Kautsar Satria A, Suarez Duran Hernando G, Medema Marnix H
Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.
Methods Mol Biol. 2018;1795:173-188. doi: 10.1007/978-1-4939-7874-8_15.
Plants produce a vast diversity of specialized metabolites, which play important roles in the interactions with their microbiome, as well as with animals and other plants. Many such molecules have valuable biological activities that render them (potentially) useful as medicines, flavors and fragrances, nutritional ingredients, or cosmetics. Recently, plant scientists have discovered that the genes for many biosynthetic pathways for the production of such specialized metabolites are physically clustered on the chromosome within biosynthetic gene clusters (BGCs). The Plant Secondary Metabolite Analysis Shell (plantiSMASH) allows for the automated identification of such plant BGCs, facilitates comparison of BGCs across genomes, and helps users to predict the functional interactions of pairs of genes within and between BGCs based on coexpression analysis. In this chapter, we provide a detailed protocol on how to install and run plantiSMASH, and how to interpret its results to draw biological conclusions that are supported by the data.
植物产生种类繁多的特殊代谢产物,这些代谢产物在植物与微生物群落、动物及其他植物的相互作用中发挥着重要作用。许多这类分子具有宝贵的生物活性,使其(有可能)可用作药物、香料、营养成分或化妆品。最近,植物科学家发现,许多用于产生此类特殊代谢产物的生物合成途径的基因在染色体上物理聚集在生物合成基因簇(BGC)中。植物次生代谢产物分析工具(plantiSMASH)可自动识别此类植物BGC,便于跨基因组比较BGC,并帮助用户基于共表达分析预测BGC内和BGC之间基因对的功能相互作用。在本章中,我们提供了一份详细的方案,介绍如何安装和运行plantiSMASH,以及如何解读其结果以得出有数据支持的生物学结论。