Modeling spatiotemporal dynamics of bacterial populations.

Published

Journal Article (Review)

Quantitative modeling of spatiotemporal dynamics of cells facilitates understanding and engineering of biological systems. Using a synthetic bacterial ecosystem as a workbench, we present the approach to mathematically simulate the spatiotemporal population dynamics of the ecosystem. A description of ecosystem's genetic construction and model development is firstly given. Parameter estimation and computational approach for the derived partial differential equations (PDEs) are then given. Spatiotemporal pattern formation is computed by numerically solving the PDE model. Biodiversity of the ecosystem and its impacts by cellular seeding distance and motility are computed according to the cell distribution patterns.

Full Text

Duke Authors

Cited Authors

  • Song, H; You, L

Published Date

  • January 2012

Published In

Volume / Issue

  • 880 /

Start / End Page

  • 243 - 254

PubMed ID

  • 23361988

Pubmed Central ID

  • 23361988

Electronic International Standard Serial Number (EISSN)

  • 1940-6029

International Standard Serial Number (ISSN)

  • 1064-3745

Digital Object Identifier (DOI)

  • 10.1007/978-1-61779-833-7_11

Language

  • eng