Collaborative Research: Spatiotemporal Dynamics of Interacting Bacterial Communities in Compact Colonies
合作研究:紧密菌落中相互作用的细菌群落的时空动态
基本信息
- 批准号:2029574
- 负责人:
- 金额:$ 59.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-15 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Bacteria are the simplest and most abundant living organisms on our planet, and often exist as complex microbial communities in otherwise homogeneous environment. This project proposes to address the question of how bacterial communities survive, expand, and maintain their diversity. The main goals of this project are to: (1) uncover rules that generate and maintain the complex biochemical and mechanical environment inside growing bacterial colonies, which serve as the fountain that breeds both genetic and ecological diversity; and (2) produce a set of well-tested mathematical models and computational tools for investigating the interplay between activities of individual cells and the collective bacterial behaviors at the community level. The PIs will engage in a number of activities aimed at development of the next generation workforce trained at the intersection of mathematical and biological sciences including the development of a new undergraduate major in mathematical biology at UCSD, development of courses in mathematical biology at UCSD and Bucknell and the training of undergraduate and graduate students in this interdisciplinary area at all 3 collaborating institutions. A series of public lectures on mathematical biology will also be arranged in California State University - Long Beach, a large public university with 43% Hispanic/Latino students.This project will use a combination of experimentation and multiscale modeling to address the spatiotemporal dynamics of growing compact bacterial colonies on the air-agar interface. Non-extracellular matrix producing bacteria will be used as a simplified experimental system to address the interrelationship of mechanical properties and metabolism on bacterial grown. Cross feeding between multiple bacterial species will be used to explore the impact of bacterial diversity on colony growth. A discrete-continuum 3D simulation model will be developed in this project that will be able to integrate mechanical and metabolic interactions as well as its couple treatment of individual cells and with a continuum description of environmental factors. The results of this project should shed light on the rules that govern bacterial grown and diversity. In addition, the proposed research provides many opportunities and challenges in new mathematical studies on topics ranging from nonlinear partial differential equations, interface dynamics, multiscale modeling, and high performance scientific computing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
细菌是地球上最简单、最丰富的生物体,通常在同质环境中以复杂的微生物群落形式存在。该项目旨在解决细菌群落如何生存、扩展和保持多样性的问题。该项目的主要目标是:(1)揭示在生长的细菌菌落内产生和维持复杂的生化和机械环境的规则,这些环境是孕育遗传和生态多样性的源泉; (2)产生一套经过充分测试的数学模型和计算工具,用于研究单个细胞的活动与群落水平的集体细菌行为之间的相互作用。 PI 将参与一系列旨在培养在数学和生物科学交叉领域接受培训的下一代劳动力的活动,包括在加州大学圣地亚哥分校开发数学生物学新本科专业,在加州大学圣地亚哥分校和巴克内尔大学开发数学生物学课程以及在所有 3 个合作机构对这一跨学科领域的本科生和研究生进行培训。一系列关于数学生物学的公开讲座还将在加州州立大学长滩分校安排,这是一所拥有 43% 西班牙裔/拉丁裔学生的大型公立大学。该项目将结合实验和多尺度建模来解决生长的时空动态问题。空气琼脂界面上紧凑的细菌菌落。 产生非细胞外基质的细菌将被用作简化的实验系统,以解决细菌生长的机械特性和代谢的相互关系。将使用多种细菌物种之间的交叉喂养来探索细菌多样性对菌落生长的影响。该项目将开发一个离散连续体 3D 模拟模型,该模型将能够集成机械和代谢相互作用及其对单个细胞的耦合处理以及环境因素的连续描述。该项目的结果应该揭示控制细菌生长和多样性的规则。 此外,拟议的研究为非线性偏微分方程、界面动力学、多尺度建模和高性能科学计算等主题的新数学研究提供了许多机遇和挑战。该奖项反映了 NSF 的法定使命,并被认为值得通过以下方式支持:使用基金会的智力价值和更广泛的影响审查标准进行评估。
