Modeling spatiotemporal dynamics of bacterial populations.
Publication
, Journal Article
Song, H; You, L
Published in: Methods in molecular biology (Clifton, N.J.)
January 2012
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.
Duke Scholars
Published In
Methods in molecular biology (Clifton, N.J.)
DOI
EISSN
1940-6029
ISSN
1064-3745
Publication Date
January 2012
Volume
880
Start / End Page
243 / 254
Related Subject Headings
- Population Dynamics
- Models, Biological
- Ecosystem
- Developmental Biology
- Biodiversity
- Bacterial Physiological Phenomena
- Bacteria
- 3404 Medicinal and biomolecular chemistry
- 3101 Biochemistry and cell biology
- 0601 Biochemistry and Cell Biology
Citation
APA
Chicago
ICMJE
MLA
NLM
Song, H., & You, L. (2012). Modeling spatiotemporal dynamics of bacterial populations. Methods in Molecular Biology (Clifton, N.J.), 880, 243–254. https://doi.org/10.1007/978-1-61779-833-7_11
Song, Hao, and Lingchong You. “Modeling spatiotemporal dynamics of bacterial populations.” Methods in Molecular Biology (Clifton, N.J.) 880 (January 2012): 243–54. https://doi.org/10.1007/978-1-61779-833-7_11.
Song H, You L. Modeling spatiotemporal dynamics of bacterial populations. Methods in molecular biology (Clifton, NJ). 2012 Jan;880:243–54.
Song, Hao, and Lingchong You. “Modeling spatiotemporal dynamics of bacterial populations.” Methods in Molecular Biology (Clifton, N.J.), vol. 880, Jan. 2012, pp. 243–54. Epmc, doi:10.1007/978-1-61779-833-7_11.
Song H, You L. Modeling spatiotemporal dynamics of bacterial populations. Methods in molecular biology (Clifton, NJ). 2012 Jan;880:243–254.
Published In
Methods in molecular biology (Clifton, N.J.)
DOI
EISSN
1940-6029
ISSN
1064-3745
Publication Date
January 2012
Volume
880
Start / End Page
243 / 254
Related Subject Headings
- Population Dynamics
- Models, Biological
- Ecosystem
- Developmental Biology
- Biodiversity
- Bacterial Physiological Phenomena
- Bacteria
- 3404 Medicinal and biomolecular chemistry
- 3101 Biochemistry and cell biology
- 0601 Biochemistry and Cell Biology