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药用植物中次生代谢的多组学综合分析。

Integrated omics analysis of specialized metabolism in medicinal plants.

作者信息

Rai Amit, Saito Kazuki, Yamazaki Mami

机构信息

Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.

RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, 230-0045, Japan.

出版信息

Plant J. 2017 May;90(4):764-787. doi: 10.1111/tpj.13485. Epub 2017 Mar 30.

Abstract

Medicinal plants are a rich source of highly diverse specialized metabolites with important pharmacological properties. Until recently, plant biologists were limited in their ability to explore the biosynthetic pathways of these metabolites, mainly due to the scarcity of plant genomics resources. However, recent advances in high-throughput large-scale analytical methods have enabled plant biologists to discover biosynthetic pathways for important plant-based medicinal metabolites. The reduced cost of generating omics datasets and the development of computational tools for their analysis and integration have led to the elucidation of biosynthetic pathways of several bioactive metabolites of plant origin. These discoveries have inspired synthetic biology approaches to develop microbial systems to produce bioactive metabolites originating from plants, an alternative sustainable source of medicinally important chemicals. Since the demand for medicinal compounds are increasing with the world's population, understanding the complete biosynthesis of specialized metabolites becomes important to identify or develop reliable sources in the future. Here, we review the contributions of major omics approaches and their integration to our understanding of the biosynthetic pathways of bioactive metabolites. We briefly discuss different approaches for integrating omics datasets to extract biologically relevant knowledge and the application of omics datasets in the construction and reconstruction of metabolic models.

摘要

药用植物是具有重要药理特性的高度多样化的特殊代谢产物的丰富来源。直到最近,植物生物学家探索这些代谢产物生物合成途径的能力仍受到限制,主要原因是植物基因组学资源匮乏。然而,高通量大规模分析方法的最新进展使植物生物学家能够发现重要的基于植物的药用代谢产物的生物合成途径。生成组学数据集成本的降低以及用于其分析和整合的计算工具的开发,已导致对几种植物源生物活性代谢产物生物合成途径的阐明。这些发现激发了合成生物学方法来开发微生物系统,以生产源自植物的生物活性代谢产物,这是药用重要化学品的一种替代可持续来源。由于随着世界人口增长对药用化合物的需求不断增加,了解特殊代谢产物的完整生物合成对于未来识别或开发可靠来源变得很重要。在这里,我们综述了主要组学方法及其整合对我们理解生物活性代谢产物生物合成途径的贡献。我们简要讨论整合组学数据集以提取生物学相关知识的不同方法以及组学数据集在代谢模型构建和重建中的应用。

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