Ichihashi Norikazu, Matsuura Tomoaki, Kita Hiroshi, Hosoda Kazufumi, Sunami Takeshi, Tsukada Koji, Yomo Tetsuya
Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan.
Chembiochem. 2008 Dec 15;9(18):3023-8. doi: 10.1002/cbic.200800518.
In all living systems, the genetic information is replicated by the self-encoded replicase (Rep); this can be said to be a self-encoding system. Recently, we constructed a self-encoding system in liposomes as an artificial cell model, consisting of a reconstituted translation system and an RNA encoding the catalytic subunit of Qbeta Rep and the RNA was replicated by the self-encoded Rep produced by the translation reaction. In this system, both the ribosome (Rib) and Rep bind to the same RNA for translation and replication, respectively. Thus, there could be a dilemma: effective RNA replication requires high levels of Rep translation, but excessive translation in turn inhibits replication. Herein, we actually observed the competition between the Rib and Rep, and evaluated the effect for RNA replication by constructing a kinetic model that quantitatively explained the behavior of the self-encoding system. Both the experimental and theoretical results consistently indicated that the balance between translation and replication is critical for an efficient self-encoded system, and we determined the optimum balance.
在所有生命系统中,遗传信息由自我编码的复制酶(Rep)进行复制;这可以说是一个自我编码系统。最近,我们在脂质体中构建了一个作为人工细胞模型的自我编码系统,它由一个重构的翻译系统和一个编码Qβ Rep催化亚基的RNA组成,并且该RNA由翻译反应产生的自我编码的Rep进行复制。在这个系统中,核糖体(Rib)和Rep分别结合到同一RNA上进行翻译和复制。因此,可能会出现一个两难困境:有效的RNA复制需要高水平的Rep翻译,但过度翻译反过来又会抑制复制。在此,我们实际观察到了Rib和Rep之间的竞争,并通过构建一个定量解释自我编码系统行为的动力学模型来评估其对RNA复制的影响。实验和理论结果均一致表明,翻译和复制之间的平衡对于高效的自我编码系统至关重要,并且我们确定了最佳平衡。