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Overview of metabolomic analysis and the integration with multi-omics for economic traits in cattle

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DOI

  • Dan Hao, Beijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd, Shijiazhuang Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Shijiazhuang 052463, China
  • ,
  • Jiangsong Bai, Ltd., China Agricultural University
  • ,
  • Jianyong Du, Ltd., China Agricultural University
  • ,
  • Xiaoping Wu, Ltd.
  • ,
  • Bo Thomsen
  • Hongding Gao
  • ,
  • Guosheng Su
  • Xiao Wang, Konge Larsen ApS

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.

Original languageEnglish
Article number753
JournalMetabolites
Volume11
Issue11
ISSN2218-1989
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

    Research areas

  • Cattle, Economic trait, Integrated analysis, Metabolomics, Multi-omics, Review

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