Characterization of bacterial populations of 2,4,6-trinitrotoluene (TNT) contaminated soils and isolation of a Pseudomonas aeruginosa strain with TNT denitration activities
2,4,6-trinitrotoluene (TNT) is a toxic and recalcitrant pollutant contaminating soils and groundwater. Therefore, characterization of microbial populations of TNT-contaminated soils and isolation of bacteria degrading this pollutant are of primordial importance. Comparison of hybridizations of 16S rRNA derived from uncontaminated and TNT-contaminated soil samples required the development of a functional ANOVA model. Specifically, a statistical tool was necessary to compare dissociation curves obtained from thermal dissociation analysis of RNA hybridizations to DNA microarrays, and to determine if the dissociation curves significantly differed. To test and validate the model, we used dissociation curves from in vitro transcribed 16S rRNA amplified from two environmental samples hybridized to a phylogenetic microarray. Detection and rejection of outlier curves was important for appropriate discrimination between curves. The identification of significantly different curves was more efficient with the model than approaches relying on measurements at a single temperature. This functional ANOVA analysis was used to improve discrimination between hybridizations of two soil microbial communities. Following hybridization of in vitro transcribed 16S rRNA derived from an uncontaminated and a TNT-contaminated soil sample to an oligonucleotide microarray containing group- and species-specific perfect match (PM) probes and mismatch (MM) variants, thermal dissociation was used to analyze the nucleic acid bound to each PM-MM probe set. Functional ANOVA of the dissociation curves generally discriminated PM-MM probe sets when values of Td (temperature at 50% probe-target dissociation) could not. Maximum discrimination for many PM and MM probes often occurred at temperatures greater than Td. Comparison of signal intensities measured prior to dissociation analysis from hybridizations of the two soil samples revealed significant differences in domain-, group-, and species-specific probes. Functional ANOVA showed significantly different dissociation curves for 11 PM probes when hybridizations from the two soil samples were compared, even though initial signal intensities for 3 of the 11 did not vary. These differences in hybridizations between the two soil samples were likely the result from the presence of TNT. The effect of TNT on soil microbial communities was further investigated with additional uncontaminated and TNT-contaminated soil samples using 16S rRNA PCR-DGGE and cultivation-dependent techniques. In all contaminated soil samples, the amount of DNA extracted was lower than in the uncontaminated ones. Analysis of bacterial diversity by DGGE showed a predominance of Pseudomonadaceae and Xanthomonadaceae in the TNT-contaminated soil samples compared to the uncontaminated ones. Caulobacteraceae were also present in several contaminated soil samples. The culturable microflora of these soils was studied by plate counts on agar supplemented with dilute nutrient broth. The number of CFUs was lower in a TNT-contaminated soil inoculum than in an uncontaminated one. In the former, most of the CFUs belonged to Pseudomonadaceae, and to a lesser extent, to Caulobacteraceae. In addition to the above contaminated soil samples, a pristine soil was artificially contaminated with different concentrations of TNT and incubated for 4 months.
Eyers, L. (2007). Characterization of bacterial populations of 2,4,6-trinitrotoluene (TNT) contaminated soils and isolation of a Pseudomonas aeruginosa strain with TNT denitration activities. https://hdl.handle.net/2078.5/128533