Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle

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...

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Autores principales:	Dan Hao, Jiangsong Bai, Jianyong Du, Xiaoping Wu, Bo Thomsen, Hongding Gao, Guosheng Su, Xiao Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cattle metabolomics multi-omics integrated analysis economic trait review Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/0f84621cf3ba4477a18deab78e63a300
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spelling	oai:doaj.org-article:0f84621cf3ba4477a18deab78e63a3002021-11-25T18:20:40ZOverview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle10.3390/metabo111107532218-1989https://doaj.org/article/0f84621cf3ba4477a18deab78e63a3002021-10-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/753https://doaj.org/toc/2218-1989Metabolomics 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 applications of metabolomics for economic traits is required in cattle. We here provide a comprehensive review about metabolomic analysis and its integration with other omics in five aspects: (1) characterization of the metabolomic profile of cattle; (2) metabolomic applications in cattle; (3) integrated metabolomic analysis with other omics; (4) methods and tools in metabolomic analysis; and (5) further potentialities. The review aims to investigate the existing metabolomic studies by highlighting the results in cattle, integrated with other omics studies, to understand the metabolic mechanisms underlying the economic traits and to provide useful information for further research and practical breeding programs in cattle.Dan HaoJiangsong BaiJianyong DuXiaoping WuBo ThomsenHongding GaoGuosheng SuXiao WangMDPI AGarticlecattlemetabolomicsmulti-omicsintegrated analysiseconomic traitreviewMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 753, p 753 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cattle metabolomics multi-omics integrated analysis economic trait review Microbiology QR1-502
spellingShingle	cattle metabolomics multi-omics integrated analysis economic trait review Microbiology QR1-502 Dan Hao Jiangsong Bai Jianyong Du Xiaoping Wu Bo Thomsen Hongding Gao Guosheng Su Xiao Wang Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
description	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 applications of metabolomics for economic traits is required in cattle. We here provide a comprehensive review about metabolomic analysis and its integration with other omics in five aspects: (1) characterization of the metabolomic profile of cattle; (2) metabolomic applications in cattle; (3) integrated metabolomic analysis with other omics; (4) methods and tools in metabolomic analysis; and (5) further potentialities. The review aims to investigate the existing metabolomic studies by highlighting the results in cattle, integrated with other omics studies, to understand the metabolic mechanisms underlying the economic traits and to provide useful information for further research and practical breeding programs in cattle.
format	article
author	Dan Hao Jiangsong Bai Jianyong Du Xiaoping Wu Bo Thomsen Hongding Gao Guosheng Su Xiao Wang
author_facet	Dan Hao Jiangsong Bai Jianyong Du Xiaoping Wu Bo Thomsen Hongding Gao Guosheng Su Xiao Wang
author_sort	Dan Hao
title	Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
title_short	Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
title_full	Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
title_fullStr	Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
title_full_unstemmed	Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle
title_sort	overview of metabolomic analysis and the integration with multi-omics for economic traits in cattle
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0f84621cf3ba4477a18deab78e63a300
work_keys_str_mv	AT danhao overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT jiangsongbai overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT jianyongdu overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT xiaopingwu overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT bothomsen overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT hongdinggao overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT guoshengsu overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle AT xiaowang overviewofmetabolomicanalysisandtheintegrationwithmultiomicsforeconomictraitsincattle
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Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle

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