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Importance of Translation–Replication Balance for Efficient Replication by the Self‐Encoded Replicase
Authors:Norikazu Ichihashi Dr.  Tomoaki Matsuura Dr.  Hiroshi Kita Dr.  Kazufumi Hosoda Dr.  Takeshi Sunami Dr.  Koji Tsukada Dr.  Tetsuya Yomo Prof.
Affiliation:1. Department of Bioinformatics Engineering, Graduate School of Information Science and Technology, Osaka University, 2‐1 Yamadaoka, Suita, Osaka, 565‐0871 (Japan), Fax: (+81)?6‐6879‐7433;2. Exploratory Research for Advanced Technology (ERATO), Japan Science and Technology Agency (JST), 2‐1 Yamadaoka, Suita, Osaka, 565‐0871 (Japan);3. Department of Biotechnology, Graduate School of Engineering, Osaka University, 2‐1 Yamadaoka, Suita, Osaka, 565‐0871 (Japan);4. Graduate School of Frontier Biosciences, Osaka University, University 2–1 Yamadaoka, Suita, Osaka, 565‐0871 (Japan)
Abstract: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 Qβ 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.
Keywords:artificial cells  gene expression     replicase  RNA  translation
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