Chair of Biotechnology, Microbiology and Food Safety, University of Ljubljana Biotechnical Faculty, Ljubljana, Slovenia.
National Institute of Chemistry, Ljubljana, Slovenia.
mSystems. 2024 May 16;9(5):e0025024. doi: 10.1128/msystems.00250-24. Epub 2024 Apr 2.
Most biosynthetic gene clusters (BGC) encoding the synthesis of important microbial secondary metabolites, such as antibiotics, are either silent or poorly expressed; therefore, to ensure a strong pipeline of novel antibiotics, there is a need to develop rapid and efficient strain development approaches. This study uses comparative genome analysis to instruct rational strain improvement, using , the producer of the important antibiotic oxytetracycline (OTC) as a model system. Sequencing of the genomes of two industrial strains M4018 and R6-500, developed independently from a common ancestor, identified large DNA rearrangements located at the chromosome end. We evaluated the effect of these genome deletions on the parental Type Strain (ATCC 10970) genome where introduction of a 145 kb deletion close to the OTC BGC in the Type Strain resulted in massive OTC overproduction, achieving titers that were equivalent to M4018 and R6-500. Transcriptome data supported the hypothesis that the reason for such an increase in OTC biosynthesis was due to enhanced transcription of the OTC BGC and not due to enhanced substrate supply. We also observed changes in the expression of other cryptic BGCs; some metabolites, undetectable in ATCC 10970, were now produced at high titers. This study demonstrated for the first time that the main force behind BGC overexpression is genome rearrangement. This new approach demonstrates great potential to activate cryptic gene clusters of yet unexplored natural products of medical and industrial value.IMPORTANCEThere is a critical need to develop novel antibiotics to combat antimicrobial resistance. species are very rich source of antibiotics, typically encoding 20-60 biosynthetic gene clusters (BGCs). However, under laboratory conditions, most are either silent or poorly expressed so that their products are only detectable at nanogram quantities, which hampers drug development efforts. To address this subject, we used comparative genome analysis of industrial strains producing high titers of a broad spectrum antibiotic oxytetracycline (OTC), developed during decades of industrial strain improvement. Interestingly, large-scale chromosomal deletions were observed. Based on this information, we carried out targeted genome deletions in the native strain ATCC 10970, and we show that a targeted deletion in the vicinity of the OTC BGC significantly induced expression of the OTC BGC, as well as some other silent BGCs, thus suggesting that this approach may be a useful way to identify new natural products.
大多数生物合成基因簇(BGC)编码重要微生物次生代谢物的合成,如抗生素,要么沉默要么表达不佳;因此,为了确保新型抗生素的强劲研发,需要开发快速高效的菌株开发方法。本研究使用比较基因组分析指导合理的菌株改进,以 ,一种重要抗生素土霉素(OTC)的生产者为模型系统。对两个独立于共同祖先开发的工业菌株 M4018 和 R6-500 的基因组进行测序,鉴定出位于染色体末端的大型 DNA 重排。我们评估了这些基因组缺失对亲本 型菌株(ATCC 10970)基因组的影响,在该基因组中,在 型菌株中靠近 OTC BGC 引入 145 kb 的缺失导致 OTC 大量过量产生,达到与 M4018 和 R6-500 相当的效价。转录组数据支持这样一种假设,即 OTC 生物合成增加的原因是 OTC BGC 的转录增强,而不是由于增强了底物供应。我们还观察到其他隐性 BGC 表达的变化;一些在 ATCC 10970 中无法检测到的代谢物现在以高浓度产生。本研究首次证明 BGC 过表达的主要驱动力是基因组重排。这种新方法具有很大的潜力,可以激活尚未探索的具有医学和工业价值的天然产物的隐性基因簇。
开发新型抗生素以对抗抗生素耐药性至关重要。 种是抗生素的非常丰富的来源,通常编码 20-60 个生物合成基因簇(BGC)。然而,在实验室条件下,大多数 BGC 要么沉默要么表达不佳,以至于它们的产物只能以纳克数量检测到,这阻碍了药物开发工作。为了解决这个问题,我们使用比较基因组分析了工业 菌株,这些菌株在几十年的工业菌株改良过程中产生了高浓度的广谱抗生素土霉素(OTC)。有趣的是,观察到大规模的染色体缺失。基于此信息,我们在天然菌株 ATCC 10970 中进行了靶向基因组缺失,我们表明在 OTC BGC 附近进行靶向缺失显着诱导了 OTC BGC 的表达,以及一些其他沉默 BGC 的表达,因此表明这种方法可能是识别新天然产物的一种有用方法。