Bioreactor studies on temperature induction of the Q(-) mutant of bacteriophage lambda in Escherichia coli

被引:23
作者
Chen, BY [1 ]
Lim, HC [1 ]
机构
[1] UNIV CALIF IRVINE, SCH ENGN, DEPT CHEM & BIOCHEM ENGN, IRVINE, CA 92717 USA
关键词
bacteriophage lambda; coevolution; Escherichia coli; prey-predator isoclines; temperature induction; threshold;
D O I
10.1016/0168-1656(96)01571-4
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The parasite-host interactions between bacteriophage lambda (denoted as lambda) and Escherichia coli bacteria were studied in different bioreactor systems. Although the replicated lambda-DNA of Q(-) mutant remains naked for a longer time to reach a high gene expression, the epidemic of lambda-infection and the coevolutionary host-phage relations limit the temperature induction efficiency. The temperature induction is strongly dependent upon the susceptible population density at which lambda-infection is activated. Maximum beta-galactosidase expression occurs at the threshold of the infection system. According to this concept, the lethal level of parasitic lambda to hosts is approx. 5 x 10(6) pfu/ml. Since a higher phage lambda burden is exerted upon host cells at a low ODsh, the system moves towards virulence reduction for total survival. Prey-predator isocline analysis is used to consider the stability of the outcome of infection. The host growth has a destabilizing effect at lower population densities and a stabilization effect at higher population. Based upon the predictions, a substrate enrichment enhances bacterial growth and reporter protein production. However, the operations still need to follow the trajectory of threshold tie line to guarantee maximal productivity. Since the washout of infected cells reduces induction performance in continuous cultures, a batch mode of operation is better than continuous stirred tank reactor (CSTR) mode to achieve high gene expression. The threshold cell density regulates induction performances and therefore produces the optimal gene expression by maintaining maximal viable cells that provide sufficient resources for lambda expression.
引用
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页码:1 / 20
页数:20
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