scholarly journals Detection and Identification of Four Common Rust Pathogens of Cereals and Grasses Using Real-Time Polymerase Chain Reaction

2007 ◽  
Vol 97 (6) ◽  
pp. 717-727 ◽  
Author(s):  
C. W. Barnes ◽  
L. J. Szabo

Puccinia spp. are widespread pathogens of cereals and grasses that annually cause significant yield losses worldwide, especially in barley, oat, and wheat. Urediniospore morphology and early symptom development have limited usefulness for distinguishing Puccinia spp. Therefore, we developed real-time polymerase chain reaction assays for rapid detection of the four rust pathogen species, Puccinia graminis (Pers.:Pers.), P. striiformis (Westend.), P. triticina (Eriks.), and P. recondita (Roberge ex Desmaz.). Duplex assays were constructed for the nuclear rDNA gene, using the variable internal transcribed spacer 1 (ITS1) region to distinguish between species, and the conserved 28S region as an internal control. Species-specific ITS1 primer/probe sets were highly specific and could detect <1 pg of DNA. The species-specific primer/probe sets showed positive results over a linear range of DNA five orders of magnitude or greater. Specificity of the assays was tested using multiple collections representing a range of races and formae speciales within a species. Additionally, assay specificity was evaluated by testing a range of other grass rust pathogens, as well as other fungi. The 28S primer/probe combination was successful in detecting all Puccinia spp. tested within the duplex assays, validating the integrity of each assay. Finally, the assays were used to identify unknown rust fungi infecting pasture grasses.

2008 ◽  
Vol 60 (3) ◽  
pp. 263-271 ◽  
Author(s):  
Catherine Dunyach ◽  
Sébastien Bertout ◽  
Cécile Phelipeau ◽  
Pascal Drakulovski ◽  
Jacques Reynes ◽  
...  

Author(s):  
Rajeev Kumar Jain ◽  
Nagaraj Perumal ◽  
Rakesh Shrivastava ◽  
Kamlesh Kumar Ahirwar ◽  
Jaya Lalwani ◽  
...  

Introduction: The whole world is facing an ongoing global health emergency of COVID-19 disease caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). Real-Time Reverse Transcription-Polymerase Chain Reaction (RT-PCR) is a gold standard in the detection of SARS-CoV-2 infection. Presently, many single tube multiple gene target RT-PCR kits have been developed and are commercially available for Coronavirus Disease 2019 (COVID-19) diagnosis. Aim: To evaluate the performance of seven COVID-19 RT-PCR kits (DiagSure, Meril, VIRALDTECT II, TruPCR, Q-line, Allplex and TaqPath) which are commercially available for COVID-19 RT-PCR diagnosis. Materials and Methods: This observational study was conductedat the State Virology Laboratory (SVL), Gandhi Medical College, Bhopal, Madhya Pradesh, India. Seven commercially available kits have been evaluated on the basis of: (i) number of SARS-CoV-2 specific gene target; (ii) human housekeeping genes as internal control; (iii) RT-PCR run time; and (iv) kit performances to correctly detect SARS-CoV-2 positive and negative RNA samples. A total of 50 RNA samples (left over RNA) were included, master mix preparation, template addition and RT-PCR test has been performed according to kits literature. At the end of PCR run, mean and standard deviation of obtained cut-off of all kits were calculated using Microsoft Excel. Results: All seven RT-PCR kits performed satisfactory regarding the reproducibility and they could correctly identify 30 positive and 20 negative RNA samples. RNA samples (group C) having low viral loads with a high Cycle threshold (Ct) value (>30) were also detected by all these seven kits. Obtained Ct values of each group was in parallel range in comparison with the initial testing Ct values. Kits were found to be superior which contains primers and probes for three SARS-CoV-2 specific gene targets, have human housekeeping gene as internal control and taking less time to complete RT-PCR. Conclusion: All seven COVID-19 RT-PCR kits included in this study demonstrated satisfactory performance and can be used for the routine molecular diagnosis of COVID-19 disease.


2017 ◽  
Vol 112 (5) ◽  
pp. 339-347 ◽  
Author(s):  
Miriam Ribas Zambenedetti ◽  
Daniela Parada Pavoni ◽  
Andreia Cristine Dallabona ◽  
Alejandro Correa Dominguez ◽  
Celina de Oliveira Poersch ◽  
...  

Mycoses ◽  
2009 ◽  
Vol 52 (6) ◽  
pp. 487-492 ◽  
Author(s):  
Sakorn Pornprasert ◽  
Jutarat Praparattanapan ◽  
Chantana Khamwan ◽  
Sudjai Pawichai ◽  
Parichat Pimsarn ◽  
...  

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