课题基金 / 基金详情

Sandpit: The Programmable Rhizosphere

Sandpit: The Programmable Rhizosphere
沙坑:可编程根际
批准号:
EP/H019162/1
负责人:
James Haseloff
金额:
$123.97万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2009
资助国家:
英国
项目状态:
已结题
起止时间:
2009 至 --

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中文摘要
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英文摘要
Humans have striven for centuries to control and exploit living organisms for their own purposes. Agricultural practices have been developed to maximise the yield of plants and animals. More recently, microbial systems have been manipulated to increase their utility in the food, biotech and brewing industries. Many of these changes have been achieved through breeding and chance selection for improved agronomic characters. Recent developments in genetic engineering have allowed scientists to apply precise perturbations that lead to beneficial changes in an organism. However, the complexity of biological systems makes it difficult to manually design and implement large changes that predictably produce an intended phenotype using conventional genetic engineering techniques. Our ability to synthesise DNA far outstrips our ability to design new genetic systems. Synthetic Biology holds the promise of rational design and reproducible fabrication of biological circuits that can be used to introduce a desired function in an organism. One of the main premises of this approach is that engineering principles should be applied to the design of modular circuits from well-characterized parts and components, using defined composition rules. A framework that enables this approach to the engineering of biology has, to date, been lacking. In this project, we propose to develop such a framework, and a unique library of new DNA parts. Specifically, we propose to tackle the problem of how cellular circuits in organisms (such as microbes and plants) can be designed in to self-organise and interact with other organisms in a predictable and robust fashion. To this end we will develop novel mathematical and computational approaches that automatically transform a quantitative description of a desired function into a circuit design that implements this function in bacteria. In addition we will generate a collection of DNA parts that will allow the construction of new channels of communication between different cell populations or organisms, and the pathways for symbiotic exchange of nutrients. There are many situations where improvements in the ability to regulate cells, and to form stable new ecologies, would be of benefit to humans. These range from applications in tissue engineering through to bioremediation, biotechnology and bioenergy. In this project we have chosen to focus on the relationship between plants and soil bacteria that normally live alongside the root system. We wish to engineer communication between a model bacterium and model plant, to allow negotiation and establishment of a new symbiotic relationship. The system would have many applications for improvements in sustainable agriculture, bioproduction and food security, such as improvements in soil use, pest resistance, weed suppression and creation of new crop plants capable of nitrogen fixation.
期刊论文(10)
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会议论文
BacillusRegNet: a transcriptional regulation database and analysis platform for Bacillus species.
BacillusRegNet:芽孢杆菌属转录调控数据库和分析平台。
DOI: 10.2390/biecoll-jib-2014-244
发表时间: 2014
期刊: Journal of integrative bioinformatics
影响因子: 1.9
作者: [Misirli G]
通讯作者: Misirli G
Computational modeling of synthetic microbial biofilms
合成微生物生物膜的计算模型
DOI: 10.1021/sb30003
发表时间: 2012
期刊: ACS Synthetic Biology
影响因子: 4.7
作者: [Rudge T.J.]
通讯作者: Rudge T.J.
DOI: 10.15252/msb.20156590
发表时间: 2016-01-25
期刊: Molecular systems biology
影响因子: 9.9
作者: [Grant PK, Dalchau N, Brown JR, Federici F, Rudge TJ, Yordanov B, Patange O, Phillips A, Haseloff J]
通讯作者: Haseloff J
DOI: 10.1093/bioinformatics/btv660
发表时间: 2016-03-15
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: [Misirli G, Cavaliere M, Waites W, Pocock M, Madsen C, Gilfellon O, Honorato-Zimmer R, Zuliani P, Danos V, Wipat A]
通讯作者: Wipat A
OpenBioMAPS: shared tools for accelerating UK bio-manufacturing
  • 批准号:
    BB/Y007808/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $129.39万
  • 财政年份:
    2024
  • 负责人:
    James Haseloff
  • 依托单位:
Mapping genetic and cellular interactions during growth of a simple plant system
  • 批准号:
    BB/T007117/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $72.32万
  • 财政年份:
    2020
  • 负责人:
    James Haseloff
  • 依托单位:
OpenPlant
  • 批准号:
    BB/L014130/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $1785.31万
  • 财政年份:
    2014
  • 负责人:
    James Haseloff
  • 依托单位:
Confocal Microscopy Facility
  • 批准号:
    BB/F011458/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $28.73万
  • 财政年份:
    2009
  • 负责人:
    James Haseloff
  • 依托单位:
海外基金