Engineering a New SsrA-Based Degradation Tag (LAA-LAA) and a Bacterial Synthetic Oscillator

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Prajakta Jadhav, Sudeshna Roy, Xuan Yi Butzin and Nicholas C. Butzin*, 
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Abstract

The ATP-dependent ClpXP-SspB protease complex is responsible for the degradation of intracellular proteins and is maintained at low levels in Escherichia coli to avoid nonspecific degradation. The rate-limiting step in the protease complex leads to proteolytic queueing, where the proteins form waiting lines, and their overall degradation rate is slowed. Synthetic biologists have leveraged proteolytic queueing to design robust synthetic circuits by tagging proteins with the SsrA tag, an 11-amino acid sequence recognized by the complex. Previous work has demonstrated the binding site of each component of the ClpXP-SspB complex to the SsrA tag. However, the precise component responsible for queueing was unknown. To identify the bottleneck in the complex, we designed different SsrA tag variants depending on the chaperone binding sequences. We further overexpressed each protein in the ClpXP-SspB complex in vivo to determine how an increased amount of each component affects the tagged protein levels. Based on the degradation of the SsrA variants, upon overexpression of each component of the ClpXP-SspB system, evidence supports that ClpX (the ATP-dependent chaperone) is responsible for queueing but not ClpP (the protease) or SspB (the adapter, ATP-independent chaperone). In the process, we identified LAA-LAA, a 6-amino acid ClpX-dependent tag that degraded in vivo faster than the original SsrA tag, AANDENYALAA. We speculated that this high degradation tag could be useful in a dynamic-synthetic circuit, so we modified the well-characterized dual-feedback oscillator by replacing its original SsrA tag with the LAA-LAA tag to form the LAA-LAA-Osc oscillator. Both population and single-cell level experiments show that the new and old oscillators have distinct frequencies. Like the original oscillator, thousands of cells containing the new oscillator could be synchronized by entrainment using an external signal. Thus, the new LAA-LAA-Osc oscillator retains the original oscillator’s best characteristics (robustness to fluctuations, a steady oscillation period, and entrainment across 1000s of cells to an external signal) but oscillates at a different frequency.

Abstract Image

设计一种新的基于ssra的降解标签(LAA-LAA)和细菌合成振荡器
依赖 ATP 的 ClpXP-SspB 蛋白酶复合物负责细胞内蛋白质的降解,并在大肠杆菌中维持在较低水平,以避免非特异性降解。蛋白酶复合物中的限速步骤会导致蛋白水解排队,即蛋白质形成等待队列,整体降解速度减慢。合成生物学家利用蛋白水解排队现象设计出了稳健的合成电路,方法是用 SsrA 标签(该复合体可识别的 11 个氨基酸序列)标记蛋白质。以前的工作已经证明了 ClpXP-SspB 复合物的每个成分与 SsrA 标记的结合位点。然而,负责排队的确切成分尚不清楚。为了确定复合体中的瓶颈,我们根据伴侣蛋白的结合序列设计了不同的 SsrA 标签变体。我们进一步在体内过表达了 ClpXP-SspB 复合物中的每种蛋白质,以确定每种成分含量的增加对标记蛋白质水平的影响。根据过量表达 ClpXP-SspB 系统各组分后 SsrA 变体的降解情况,有证据支持 ClpX(依赖 ATP 的伴侣蛋白)负责排队,而不是 ClpP(蛋白酶)或 SspB(适配器、不依赖 ATP 的伴侣蛋白)。在此过程中,我们发现了 LAA-LAA,这是一种依赖于 ClpX 的 6 氨基酸标签,它在体内的降解速度比原始 SsrA 标签 AANDENYALAA 快。我们推测,这种高降解标签在动态合成电路中可能有用,因此我们用 LAA-LAA 标签取代了原来的 SsrA 标签,形成了 LAA-LAA-Osc 振荡器,从而改造了特性良好的双反馈振荡器。群体和单细胞水平的实验都表明,新旧振荡器具有不同的频率。与原始振荡器一样,包含新振荡器的数千个细胞可以通过使用外部信号进行夹带来实现同步。因此,新的 LAA-LAA-Osc 振荡器保留了原始振荡器的最佳特性(对波动的鲁棒性、稳定的振荡周期以及成千上万个细胞对外部信号的夹带),但振荡频率不同。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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