Division of Physical Chemistry, Institute Ruđer Bošković, Zagreb, Croatia.
Centre for Molecular Biosciences, Ulster University, Coleraine, United Kingdom.
mSystems. 2022 Oct 26;7(5):e0019922. doi: 10.1128/msystems.00199-22. Epub 2022 Sep 12.
Streptomyces rimosus is an industrial streptomycete, best known as a producer of oxytetracycline, one of the most widely used antibiotics. Despite the significant contribution of species to the pharmaceutical industry, most omics analyses have only been conducted on the model organism Streptomyces coelicolor. In recent years, protein phosphorylation on serine, threonine, and tyrosine (Ser, Thr, and Tyr, respectively) has been shown to play a crucial role in the regulation of numerous cellular processes, including metabolic changes leading to antibiotic production and morphological changes. In this study, we performed a comprehensive quantitative (phospho)proteomic analysis during the growth of S. rimosus under conditions of oxytetracycline production and pellet fragmentation. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis combined with phosphopeptide enrichment detected a total of 3,725 proteins, corresponding to 45.6% of the proteome and 417 phosphorylation sites from 230 phosphoproteins. Significant changes in abundance during three distinct growth phases were determined for 494 proteins and 98 phosphorylation sites. Functional analysis revealed changes in phosphorylation events of proteins involved in important cellular processes, including regulatory mechanisms, primary and secondary metabolism, cell division, and stress response. About 80% of the phosphoproteins detected during submerged growth of S. rimosus have not yet been reported in streptomycetes, and 55 phosphoproteins were not reported in any prokaryote studied so far. This enabled the creation of a unique resource that provides novel insights into the dynamics of (phospho)proteins and reveals many potential regulatory events during antibiotic production in liquid culture of an industrially important bacterium. Streptomyces rimosus is best known as a primary source of oxytetracycline (OTC). The significant global market value of OTC highlights the need for a better understanding of the regulatory mechanisms that lead to production of this antibiotic. Our study provides, for the first time, a detailed insight into the dynamics of (phospho)proteomic profiles during growth and antibiotic production in liquid culture of S. rimosus. Significant changes in protein synthesis and phosphorylation have been revealed for a number of important cellular proteins during the growth stages that coincide with OTC production and morphological changes of this industrially important bacterium. Most of these proteins have not been detected in previous studies. Therefore, our results significantly expand the insight into phosphorylation events associated with important cellular processes and antibiotic production; they also greatly increase the phosphoproteome of streptomycetes and contribute with newly discovered phosphoproteins to the database of prokaryotic phosphoproteomes. This can consequently lead to the design of novel research directions in elucidation of the complex regulatory network in .
产多杀菌素链霉菌是一种工业链霉菌,以产土霉素而闻名,土霉素是应用最广泛的抗生素之一。尽管 种对制药工业有重大贡献,但大多数组学分析仅在模式生物变铅青链霉菌上进行。近年来,丝氨酸、苏氨酸和酪氨酸(分别为 Ser、Thr 和 Tyr)上的蛋白质磷酸化已被证明在许多细胞过程的调控中起着至关重要的作用,包括导致抗生素产生的代谢变化和形态变化。在这项研究中,我们在产土霉素条件下和颗粒破碎时,对产多杀菌素链霉菌的生长进行了全面的定量(磷酸化)蛋白质组学分析。结合磷酸肽富集的液相色谱-串联质谱(LC-MS/MS)分析共检测到 3725 种蛋白质,对应于蛋白质组的 45.6%和 230 种磷酸化蛋白中的 417 个磷酸化位点。在三个不同的生长阶段,494 种蛋白质和 98 个磷酸化位点的丰度发生了显著变化。功能分析显示,参与重要细胞过程的蛋白质的磷酸化事件发生了变化,包括调节机制、初级和次级代谢、细胞分裂和应激反应。在产多杀菌素链霉菌的液体培养中检测到的约 80%的磷酸化蛋白在链霉菌中尚未报道,在迄今为止研究的任何原核生物中都没有报道 55 种磷酸化蛋白。这使得创建一个独特的资源成为可能,该资源提供了抗生素生产过程中液体培养的重要细菌中(磷酸化)蛋白质动态的新见解,并揭示了许多潜在的调控事件。产多杀菌素链霉菌以产土霉素(OTC)为主要来源而闻名。OTC 的巨大全球市场价值突显了更好地理解导致产生这种抗生素的调控机制的必要性。我们的研究首次提供了在产多杀菌素链霉菌的液体培养中生长和抗生素生产过程中(磷酸化)蛋白质组学图谱动态的详细信息。在与 OTC 生产和该重要工业细菌形态变化相吻合的生长阶段,许多重要的细胞蛋白的蛋白质合成和磷酸化发生了显著变化。在以前的研究中没有检测到这些蛋白质中的大多数。因此,我们的结果显著扩展了与重要细胞过程和抗生素生产相关的磷酸化事件的认识;它们还极大地增加了链霉菌的磷酸蛋白质组,并为原核磷酸蛋白质组的数据库提供了新发现的磷酸化蛋白。这可能会导致在阐明复杂调控网络方面设计新的研究方向。