Literature DB >> 18623250

Quantitative analysis of biofilm thickness variability.

R Murga1, P S Stewart, D Daly.   

Abstract

The thickness variability of biofilms of Pseudomonas aeruginosa, Klebsiella pneumoniae, and the binary population combination of these two species was quantified. The experimental method involved cryoembedding biofilms with a commercial tissue embedding agent, sectioning, and applying image analysis to construct thickness profiles along linear transects (up to 1 cm in length) across the substratum. Biofilms embedded and sectioned by this method were locally as thin as a single cell attached to the surface (<5 microm) and as thick as 1000 microm. Week-old biofilms of three different species compositions displayed distinct structural features as indicated by their mean thicknesses and by a roughness coefficient. Monopopulation biofilms of P. aeruginosa (29 microm mean thickness) or K. pneumoniae (100 microm mean thickness) were thinner than the binary population biofilm (400 microm mean thickness). A roughness coefficient developed in this investigation corroborated the qualitative visual characterization of P. aeruginosa biofilms as relatively uniformly thick (mean roughness coefficient 0.15), K. pneumoniae biofilms as patchy (mean roughness coefficient 1.14), and the binary population biofilm as intermediate (mean roughness coefficient 0.26). Whereas P. aeruginosa and binary population biofilms covered the substratum completely, significant areas of essentially bare substratum were apparent in K. pneumoniae biofilms. The patchiness of K. pneumoniae biofilms may be due to the fact that this organism is nonmotile. A spatial correlation analysis of the thickness data indicated that thickness measurements were still correlated even when separated by distances that exceeded the mean biofilm thickness. Cell aggregates, some of them hundreds of microns in size, were observed in the effluent of K. pneumoniae and binary population biofilm reactors. Measurements of thickness variability and other observations reported in this article provide a quantitative basis for analysis of microscale structural heterogeneity of biofilms.

Entities:  

Year:  1995        PMID: 18623250     DOI: 10.1002/bit.260450607

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  23 in total

1.  Physical morphology and surface properties of unsaturated Pseudomonas putida biofilms.

Authors:  I D Auerbach; C Sorensen; H G Hansma; P A Holden
Journal:  J Bacteriol       Date:  2000-07       Impact factor: 3.490

2.  Effects of current velocity on the nascent architecture of stream microbial biofilms.

Authors:  Tom J Battin; Louis A Kaplan; J Denis Newbold; Xianhao Cheng; Claude Hansen
Journal:  Appl Environ Microbiol       Date:  2003-09       Impact factor: 4.792

Review 3.  Bacterial Contribution in Chronicity of Wounds.

Authors:  Kashif Rahim; Shamim Saleha; Xudong Zhu; Liang Huo; Abdul Basit; Octavio Luiz Franco
Journal:  Microb Ecol       Date:  2016-10-14       Impact factor: 4.552

4.  Statistical analysis of Pseudomonas aeruginosa biofilm development: impact of mutations in genes involved in twitching motility, cell-to-cell signaling, and stationary-phase sigma factor expression.

Authors:  Arne Heydorn; Bjarne Ersbøll; Junichi Kato; Morten Hentzer; Matthew R Parsek; Tim Tolker-Nielsen; Michael Givskov; Søren Molin
Journal:  Appl Environ Microbiol       Date:  2002-04       Impact factor: 4.792

5.  Conceptual Model of Biofilm Antibiotic Tolerance That Integrates Phenomena of Diffusion, Metabolism, Gene Expression, and Physiology.

Authors:  Philip S Stewart; Ben White; Laura Boegli; Timothy Hamerly; Kerry S Williamson; Michael J Franklin; Brian Bothner; Garth A James; Steve Fisher; Francisco G Vital-Lopez; Anders Wallqvist
Journal:  J Bacteriol       Date:  2019-10-21       Impact factor: 3.490

6.  Spatial patterns of alkaline phosphatase expression within bacterial colonies and biofilms in response to phosphate starvation.

Authors:  C T Huang; K D Xu; G A McFeters; P S Stewart
Journal:  Appl Environ Microbiol       Date:  1998-04       Impact factor: 4.792

Review 7.  The biofilm life cycle: expanding the conceptual model of biofilm formation.

Authors:  Karin Sauer; Paul Stoodley; Darla M Goeres; Luanne Hall-Stoodley; Mette Burmølle; Philip S Stewart; Thomas Bjarnsholt
Journal:  Nat Rev Microbiol       Date:  2022-08-03       Impact factor: 78.297

8.  R-based method for quantitative analysis of biofilm thickness by using confocal laser scanning microscopy.

Authors:  Hanna Marianne Frühauf; Markus Stöckl; Dirk Holtmann
Journal:  Eng Life Sci       Date:  2022-04-11       Impact factor: 3.405

9.  Toward automated analysis of biofilm architecture: bias caused by extraneous confocal laser scanning microscopy images.

Authors:  Robin T Merod; Jennifer E Warren; Hope McCaslin; Stefan Wuertz
Journal:  Appl Environ Microbiol       Date:  2007-06-01       Impact factor: 4.792

10.  Structural and mechanical characterization of biofilm-associated bacterial polymer in the emulsification of petroleum hydrocarbon.

Authors:  Surajit Das
Journal:  3 Biotech       Date:  2021-04-25       Impact factor: 2.406

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.