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浙江大学学报（农业与生命科学版）
浙江大学学报(农业与生命科学版)  2013, Vol. 39 Issue (3): 237-245    DOI: 10.3785/j.issn.1008-9209.2012.10.151
生物科学与技术     
整合多个组学（omics）分析植物代谢产物及其功能
周国艳， 胡望雄， 徐建红*， 薛庆中*
（浙江大学农业与生物技术学院，浙江省种质资源重点实验室，杭州310058）
Integrating multiple “omics”  analysis for plant metabolites and their functions
ZHOU Guoyan,  HU Wangxiong,  XU Jianhong*, XUE Qingzhong*
(Zhejiang Key Laboratory of Crop Germplasm, College of Agriculture and Biotechnology,Zhejiang University, Hangzhou 310058, China)
 全文: PDF(1124 KB)   HTML ( ) 
摘要： 对生物体在体内生命过程中产生的一系列代谢产物做全面分析将有助于揭示生物基因型和表型之间的联系。代谢组学是应用“组学”，包括基因组学、转录组学和蛋白质组学，综合分析代谢产物的方法；通过使用先进的分析技术结合应用新一代测序和统计学方法来提取信息，对数据诠释，实现细胞代谢物识别和量化，从而理解生物体对环境刺激或基因干扰的生物学反应。今简介代谢组学的数据库资源及研究方法，并以最近3～5年的应用实例来诠释植物代谢组学最新进展,包括植物在非生物胁迫下的响应及代谢谱的变化，诱发突变和转基因事件对代谢谱的影响，代谢产物的鉴定及其进化。
Abstract: A comprehensive analysis of a series of metabolites that produced by the organisms in the life processes will help to reveal the biological links between genotype and phenotype. Metabolomics is the method to analyze the metabolites by “omics”, which includes genomics, transcriptomics, and proteomics. To understand the biological response of plants to environmental stimuli or genetic interference, the application of the advanced analytical techniques combined with subsequent generation sequencing and the statistical methods were made for the extraction of information, data interpretation, identification and quantification of cellular metabolites. With the accumulation of high-throughput sequence information, emerged newly metabolomics database can be used not only to store, manage and analyze metabolomics data, but also to provide the chemical structure, physical and chemical properties and pharmacological properties, spectroscopy, experimental process, as well as to interpret the biological function of the metabolites. This paper described briefly several rather special metabolomics database resources (such as KEGG, METLIN, TOMATOMA, ReSpect, ECOMICS, PRIMe). Today, the effect of abiotic stress on plant metabolic spectrum is a focal point of metabolomics research. We reviewed the latest progress on plant responses to multiple environmental stresses such as hypoxia, UV-B radiation, high temperature, strong freezing, light and temperature environment, drought, and lack of sulfur and nitrogen. Future research will be mainly focus on the “key” variable site that decides the single biosynthetic step. This strategy can be used to identify genes and specific ways of crops and medicinal plants. Effects of mutations and transgenic event on plant metabolites have been attracted extensive attention. Glucosinolate (GSL) metabolic pathways provide a useful model system for the research of genome structure of the quantitative characters, while the genome-wide association studies (GWAS) fast become the preferred method for analyzing complex quantitative traits. Transgenic plant overexpressing will lead to the alteration of metabolites and proteins that could help to enhance the multiple stress tolerances. However, the safety assessment of genetically modified crops for food will still be questioned. Instead of relying only on a single analytical technique, identification of the metabolites needs  integrating multiple “omics”. In the long-term evolutionary process, the plants will synthesize new metabolites due to the mutation from the metabolic pathways of the plants. The previous study showed genes that encoded the biosynthetic enzymes in plant metabolic pathways were  co-regulated through the transcription factors. Thus, the chemical diversity of the plants is closely related to evolution of the transcription factors.
A comprehensive analysis of a series of metabolites that produced by the organisms in the life processes will help to reveal the biological links between genotype and phenotype. Metabolomics is the method to analyze the metabolites by ‘omics’, which includes genomics, transcriptomics, and proteomics. To understand the biological response of plants to environmental stimuli or genetic interference, the application of the advanced analytical techniques combined with next generation sequencing and the statistical methods were made for the extraction of information, data interpretation, identification and quantification of cellular metabolites. With the accumulation of high-throughput sequence information, emerged newly metabolomics database can be used not only to store, manage and analyze metabolomics data, but also to provide the chemical structure, physical and chemical properties and pharmacological properties, spectroscopy, experimental process, as well as to interpret the biological function of the metabolites. This paper describes briefly a few rather special metabolomics database resources (such as KEGG, METLIN, TOMATOMA, ReSpect, ECOMICS, PRIMe). Today, the effect of abiotic stress on plant metabolic spectrum is a focal point of metabolomics research. We reviewed the latest progress on plant responses to multiple environmental stresses such as hypoxia, UV-B radiation, high temperature, strong freezing, light and temperature environment, drought, and lack of sulfur and nitrogen. Future research will mainly focus on the “key” variable site that decides the single biosynthetic step. This strategy can be used to identify genes and specific ways of crops and medicinal plants. Effects of mutations and transgenic event on the plant metabolites have been attracted extensive attention. Glucosinolate (GSL) metabolic pathways provide a useful model system for the research of genome structure of the quantitative characters, while the genome-wide association studies (GWAS) fast become the preferred method for analyzing complex quantitative traits. Transgenic plant overexpressing will lead to the alteration of metabolites and proteins that could help to enhance the multiple stress tolerances. However, the safety assessment of genetically modified crops for food will still be questioned. Instead of relying only on a single analytical technique, identification of the metabolites needs of integrating multiple ‘omics’. In the long-term evolutionary process, the plants will synthesize new metabolites, which is due to the mutation from the metabolic pathways of the plants. The previous study showed genes that encode the biosynthetic enzymes in plant metabolic pathways are co-regulated through the transcription factors. Thus, the chemical diversity of the plants is closely related to evolution of the transcription factors.
出版日期: 2013-05-20
CLC:  Q 756  
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周国艳
胡望雄
徐建红*
薛庆中*

引用本文:

周国艳， 胡望雄， 徐建红*， 薛庆中*. 整合多个组学（omics）分析植物代谢产物及其功能[J]. 浙江大学学报(农业与生命科学版), 2013, 39(3): 237-245.

ZHOU Guoyan, HU Wangxiong, XU Jianhong*, XUE Qingzhong*. Integrating multiple “omics”  analysis for plant metabolites and their functions. Journal of Zhejiang University (Agriculture and Life Sciences), 2013, 39(3): 237-245.

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http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2012.10.151    或    http://www.zjujournals.com/agr/CN/Y2013/V39/I3/237

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