Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota-Twin Cities, St. Paul, Minnesota 55108, United States.
Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
ACS Chem Biol. 2024 May 17;19(5):1116-1124. doi: 10.1021/acschembio.4c00066. Epub 2024 May 2.
Borosins are ribosomally synthesized and post-translationally modified peptides (RiPPs) containing backbone α--methylations. These modifications confer favorable pharmacokinetic properties including increased membrane permeability and resistance to proteolytic degradation. Previous studies have biochemically and bioinformatically explored several borosins, revealing (1) numerous domain architectures and (2) diverse core regions lacking conserved sequence elements. Due to these characteristics, large-scale computational identification of borosin biosynthetic genes remains challenging and often requires additional, time-intensive manual inspection. This work builds upon previous findings and updates the genome-mining tool RODEO to automatically evaluate borosin biosynthetic gene clusters (BGCs) and identify putative precursor peptides. Using the new RODEO module, we provide an updated analysis of borosin BGCs identified in the NCBI database. From our data set, we bioinformatically predict and experimentally characterize a new fused borosin domain architecture, in which the modified natural product core is encoded N-terminal to the methyltransferase domain. Additionally, we demonstrate that a borosin precursor peptide is a native substrate of shewasin A, a reported aspartyl peptidase with no previously identified substrates. Shewasin A requires post-translational modification of the leader peptide for proteolytic maturation, a feature not previously observed in RiPPs. Overall, this work provides a user-friendly and open-access tool for the analysis of borosin BGCs and we demonstrate its utility to uncover additional biosynthetic strategies within the borosin class of RiPPs.
硼肽是一类核糖体合成并经翻译后修饰的肽类(RiPPs),含有骨架α-甲基化。这些修饰赋予了有利的药代动力学性质,包括增加膜通透性和抵抗蛋白水解降解。以前的研究已经从生物化学和生物信息学的角度探索了几种硼肽,揭示了(1)许多结构域架构和(2)缺乏保守序列元件的不同核心区域。由于这些特征,大规模的硼肽生物合成基因的计算鉴定仍然具有挑战性,并且通常需要额外的、耗时的手动检查。这项工作建立在以前的发现基础上,并更新了基因组挖掘工具 RODEO,以自动评估硼肽生物合成基因簇(BGCs)并识别潜在的前体肽。使用新的 RODEO 模块,我们对在 NCBI 数据库中鉴定的硼肽 BGCs 进行了更新的分析。从我们的数据集,我们从生物信息学上预测并实验表征了一种新的融合硼肽结构域架构,其中经过修饰的天然产物核心位于甲基转移酶结构域的 N 端编码。此外,我们证明了硼肽前体肽是报道的天冬氨酰肽酶 shewasin A 的天然底物,而 shewasin A 没有以前鉴定的底物。shewasin A 需要对前导肽进行翻译后修饰以进行蛋白水解成熟,这是以前在 RiPPs 中没有观察到的特征。总的来说,这项工作为硼肽 BGCs 的分析提供了一个用户友好和开放访问的工具,并且我们证明了它在揭示硼肽类 RiPPs 中额外的生物合成策略方面的实用性。