RESPONSES OF INDICATOR AND PATHOGENIC BACTERIA TO THE PRESENCE OF CARBARYL IN WATER

Biodegradability is a desirable, if not a necessary characteristic of pesticides. Carbaryl, as Sevin, is one of the more widely used insecticides for the control of agricultural pests and has been reported to be readily degraded by microorganisms. Because of its broad application, the concentration of Sevin in surface waters has been reported to reach nearly four parts per million (PPM) in surface waters, where it has been reported to affect the growth and metabolic rates of aquatic bacterial populations. Following these reports, it is of public health importance to determine the effects of this insecticide on the growth and metabolic rates of bacteria used to indicate water pollution, and on pathogenic organisms which are found in polluted water.^ This study was conducted to determine the effect of carbaryl on the growth and metabolic rates of indicator and pathogenic organisms. Escherichia coli and Streptococcus faecalis were used as indicators, while Staphylococcus aureus and Salmonella typhimurium were the pathogens studied. Pure and mixed cultures of these organisms were exposed to two concentrations of carbaryl (Sevin).^ The study demonstrated that the fecal pollution indicator organisms, E. coli and S. faecalis respond differently to the presence of small concentrations of carbaryl in water as do the two pathogens tested, (S. typhimurium and S. aureus). The growth of all test organisms as measured by spread plate counts, was reduced by the presence of either one mg/l or five mg/l carbaryl within a period of eight days. Survival of the organisms in the presence of five mg/l carbaryl varied dependent upon whether the organism was in pure or mixed culture. In the presence of five mg/l carbaryl, both pure and mixed culture of E. coli showed longer survival. S. faecalis survived for more than eight days in pure culture, neither S. typhimurium nor S. aureus survived for eight days in pure culture.^ The metabolic rate of S. faecalis and S. aureus was reduced by both five mg/l and one mg/l Sevin concentrations, contrary to E. coli and S. typhimurium which had reduced metabolic rate with the introduction of five mg/l Sevin but showed an increase in the metabolic rate with one mg/l Sevin. There was no difference between the test and control when mixed populations were exposed to five mg/l Sevin and the metabolic rate tested. A mixture of E. coli and S. typhimurium populations showed a respiration increase over the control when exposed to one mg/l Sevin concentration. If similar effects occur in polluted surface waters, misleading results from bacteriological water quality testing may occur. ^

Identification of the Causative Bacteria in Musculoskeletal Infections Using 16s rDNA - Denaturing Gradient Gel Electrophoresis Analysis

Musculoskeletal infections are infections of the bone and surrounding tissues. They are currently diagnosed based on culture analysis, which is the gold standard for pathogen identification. However, these clinical laboratory methods are frequently inadequate for the identification of the causative agents, because a large percentage (25-50%) of confirmed musculoskeletal infections are false negatives in which no pathogen is identified in culture. My data supports these results. The goal of this project was to use PCR amplification of a portion of the 16S rRNA gene to test an alternative approach for the identification of these pathogens and to assess the diversity of the bacteria involved. The advantages of this alternative method are that it should increase sample sensitivity and the speed of detection. In addition, bacteria that are non-culturable or in low abundance can be detected using this molecular technique. However, a complication of this approach is that the majority of musculoskeletal infections are polymicrobial, which prohibits direct identification from the infected tissue by DNA sequencing of the initial 16S rDNA amplification products. One way to solve this problem is to use denaturing gradient gel electrophoresis (DGGE) to separate the PCR products before DNA sequencing. Denaturing gradient gel electrophoresis (DGGE) separates DNA molecules based on their melting point, which is determined by their DNA sequence. This analytical technique allows a mixture of PCR products of the same length that electrophoreses through agarose gels as one band, to be separated into different bands and then used for DNA sequence analysis. In this way, the DGGE allows for the identification of individual bacterial species in polymicrobial-infected tissue, which is critical for improving clinical outcomes. By combining the 16S rDNA amplification and the DGGE techniques together, an alternative approach for identification has been used. The 16S rRNA gene PCR-DGGE method includes several critical steps: DNA extraction from tissue biopsies, amplification of the bacterial DNA, PCR product separation by DGGE, amplification of the gel-extracted DNA, and DNA sequencing and analysis. Each step of the method was optimized to increase its sensitivity and for rapid detection of the bacteria present in human tissue samples. The limit of detection for the DNA extraction from tissue was at least 20 Staphylococcus aureus cells and the limit of detection for PCR was at least 0.05 pg of template DNA. The conditions for DGGE electrophoreses were optimized by using a double gradient of acrylamide (6 – 10%) and denaturant (30-70%), which increased the separation between distinct PCR products. The use of GelRed (Biotium) improved the DNA visualization in the DGGE gel. To recover the DNA from the DGGE gels the gel slices were excised, shredded in a bead beater, and the DNA was allowed to diffuse into sterile water overnight. The use of primers containing specific linkers allowed the entire amplified PCR product to be sequenced and then analyzed. The optimized 16S rRNA gene PCR-DGGE method was used to analyze 50 tissue biopsy samples chosen randomly from our collection. The results were compared to those of the Memorial Hermann Hospital Clinical Microbiology Laboratory for the same samples. The molecular method was congruent for 10 of the 17 (59%) culture negative tissue samples. In 7 of the 17 (41%) culture negative the molecular method identified a bacterium. The molecular method was congruent with the culture identification for 7 of the 33 (21%) positive cultured tissue samples. However, in 8 of the 33 (24%) the molecular method identified more organisms. In 13 of the 15 (87%) polymicrobial cultured tissue samples the molecular method identified at least one organism that was also identified by culture techniques. Overall, the DGGE analysis of 16S rDNA is an effective method to identify bacteria not identified by culture analysis.