Literature DB >> 32431297

Metabolomics technology and its applications in agricultural animal and plant research.

Jing Tian1,2, Yu Zhe Wang1,2,3, Shi Xiong Yan4, Shuai Sun4, Jun Jing Jia4, Xiao Xiang Hu1,2.   

Abstract

Metabolomics is a discipline that uses Chromatography-Mass Spectrometry and Nuclear Magnetic Resonance techniques to identify and quantify all small molecule metabolites in living organisms and biological samples, which relies on sensitive, stable analytical procedures and improving databases. Metabolomics has been widely used in medicine, food science, crop and farm animal research, and other fields. Metabolomics can establish a more direct relationship between changes in the type and content of metabolites and phenotypes. Metabolomics has gradually become a new research method for the analysis of genetic mechanisms of complex traits following genomics, transcriptomics, and proteomics with the advances in omics technology. In this review, we firstly introduce common analytical strategies, metabolomics platforms, and metabolomics databases. Then, we review the application of metabolomics in metabolic molecular identification of important economic traits in agricultural animals, disease diagnosis, meat quality and safety detection of animal products. We also introduce the latest achievements in the development, formation and analysis of important traits of animals and plants by using metabolomics, transcriptome, and genomics. Overall, the integrated analysis of metabolomics and other omics can comprehensively explain the genetic mechanism of all kinds of complex traits and help to improve the complete biological process of "mutation-gene-expression-metabolism-phenotype". Metabolomics provides a new method for the mechanism analysis of complex characters and a novel idea for new agricultural breeding.

Keywords:  agricultural animal; metabolome detection platform; metabolomics; multi-omics association analysis; widely targeted metabolomics

Year:  2020        PMID: 32431297     DOI: 10.16288/j.yczz.19-287

Source DB:  PubMed          Journal:  Yi Chuan        ISSN: 0253-9772


  2 in total

1.  Selection of the Reference Gene for Expression Normalization in Salsola ferganica under Abiotic Stress.

Authors:  Shuran Wang; Sheng Zhang
Journal:  Genes (Basel)       Date:  2022-03-24       Impact factor: 4.141

2.  Gut microbiota may be involved in Alzheimer's disease pathology by dysregulating pyrimidine metabolism in APP/PS1 mice.

Authors:  Min Feng; Tianshu Hou; Mingze Zhou; Qiuyu Cen; Ting Yi; Jinfeng Bai; Yun Zeng; Qi Liu; Chengshun Zhang; Yingjun Zhang
Journal:  Front Aging Neurosci       Date:  2022-08-03       Impact factor: 5.702

  2 in total

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