COLLABORATIVE RESEARCH: Programming the rhizosphere through highly integrated genetic, spatio-temporal control systems

合作研究：通过高度集成的遗传、时空控制系统对根际进行编程

• 批准号: 0943385
• 负责人: Hana El-Samad
• 金额: $ 59.2万
• 依托单位: University of California-San Francisco
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0943385&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Programming; rhizosphere; through

The study of gene regulation is central to modern biology. A significant portion of the nascent field of synthetic biology has revolved around building synthetic gene networks to recapitulate regulatory mechanisms found in nature or to engineer novel biological functions. However, artificial gene networks have not approached the sophistication of their natural counterparts in either design or performance. There are several technical and scientific challenges that currently limit the engineering of large-scale integrated synthetic genetic networks. This research centers on developing a framework for automating the process of gene network design by a) obtaining various working "parts" of gene regulatory mechanisms from nature and b) by applying engineering sciences to learn how to compose them reliably into novel systems which have predictable behaviors. The value of this project will be demonstrated through the development of the ?Programmable Rhizosphere?, which is a framework for engineering mutualism between model plant and soil microbe species. The Programmable Rhizosphere will allow control of interactions between disparate organisms, and represents a significant step towards our ability to manipulate complex ecosystems.Broader impact: This project brings together researchers from top US institutions as well as establishes a collaboration with major universities in the UK. Graduate students and postdoctoral researchers associated with this project will get an opportunity to participate in a multi-institution, multidisciplinary research project. They will have the opportunity to train on a wide variety of techniques in computational and molecular biology. The results of the project will be disseminated to the broader public including middle and high school students through the development of informational materials and hands-on demonstrations designed for educating the public on the technologies and potential impact of synthetic biology. In addition to the advances in the understanding of engineering synthetic regulatory systems, the Programmable Rhizosphere technology has broad implications for sustainability in agriculture. In particular, these technologies could be used to engineer beneficial phenomena such as nitrogen fixation in agricultural crops, which would displace petroleum-based fertilizers currently used in agricultural production.

基因调控的研究是现代生物学的核心。合成生物学的新生领域的一个重要部分围绕着构建合成基因网络来概括自然界中发现的调控机制或设计新的生物功能。然而，人工基因网络在设计或性能方面都没有接近其天然对应物的复杂性。目前，有几个技术和科学挑战限制了大规模综合合成遗传网络的工程设计。本研究的中心是开发一个框架，通过a）从自然界获得基因调控机制的各种工作“部分”，以及B）通过应用工程科学来学习如何将它们可靠地组合成具有可预测行为的新系统，来自动化基因网络设计过程。该项目的价值将通过发展的证明？可编程放射球？，它是模式植物和土壤微生物物种之间工程互惠的框架。可编程生物球将允许控制不同生物体之间的相互作用，代表着我们朝着操纵复杂生态系统的能力迈出了重要一步。更广泛的影响：该项目汇集了来自美国顶级机构的研究人员，并与英国主要大学建立了合作关系。与该项目相关的研究生和博士后研究人员将有机会参与多机构，多学科的研究项目。他们将有机会在计算和分子生物学的各种技术上进行培训。该项目的成果将通过编制信息材料和实际操作演示，向包括初中和高中学生在内的广大公众传播，目的是教育公众了解合成生物学的技术和潜在影响。 除了对工程合成调控系统的理解方面的进展外，可编程Rectorsphere技术对农业的可持续性具有广泛的影响。 特别是，这些技术可用于设计有益的现象，如农作物的固氮作用，这将取代目前农业生产中使用的石油基肥料。