Filipa Pereira, Morgan McCauley, Katherine Lev, Linnea Verhey-Henke, Alanna R Condren, Ralph J Harte, Jesus Galvez, David H Sherman
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To address this challenge, we designed a library of engineered Streptomyces strains for the overproduction of concanamycin A-C by combining the overexpression of target regulatory genes with the optimization of fermentation media. Integration of two endogenous regulators from the concanamycin biosynthetic gene cluster (cms) and one heterologous regulatory gene from the bafilomycin biosynthetic gene cluster significantly increased production of concanamycin A and its less abundant analog concanamycin B in Streptomyces eitanensis. The highest titers reported to date were observed in the engineered S. eitanensis DHS10676, which produced over 900 mg/L of concanamycin A and 300 mg/L of concanamycin B. Heterologous overexpression of the identified target regulatory genes across a panel of Streptomyces spp. harboring a putative concanamycin biosynthetic gene cluster confirmed its identity, and significantly improved concanamycin A production in all tested strains. Strain engineering, optimization of fermentation, and extraction purification protocols enabled swift access to these structurally complex plecomacrolides for semi-synthetic medicinal chemistry-based approaches. 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引用次数: 0
摘要
Plecomacrolides(如康卡霉素和巴佛霉素)是空泡型 ATPase 的强效特异性抑制剂。康加霉素是一种 18 元大环内酯类药物,具有治疗多种疾病(包括病毒感染、骨质疏松症和癌症)的潜力。由于其总合成的复杂性,康康霉素只能通过微生物发酵来生产。然而,原生生产菌株中低滴度的康卡那霉素 A 及其类似物是扩大生产规模、进行稳健的结构-活性关系研究和药物开发的重要瓶颈。为了应对这一挑战,我们设计了一个工程化链霉菌菌株库,通过结合目标调控基因的过表达和发酵培养基的优化,来过量生产凹霉素。在埃坦链霉菌(Streptomyces eitanensis)的attB位点上整合了两个来自共霉素生物合成基因簇(cms)的内源调控基因和一个来自巴佛霉素生物合成基因簇的异源调控基因,显著提高了共霉素A及其低丰度类似物共霉素B的产量。对已确定的目标调控基因进行异源过表达后,在所有链霉菌属中都证实了其身份,并显著提高了所有测试菌株的康那霉素 A 产量。通过菌株工程、发酵优化和提取纯化协议,可以迅速获得这些结构复杂的多粘菌素,并用于基于半合成药物化学的方法。总之,这项工作建立了一个跨物种强力过量生产康加霉素类似物的平台。
Optimized production of concanamycins using a rational metabolic engineering strategy.
Plecomacrolides, such as concanamycins and bafilomycins, are potent and specific inhibitors of vacuolar-type ATPase. Concanamycins are 18-membered macrolides with promising therapeutic potential against multiple diseases, including viral infection, osteoporosis, and cancer. Due to the complexity of their total synthesis, the production of concanamycins is only achieved through microbial fermentation. However, the low titers of concanamycin A and its analogs in the native producing strains are a significant bottleneck for scale-up, robust structure-activity relationship studies, and drug development. To address this challenge, we designed a library of engineered Streptomyces strains for the overproduction of concanamycin A-C by combining the overexpression of target regulatory genes with the optimization of fermentation media. Integration of two endogenous regulators from the concanamycin biosynthetic gene cluster (cms) and one heterologous regulatory gene from the bafilomycin biosynthetic gene cluster significantly increased production of concanamycin A and its less abundant analog concanamycin B in Streptomyces eitanensis. The highest titers reported to date were observed in the engineered S. eitanensis DHS10676, which produced over 900 mg/L of concanamycin A and 300 mg/L of concanamycin B. Heterologous overexpression of the identified target regulatory genes across a panel of Streptomyces spp. harboring a putative concanamycin biosynthetic gene cluster confirmed its identity, and significantly improved concanamycin A production in all tested strains. Strain engineering, optimization of fermentation, and extraction purification protocols enabled swift access to these structurally complex plecomacrolides for semi-synthetic medicinal chemistry-based approaches. Together, this work established a platform for robust overproduction of concanamycin analogs across species.
期刊介绍:
Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.