Research Progress and Trends in Metabolomics of Fruit Trees

Front Plant Sci. 2022 Apr 29:13:881856. doi: 10.3389/fpls.2022.881856. eCollection 2022.

Abstract

Metabolomics is an indispensable part of modern systems biotechnology, applied in the diseases' diagnosis, pharmacological mechanism, and quality monitoring of crops, vegetables, fruits, etc. Metabolomics of fruit trees has developed rapidly in recent years, and many important research results have been achieved in combination with transcriptomics, genomics, proteomics, quantitative trait locus (QTL), and genome-wide association study (GWAS). These research results mainly focus on the mechanism of fruit quality formation, metabolite markers of special quality or physiological period, the mechanism of fruit tree's response to biotic/abiotic stress and environment, and the genetics mechanism of fruit trait. According to different experimental purposes, different metabolomic strategies could be selected, such as targeted metabolomics, non-targeted metabolomics, pseudo-targeted metabolomics, and widely targeted metabolomics. This article presents metabolomics strategies, key techniques in metabolomics, main applications in fruit trees, and prospects for the future. With the improvement of instruments, analysis platforms, and metabolite databases and decrease in the cost of the experiment, metabolomics will prompt the fruit tree research to achieve more breakthrough results.

Keywords: fruit tree; mGWAS; mQTL; metabolomics; quality; resistance.

Publication types

  • Review

Grants and funding

This study was supported by the Promotion and Innovation of Beijing Academy of Agriculture and Forestry Sciences (KJCX201910), the technological innovation ability project of Beijing Academy of Agriculture and Forestry Sciences (KJCX20210403), Heilongjiang Touyan Innovation Team Program (Tree Genetics and Breeding Innovation Team), the National Natural Science Foundation of China (32072536), and National Key R&D Program of China from the Ministry of Science and Technology of China (Grant No. 2019YFC1711100), Youth Research Fund of the Beijing Academy of Forestry and Fruit Sciences (LGYJJ202006 and LGYJJ202005).