文献类型： 外文期刊
作者： Li, Jing 1 ; Yan, Guohua 2 ; Duan, Xuwei 2 ; Zhang, Kaichun 2 ; Zhang, Xiaoming 2 ; Zhou, Yu 2 ; Wu, Chuanbao 2 ; Zhang, Xin 2 ; Tan, Shengnan 1 ; Hua, Xin 1 ; Wang, Jing 2 ;
作者机构： 1.Northeast Forestry Univ, Key Lab Saline Alkali Vegetat Ecol Restorat, Minist Educ, Harbin, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Inst Forestry & Pomol, Beijing, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Biol & Genet Improvement Hort Crops North, Beijing, Peoples R China
4.Beijing Engn Res Ctr Deciduous Fruit Trees, Beijing, Peoples R China
5.Northeast Forestry Univ, Anal & Test Ctr, Harbin, Peoples R China
关键词： fruit tree; metabolomics; quality; resistance; mQTL; mGWAS
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：6.627； 五年影响因子：7.255 ）
ISSN： 1664-462X
年卷期： 2022 年 13 卷
页码：
收录情况： SCI
摘要： 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.
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