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EAGER: Collaborative Research: Integrating microtome sectioning with isotopic tracing to study biotransformation in synthetic Escherichia coli biofilms

EAGER: Collaborative Research: Integrating microtome sectioning with isotopic tracing to study biotransformation in synthetic Escherichia coli biofilms
EAGER:合作研究:将切片机切片与同位素示踪相结合,研究合成大肠杆菌生物膜的生物转化
批准号:
1700881
负责人:
Yinjie Tang
金额:
$3.25万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-01 至 2018-02-28

项目摘要

项目成果

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中文摘要
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英文摘要
1700881/1700935Tang/RenBiofilms are created by colonies of bacteria with polymeric substances produced by the cells. With a high-level of tolerance to a variety of stresses, biofilms cause serious problems in both industrial (biofouling and corrosion) and healthcare (persistent infections) settings. On the other hand, biofilms of environmentally friendly bacteria have promising applications in bioremediation and biofuel production. This project will develop a new method for investigating nutrient transport and enzyme activity of using Escherichia coli as a model organism.The PIs have extensive research experience in E. coli metabolic analysis and biofilm physiology. This team will develop and test a new biofilm study method by integrating several interdisciplinary approaches: 1) culture synthetic biofilms with controlled morphology to reduce spatial variation in gene expression and enzymatic functions; 2) use microtome sectioning to obtain thin slides of biofilm samples with cells in similar metabolic/nutrient transport status; and, 3) apply a stable isotopic labeling method (i.e., 13C-pulse) to trace nutrient mass transfer within biofilm layers as well as intracellular free metabolite conversions along functional pathways. The transient labeling in cascade metabolites can reveal the speed of substrate diffusion through biofilm layers as well as the rate of biotransformation into downstream intracellular metabolites. It can also determine these active biotransformation pathways important for biofilm survival and growth. Ultimately, the outcome of this exploratory project will be a new method for studying biofilm physiology (i.e., intracellular biotransformation) of diverse environmental microbes. This biofilm study technology will reveal regulatory mechanisms of biofilm growth and persistence under environmental stresses (e.g., antibiotic conditions); and it will improve our understandings of diverse biofilm systems from environmental microbes to pathogens. Specifically, Escherichia coli will be used as a model bacterium in this project with complementary studies outlined in the following Tasks: 1. Create synthetic biofilms with rigorously controlled morphology to reduce structural heterogeneity. 2. Optimize microtome technology to quench and sample free metabolites from different layers of biofilm cells, which can be analyzed via liquid chromatography-mass spectrometry. 3. Validate this new method by conducting 13C-pulse experiments with microtome sectioning and liquid chromatography-mass spectrometry analysis of cascade metabolites to determine glucose transfer and biotransformation rates across different layers of E. coli biofilm cells. This project will result in a new approach to section biofilms to detect metabolite biotransformation and probe the pathway function with desired spatial resolutions. The interdisciplinary nature of this work and the development of new tools outlined herein will build the foundation for advanced research and innovation to address many grand challenges associated with microbial biofilms at molecular level. It will provide new insights into nutrient transport and intracellular enzyme conversions within the biofilm matrix; and help reveal regulatory mechanisms and essential pathways for biofilm survival under diverse environmental conditions. Such insights can help researchers design more effective way to control biofilm physiologies.
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Transition: Metabolomics-driven understanding of rules that coordinate metabolic responses and adaptive evolution of synthetic biology chassis
  • 批准号:
    2320104
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2023
  • 负责人:
    Yinjie Tang
  • 依托单位:
URoL:EN: A non-parametric framework to understand emergent behaviors of microbial consortia
  • 批准号:
    2222403
  • 项目类别:
    Standard Grant
  • 资助金额:
    $294.63万
  • 财政年份:
    2022
  • 负责人:
    Yinjie Tang
  • 依托单位:
Development of a machine learning pipeline for assisting strain design of nonmodel yeasts
  • 批准号:
    2225809
  • 项目类别:
    Standard Grant
  • 资助金额:
    $94.33万
  • 财政年份:
    2022
  • 负责人:
    Yinjie Tang
  • 依托单位:
Collaborative Research: Productivity Prediction of Microbial Cell Factories using Machine Learning and Knowledge Engineering
  • 批准号:
    1616619
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.55万
  • 财政年份:
    2016
  • 负责人:
    Yinjie Tang
  • 依托单位:
海外基金