From single- to multi-omics: future research trends in medicinal plants.
From single- to multi-omics: future research trends in medicinal plants.
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DOI：
10.1093/bib/bbac485
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发表时间：
2023-01-19
影响因子：
9.5
通讯作者：
中科院分区：
文献类型：
--
作者：
药用植物是天然代谢产物的主要来源，具有特殊的药理活性，已被植物研究人员广泛研究。人们对药用植物进行了大量的组学研究，以确定物种的分子标记和控制关键生物学性状的功能基因，并了解生物活性代谢物的生物合成途径和环境响应的调节机制。组学技术已广泛应用于药用植物，包括分类学、转录组学、代谢组学、蛋白质组学、基因组学、泛基因组学、表观基因组学和诱变基因组学。然而，由于复杂的生物调控网络，单一的组学往往不能解释特定的生物现象。近年来，关于药用植物综合多组学研究的报道有所增加。到目前为止，很少有人对药用植物组学研究的最新发展和即将到来的趋势进行评估。我们重点介绍了药用植物组学研究的最新进展，总结了可用于分析组学数据集的典型生物信息学资源，并讨论了相关的未来方向和挑战。这些信息促进了对药用植物的进一步研究，改进了现有的方法，并导致了新的想法。
Medicinal plants are the main source of natural metabolites with specialised pharmacological activities and have been widely examined by plant researchers. Numerous omics studies of medicinal plants have been performed to identify molecular markers of species and functional genes controlling key biological traits, as well as to understand biosynthetic pathways of bioactive metabolites and the regulatory mechanisms of environmental responses. Omics technologies have been widely applied to medicinal plants, including as taxonomics, transcriptomics, metabolomics, proteomics, genomics, pangenomics, epigenomics and mutagenomics. However, because of the complex biological regulation network, single omics usually fail to explain the specific biological phenomena. In recent years, reports of integrated multi-omics studies of medicinal plants have increased. Until now, there have few assessments of recent developments and upcoming trends in omics studies of medicinal plants. We highlight recent developments in omics research of medicinal plants, summarise the typical bioinformatics resources available for analysing omics datasets, and discuss related future directions and challenges. This information facilitates further studies of medicinal plants, refinement of current approaches and leads to new ideas.
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