Related Experiment Video
Updated: Jan 30, 2026

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
Published on: May 25, 2015
Identification of the Dominant Genotypes of Phytophthora infestans in Canada Using Real-Time PCR with ASO-PCR Assays
Marie-Claude Gagnon1, Lawrence Kawchuk2, D Mathieu Tremblay3
1Canadian Food Inspection Agency (CFIA), Ottawa, ON, Canada.
Abstract:
Phytophthora infestans, a pathogenic oomycete that is the causal agent of potato and tomato late blight, has devastating effects worldwide. The genetic composition of P. infestans populations in Canada has changed considerably over the last few years, with the appearance of several new genotypes showing different mating types and sensitivity to the fungicide metalaxyl. Genetic markers allowing for a rapid assessment of genotypes from small amounts of biological material would be beneficial for the early detection and control of this pathogen throughout Canada. Mining of the P. infestans genome revealed several regions containing single-nucleotide polymorphisms (SNP) within both nuclear genes and flanking sequences of microsatellite loci. Allele-specific oligonucleotide polymerase chain reaction (ASO-PCR) assays were developed from 14 of the 50 SNP found by sequencing. Nine optimized ASO-PCR assays were validated using a blind test comprising P. infestans and other Phytophthora spp. The assays revealed diagnostic profiles unique to each of the five dominant genotypes present in Canada. The markers developed in this study can be used with environmental samples such as infected leaves, and will contribute to the genomic toolbox available to assess the genetic diversity of P. infestans at the intraspecific level. For late blight management, early warning about P. infestans genotypes present in potato and tomato fields will help growers select the most appropriate fungicides and application strategies.
Related Concept Videos
Real Time RT-PCR
The real-time quantification of the number of amplified products is...
PCR
Incomplete Dominance
Real Number System
Real Number Operations
Methods of Classification and Identification

