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Published on: June 17, 2010
A Real-Time PCR Assay for the Detection of Clavibacter michiganensis subsp. sepedonicus Based on the Cellulase A Gene
Neil C Gudmestad1, Ipsita Mallik1, Julie S Pasche1
1Department of Plant Pathology, North Dakota State University, Fargo 58108.
Abstract:
Clavibacter michiganensis subsp. sepedonicus, causal agent of bacterial ring rot (BRR) of potato (Solanum tuberosum), is a globally important quarantine pathogen that is managed in North America using zero tolerance regulations in the certified seed industry. C. michiganensis subsp. sepedonicus is well documented to cause symptomless infections in potato, contributing to its persistence in certified seed stocks. Reliable laboratory methods to detect symptomless infections with a high degree of sensitivity could assist in the reduction of inoculum in certified seed potato stocks. A real-time polymerase chain reaction (PCR) assay was developed using the cellulase A (CelA) gene sequence as the basis for primer design. CelA primers were specific to C. michiganensis subsp. sepedonicus grown in vitro and did not detect any other coryneform bacteria or potato pathogenic bacteria but did detect 69 strains of C. michiganensis subsp. sepedonicus. The CelA real-time PCR assay was more sensitive than immunofluorescence (IFA) and Cms50/72a PCR assays in detecting C. michiganensis subsp. sepedonicus in infected potato tuber cores blended with healthy tuber cores in simulated seed lot contamination experiments. CelA primers detected nonmucoid and mucoid strains with equivalent sensitivity. In naturally infected seed lots, CelA PCR primers also were more sensitive in detecting symptomless infections of C. michiganensis subsp. sepedonicus in seed tubers prior to planting compared to Cms50/72a PCR primers, IFA, and enzyme-linked immunosorbent assay. A real-time PCR format using the newly developed CelA primers proved to be a very robust detection tool for C. michiganensis subsp. sepedonicus with the added advantage of detecting only virulent strains of the ring rot bacterium.
Insights
A new real-time PCR assay using the CelA gene effectively detects symptomless Clavibacter michiganensis subsp. sepedonicus infections in potato seed. This sensitive method aids in reducing inoculum for certified seed potato stocks.
Area of Science:
- Plant Pathology
- Molecular Biology
- Bacteriology
Background:
- Clavibacter michiganensis subsp. sepedonicus causes bacterial ring rot (BRR) in potatoes, a significant quarantine pathogen.
- Symptomless infections by this pathogen complicate eradication efforts in certified seed potato industries.
- Sensitive detection methods are crucial for managing BRR and maintaining seed potato quality.
Purpose of the Study:
- To develop a highly sensitive real-time PCR assay for detecting Clavibacter michiganensis subsp. sepedonicus.
- To specifically target the cellulase A (CelA) gene for primer design in the assay.
- To evaluate the sensitivity and specificity of the CelA real-time PCR assay compared to existing methods.
Main Methods:
- Development of a real-time PCR assay utilizing primers based on the CelA gene sequence.
- In vitro testing of primer specificity against various bacterial strains.
- Comparative analysis of the CelA real-time PCR assay against immunofluorescence (IFA) and Cms50/72a PCR using simulated and naturally infected potato samples.
Main Results:
- The CelA real-time PCR assay demonstrated high specificity, detecting only C. michiganensis subsp. sepedonicus strains.
- The assay was significantly more sensitive than IFA and Cms50/72a PCR in detecting both simulated and natural infections, including symptomless cases.
- CelA primers detected both mucoid and nonmucoid strains of the pathogen with equivalent sensitivity.
Conclusions:
- The CelA real-time PCR assay is a robust and highly sensitive tool for detecting Clavibacter michiganensis subsp. sepedonicus.
- This method offers an advantage in detecting only virulent strains of the ring rot bacterium.
- The assay can significantly aid in the management of BRR in certified seed potato production by detecting latent infections.
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