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随机孔蛋白表达可以解释噬菌体λ的裂解时间变化。

Stochastic holin expression can account for lysis time variation in the bacteriophage λ.

作者信息

Singh Abhyudai, Dennehy John J

机构信息

Department of Electrical and Computer Engineering, Biomedical Engineering, Mathematical Sciences, University of Delaware, , Newark, DE 19716, USA.

出版信息

J R Soc Interface. 2014 Apr 9;11(95):20140140. doi: 10.1098/rsif.2014.0140. Print 2014 Jun 6.

Abstract

The inherent stochastic nature of biochemical processes can drive differences in gene expression between otherwise identical cells. While cell-to-cell variability in gene expression has received much attention, randomness in timing of events has been less studied. We investigate event timing at the single-cell level in a simple system, the lytic pathway of the bacterial virus phage λ. In individual cells, lysis occurs on average at 65 min, with an s.d. of 3.5 min. Interestingly, mutations in the lysis protein, holin, alter both the lysis time (LT) mean and variance. In our analysis, LT is formulated as the first-passage time (FPT) for cellular holin levels to cross a critical threshold. Exact analytical formulae for the FPT moments are derived for stochastic gene expression models. These formulae reveal how holin transcription and translation efficiencies independently modulate the LT mean and variation. Analytical expressions for the LT moments are used to evaluate previously published single-cell LT data for λ phages with mutations in the holin sequence or its promoter. Our results show that stochastic holin expression is sufficient to account for the intercellular LT differences in both wild-type phages, and phage variants where holin transcription and the threshold for lysis have been experimentally altered. Finally, our analysis reveals regulatory motifs that enhance the robustness of lysis timing to cellular noise.

摘要

生化过程固有的随机性能够促使原本相同的细胞之间出现基因表达差异。虽然基因表达的细胞间变异性已备受关注,但事件发生时间的随机性却较少被研究。我们在一个简单的系统——细菌病毒噬菌体λ的裂解途径中,对单细胞水平的事件发生时间进行了研究。在单个细胞中,平均裂解发生在65分钟,标准差为3.5分钟。有趣的是,裂解蛋白穿孔素的突变会改变裂解时间(LT)的均值和方差。在我们的分析中,LT被定义为细胞内穿孔素水平跨越临界阈值的首次通过时间(FPT)。针对随机基因表达模型,推导出了FPT矩的精确解析公式。这些公式揭示了穿孔素转录和翻译效率如何独立调节LT的均值和变异性。LT矩的解析表达式用于评估先前发表的关于穿孔素序列或其启动子发生突变的λ噬菌体的单细胞LT数据。我们的结果表明,随机的穿孔素表达足以解释野生型噬菌体以及穿孔素转录和裂解阈值已通过实验改变的噬菌体变体中细胞间LT的差异。最后,我们的分析揭示了增强裂解时间对细胞噪声鲁棒性的调控基序。

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