Microbial Biotechnology & Health Programme Institute of Biology, Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands.
Proteomics. 2018 Sep;18(18):e1700332. doi: 10.1002/pmic.201700332. Epub 2018 Jun 10.
Natural products (NPs) are a major source of compounds for medical, agricultural, and biotechnological industries. Many of these compounds are of microbial origin, and, in particular, from Actinobacteria or filamentous fungi. To successfully identify novel compounds that correlate to a bioactivity of interest, or discover new enzymes with desired functions, systematic multiomics approaches have been developed over the years. Bioinformatics tools harness the rapidly expanding wealth of genome sequence information, revealing previously unsuspected biosynthetic diversity. Varying growth conditions or application of elicitors are applied to activate cryptic biosynthetic gene clusters, and metabolomics provide detailed insights into the NPs they specify. Combining these technologies with proteomics-based approaches to profile the biosynthetic enzymes provides scientists with insights into the full biosynthetic potential of microorganisms. The proteomics approaches include enrichment strategies such as employing activity-based probes designed by chemical biology, as well as unbiased (quantitative) proteomics methods. In this review, the opportunities and challenges in microbial NP research are discussed, and, in particular, the application of proteomics to link biosynthetic enzymes to the molecules they produce, and vice versa.
天然产物 (NPs) 是医学、农业和生物技术产业化合物的主要来源。这些化合物中有许多来自微生物,特别是放线菌或丝状真菌。为了成功鉴定与目标生物活性相关的新型化合物,或发现具有所需功能的新酶,多年来已经开发了系统的多组学方法。生物信息学工具利用不断扩展的基因组序列信息财富,揭示了以前未被怀疑的生物合成多样性。不同的生长条件或使用诱导剂来激活隐藏的生物合成基因簇,代谢组学提供了对它们指定的 NPs 的详细了解。将这些技术与基于蛋白质组学的方法相结合,对生物合成酶进行分析,为科学家提供了对微生物全生物合成潜力的深入了解。蛋白质组学方法包括富集策略,例如使用化学生物学设计的基于活性的探针,以及无偏 (定量) 蛋白质组学方法。在这篇综述中,讨论了微生物 NP 研究中的机遇和挑战,特别是蛋白质组学在将生物合成酶与它们产生的分子联系起来,以及反之亦然的应用。