Department of Forest Growth, Silviculture & Forest Genetics, Austrian Research Centre for Forests BFW, Vienna, Austria.
Methods Mol Biol. 2024;2788:171-193. doi: 10.1007/978-1-0716-3782-1_10.
Plants produce diverse specialized metabolites (SMs) that do not participate in plant growth and development but help them adapt to various environmental conditions. In addition to aiding in plant adaptation, different SMs serve as active ingredients for pharmaceutical and cosmetics products. However, despite their significant role in plant adaptation and industrial importance, the genes involved in the biosynthesis and regulation of many SMs remain largely unknown. This hinders deciphering the specific role of SMs in plant adaptation and limits their industrial utilization. Since many SMs pathway genes are expected to act in tight association with each other within a coexpression network, the network biology approach, such as weighted gene coexpression network analysis, could be used to identify the unknown genes. This chapter describes a workflow for constructing a gene coexpression network to identify genes that could be associated with the biosynthesis and regulation of SMs.
植物会产生多种多样的特殊代谢产物(SMs),这些物质并不参与植物的生长和发育,但有助于它们适应各种环境条件。除了帮助植物适应环境外,不同的 SMs 还可以作为药物和化妆品产品的有效成分。然而,尽管它们在植物适应和工业上具有重要作用,但许多 SMs 生物合成和调控相关的基因在很大程度上仍然未知。这阻碍了人们对 SMs 在植物适应中的具体作用的理解,也限制了它们的工业利用。由于许多 SMs 途径基因预计会在一个共表达网络中彼此紧密关联,因此网络生物学方法(如加权基因共表达网络分析)可用于鉴定未知基因。本章描述了一种构建基因共表达网络的工作流程,用于鉴定可能与 SMs 生物合成和调控相关的基因。