2021
DOI: 10.3390/metabo11110753
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Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle

Abstract: Metabolomics has been applied to measure the dynamic metabolic responses, to understand the systematic biological networks, to reveal the potential genetic architecture, etc., for human diseases and livestock traits. For example, the current published results include the detected relevant candidate metabolites, identified metabolic pathways, potential systematic networks, etc., for different cattle traits that can be applied for further metabolomic and integrated omics studies. Therefore, summarizing the appli… Show more

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Cited by 11 publications
(5 citation statements)
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References 121 publications
(127 reference statements)
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“…Omics, including genomics, transcriptomics, and other omics, are used to study the genome, transcriptome, and their objects, respectively [ 10 ]. In essence, the addition of "omics" to a molecular term implies a comprehensive or global assessment of a set of molecules [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…Omics, including genomics, transcriptomics, and other omics, are used to study the genome, transcriptome, and their objects, respectively [ 10 ]. In essence, the addition of "omics" to a molecular term implies a comprehensive or global assessment of a set of molecules [ 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, 152 genome‐wide significant SNPs associated with 17 metabolites in 59 Duroc and 49 Landrace pigs were discovered (Wang & Kadarmideen, 2020). A set of biomarkers, proteins and microbial communities functionally related to muscle growth and development were cataloged (Hao et al, 2021). Thus, during the functional annotation of the large numbers of genetic loci identified for muscle growth and development, multiple novel biological insights and molecular mechanisms could be gleaned.…”
Section: Identification Of Genetic Loci Associated With Muscle Traitsmentioning
confidence: 99%
“…Additionally, in mouse models, metabolomics revealed brain metabolites, which are suitable indicators for stress resilience and depression [121,122]. In cattle, metabolomics can help to understand biological networks and the genetic architecture for economically relevant traits, aiming to use integrated "omics" analyses to improve practical breeding programs [123]. Hence, the detection of brain metabolites should be pursued further to integrate such data in "multi-omics" genomic-transcriptomic-metabolomic analyses, to improve dairy cow behaviour (especially in AMSs).…”
Section: Molecular Biomarkersmentioning
confidence: 99%