Identification and Quantification of Pathogenic Pythium spp. from Soils in Eastern Washington Using Real-Time Polymerase Chain Reaction
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Updated: Jun 28, 2026

On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System
Published on: February 23, 2018
Abstract:
ABSTRACT Traditional methods of quantifying Pythium spp. rely on the use of selective media and dilution plating. However, high variability is inherent in this type of enumeration and counts may not be representative of the pathogenic population of Pythium spp. Variable regions of the internal transcribed spacer of the rDNA were used to design species-specific primers for detection and quantification of nine Pythium spp. from soils in eastern Washington. Primer pairs were designed for Pythium abappressorium, P. attrantheridium, P. heterothallicum, P. irregulare group I, P. irregulare group IV, P. paroecandrum, P. rostratifingens, P. sylvaticum, and P. ultimum and used with real-time polymerase chain reaction. Standard curves were generated for each of the species using SYBR Green I fluorescent dye for detection of amplification. Seventy-seven isolates of Pythium were screened to confirm specificity of each primer set. DNA was extracted from soil and standard curves were generated for P. irregulare group I, P. irregulare group IV, and P. ultimum to correlate populations of each species in the soil with quantities of DNA amplified from the same soil. Examination of raw field soils revealed results similar to those observed in previous studies. This new technique for the quantification of Pythium spp. is rapid and accurate, and will be a useful tool in the future study of these pathogenic Pythium spp.
Insights
This study introduces a new, accurate method for quantifying Pythium species in soil using real-time PCR and species-specific primers. This technique offers a rapid and reliable alternative to traditional methods for studying these plant pathogens.
Area of Science:
- * Plant Pathology
- * Molecular Biology
- * Soil Microbiology
Background:
- * Traditional methods for quantifying Pythium species, such as selective media and dilution plating, suffer from high variability.
- * Existing methods may not accurately represent the pathogenic population of Pythium species in soil.
- * Accurate quantification of Pythium is crucial for understanding its role in plant diseases.
Purpose of the Study:
- * To develop and validate a novel, accurate method for detecting and quantifying nine specific Pythium species in soil.
- * To design species-specific primers targeting variable regions of the rDNA internal transcribed spacer for Pythium quantification.
- * To compare the new method with traditional enumeration techniques.
Main Methods:
- * Design of species-specific primers for nine Pythium species based on rDNA internal transcribed spacer regions.
- * Utilization of real-time polymerase chain reaction (PCR) with SYBR Green I for amplification detection.
- * Generation of standard curves for each species to correlate DNA quantity with population size.
- * Screening of 77 Pythium isolates to confirm primer specificity.
Main Results:
- * Development of species-specific primer pairs for Pythium abappressorium, P. attrantheridium, P. heterothallicum, P. irregulare groups I and IV, P. paroecandrum, P. rostratifingens, P. sylvaticum, and P. ultimum.
- * Successful amplification and detection of Pythium DNA in soil samples using real-time PCR.
- * Generation of standard curves allowed for correlation of amplified DNA with soil populations for key species.
- * The new technique demonstrated speed and accuracy in quantifying Pythium species.
Conclusions:
- * A rapid and accurate real-time PCR method using species-specific primers has been established for quantifying nine Pythium species in soil.
- * This molecular approach overcomes the limitations of traditional methods, providing more reliable enumeration of pathogenic Pythium populations.
- * The developed technique is a valuable tool for future research on Pythium species and their impact on plant health.
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