Affiliation:
1. School of Dentistry, the University of Queensland, Brisbane, Queensland 4006, Australia
2. Faculty of Dentistry, University of Hong Kong, 34 Hospital Road, Hong Kong
3. Graduate Research School, Curtin University, Perth, Western Australia 6845, Australia
Abstract
Abstract
We hypothesized that the initial events leading to biofilm formation by bacteria, in general, are predominantly mediated by cell surface physicochemical interactions, and that natural products can impact the process by altering cell surface physicochemical properties. We exemplified this phenomenon using Actinomyces naeslundii as the model organism, and using tea products to modify its cell surface physicochemical properties. To test the hypothesis, a non-linear multiple regression model incorporating a normal distribution curve was constructed to explain the impact of tea extracts on the physiochemical processes of biofilm formation by A. naeslundii. The model utilized tea extract-induced changes in cell surface physicochemical properties as independent variables, and the corresponding biofilm formation as a dependent variable. Five different tea extracts were used to treat A. naeslundii, and their impact on the cell surface hydrophobicity, charge, auto-aggregation, attachment and biofilm formation on four different hard surfaces were measured and the data were used to construct the model. The established model was then tested in independent experiments involving other plant extracts and purified phytochemicals. Experimental results showed that the tea extracts significantly reduced cell surface hydrophobicity (by up to 21.3%), increased cell surface charge and auto-aggregation (by up to 4.5 mV and 14.9%, respectively), inhibited attachment (by 0.6–2.5 log CFU cm−2) and affected biofilm formation (by up to 0.6 log CFU cm−2). The model indicated that both cell surface hydrophobicity and charge played an important role in bacterial auto-aggregation and attachment, and that the latter two phenomena significantly correlated with subsequent biofilm development. The accuracy of the model construct was approximately 64%. This modelling approach can be employed for other microbial colonization systems to predict biofilm formation, and to study the impact of cell surface physicochemical properties in biofilm development.
Publisher
Oxford University Press (OUP)
Subject
Applied Microbiology and Biotechnology,Ecology,Microbiology
Cited by
9 articles.
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