Decontamination of polymerase chain reaction reagents using DEAE–cellulose

Optimization of 16S rRNA gene analysis for use in the diagnostic clinical microbiology service

Broad-range amplification and sequencing of the 16S rRNA gene, directly from clinical samples, is a method that potentially allows detection of any cultivable or non-cultivable bacteria. However, the method is prone to false positive results due to PCR contamination. Another concern is the human DNA abundance compared to bacterial DNA in samples from sterile sites. Those factors may decrease the sensitivity and specificity of the assay and can complicate the analysis and interpretation of the results. The objective of this prospective study was to try to avoid the most common pitfalls, mentioned above, and develop a molecular 16S assay with a high clinical sensitivity and specificity. Fifty-six consecutive tissue samples from patients with suspected deep infections were extracted by 3 different DNA-extraction methods; two based on a principle of bacterial DNA enrichment, and one conventional DNA extraction method. We compared three primer pairs, including both conventional and DPO principle, targeting different variable regions of the 16S rRNA gene. Results from routine tissue culture were used as reference. Clinical data was recorded from patient charts and analyzed in parallel. Of a total of 56 samples, collected from 39 patients, 70% (39 samples) were assessed as true infections by analysis of clinical data. Bacterial enrichment extraction increased sensitivity from 54% to 72%. The 2 sets of primer pairs defining region V1-V3 and V3-V4, showed similar sensitivity, but DPO-primers resulted in better specificity, i.e. less contaminations. The primer pairs covering V1-V8 show significantly lower sensitivity (p < .001) than V1-V3 and V3-V4. Optimizing extraction protocols and choice of primers can increase the sensitivity and specificity of a molecular 16S-analysis, rendering a valuable complement to tissue culture.

DNA decontamination methods for internal quality management in clinical PCR laboratories

BACKGROUND

The polymerase chain reaction (PCR) technique, one of the most commonly applied methods in diagnostic and molecular biology, has a frustrating downside: the occurrence of false-positive signals due to contamination. In previous research, various DNA decontamination methods have been developed to overcome this limitation. Unfortunately, the use of random or poorly focused sampling methods for monitoring air and/or object surfaces leads to the incomplete elimination during decontamination procedures. We herein attempted to develop a novel DNA decontamination method (environmental surveillance, including surface and air sampling) and quality management program for clinical molecular diagnostic laboratories (or clinical PCR laboratories).

METHODS

Here, we performed a step-by-step evaluation of current DNA decontamination methods and developed an effective procedure for assessing the presence of decontaminating DNA via PCR analysis. Performing targeted environmental surveillance by sampling, which reached optimal performance over 2 weeks, and the decontamination process had been verified as reliable. Additionally, the process was validated to not affect PCR amplification efficiency based on a comparative study.

RESULTS

In this study, effective guidelines for DNA decontamination were developed. The method employed ensured that surface DNA contamination could be effectively identified and eliminated. Furthermore, our study highlighted the importance of overall quality assurance and good clinical laboratory practices for preventing contamination, which are key factors for compliance with regulatory or accreditation requirements.

CONCLUSIONS

Taken together, we provided the evidence that the presented scheme ranged from troubleshooting to the elimination of surface contamination, could serve as critical foundation for developing regular environmental surveillance guidelines for PCR laboratories.

Rapid detection of the Escherichia coli genospecies in water by conventional and real-time PCR

The presence of Escherichia coli has long been established as the most reliable microbiological indication of fecal contamination in water. Current recommended culture-based methods for assessing water quality by the detection of E. coli are lengthy and lack ubiquity (ability to detect most if not all strains of a target microorganism). We describe rapid and sensitive conventional and real-time PCR assays specific to E. coli and Shigella, based on the nucleotide sequence of the highly conserved elongation factor Tu (tuf) gene enabling the detection of all members of the genospecies.

An efficient strategy for broad-range detection of low abundance bacteria without DNA decontamination of PCR reagents

Background

Bacterial DNA contamination in PCR reagents has been a long standing problem that hampers the adoption of broad-range PCR in clinical and applied microbiology, particularly in detection of low abundance bacteria. Although several DNA decontamination protocols have been reported, they all suffer from compromised PCR efficiency or detection limits. To date, no satisfactory solution has been found.

Methodology/Principal Findings

We herein describe a method that solves this long standing problem by employing a broad-range primer extension-PCR (PE-PCR) strategy that obviates the need for DNA decontamination. In this method, we first devise a fusion probe having a 3′-end complementary to the template bacterial sequence and a 5′-end non-bacterial tag sequence. We then hybridize the probes to template DNA, carry out primer extension and remove the excess probes using an optimized enzyme mix of Klenow DNA polymerase and exonuclease I. This strategy allows the templates to be distinguished from the PCR reagent contaminants and selectively amplified by PCR. To prove the concept, we spiked the PCR reagents with Staphylococcus aureus genomic DNA and applied PE-PCR to amplify template bacterial DNA. The spiking DNA neither interfered with template DNA amplification nor caused false positive of the reaction. Broad-range PE-PCR amplification of the 16S rRNA gene was also validated and minute quantities of template DNA (10–100 fg) were detectable without false positives. When adapting to real-time and high-resolution melting (HRM) analytical platforms, the unique melting profiles for the PE-PCR product can be used as the molecular fingerprints to further identify individual bacterial species.

Conclusions/Significance

Broad-range PE-PCR is simple, efficient, and completely obviates the need to decontaminate PCR reagents. When coupling with real-time and HRM analyses, it offers a new avenue for bacterial species identification with a limited source of bacterial DNA, making it suitable for use in clinical and applied microbiology laboratories.

Next-generation sequencing in the analysis of human microbiota: essential considerations for clinical application

The development of next-generation sequencing (NGS) presents an unprecedented opportunity to investigate the complex microbial communities that are associated with the human body. It offers for the first time a basis for detailed temporal and spatial analysis, with the potential to revolutionize our understanding of many clinically important systems. However, while advances continue to be made in areas such as PCR amplification for NGS, sequencing protocols, and data analysis, in many cases the quality of the data generated is undermined by a failure to address fundamental aspects of experimental design. While little is added in terms of time or cost by the analysis of repeat samples, the exclusion of DNA from dead bacterial cells and the extracellular matrix, the use of efficient nucleic acid extraction methodologies, and the implementation of safeguards to minimize the introduction of contaminating nucleic acids, such considerations are essential in achieving an accurate representation of the system being studied. In this review, the chronic bacterial infections that characterize lower respiratory tract infections in cystic fibrosis patients are used as an example system to examine the implications of a failure to address these issues when designing NGS-based analysis of human-associated microbiota. Further, ways in which the impact of these factors can be minimized are discussed.