An Auxin Toolbox for Synthetic Multicellular Systems
An Auxin Toolbox for Synthetic Multicellular Systems
批准号:
1411949
负责人:
Eric Klavins
金额:
$61.72万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-08-01 至 2018-03-31
中文摘要
该奖项由MCB的系统和合成生物学计划以及CBET的生物技术,生物化学和生物质工程计划资助,支持对植物使用的生长素信号系统的研究。生长素是一种激素,几乎存在于植物的每一个部分,是各种细胞反应所必需的。然而,目前还不清楚植物中的每个细胞如何根据细胞的类型、位置和历史对生长素信号做出不同的反应。了解植物如何使用生长素信号来协调多细胞行为将揭示植物如何生长和对刺激的反应,也可能产生新的工程工具和设计定制细胞间通信系统的方法。为了开发一个用生长素编程多细胞行为的工具箱,关键基因将从植物拟南芥中的生长素传感途径移植到酵母酿酒酵母中。实验室酵母是理想的表征的途径,因为它很容易操作,并具有所有的先决条件需要处理生长素,但在其他方面基本上是不敏感的,它是严格的定量表征的各种合成生长素信号电路,模仿那些在植物中发现的将结合数学建模和工程设计工具,以建立一个理解的可编程的途径。更广泛地说,这项工作可能会导致人类组织工程的新应用和改进重要作物物种的新方法。 该项目还将支持以生长素/酵母系统为例开发新的本科生和K-12教育模块,用于合成生物学和细胞信号传导。技术描述:利用植物的遗传部分、通路和灵感构建酵母中的合成细胞-细胞信号传导回路。蛋白质成分将在家庭成员中有所不同,以探索电路是如何调整的。数学建模和电路调谐的细微差异的表征将阐明生长素部分的可编程性。新的细胞-细胞行为的演示将作为该方法原理的证明。具体而言,将构建基于生长素受体(TIR 1、AFB 2)、转录因子(ARF)、辅因子(Aux/IAAs)的生长素信号处理电路。通过适当地组合这些组件,简单的信号处理电路,如滤波器,中继器和脉冲发生器将被构建,并在酵母中表征其动态行为。将在酵母中构建一个生长素生物合成模块,该模块由催化生长素产生的酶组成,并由生长素信号处理电路控制,以实现细胞间通讯的新模式。生长素感应电路将控制生长素的产生,以实现信号功能,如过滤器和阈值。发送,接收和处理生长素的能力将使多细胞行为的研究成为可能,如波传播或共识。 这些结果不仅为工程多细胞系统提供了新的工具,而且还将为植物如何以及为什么如此有效地使用生长素提供生物学假设。
英文摘要
The award funded by the Systems and Synthetic Biology Program in MCB and the Biotechnology, Biochemical and Biomass Engineering Program in CBET supports research into the auxin signaling system used by plants. Auxin is a hormone present in almost every part of the plant and is essential for diverse cellular responses. However, it remains unclear how each cell in the plant responds to auxin signals differently depending on what type of cell it is, its location, and its history. Understanding how plants use auxin signaling to coordinate multicellular behaviors will shed light on how plants grow and respond to stimuli and may also yield new engineering tools and methods for designing custom cell-cell communication systems. To develop a toolbox for programming multicellular behavior with auxin, key genes will be ported from the auxin sensing pathway in the plant Arabidopsis thaliana into the yeast Saccharomyces cerevisiae. Lab yeast is ideal for the characterization of the pathway because it is easy to manipulate and has all the prerequisites needed to process auxin, but is otherwise essentially insensitive to it. Rigorous quantitative characterization of a large variety of synthetic auxin signaling circuits that mimic those found in plants will be combined with mathematical modeling and engineering design tools to build an understanding of the programmability of the pathway. More broadly, the work may lead to new applications in human tissue engineering and new methods for improving important crop species. The project will also support the development of new undergraduate and K-12 educational modules on synthetic biology and cell signaling that use the auxin/yeast system as an example.Technical description: Synthetic cell-cell signaling circuits in yeast will be constructed using genetic parts, pathways, and inspiration from plants. Protein components will be varied across family members to explore how the circuits are tuned. Mathematical modeling and characterization of subtle differences in circuit tunings will elucidate the programmability of the auxin parts. Demonstration of novel cell-cell behaviors will serve as proof of principle of the approach. Specifically, auxin signal processing circuits based on auxin receptors (TIR1, AFB2), transcription factors (ARFs), co-factors (Aux/IAAs) will be constructed. By suitably combining these components, simple signal processing circuits such as filters, repeaters, and pulse generators will be constructed and their dynamic behaviors characterized in yeast. An auxin biosynthesis module, consisting of enzymes that catalyze the production of auxin and controlled by auxin signal processing circuits, will be constructed in yeast to enable a novel mode of cell-cell communication. Auxin sensing circuits will control the production of auxin to achieve signaling functions such as filters and thresholds. The capability to send, receive, and process auxin will enable the investigation of multicellular behaviors such as wave propagation or consensus. The results will not only provide new tools for engineering multicellular systems, but will also provide biological hypotheses about how and why auxin is used so effectively by plants.
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