大肠杆菌
生物化学
重组DNA
生物合成
操纵子
代谢工程
酶
核糖体结合位点
质粒
生物
突变体
化脓性链球菌
ATP合酶
基因
化学
细菌
翻译(生物学)
信使核糖核酸
遗传学
金黄色葡萄球菌
作者
Huimin Yu,Gregory Stephanopoulos
标识
DOI:10.1016/j.ymben.2007.09.001
摘要
Engineering of hyaluronic acid (HA) biosynthetic pathway in recombinant Escherichia coli as production host is reported in this work. A hyaluronic acid synthase (HAS) gene, sphasA, from Sreptococcus pyogenes with the start codon gtg to atg mutant, was expressed in recombinant E. coli with or without the genes ugd, galF and glmU, which are analogs of hasB, hasC and hasD from Streptococcus, respectively, encoding UDP-glucose 6-dehygrogenase, Glucose-1-P uridyltransferase, and N-acetyl glucosamine uridyltransferase enzymes in the HA biosynthetic pathway. The single, double and triple organized artificial operons of sphasA, ugd, galF and glmU were designed and constructed using the inducible plasmid backbone of pMBAD. Only the triple expression recombinant, Top10/pMBAD-spABC, generated a relatively high titer of HA (approximately 48 mg/l at 48 h), indicating that both of the enzymes encoded by ugd and galF are essential for HA biosynthesis. A new gene of ssehasA with identical protein sequence of seHAS from Streptococcus equisimilis, was artificially synthesized after substituting all of the rare codons in the natural sehasA. The HA titer at 24 h flask culture increased to approximately 190 mg/l in sseAB and 160 mg/l in sseABC, respectively. Sorbitol could be used as another carbon source for HA accumulation, and the metabolic pathway for HA synthesis in a recombinant E. coli was presented. The concentration of Mg(2+) cofactor of HA synthase was optimized and a cell growth inhibition phenomenon was observed during HA accumulation. Molecular weight (MW) measurements revealed that the mean MW of HA produced from the recombinant E. coli under different conditions ranges from approximately 3.5x10(5) to 1.9x10(6)Da, indicating that the recombinant E. coli can be used as a potential host candidate for industrial production of HA.
科研通智能强力驱动
Strongly Powered by AbleSci AI