CAREER: Effects of nutrients on antibiotic resistance and antibiotic subsistence
CAREER: Effects of nutrients on antibiotic resistance and antibiotic subsistence
批准号:
1351676
负责人:
Xu Li
金额:
$40.0万
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:
2014-06-01 至 2020-09-30
中文摘要
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英文摘要
1351676LiMany people have become aware of the issue of pharmaceuticals in water and wastewater and natural waters. With the pharmaceutical market worldwide estimated to be $1 trillion dollars in 2015 and with an aging population (which uses more pharmaceuticals) and water and wastewater treatment plants never designed to deal with extremely low concentrations of highly biologically active compounds, the problem will likely get worse. One of the biggest, yet very subtle is the issue of antibiotic resistance in bacteria in natural waters.Antibiotic resistance constitutes a national and global public health threat. Evidence suggests that in addition to coming from hospitals, antibiotic resistant bacteria also emerge in the environment due to prolonged exposure to antibiotics originating in livestock and human wastes. On the other hand, many antibiotic resistant bacteria can subsist on antibiotics by using them as carbon and energy sources. Because nutrients influence microbial metabolisms and vary in quantity and composition across environmental compartments, they represent an important environmental factor that can affect antibiotic resistance and antibiotic subsistence in the environment. However, how nutrients affect the emergence of antibiotic resistance and the occurrence of antibiotic subsistence in microbial communities is poorly understood. The overall goal of this project is to build an integrated research and education/outreach program to minimize the negative impacts of antibiotics and antibiotic resistance to environmental and public health. The research goal of the project is to understand the interactions between antibiotics and microbial (bacterial) communities under various nutrient levels and types (i.e., labile vs. recalcitrant). The research approach will investigate the responses of bacteria to both nutrient starvation and antibiotic presence. The results of these studies will allow implementation in municipal and agricultural wastewater treatment to control the emergence and proliferation of antibiotic resistant bacteria. The proposed project will use a novel analytical tool, quantitative (meta)proteomics, which can offer new and valuable perspectives to environmental engineering studies. The use of quantitative (meta)proteomics in the mechanistic studies on antibiotic resistance and antibiotic subsistence will lay the groundwork for exploring further application of this novel technology in other environmental engineering fields such as exposure and biodegradation studies.One major source of antibiotics in the environment is livestock manure. The education goal of the project is to promote behavioral changes in livestock producers on antibiotic administration and manure management and to educate a new generation of environmental engineers specializing in solving agriculture-related environmental challenges. This will be accomplished by:1.) Raising the awareness of antibiotics and antibiotic resistance as environmental contaminants among livestock producers through outreach and education activities2.) Develop an integrated course module to stimulate interest in environmental science among high school students in rural areas, and,3.) Encourage rural students to pursue a graduate degree in environmental engineering
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Predicting antibiotic resistance gene abundance in activated sludge using shotgun metagenomics and machine learning
使用鸟枪宏基因组学和机器学习预测活性污泥中抗生素抗性基因的丰度
DOI:
10.1016/j.watres.2021.117384
发表时间:
2021
期刊:
Water Research
影响因子:
12.8
作者:
[Sun, Yuepeng, Clarke, Bertrand, Clarke, Jennifer, Li, Xu]
通讯作者:
Li, Xu
Antibiotic Resistance Genes in the Soil-Plant Ecosystem
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批准号:1805990
-
项目类别:Standard Grant
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资助金额:$33.0万
-
财政年份:2018
-
负责人:Xu Li
-
依托单位:
Multidimensional compressive sensing based technologies for next-generation MIMO radar with SL3: Super-resolution, Low-complexity, Low-cost and Low-consumption
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批准号:15K06072
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$3.24万
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财政年份:2015
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负责人:Xu Li
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依托单位:
国内基金
海外基金
Dynamic Credit Rating with Feedback Effects
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批准号:--
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:Christian Martin Hilpert
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依托单位:
水环境中新兴污染物类抗生素效应(Like-Antibiotic Effects,L-AE)作用机制研究
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批准号:21477024
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项目类别:面上项目
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资助金额:86.0万元
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批准年份:2014
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负责人:李丹
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依托单位: