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Updated: Jul 2, 2026

Digital PCR-based Competitive Index for High-throughput Analysis of Fitness in Salmonella
Published on: May 13, 2019
Impact of compounding error on strategies for subtyping pathogenic bacteria
Douglas R Call1, Lisa Orfe, Margaret A Davis
1Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, Washington 99164-7040, USA. drcall@wsu.edu
Using fewer genetic markers, like variable number of tandem repeats (VNTRs), offers a more robust method for bacterial strain typing compared to using many markers. This approach improves accuracy in discriminating bacterial strains.
Area of Science:
- Microbiology
- Genetics
- Bioinformatics
Background:
- Comparative-omics generates numerous markers for bacterial intraspecific discrimination.
- High-throughput assays using many markers suffer from compounded errors, reducing classification accuracy.
- Previous methods like bead-arrays showed limitations in robust strain-level classification.
Purpose of the Study:
- To investigate a more robust strategy for bacterial strain discrimination using fewer markers.
- To develop and evaluate variable number of tandem repeat (VNTR) assays for bacterial subtyping.
Main Methods:
- Developed and tested VNTR assays for Vibrio parahaemolyticus and Listeria monocytogenes.
- Evaluated a published VNTR assay for Salmonella enterica.
- Compared VNTR assay performance to pulsed-field gel electrophoresis (PFGE).
- Assessed assay robustness through passage experiments and machine scoring.
Main Results:
- VNTR assays with 4-7 loci provided discriminatory ability comparable to PFGE.
- Machine scoring of VNTR assays yielded robust results.
- Passage experiments revealed minor instability (approx. 5%) in some strains, affecting a single locus/allele.
Conclusions:
- VNTRs offer a robust and portable method for bacterial strain discrimination.
- Utilizing a minimal set of VNTR loci effectively limits error compounding and enhances classification accuracy.
- VNTR-based subtyping presents a reliable alternative to traditional methods for bacterial strain identification.
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