Decoding the Principles of Emergence and Resiliency in Biological Collective Systems - A Multi-scale Approach

Abstract

Microbial communities are known to display complex, collective behaviors. However, the underlying principles as to how these behaviors arise despite uncertainty in molecular and cellular components of the system remains unclear. Consequently, we examine the robustness of collective behaviors in microbial communities, using pattern formation of wild coliform bacteria as a model system. Many coliform bacteria naturally form complex dynamic patterns that arise from the combination of chemotaxis, nutrient degradation, and the exchange of amino acids between cells. Using both quantitative experimental methods and several theoretical frameworks, we dissect bacterial pattern formation at multiple scales, from the molecules to individual cells to self-organizing populations. By comparing pattern formation from multiple wild isolates, we attempt to identify universal principles that govern robust, collective behaviors in biological systems.

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Document Details

Document Type
Technical Report
Publication Date
Apr 16, 2018
Accession Number
AD1083003

Entities

People

  • Paul Bogdan

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cell Movement
  • Cells
  • Computational Science
  • Control Systems
  • Engineers
  • Health Services
  • Information Processing
  • Information Science
  • Mathematical Analysis
  • Mathematical Models
  • Medical Personnel
  • Operations Research
  • Self Organizing Systems
  • Synthetic Biology
  • Systems Biology
  • Systems Engineering

Fields of Study

  • Biology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • Biotechnology