Genomics of Cellulose Fermentation for Process Optimization

用于工艺优化的纤维素发酵基因组学

基本信息

  • 批准号:
    RGPIN-2016-05961
  • 负责人:
  • 金额:
    $ 2.04万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2016
  • 资助国家:
    加拿大
  • 起止时间:
    2016-01-01 至 2017-12-31
  • 项目状态:
    已结题

项目摘要

The use of biotechniology and microorganisms for production of value-added bioproducts is of great importance to industry. Chemical and process engineering methods are used to optimize growth of microorganisms and product yields. However, engineering approaches alone do not take into consideration the genomic basis of microbial metabolism and physiology. Deeper insight into how different growth conditions influence microbial metabolism and physiology may be obtained by understanding the relationships between genome content, gene and gene product expression, metabolic pathway utilization, and end-product synthesis patterns. The current NSERC Discovery grant seeks to understand how changes in process parameters influence microbial metabolism and physiology at the genomic level so that rational, evidence-based strategies for fermentation process optimization may be established. My research is multidisciplinary and applies the tools of genome science (bioinformatics, genomics, transcriptomics, and proteomics) to elucidate changes in gene and gene product expression levels in two model organisms that can utilize cellulose directly as a carbon source: the mesophilic bacterium Clostridium termiditis, and the thermophilic bacterium Clostridium thermocellum. These bacteria will be grown on cellulosic substrates in different types of reactions vessels (sealed tube or bottle reactors without pH control, versus open bioreactor systems with pH control), and with different fermentation processes (batch versus fed-batch versus semi-continuous-feed systems). The short-term objectives of the research are to: 1) investigate the efficiency of cellulose conversion by C. thermocellum and C. termiditis to cell mass and fermentation end-products in batch, fed-batch, and semi-continuous fermentation reactions; 2) identify the biosynthetic mechanisms associated with efficient fermentation systems using transcriptomics and proteomics; and 3) develop a model to predict fermentation end-product synthesis patterns using a mass-spectrometry-based, on-line monitoring system. This research will enable the development of scaled-up processes for direct conversion of cellulose to biofuels via consolidated bioprocessing by i) providing an approach to understanding the mechanisms of fermentation processes at the genomic level; ii) linking process engineering and end-product synthesis outcomes to genomic events; and iii) providing tools for online monitoring of complex fermentation reactions. Through my multidisciplinary research program, 3 PhD, 2 MSc, and 5 undergraduate students will acquire a range of skills that are essential to the growing industrial biotechnology sector of the Canadian economy.
利用生物技术和微生物生产具有附加值的生物产品对工业具有重要意义。化学和工艺工程方法用于优化微生物的生长和产品产量。然而,单独的工程方法没有考虑到微生物代谢和生理学的基因组基础。通过了解基因组内容、基因和基因产物表达、代谢途径利用和最终产物合成模式之间的关系,可以更深入地了解不同的生长条件如何影响微生物的代谢和生理。目前的NSERC发现资助旨在了解工艺参数的变化如何影响基因组水平上的微生物代谢和生理学,以便建立合理的,基于证据的发酵工艺优化策略。我的研究是多学科的,并应用基因组科学(生物信息学,基因组学,转录组学和蛋白质组学)的工具来阐明基因和基因产物表达水平的变化在两个模式生物,可以直接利用纤维素作为碳源:嗜温细菌Clostridium termiditis和嗜热细菌Clostridium thermocellum。这些细菌将在不同类型的反应容器(不具有pH控制的密封管或瓶反应器,相对于具有pH控制的开放式生物反应器系统)中的纤维素基质上生长,并且具有不同的发酵工艺(分批相对于补料分批相对于半连续补料系统)。本研究的近期目标是:1)考察C. thermocellum和C.在分批、补料分批和半连续发酵反应中,白蚁对细胞质量和发酵终产物的影响; 2)使用转录组学和蛋白质组学鉴定与有效发酵系统相关的生物合成机制;和3)使用基于质谱的在线监测系统开发预测发酵终产物合成模式的模型。这项研究将通过以下方式实现纤维素直接转化为生物燃料的放大工艺的开发:i)提供一种在基因组水平上理解发酵过程机制的方法; ii)将工艺工程和最终产品合成结果与基因组事件联系起来; iii)提供在线监测复杂发酵反应的工具。通过我的多学科研究计划,3名博士,2名硕士和5名本科生将获得一系列对加拿大经济不断增长的工业生物技术部门至关重要的技能。

