Characterization of bacteria in mixed biofilm communities using denaturing gradient gel electrophoresis (DGGE)

Identification of Periopathogenes from Dental Plaque in Periodontal Patients with PCR Technique and Their Association with Composite Interleukin-1 Genotype

INTRODUCTION

The present study aimed to assess the presence of main types of microorganisms involved in the aetiopathogenesis of chronic periodontitis with PCR technique and determinates the presence of composite IL-1 genotype and their associations with founded bacteria.

MATERIAL AND METHOD

The examined group was consisted from 20 subjects with diagnosed chronic periodontitis and 20 healthy control without periodontitis. Clinical parameters like gingival index (GI), plaque index (PI), bleeding on probing (BOP), periodontal pocket depth (PPD) and clinical attachment lost (CAL) were determinates. Subgingival dental plaque was collected using a sterilized paper point. We used Parodontose Plus test, reverse hybridization kit, for the detection of periodontal marker bacteria, as well as for the detection of composite Interleukin -1 Genotype Results: The most present bacterial species detected from subgingival dental plaque was Treponema denticola and Porfiromonas gingivalis which was present in 65% of examined patients. In relation to the presence of positive genotype in patients, there was no significant difference between the test and control group for p> 0.05 (p = 1.00). For χ2=8,17 (p=0,06, p<0,05) there is an association between Prevotella intermedia, and composite genotype. Between positive genotype and analyzed bacterial species A. actinomycetem comitans for p> 0.05 (p = 1.00), P. gingivalis for p> 0.05 (p = 0.16), T. Forsythia for p> 0.05 (p = 0.20), T. Denticola for p> 0.05 (p = 0.64) no association was found.

CONCLUSION

This investigations confirmed the strong association of these five examined periopathogenes with periodontitis.

Characterization of Aquatic Biofilms with Flow Cytometry

Biofilms are dynamic consortia of microorganism that play a key role in freshwater ecosystems. By changing their community structure, biofilms respond quickly to environmental changes and can be thus used as indicators of water quality. Currently, biofilm assessment is mostly based on integrative and functional endpoints, such as photosynthetic or respiratory activity, which do not provide information on the biofilm community structure. Flow cytometry and computational visualization offer an alternative, sensitive, and easy-to-use method for assessment of the community composition, particularly of the photoautotrophic part of freshwater biofilms. It requires only basic sample preparation, after which the entire sample is run through the flow cytometer. The single-cell optical and fluorescent information is used for computational visualization and biological interpretation. Its main advantages over other methods are the speed of analysis and the high-information-content nature. Flow cytometry provides information on several cellular and biofilm traits in a single measurement: particle size, density, pigment content, abiotic content in the biofilm, and coarse taxonomic information. However, it does not provide information on biofilm composition on the species level. We see high potential in the use of the method for environmental monitoring of aquatic ecosystems and as an initial biofilm evaluation step that informs downstream detailed investigations by complementary and more detailed methods.

Analysis of the distribution of bacteria within urinary catheter biofilms using four different molecular techniques

BACKGROUND

Most nosocomial urinary tract infections are associated with the long-term use of urinary catheters. Such urinary catheter-associated infections are caused by bacteria that reside in biofilms. We determined the distribution of fastidious/nonculturable bacteria in biofilm of urinary catheters and evaluated the availability of concurrent applying various molecular techniques.

METHODS

The biofilms were isolated from urinary catheters that had been installed in patients for 3 or 4 weeks and examined by the following 4 different 16S ribosomal RNA (rRNA) analysis techniques: capillary electrophoresis, terminal restriction fragment length polymorphism (T-RFLP), denaturing gradient gel electrophoresis (DGGE), and pyrosequencing.

RESULTS

A total of 329 isolates was identified by capillary electrophoresis. The most common genera were Edwardsiella, Enterobacter, Escherichia, and Pseudomonas. A total of 32 bacterial strains was identified by T-RFLP. Escherichia, Pseudomonas, Enterobacter, Moraxella, Proteus, Serratia, and Yersinia were the most represented genera. Similarly, Escherichia, Pseudomonas, and Enterobacter were the most prevalent according to DGGE. Burkholderia, Corynebacterium, Achromobacter, Alcaligenes, Citrobacter, Stenotrophomonas, and Streptococcus were also detected. Escherichia and Pseudomonas were abundantly detected by pyrosequencing. Enterobacter, Bacteroides, Klebsiella, Corynebacterium were also seen.

CONCLUSION

These 4 techniques detected different kinds of bacteria, suggesting that the simultaneous application of multiple techniques is necessary to accurately detect fastidious/nonculturable bacteria. Because bacterial growth within urinary catheter biofilms may be associated with urinary tract infections, further comprehensive studies are required.