Unknown

Dataset Information

0

Mathematical modeling of dormant cell formation in growing biofilm.


ABSTRACT: Understanding the dynamics of dormant cells in microbial biofilms, in which the bacteria are embedded in extracellular matrix, is important for developing successful antibiotic therapies against pathogenic bacteria. Although some of the molecular mechanisms leading to bacterial persistence have been speculated in planktonic bacterial cell, how dormant cells emerge in the biofilms of pathogenic bacteria such as Pseudomonas aeruginosa remains unclear. The present study proposes four hypotheses of dormant cell formation; stochastic process, nutrient-dependent, oxygen-dependent, and time-dependent processes. These hypotheses were implemented into a three-dimensional individual-based model of biofilm formation. Numerical simulations of the different mechanisms yielded qualitatively different spatiotemporal distributions of dormant cells in the growing biofilm. Based on these simulation results, we discuss what kinds of experimental studies are effective for discriminating dormant cell formation mechanisms in biofilms.

SUBMITTER: Chihara K 

PROVIDER: S-EPMC4446547 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

altmetric image

Publications

Mathematical modeling of dormant cell formation in growing biofilm.

Chihara Kotaro K   Matsumoto Shinya S   Kagawa Yuki Y   Tsuneda Satoshi S  

Frontiers in microbiology 20150528


Understanding the dynamics of dormant cells in microbial biofilms, in which the bacteria are embedded in extracellular matrix, is important for developing successful antibiotic therapies against pathogenic bacteria. Although some of the molecular mechanisms leading to bacterial persistence have been speculated in planktonic bacterial cell, how dormant cells emerge in the biofilms of pathogenic bacteria such as Pseudomonas aeruginosa remains unclear. The present study proposes four hypotheses of  ...[more]

Similar Datasets

2016-03-16 | E-GEOD-79208 | biostudies-arrayexpress
2016-03-16 | GSE79208 | GEO
| S-EPMC2408971 | biostudies-literature
| S-EPMC6579737 | biostudies-literature
| S-EPMC7775403 | biostudies-literature
| S-EPMC2905126 | biostudies-literature
| S-EPMC7827392 | biostudies-literature
| S-EPMC3798466 | biostudies-literature
| S-EPMC2671592 | biostudies-literature
| S-EPMC2729736 | biostudies-other