Karničar Katarina, Drobnak Igor, Petek Marko, Magdevska Vasilka, Horvat Jaka, Vidmar Robert, Baebler Špela, Rotter Ana, Jamnik Polona, Fujs Štefan, Turk Boris, Fonovič Marko, Gruden Kristina, Kosec Gregor, Petković Hrvoje
Acies Bio, d.o.o., Tehnološki park 21, SI-1000, Ljubljana, Slovenia.
Department of Synthetic Biology and Immunology, National Institute of Chemistry, Hajdrihova 19, SI-1000, Ljubljana, Slovenia.
Microb Cell Fact. 2016 Jun 3;15:93. doi: 10.1186/s12934-016-0496-5.
Omics approaches have significantly increased our understanding of biological systems. However, they have had limited success in explaining the dramatically increased productivity of commercially important natural products by industrial high-producing strains, such as the erythromycin-producing actinomycete Saccharopolyspora erythraea. Further yield increase is of great importance but requires a better understanding of the underlying physiological processes.
To reveal the mechanisms related to erythromycin yield increase, we have undertaken an integrated study of the genomic, transcriptomic, and proteomic differences between the wild type strain NRRL2338 (WT) and the industrial high-producing strain ABE1441 (HP) of S. erythraea at multiple time points of a simulated industrial bioprocess. 165 observed mutations lead to differences in gene expression profiles and protein abundance between the two strains, which were most prominent in the initial stages of erythromycin production. Enzymes involved in erythromycin biosynthesis, metabolism of branched chain amino acids and proteolysis were most strongly upregulated in the HP strain. Interestingly, genes related to TCA cycle and DNA-repair were downregulated. Additionally, comprehensive data analysis uncovered significant correlations in expression profiles of the erythromycin-biosynthetic genes, other biosynthetic gene clusters and previously unidentified putative regulatory genes. Based on this information, we demonstrated that overexpression of several genes involved in amino acid metabolism can contribute to increased yield of erythromycin, confirming the validity of our systems biology approach.
Our comprehensive omics approach, carried out in industrially relevant conditions, enabled the identification of key pathways affecting erythromycin yield and suggests strategies for rapid increase in the production of secondary metabolites in industrial environment.
组学方法极大地增进了我们对生物系统的理解。然而,在解释工业高产菌株(如产红霉素的放线菌糖多孢红霉菌)大幅提高重要天然产物产量方面,它们取得的成功有限。进一步提高产量至关重要,但需要更好地理解其潜在的生理过程。
为揭示与红霉素产量增加相关的机制,我们对野生型菌株NRRL2338(WT)和糖多孢红霉菌工业高产菌株ABE1441(HP)在模拟工业生物过程的多个时间点进行了基因组、转录组和蛋白质组差异的综合研究。165个观察到的突变导致两菌株间基因表达谱和蛋白质丰度存在差异,这些差异在红霉素生产的初始阶段最为显著。参与红霉素生物合成、支链氨基酸代谢和蛋白水解的酶在HP菌株中上调最为强烈。有趣的是,与三羧酸循环和DNA修复相关的基因下调。此外,综合数据分析揭示了红霉素生物合成基因、其他生物合成基因簇和先前未鉴定的假定调控基因的表达谱之间存在显著相关性。基于这些信息,我们证明了几个参与氨基酸代谢的基因过表达可促进红霉素产量增加,证实了我们系统生物学方法的有效性。
我们在工业相关条件下开展的综合组学方法,能够鉴定影响红霉素产量的关键途径,并为在工业环境中快速提高次级代谢产物产量提供策略。