项目成果
期刊论文数量(1)
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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Bo Li其他文献
Wiener-filter-based Minimum Variance Self-tuning Regulation
基于维纳滤波器的最小方差自调节调节
- DOI:
10.1016/s0005-1098(97)00190-8 - 发表时间:
1996 - 期刊:
- 影响因子:0
- 作者:
R. Horowitz;Bo Li;James McCormick - 通讯作者:
James McCormick
Properties of photochlorinated graphene
光氯化石墨烯的特性
- DOI:
10.1109/nmdc.2011.6155366 - 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Di Wu;Bo Li;Lin Zhou;H. Peng;Kai Yan;Yu Zhou;Zhongfan Liu - 通讯作者:
Zhongfan Liu
An MMT based heterogeneous multimedia system using QUIC
使用QUIC的基于MMT的异构多媒体系统
- DOI:
10.1109/cciot.2016.7868318 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Bo Li;Chengzhi Wang;Yiling Xu;Zhan Ma - 通讯作者:
Zhan Ma
Formation mechanisms of solid in water in oil compound droplets in a horizontal T-junction device
水平T型连接装置中油包水复合液滴的形成机理
- DOI:
10.1016/j.ces.2017.10.049 - 发表时间:
2018-02 - 期刊:
- 影响因子:4.7
- 作者:
Dawei Pan;Meifang Liu;Fang Li;Qiang Chen;Xiangdong Liu;Yiyang Liu;Zhanwen Zhang;Weixing Huang;Bo Li - 通讯作者:
Bo Li
Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet
基于异常检测和SPP-PCANet的光学遥感图像船舶自动检测
- DOI:
10.3390/rs11010047 - 发表时间:
2018-12 - 期刊:
- 影响因子:5
- 作者:
Nan Wang;Bo Li;Yonghua Wang - 通讯作者:
Yonghua Wang
Bo Li的其他文献
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{{ truncateString('Bo Li', 18)}}的其他基金
ERI: Robust and Scalable Manufacturing of Ultra-Sensitive and Selective Molecule Sensor Arrays
ERI:稳健且可扩展的超灵敏和选择性分子传感器阵列制造
- 批准号:
2301668 - 财政年份:2024
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
Characterizing CmodAA-Containing Biosynthetic Pathways of Nonribosomal Peptides
表征非核糖体肽的含 CmodAA 生物合成途径
- 批准号:
2310177 - 财政年份:2023
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand
合作研究:NRI:机器人假手智能皮肤
- 批准号:
2221102 - 财政年份:2022
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
CAREER: DeepTrust: Enabling Robust Machine Learning with Exogenous Information
职业:DeepTrust:利用外源信息实现稳健的机器学习
- 批准号:
2046726 - 财政年份:2021
- 资助金额:
$ 59.27万 - 项目类别:
Continuing Grant
ATD: Statistical and Machine Learning Methods for Studying the Dynamics of Weather and Climate Extremes
ATD:研究天气和极端气候动态的统计和机器学习方法
- 批准号:
2124576 - 财政年份:2021
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
Sorting and Assembly of Nanomaterials on Polymer Substrates Using Fluidic and Weak Ultrasound Fields for Fabrication of Flexible Electronic Devices
使用流体和弱超声场在聚合物基底上分类和组装纳米材料以制造柔性电子器件
- 批准号:
2003077 - 财政年份:2020
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
AF: Small: Collaborative Research: Rigorous Approaches for Scalable Privacy-preserving Deep Learning
AF:小型:协作研究:可扩展的隐私保护深度学习的严格方法
- 批准号:
1910100 - 财政年份:2019
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
Travel Support for Student Participation at the 2018 ASME-IMECE Micro and Nano Technology Forum; Pittsburgh, PA, November 12-15, 2018
为学生参加2018年ASME-IMECE微纳米技术论坛提供差旅支持;
- 批准号:
1854005 - 财政年份:2018
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
ATD: Collaborative Research: Predicting the Threat of Vector-Borne Illnesses Using Spatiotemporal Weather Patterns
ATD:合作研究:利用时空天气模式预测媒介传播疾病的威胁
- 批准号:
1830312 - 财政年份:2018
- 资助金额:
$ 59.27万 - 项目类别:
Continuing Grant
An integrated experimental and computational study of erythrocyte adhesion mechanics in blood flows
血流中红细胞粘附力学的综合实验和计算研究
- 批准号:
1706295 - 财政年份:2017
- 资助金额:
$ 59.27万 - 项目类别:
Standard Grant
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