A flexible mathematical model platform for studying branching networks: experimentally validated using the model actinomycete, Streptomyces coelicolor

Leena Kaija Linnea Nieminen, Steven Webb, Maggie Smith, Paul Hoskisson

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Branching networks are ubiquitous in nature and their growth often responds to environmental cues dynamically. Using the antibiotic-producing soil bacterium Streptomyces as a model we have developed a flexible mathematical model platform for the study of branched biological networks. Streptomyces form large aggregates in liquid culture that can impair industrial antibiotic fermentations. Understanding the features of these could aid improvement of such processes. The model requires relatively few experimental values for parameterisation, yet delivers realistic simulations of Streptomyces pellet and is able to predict features, such as the density of hyphae, the number of growing tips and the location of antibiotic production within a pellet in response to pellet size and external nutrient supply. The model is scalable and will find utility in a range of branched biological networks such as angiogenesis, plant root growth and fungal hyphal networks.
LanguageEnglish
Article number e54316
JournalPLoS One
Volume8
Issue number2
DOIs
Publication statusPublished - 18 Feb 2013

Fingerprint

Streptomyces coelicolor
Actinobacteria
Streptomyces
pellets
branching
Theoretical Models
mathematical models
antibiotics
Mathematical models
Anti-Bacterial Agents
Plant Roots
Hyphae
soil bacteria
Growth
angiogenesis
Parameterization
Fermentation
hyphae
Nutrients
Cues

Keywords

  • streptomyces
  • soil bacterium
  • flexible mathematical model platform
  • branching networks
  • model
  • streptomyces
  • actinomycete
  • coelicolor

Cite this

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A flexible mathematical model platform for studying branching networks : experimentally validated using the model actinomycete, Streptomyces coelicolor. / Nieminen, Leena Kaija Linnea; Webb, Steven; Smith, Maggie; Hoskisson, Paul.

In: PLoS One, Vol. 8, No. 2, e54316, 18.02.2013.

Research output: Contribution to journalArticle

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