Metabolic engineering of “last-line antibiotic” colistin in Paenibacillus polymyxa

IF 6.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Metabolic engineering Pub Date : 2024-07-15 DOI:10.1016/j.ymben.2024.07.005
Nanzhu Chen, Peiyan Cai, Dengwei Zhang, Junliang Zhang, Zheng Zhong, Yong-Xin Li
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Abstract

Colistin, also known as polymyxin E, is a lipopeptide antibiotic used to treat infections caused by multidrug-resistant gram-negative bacteria. It is considered a “last-line antibiotic”, but its clinical development is hindered by low titer and impurities resulting from the presence of diverse homologs in microbial fermentation. To ensure consistent pharmaceutical activity and kinetics, it is crucial to have high-purity colistin active pharmaceutical ingredient (API) in the pharmaceutical industry. This study focused on the metabolic engineering of a natural colistin producer strain to produce colistin with a high titer and purity. Guided by genome mining, we identified Paenibacillus polymyxa ATCC 842 as a natural colistin producer capable of generating a high proportion of colistin A. By systematically inactivating seven non-essential biosynthetic gene clusters (BGCs) of peptide metabolites that might compete precursors with colistin or inhibit colistin production, we created an engineered strain, P14, which exhibited an 82% increase in colistin titer and effectively eliminated metabolite impurities such as tridecaptin, paenibacillin, and paenilan. Additionally, we engineered the L-2,4-diaminobutyric acid (L-2,4-DABA) pathway to further enhance colistin production, resulting in the engineered strain P19, which boosted a remarkable colistin titer of 649.3 mg/L – a 269% improvement compared to the original strain. By concurrently feeding L-isoleucine and L-leucine, we successfully produced high-purity colistin A, constituting 88% of the total colistin products. This study highlights the potential of metabolic engineering in improving the titer and purity of lipopeptide antibiotics in the non-model strain, making them more suitable for clinical use. These findings indicate that efficiently producing colistin API in high purity directly from fermentation can now be achieved in a straightforward manner.

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多粘毛芽孢杆菌中 "最后一线抗生素 "可乐定的代谢工程
秋水仙素又称多粘菌素 E,是一种脂肽类抗生素,用于治疗由具有多重耐药性的革兰氏阴性菌引起的感染。它被认为是 "最后一线抗生素",但由于微生物发酵过程中存在多种同源物而导致滴度低和杂质,其临床开发受到阻碍。为了确保稳定的药物活性和动力学,制药业必须拥有高纯度的可乐定活性药物成分(API)。本研究的重点是对天然秋水仙素生产菌株进行代谢工程改造,以生产高滴度和高纯度的秋水仙素。在基因组挖掘的指导下,我们发现多粘毛芽孢杆菌(Paenibacillus polymyxa)ATCC 842 是一种天然的秋水仙素生产菌株,能够产生高比例的秋水仙素 A。通过系统性地灭活七个可能与秋水仙素竞争前体或抑制秋水仙素生产的多肽代谢物非必要生物合成基因簇(BGCs),我们创建了一个工程菌株 P14,它的秋水仙素滴度提高了 82%,并有效地消除了代谢物杂质,如 tridecaptin、paenibacillin 和 paenilan。此外,我们还改造了 L-2,4-二氨基丁酸(L-2,4-DABA)途径,进一步提高了秋水仙素的产量,最终改造菌株 P19 的秋水仙素滴度达到了 649.3 mg/L,与原始菌株相比提高了 269%。通过同时供给 L-异亮氨酸和 L-亮氨酸,我们成功生产出了高纯度的秋水仙素 A,占秋水仙素总产物的 88%。这项研究凸显了代谢工程在提高非模式菌株中脂肽抗生素的滴度和纯度方面的潜力,使其更适合临床使用。这些研究结果表明,直接从发酵中高效生产高纯度的秋水仙素原料药现在可以直接实现。
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来源期刊
Metabolic engineering
Metabolic engineering 工程技术-生物工程与应用微生物
CiteScore
15.60
自引率
6.00%
发文量
140
审稿时长
44 days
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.
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