in dairy cattle.…”
Section: Introductionmentioning
confidence: 99%
“…Metabolites, particularly of amino acids or their derivatives, including creatine, methionine, choro-lysine, and urea, have been reported to be associated with RFI phenotypes in several studies [3,12,13]. These earlier studies were focused on identifying the differentially abundant metabolites in beef cattle with divergent RFI values and consequently identifying potential biomarkers for RFI without exploring further mathematical modeling techniques capable of confirming the predictive capabilities of these blood-based signatures [14][15][16][17]. This highlights the importance of appropriate screening by combining metabolomics approaches and other analytical techniques in elucidating and identifying blood markers.…”
Section: Introductionmentioning
confidence: 99%