Enhanced poly-γ-glutamic acid synthesis in Corynebacterium glutamicum by reconstituting PgsBCA complex and fermentation optimization

IF 6.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Metabolic engineering Pub Date : 2024-01-01 DOI:10.1016/j.ymben.2023.12.008
Guoqiang Xu , Jiyue Wang , Jiancheng Shen , Yaxin Zhu , Wanjing Liu , Yuhang Chen , Jian Zha , Xiaomei Zhang , Xiaojuan Zhang , Jinsong Shi , Mattheos A.G. Koffas , Zhenghong Xu
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Abstract

Previously, a novel Corynebacterium glutamicum strain for the de novo biosynthesis of tailored poly-γ-glutamic acid (γ-PGA) has been constructed by our group. The strain was based on the γ-PGA synthetase complex, PgsBCA, which is the only polyprotein complex responsible for γ-PGA synthesis in Bacillus spp. In the present study, PgsBCA was reconstituted and overexpressed in C. glutamicum to further enhance γ-PGA synthesis. First, we confirmed that all the components (PgsB, PgsC, and PgsA) of γ-PGA synthetase derived from B. licheniformis are necessary for γ-PGA synthesis, and γ-PGA was detected only when PgsB, PgsC, and PgsA were expressed in combination in C. glutamicum. Next, the expression level of each pgsB, pgsC, and pgsA was tuned in order to explore the effect of expression of each of the γ-PGA synthetase subunits on γ-PGA production. Results showed that increasing the transcription levels of pgsB or pgsC and maintaining a medium-level transcription level of pgsA led to 35.44% and 76.53% increase in γ-PGA yield (γ-PGA yield-to-biomass), respectively. Notably, the expression level of pgsC had the greatest influence (accounting for 68.24%) on γ-PGA synthesis, followed by pgsB. Next, genes encoding for PgsC from four different sources (Bacillus subtilis, Bacillus anthracis, Bacillus methylotrophicus, and Bacillus amyloliquefaciens) were tested in order to identify the influence of PgsC-encoding orthologues on γ-PGA production, but results showed that in all cases the synthesis of γ-PGA was significantly inhibited. Similarly, we also explored the influence of gene orthologues encoding for PgsB on γ-PGA production, and found that the titer increased to 17.14 ± 0.62 g/L from 8.24 ± 0.10 g/L when PgsB derived from B. methylotrophicus replaced PgsB alone in PgsBCA from B. licheniformis. The resulting strain was chosen for further optimization, and we achieved a γ-PGA titer of 38.26 g/L in a 5 L fermentor by optimizing dissolved oxygen level. Subsequently, by supplementing glucose, γ-PGA titer increased to 50.2 g/L at 48 h. To the best of our knowledge, this study achieved the highest titer for de novo production of γ-PGA from glucose, without addition of L-glutamic acid, resulting in a novel strategy for enhancing γ-PGA production.

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通过重组 PgsBCA 复合物和优化发酵,提高谷氨酸棒杆菌的聚-γ-谷氨酸合成能力
此前,我们的研究小组构建了一种新型谷氨酸棒杆菌菌株,用于从头开始生物合成定制的聚-γ-谷氨酸(γ-PGA)。该菌株以γ-PGA合成酶复合物PgsBCA为基础,PgsBCA是芽孢杆菌中唯一负责γ-PGA合成的多聚蛋白复合物。在本研究中,为了进一步提高γ-PGA的合成,我们在谷氨酸杆菌中重组并过表达了PgsBCA。首先,我们证实来自地衣芽孢杆菌的γ-PGA合成酶的所有成分(PgsB、PgsC和PgsA)都是γ-PGA合成所必需的,只有当PgsB、PgsC和PgsA在谷氨酸菌中联合表达时,才能检测到γ-PGA。接下来,对 pgsB、pgsC 和 pgsA 各自的表达水平进行了调整,以探讨γ-PGA 合成酶各亚基的表达对γ-PGA 产量的影响。结果表明,提高 pgsB 或 pgsC 的转录水平,并保持 pgsA 的中等转录水平,γ-PGA 产量(γ-PGA 产量比生物量)分别提高了 35.44% 和 76.53%。值得注意的是,pgsC 的表达水平对γ-PGA 合成的影响最大(占 68.24%),其次是 pgsB。接下来,我们检测了来自四种不同来源(枯草芽孢杆菌、炭疽芽孢杆菌、甲滋养芽孢杆菌和淀粉芽孢杆菌)的 PgsC 编码基因,以确定 PgsC 编码同源物对 γ-PGA 产量的影响,但结果显示,在所有情况下,γ-PGA 的合成都受到了明显的抑制。同样,我们还探讨了编码 PgsB 的基因直向同源物对γ-PGA 产量的影响,结果发现,当来自地衣芽孢杆菌 PgsBCA 中的 PgsB 单独取代来自甲基营养芽孢杆菌(B. methylotrophicus)的 PgsB 时,滴度从 8.24 ± 0.10 g/L 增加到 17.14 ± 0.62 g/L。通过优化溶解氧水平,我们在 5 升发酵罐中获得了 38.26 克/升的γ-PGA 滴度。据我们所知,这项研究在不添加 L-谷氨酸的情况下,实现了从葡萄糖中从头生产 γ-PGA 的最高滴度,为提高 γ-PGA 产量提供了一种新策略。
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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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