Deepanwita Banerjee , Ian S. Yunus , Xi Wang , Jinho Kim , Aparajitha Srinivasan , Russel Menchavez , Yan Chen , Jennifer W. Gin , Christopher J. Petzold , Hector Garcia Martin , Jon K. Magnuson , Paul D. Adams , Blake A. Simmons , Aindrila Mukhopadhyay , Joonhoon Kim , Taek Soon Lee
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引用次数: 0
摘要
可持续航空燃料(SAF)将对航空领域的全球变暖产生重大影响,而重要的可持续航空燃料目标正在出现。异戊二烯醇是一种前景广阔的可持续航空燃料化合物 DMCO(1,4-二甲基环辛烷)的前体,已在几种工程微生物中生产。最近,普氏假单胞菌(Pseudomonas putida)作为异丙醇生物生产的未来宿主引起了人们的兴趣,因为它可以利用廉价植物生物质中的碳源。在这里,我们对代谢多功能宿主 P. putida 进行了工程改造,以生产异丙肾上腺素。我们采用两种计算建模方法(双级优化和受限最小切割集)来预测基因敲除目标,并优化 P. putida 的 "IPP 旁路 "途径,以最大限度地提高异丙肾上腺素的产量。在喂养批次条件下,P. putida 生产异丙醇的最高滴度为 3.5 克/升。这种将计算建模和菌株工程学相结合的用于高级生物燃料生产的 P. putida 对实现可利用可再生碳流的生物生产过程具有重要意义。
Genome-scale and pathway engineering for the sustainable aviation fuel precursor isoprenol production in Pseudomonas putida
Sustainable aviation fuel (SAF) will significantly impact global warming in the aviation sector, and important SAF targets are emerging. Isoprenol is a precursor for a promising SAF compound DMCO (1,4-dimethylcyclooctane) and has been produced in several engineered microorganisms. Recently, Pseudomonas putida has gained interest as a future host for isoprenol bioproduction as it can utilize carbon sources from inexpensive plant biomass. Here, we engineer metabolically versatile host P. putida for isoprenol production. We employ two computational modeling approaches (Bilevel optimization and Constrained Minimal Cut Sets) to predict gene knockout targets and optimize the “IPP-bypass” pathway in P. putida to maximize isoprenol production. Altogether, the highest isoprenol production titer from P. putida was achieved at 3.5 g/L under fed-batch conditions. This combination of computational modeling and strain engineering on P. putida for an advanced biofuels production has vital significance in enabling a bioproduction process that can use renewable carbon streams.
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.