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Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing
Published on: March 19, 2018
Use of amplicon sequencing to improve sensitivity in PCR-based detection of microbial pathogen in environmental
Prakit Saingam1, Bo Li1, Tao Yan1
1Department of Civil and Environmental Engineering, College of Engineering, University of Hawaii at Manoa, Honolulu, HI 96848, USA.
Abstract:
DNA-based molecular detection of microbial pathogens in complex environments is still plagued by sensitivity, specificity and robustness issues. We propose to address these issues by viewing them as inadvertent consequences of requiring specific and adequate amplification (SAA) of target DNA molecules by current PCR methods. Using the invA gene of Salmonella as the model system, we investigated if next generation sequencing (NGS) can be used to directly detect target sequences in false-negative PCR reaction (PCR-NGS) in order to remove the SAA requirement from PCR. False-negative PCR and qPCR reactions were first created using serial dilutions of laboratory-prepared Salmonella genomic DNA and then analyzed directly by NGS. Target invA sequences were detected in all false-negative PCR and qPCR reactions, which lowered the method detection limits near the theoretical minimum of single gene copy detection. The capability of the PCR-NGS approach in correcting false negativity was further tested and confirmed under more environmentally relevant conditions using Salmonella-spiked stream water and sediment samples. Finally, the PCR-NGS approach was applied to ten urban stream water samples and detected invA sequences in eight samples that would be otherwise deemed Salmonella negative. Analysis of the non-target sequences in the false-negative reactions helped to identify primer dime-like short sequences as the main cause of the false negativity. Together, the results demonstrated that the PCR-NGS approach can significantly improve method sensitivity, correct false-negative detections, and enable sequence-based analysis for failure diagnostics in complex environmental samples.
Insights
This study introduces a novel PCR-NGS method to improve microbial pathogen detection. It successfully corrects false negatives and enhances sensitivity in complex environmental samples.
Area of Science:
- Environmental microbiology
- Molecular diagnostics
- Next-generation sequencing
Background:
- Current DNA-based pathogen detection methods face challenges in sensitivity, specificity, and robustness.
- These limitations are often linked to the requirement for specific and adequate amplification (SAA) in Polymerase Chain Reaction (PCR).
Purpose of the Study:
- To investigate the use of next-generation sequencing (NGS) to detect target DNA sequences directly from false-negative PCR reactions (PCR-NGS).
- To eliminate the need for SAA in PCR by leveraging NGS for enhanced detection.
- To improve the sensitivity and accuracy of microbial detection in complex environmental matrices.
Main Methods:
- False-negative PCR and quantitative PCR (qPCR) reactions were generated using serial dilutions of Salmonella genomic DNA.
- These reactions were directly analyzed by NGS to detect target invA sequences.
- The PCR-NGS approach was validated using Salmonella-spiked stream water and sediment samples.
- The method was applied to urban stream water samples for real-world performance assessment.
Main Results:
- Target invA sequences were successfully detected in all false-negative PCR and qPCR reactions, significantly lowering detection limits.
- The PCR-NGS approach demonstrated effectiveness in correcting false-negative results in environmentally relevant samples.
- Eight out of ten urban stream water samples, initially deemed Salmonella-negative by conventional methods, tested positive using PCR-NGS.
- Analysis of non-target sequences identified primer dimer-like sequences as a primary cause of false negativity.
Conclusions:
- The PCR-NGS approach offers a significant improvement in method sensitivity for microbial pathogen detection.
- This method can effectively correct false-negative detections, providing more accurate results.
- PCR-NGS enables sequence-based failure diagnostics, aiding in understanding limitations of PCR in complex environmental samples.
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