Detection and quantification of copper-denitrifying bacteria by quantitative competitive PCR.

We developed a quantitative competitive PCR (QC-PCR) system to detect and quantify copper-denitrifying bacteria in environmental samples. The primers were specific to copper-dependent nitrite reductase gene (nirK). We were able to detect about 200 copeis of nirK in the presence of abundant non-specific target DNA and about 1.2 x 10(3)Pseudomonas sp. G-179 cells from one gram of sterilized soil by PCR amplification. A 312-bp nirK internal standard (IS) was constructed, which showed very similar amplification efficiency with the target nirKfragment (349 bp) over 4 orders of magnitude (10(3)-10(6)). The accuracy of this system was evaluated by quantifying various known amount of nirK DNA. The linear regressions were obtained with a R(2) of 0.9867 for 10(3)copies of nirK, 0.9917 for 10(4) copies of nirK, 0.9899 for 10(5) copies of nirK and 0.9846 for 10(6) copies of nirK. A high correlation between measured nirK and calculated nirK (slope of 1.0398, R(2)=0.9992) demonstrated that an accurate measurement could be achieved with this system. Using this method, we quantified nirK in several A-horizon and stream sediment samples from eastern Tennessee. In general, the abundance of nirK was in the range of 10(8)-10(9) copies g soil(-1) dry weight. The nirK content in the soil samples appeared correlated with NH(4)(N) content in the soil. The activities of copper-denitrifying bacteria were evaluated by quantifying cDNA of nirK. In most of sample examined, the content of nirK cDNA was less than 10(5) copies g soil(-1) dry weight. Higher nirK cDNA content (>10(6) copies g soil(-1) dry weight) was detected from both sediment samples at Rattlebox Creek and the Walker Branch West Ridge. Although the stream sediment samples at the Walker Branch West Ridge contained less half of the nirK gene content as compared to A-horizon sample, the activities of copper-denitrifying bacteria were almost 600 times higher than in the A-horizon sample.

Simultaneous recovery of RNA and DNA from soils and sediments.

Recovery of mRNA from environmental samples for measurement of in situ metabolic activities is a significant challenge. A robust, simple, rapid, and effective method was developed for simultaneous recovery of both RNA and DNA from soils of diverse composition by adapting our previous grinding-based cell lysis method (Zhou et al., Appl. Environ. Microbiol. 62:316-322, 1996) for DNA extraction. One of the key differences is that the samples are ground in a denaturing solution at a temperature below 0 degrees C to inactivate nuclease activity. Two different methods were evaluated for separating RNA from DNA. Among the methods examined for RNA purification, anion exchange resin gave the best results in terms of RNA integrity, yield, and purity. With the optimized protocol, intact RNA and high-molecular-weight DNA were simultaneously recovered from 19 soil and stream sediment samples of diverse composition. The RNA yield from these samples ranged from 1.4 to 56 microg g of soil(-1) dry weight), whereas the DNA yield ranged from 23 to 435 microg g(-1). In addition, studies with the same soil sample showed that the DNA yield was, on average, 40% higher than that in our previous procedure and 68% higher than that in a commercial bead milling method. For the majority of the samples, the DNA and RNA recovered were of sufficient purity for nuclease digestion, microarray hybridization, and PCR or reverse transcription-PCR amplification.

Development and evaluation of functional gene arrays for detection of selected genes in the environment.

To determine the potential of DNA array technology for assessing functional gene diversity and distribution, a prototype microarray was constructed with genes involved in nitrogen cycling: nitrite reductase (nirS and nirK) genes, ammonia mono-oxygenase (amoA) genes, and methane mono-oxygenase (pmoA) genes from pure cultures and those cloned from marine sediments. In experiments using glass slide microarrays, genes possessing less than 80 to 85% sequence identity were differentiated under hybridization conditions of high stringency (65 degrees C). The detection limit for nirS genes was approximately 1 ng of pure genomic DNA and 25 ng of soil community DNA using our optimized protocol. A linear quantitative relationship (r(2) = 0.89 to 0.94) was observed between signal intensity and target DNA concentration over a range of 1 to 100 ng for genomic DNA (or genomic DNA equivalent) from both pure cultures and mixed communities. However, the quantitative capacity of microarrays for measuring the relative abundance of targeted genes in complex environmental samples is less clear due to divergent target sequences. Sequence divergence and probe length affected hybridization signal intensity within a certain range of sequence identity and size, respectively. This prototype functional gene array did reveal differences in the apparent distribution of nir and amoA and pmoA gene families in sediment and soil samples. Our results indicate that glass-based microarray hybridization has potential as a tool for revealing functional gene composition in natural microbial communities; however, more work is needed to improve sensitivity and quantitation and to understand the associated issue of specificity.