Uniqprimer

Uniqprimer designs PCR primer sets by comparative analysis of target and nontarget bacterial genomes to enable specific detection of bacterial taxa.


Key Features:

  • Automated primer design: Pipeline automates identification of candidate primer sets for PCR assays from genomic inputs.
  • Comparative genome analysis: Accepts target and nontarget genome sequences and compares them to identify discriminating primer regions.
  • Specificity assessment: Evaluates candidate primers against nontarget genomes to prioritize primers with reduced cross-amplification.
  • Implementation: Implemented as a Python software pipeline.

Scientific Applications:

  • Detection of Dickeya dianthicola: Designed primers were trialed for detection of the plant pathogen Dickeya dianthicola, a broad-host-range pathogen of potato.
  • Field sample validation: Candidate primers were validated on 116 DNA samples collected across the United States, detecting D. dianthicola in 41 samples.
  • Addressing diagnostic challenges: Applied to distinguish taxa within the genetically variable genus Dickeya to improve diagnostic specificity.

Methodology:

Implemented as a Python pipeline that compares target and nontarget genome sequences to identify candidate PCR primer sets; in one application it produced six candidate primer sets and identified two with high specificity and sensitivity.

Topics

Details

Programming Languages:
Python
Added:
11/14/2019
Last Updated:
1/2/2021

Operations

Publications

Karim S, McNally RR, Nasaruddin AS, DeReeper A, Mauleon RP, Charkowski AO, Leach JE, Ben-Hur A, Triplett LR. Development of the Automated Primer Design Workflow Uniqprimer and Diagnostic Primers for the Broad-Host-Range Plant Pathogen <i>Dickeya dianthicola</i>. Plant Disease. 2019;103(11):2893-2902. doi:10.1094/pdis-10-18-1819-re. PMID:31436473.

PMID: 31436473
Funding: - CARE: 2017-68008-26731 - USDA Specialty Crops Research Initiative project: 2017-51181-26827