项目成果

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Levin, David其他文献

A meta-analysis reveals that operational parameters influence levels of antibiotic resistance genes during anaerobic digestion of animal manures
  • DOI:
    10.1016/j.scitotenv.2021.152711
  • 发表时间:
    2022-01-03
  • 期刊:
  • 影响因子:
    9.8
  • 作者:
    Flores-Orozco, Daniel;Levin, David;Cicek, Nazim
  • 通讯作者:
    Cicek, Nazim
Cage-free local deformations using green coordinates
使用绿色坐标的无笼局部变形
  • DOI:
    10.1007/s00371-010-0438-x
  • 发表时间:
    2010-06
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Luo, Xiaonan;Levin, David;Li, Zheng;Deng, Zhengjie;Liu, Dingyuan
  • 通讯作者:
    Liu, Dingyuan
Between moving least-squares and moving least-l1
  • DOI:
    10.1007/s10543-014-0522-0
  • 发表时间:
    2015-09-01
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Levin, David
  • 通讯作者:
    Levin, David
One Simple Intervention Begets Another: Let's Get the Gestational Age Right First
  • DOI:
    10.1007/s10995-016-2003-3
  • 发表时间:
    2016-09-01
  • 期刊:
  • 影响因子:
    2.3
  • 作者:
    Levin, Julia;Gurau, David;Levin, David
  • 通讯作者:
    Levin, David
Effect of substrate loading on hydrogen production during anaerobic fermentation by Clostridium thermocellum 27405
  • DOI:
    10.1007/s00253-006-0316-7
  • 发表时间:
    2006-09-01
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Islam, Rumana;Cicek, Nazim;Levin, David
  • 通讯作者:
    Levin, David

Levin, David的其他文献

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{{ truncateString('Levin, David', 18)}}的其他基金

Big Data for Fast and Accurate Numerical Simulation of Mechanical Structures
大数据用于快速准确的机械结构数值模拟
  • 批准号:
    RGPIN-2017-05524
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Simulation-Driven Graphics and Fabrication
仿真驱动的图形和制造
  • 批准号:
    CRC-2021-00227
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Process 11 Twin-Screw Extruder for Advanced Polymer Blending
用于高级聚合物共混的 Process 11 双螺杆挤出机
  • 批准号:
    RTI-2023-00228
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Research Tools and Instruments
Bioengineering Next Generation Biopolymers
生物工程下一代生物聚合物
  • 批准号:
    RGPIN-2017-04945
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Simulation-Driven Graphics And Fabrication
仿真驱动的图形和制造
  • 批准号:
    CRC-2016-00078
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Big Data for Fast and Accurate Numerical Simulation of Mechanical Structures
大数据用于快速准确的机械结构数值模拟
  • 批准号:
    RGPIN-2017-05524
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Simulation-Driven Graphics and Fabrication
仿真驱动的图形和制造
  • 批准号:
    CRC-2016-00078
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Canada Research Chairs
Big Data for Fast and Accurate Numerical Simulation of Mechanical Structures
大数据用于快速准确的机械结构数值模拟
  • 批准号:
    RGPIN-2017-05524
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Bioengineering Next Generation Biopolymers
生物工程下一代生物聚合物
  • 批准号:
    RGPIN-2017-04945
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Big Data for Fast and Accurate Numerical Simulation of Mechanical Structures
大数据用于快速准确的机械结构数值模拟
  • 批准号:
    RGPIN-2017-05524
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual

相似国自然基金

LBL改性PCL-Cellulose纳米支架激活Kc细胞的Integrin-FAK信号通路机制研究
  • 批准号:
    81401597
  • 批准年份:
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    23.0 万元
  • 项目类别:
    青年科学基金项目

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Bioengineering approaches to high-solids cellulose fermentation for biofuel production
用于生物燃料生产的高固体纤维素发酵的生物工程方法
  • 批准号:
    138130-2011
  • 财政年份:
    2015
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Bioengineering approaches to high-solids cellulose fermentation for biofuel production
用于生物燃料生产的高固体纤维素发酵的生物工程方法
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  • 财政年份:
    2014
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利用纤维素水热溶解的液相同步糖化发酵工艺
  • 批准号:
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  • 财政年份:
    2013
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  • 财政年份:
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用于生物燃料生产的高固体纤维素发酵的生物工程方法
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  • 批准号:
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  • 财政年份:
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