密码子使用偏好性
转移RNA
生物
遗传学
翻译效率
基因
翻译(生物学)
操纵子
异源的
起始密码子
信使核糖核酸
大肠杆菌
核糖核酸
计算生物学
基因组
作者
Zoltán Lipinszki,Viktor Vernyik,Nóra Faragó,Tobias Sari,László G. Puskás,Frederick R. Blattner,György Pósfai,Zsuzsanna Györfy
摘要
Abstract Escherichia coli is a well-established, and popular host for heterologous expression of proteins. The preference in the choice of synonymous codons (codon bias), however, might differ for the host and the original source of the recombinant protein, constituting a potential bottleneck in production. Codon choice affects the efficiency of translation by a complex and poorly understood mechanism. The availability of certain tRNA species is one of the factors that may curtail the capacity of translation. Here we provide a tRNA-overexpressing strategy that allows the resolution of the codon bias, and boosts the translational capacity of the popular host BL21(DE3) when rare codons are encountered. In BL21(DE3)-derived strain, called SixPack, copies of the genes corresponding to the six least abundant tRNA species have been assembled in a synthetic fragment and inserted into a ribosomal RNA operon. This arrangement, while not interfering with the growth properties of the new strain, allows dynamic control of the transcription of the extra tRNA genes, providing significantly elevated levels of the rare tRNAs in exponential growth phase. Results from expression assays of a panel of heterologous proteins of diverse origin and codon composition showed that the performance of SixPack surpassed that of the parental BL21(DE3) or a related strain equipped with a rare tRNA-expressing plasmid. Importance Codon composition not fitting the codon bias of the expression host frequently compromises the efficient production of foreign proteins in E. coli . Various attempts to remedy the problem (codon optimization by gene synthesis, expression of rare tRNAs from a plasmid) proved to be unsatisfying. Our new approach, adjusting the tRNA pool by co-expressing extra copies of rare tRNA genes with ribosomal RNA genes, does not affect normal cell physiology, and seems to be a superior solution in terms of simplicity, cost, and yield.
科研通智能强力驱动
Strongly Powered by AbleSci AI