R, Anil
(2014)
A Computational Model to Predict Antibiotic Susceptibility of Pseudomonas Aeruginosa Biofilms.
Masters thesis, Indian Institute of Technology, Hyderabad.
Abstract
A Three dimensional cellular automata model to predict antibiotic susceptibility of Pseudomonas
aeruginosa biolms has been developed. This model integrates the process of substrate transport
and utilisation, biomass growth, biomass division and spreading, cell death and detachment, EPS
production, quorum sensing and antimicrobial drug administrational killing. There are dierent
mechanisms of antibiotic resistance of bacterial population in biolm mode of growth have been re-
ported such as, depletion of antimicrobial agents by reaction with biomass or physiological resistance
due to reduced bacterial growth in the biolm, etc.. Our model investigated the biolm susceptibil-
ity depending upon the growth rate of microbial population and concentration of antibiotic during
antimicrobial treatment. Bacterial growth rate eects on microbial mat resistance studied using
two dierent substrate concentrations 3 gm m-3 and 5 gm m-3. To study antibiotic concentration
dependent killing, Pseudomonas aeruginosa biolms were grown in 3 gm m-3 nutrient concentration
with three antimicrobial concentrations. Antibiotic agent concentration was varied from 0 gm m-3
to 10 gm m-3 to observe Pseudomonas aeruginosa biolms susceptibility. Antimicrobial therapy
was initiated at 40th hour of biolm simulation and continued for next 48 hours. Biolm developed
under low nutrient concentration treated with low concentration of antibiotic shows an extended life
cycle having a smoother and compact structure than untreated biolm matrix, while upon treat-
ment with high concentration of antibiotic, bacterial cell death happens for the same biolm. In
untreated biolm cell death starts at bottom core of the biolm whereas in treated biolms cell
death happens at top surface of the biolm. Biolm grown under high substrate concentration died
faster, forms a rougher surface whereas biolms grown under low substrate concentration retains
viable for prolonged time, forms very compact structure.
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