Development of a high-resolution technique to monitor landfarm hydrocarbon biodegradative activity
开发监测陆地碳氢化合物生物降解活动的高分辨率技术
基本信息
- 批准号:522298-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Hydrocarbon contaminants, like heavy industrial oils, from human industrial activities are toxic to most**organisms. Thankfully microbial communities in soils contain bacterial and fungal members that produce**special enzymes to degrade these complex hydrocarbons. A "landfarm" is a managed plot of land used**specifically to exploit microbial activity for the rapid and safe degradation of hydrocarbons from industrial**activities. EVRAZ in Regina SK, requires an inexpensive, reliable, and high-resolution technique to monitor**the biodegradative activity in their landfarm. This will inform management practices and allow EVRAZ to**effectively promote microbial growth to accelerate the rates of remediation. Moreover, a well-functioning**landfarm provides EVRAZ with the capacity to remediate waste generated by other companies. Researchers at**the University of Regina are partnering with EVRAZ Inc. NA Canada to apply statistical modelling to identify**variables in land management that positively or negatively impact bioremediation capacity. Biological activity**in the landfarm soils will be monitored using genetic technologies that quantify the production of**biodegradative enzymes. Importantly, sampling has been designed with strict statistical experimental design to**ensure that biologically meaningful changes in enzyme expression can be detected and correlated to soil**management practices. Additionally, the use of cutting-edge genetic techniques will provide unprecedented**depth of insight into the microbial activities in the landfarm, allowing the university scientists to identify the**keystone bioremediating microbes and thus target diagnostic techniques for an inexpensive and rapid readout**of landfarm function.
来自人类工业活动的碳氢化合物污染物,如重油,对大多数生物是有毒的。幸运的是,土壤中的微生物群落含有细菌和真菌成员,它们能产生特殊的酶来降解这些复杂的碳氢化合物。“土地农场”是一块经过管理的土地,专门用于开发微生物活动,以快速安全地降解工业活动产生的碳氢化合物。俄罗斯里贾纳的EVRAZ项目需要一种廉价、可靠、高分辨率的技术来监测其农田中的生物降解活性。这将为管理实践提供信息,并允许EVRAZ **有效地促进微生物生长,以加快修复速度。此外,一个运作良好的**农场为EVRAZ提供了修复其他公司产生的废物的能力。里贾纳大学的研究人员正在与EVRAZ公司合作。加拿大将应用统计模型来确定土地管理中对生物修复能力产生积极或消极影响的变量。将利用基因技术对农田土壤中的生物活性**进行监测,从而量化**生物降解酶的产量。重要的是,采样采用了严格的统计实验设计,以确保酶表达的生物学意义变化可以被检测到,并与土壤管理实践相关联。此外,尖端基因技术的使用将提供前所未有的深入了解农田微生物活动的深度,使大学的科学家能够识别关键的生物修复微生物,从而针对诊断技术进行廉价和快速的农田功能读取。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Simpson, Gavin', 18)}}的其他基金
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Evaluating the prevalence of early warning signals in palaeoecological time series of state change
评估状态变化的古生态时间序列中预警信号的普遍程度
- 批准号:
RGPIN-2014-04032 - 财政年份:2014
- 资助金额:
$ 1.82万 - 项目类别:
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