TY - JOUR
T1 - Mathematical modeling of dormant cell formation in growing biofilm
AU - Chihara, Kotaro
AU - Matsumoto, Shinya
AU - Kagawa, Yuki
AU - Tsuneda, Satoshi
N1 - Publisher Copyright:
© 2015 Chihara, Matsumoto, Kagawa and Tsuneda.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Biofilm
KW - Dormancy
KW - Individual-based modeling
KW - Mathematical model
KW - Persistence
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U2 - 10.3389/fmicb.2015.00534
DO - 10.3389/fmicb.2015.00534
M3 - Article
AN - SCOPUS:84931263893
SN - 1664-302X
VL - 6
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
IS - MAY
M1 - 534
ER -