Javascript must be enabled to continue!
Pathovar-Specific PCR Method for Detection and Identification of Xanthomonas translucens pv. undulosa
View through CrossRef
Bacterial leaf streak disease caused by Xanthomonas translucens pv. undulosa is an economically important disease threatening wheat and barley crops around the globe. Thus far, specific PCR-based detection and identification tests for X. translucens pathovars are not available. In this study, we used comparative genomics approach to design a pathovar-specific primer pair for detection of X. translucens pv. undulosa in naturally infected seeds and its differentiation from other pathovars of the species. For this aim, complete genome sequences of strains of different X. translucens pathovars were compared and the specific PCR primer pair XtuF/XtuR was designed. These primers were strictly specific to X. translucens pv. undulosa because the expected 229-bp DNA fragment was not amplified in the closely related pathovars or in other xanthomonads, wheat-pathogenic bacteria, and other plant-pathogenic bacteria. High sensitivity of the primer pair XtuF/XtuR allowed detection of pure DNA of the pathogen in a concentration as low as 4.5 pg/μl. The pathogen was also detected in water suspension at a concentration of 8.6 × 102 CFU/ml. The PCR test was capable of detecting the pathogen in extracts of naturally infected wheat seeds at a concentration of 3.5 × 104 CFU/g while a culture-plate method was able to detect the pathogen at a concentration of 50 × 105 CFU/g of the same seeds. The PCR test developed in this study is a step forward for precise detection and identification of X. translucens pv. undulosa to prevent outbreaks of the bacterial leaf streak disease.
Title: Pathovar-Specific PCR Method for Detection and Identification of Xanthomonas translucens pv. undulosa
Description:
Bacterial leaf streak disease caused by Xanthomonas translucens pv.
undulosa is an economically important disease threatening wheat and barley crops around the globe.
Thus far, specific PCR-based detection and identification tests for X.
translucens pathovars are not available.
In this study, we used comparative genomics approach to design a pathovar-specific primer pair for detection of X.
translucens pv.
undulosa in naturally infected seeds and its differentiation from other pathovars of the species.
For this aim, complete genome sequences of strains of different X.
translucens pathovars were compared and the specific PCR primer pair XtuF/XtuR was designed.
These primers were strictly specific to X.
translucens pv.
undulosa because the expected 229-bp DNA fragment was not amplified in the closely related pathovars or in other xanthomonads, wheat-pathogenic bacteria, and other plant-pathogenic bacteria.
High sensitivity of the primer pair XtuF/XtuR allowed detection of pure DNA of the pathogen in a concentration as low as 4.
5 pg/μl.
The pathogen was also detected in water suspension at a concentration of 8.
6 × 102 CFU/ml.
The PCR test was capable of detecting the pathogen in extracts of naturally infected wheat seeds at a concentration of 3.
5 × 104 CFU/g while a culture-plate method was able to detect the pathogen at a concentration of 50 × 105 CFU/g of the same seeds.
The PCR test developed in this study is a step forward for precise detection and identification of X.
translucens pv.
undulosa to prevent outbreaks of the bacterial leaf streak disease.
Related Results
Aggressiveness of Xanthomonas translucens pv. undulosa Isolates and Differential Reaction Among Spring Wheat Varieties Under a Controlled Environment
Aggressiveness of Xanthomonas translucens pv. undulosa Isolates and Differential Reaction Among Spring Wheat Varieties Under a Controlled Environment
Xanthomonas translucens pv. undulosa causes bacterial leaf streak (BLS) in wheat that can lead to up to 40% losses globally. Understanding the aggressiveness of isolates from diffe...
Environmental Surveillance Protocols for Highly Pathogenic Avian Influenza (HPAI) v2
Environmental Surveillance Protocols for Highly Pathogenic Avian Influenza (HPAI) v2
EnvironmentalSurveillance Protocols for Highly Pathogenic Avian Influenza (HPAI) This comprehensive protocol suite enables systematic environmental surveillance for avian influenza...
Abstract 2113: A wild-type-blocking reference sequence enhances COLD-PCR and enables fast amplification and high enrichment of all types of low-prevalence unknown mutations
Abstract 2113: A wild-type-blocking reference sequence enhances COLD-PCR and enables fast amplification and high enrichment of all types of low-prevalence unknown mutations
Abstract
Background: Molecular profiling of somatic mutations in cancer often requires the identification of low-prevalence DNA mutations in an excess of wild-type (...
Improving of the Nested PCR for Detection of Bovine Leukemia Virus
Improving of the Nested PCR for Detection of Bovine Leukemia Virus
Enzootic bovine leukosis caused by a bovine leukemia virus has a significant economic impact and is reported in World Organization for Animal Health(OIE). Aim. The purpose of our w...
Treseder Lab Pyrosequencing Protocol v1
Treseder Lab Pyrosequencing Protocol v1
DNA Extraction Extract DNA from sample using the phenol/chloroform procedure or your kit of choice. We typically use the Mo Bio Power Soil DNA extraction kit for extracting DNA fro...
Development of a Novel Cytochrome b Real-Time PCR Assay for Identification of Plasmodium malariae
Development of a Novel Cytochrome b Real-Time PCR Assay for Identification of Plasmodium malariae
This article aims to establish a novel cytochrome b real-time PCR assay using Taqman probe for identification of P. malariae and its discrimination from other Plasmodium human infe...
Abstract 1574: KRAS genotyping by digital PCR combining melting curve analysis
Abstract 1574: KRAS genotyping by digital PCR combining melting curve analysis
Abstract
Background
ctDNA is a remarkable liquid biopsy for cancer diagnosis. Highly sensitive quantification method is required to measure a tiny amo...
Machine learning approaches to predict the Plant-associated phenotype of Xanthomonas strains
Machine learning approaches to predict the Plant-associated phenotype of Xanthomonas strains
Abstract
Background
The genus
Xanthomonas
has long bee...

