Robustness of digital PCR and real‐time PCR against inhibitors in transgene detection for gene doping control in equestrian sports

2021 ◽  
Author(s):  
Teruaki Tozaki ◽  
Aoi Ohnuma ◽  
Mio Kikuchi ◽  
Taichiro Ishige ◽  
Hironaga Kakoi ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Doping Control ◽  
Gene Doping ◽  
Equestrian Sports ◽  
Transgene Detection

Robustness of Digital PCR and Real-Time PCR in Transgene Detection for Gene-Doping Control

2021 ◽  
Author(s):  
Teruaki Tozaki ◽  
Aoi Ohnuma ◽  
Shinichi Iwai ◽  
Mio Kikuchi ◽  
Taichiro Ishige ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Doping Control ◽  
Gene Doping ◽  
Transgene Detection

Low‐copy transgene detection using nested digital PCR for gene doping control

2021 ◽  
Author(s):  
Teruaki Tozaki ◽  
Aoi Ohnuma ◽  
Natasha A. Hamilton ◽  
Mio Kikuchi ◽  
Taichiro Ishige ◽  
...  
Keyword(s):  
Digital Pcr ◽  
Doping Control ◽  
Gene Doping ◽  
Transgene Detection

scholarly journals Development and validation of a method for quantification of common wheat, durum wheat, rye and barley by droplet digital PCR

2021 ◽  
Author(s):  
Christian Schulze ◽  
Anne-Catrin Geuthner ◽  
Dietrich Mäde
Keyword(s):  
Durum Wheat ◽  
Real Time ◽  
Bread Wheat ◽  
Common Wheat ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Food Fraud ◽  
Single Genome ◽  
Cereal Species

AbstractFood fraud is becoming a prominent topic in the food industry. Thus, valid methods for detecting potential adulterations are necessary to identify instances of food fraud in cereal products, a significant component of human diet. In this work, primer–probe systems for real-time PCR and droplet digital PCR (ddPCR) for the detection of these cereal species: bread wheat (together with spelt), durum wheat, rye and barley for real-time PCR and ddPCR were established, optimized and validated. In addition, it was projected to validate a molecular system for differentiation of bread wheat and spelt; however, attempts for molecular differentiation between common wheat and spelt based on the gene GAG56D failed because of the genetic variability of the molecular target. Primer–probe systems were further developed and optimized on the basis of alignments of DNA sequences, as well as already developed PCR systems. The specificity of each system was demonstrated on 10 (spelt), 11 (durum wheat and rye) and 12 (bread wheat) reference samples. Specificity of the barley system was already proved in previous work. The calculated limits of detection (LOD95%) were between 2.43 and 4.07 single genome copies in real-time PCR. Based on the “three droplet rule”, the LOD95% in ddPCR was calculated to be 9.07–13.26 single genome copies. The systems were tested in mixtures of flours (rye and common wheat) and of semolina (durum and common wheat). The methods proved to be robust with regard to the tested conditions in the ddPCR. The developed primer–probe systems for ddPCR proved to be effective in quantitatively detecting the investigated cereal species rye and common wheat in mixtures by taking into account the haploid genome weight and the degree of milling of a flour. This method can correctly detect proportions of 50%, 60% and 90% wholemeal rye flour in a mixture of wholemeal common wheat flour. Quantitative results depend on the DNA content, on ploidy of cereal species and are also influenced by comminution. Hence, the proportion of less processed rye is overestimated in higher processed bread wheat and adulteration of durum wheat by common wheat by 1–5% resulted in underestimation of common wheat.

Detection of transgenic rice line TT51-1 in processed foods using conventional PCR, real-time PCR, and droplet digital PCR

Food Control ◽  
2019 ◽  
Vol 98 ◽  
pp. 380-388 ◽  
Author(s):  
Xiaofu Wang ◽  
Ting Tang ◽  
Qingmei Miao ◽  
Shilong Xie ◽  
Xiaoyun Chen ◽  
...  
Keyword(s):  
Real Time ◽  
Transgenic Rice ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Processed Foods ◽  
Conventional Pcr ◽  
Rice Line ◽  
Transgenic Rice Line

42P Method optimization for the detection of chimerism by real-time PCR and droplet digital PCR

2021 ◽  
Vol 32 ◽  
pp. S1358
Author(s):  
I.M. Lambrescu ◽  
V.S. Ionescu ◽  
G. Gaina ◽  
A. Popa ◽  
C. Niculite ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Method Optimization

Evaluation of droplet digital PCR for the detection of black canker disease in tomato

Plant Disease ◽  
2021 ◽  
Author(s):  
Li Wang ◽  
Tian Qian ◽  
Pei Zhou ◽  
Wenjun Zhao ◽  
Xianchao Sun
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Plant Pathogens ◽  
Plant Protection ◽  
Detection Threshold ◽  
Digital Pcr ◽  
Taqman Probe ◽  
Tomato Seed ◽  
Canker Disease ◽  
Probe Set

Clavibacter michiganensis subsp. michiganensis (Cmm), the cause of bacterial canker disease, is one of the most destructive pathogens in greenhouse and field tomato. The pathogen is now present in all main production areas of tomato and is quite widely distributed in the EPPO（European and Mediterranean Plant Protection Organization）region. The inspection and quarantine of the plant pathogens relies heavily on accurate detection tools. Primers and probes reported in previous studies do not distinguish the Cmm pathogen from other closely related subspecies of C. michiganensis, especially the non-pathogenic subspecies that were identified from tomato seeds recently. Here, we have developed a droplet digital polymerase chain reaction (ddPCR) method for the identification of this specific bacterium with primers/TaqMan probe set designed based on the pat-1 gene of Cmm. This new primers/probe set has been evaluated by qPCRthe real time PCR（qPCR） and ddPCR. The detection results suggest that the ddPCR method established in this study was highly specific for the target strains. The result showed the positive amplification for all 5 Cmm strains，and no amplification was observed for the other 43 tested bacteria, including the closely related C. michiganensis strains. The detection threshold of ddPCR was 10.8 CFU/mL for both pure Cmm cell suspensions and infected tomato seed, which was 100 times-fold more sensitive than that of the real-time PCR (qPCR ) performed using the same primers and probe. The data obtained suggest that our established ddPCR could detect Cmm even with low bacteria load, which could facilitate both Cmm inspection for pathogen quarantine and the routine pathogen detection for disease control of black canker in tomato.

Reverse transcriptase droplet digital PCR vs reverse transcriptase quantitative real‐time PCR for serum HBV RNA quantification

2020 ◽  
Vol 92 (12) ◽  
pp. 3365-3372 ◽  
Author(s):  
Umaporn Limothai ◽  
Natthaya Chuaypen ◽  
Kittiyod Poovorawan ◽  
Watcharasak Chotiyaputta ◽  
Tawesak Tanwandee ◽  
...  
Keyword(s):  
Reverse Transcriptase ◽  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Droplet Digital Pcr ◽  
Quantitative Real Time Pcr ◽  
Rna Quantification

scholarly journals Detection and quantification of Campylobacter in foods: New analytic approaches to detect and quantify Campylobacter spp. in food samples

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Maria Francesca Peruzy ◽  
Yolande Thérèse Rose Proroga ◽  
Federico Capuano ◽  
Federica Corrado ◽  
Serena Santonicola ◽  
...  
Keyword(s):  
Real Time ◽  
Campylobacter Jejuni ◽  
Internal Control ◽  
Real Time Pcr ◽  
Quantitative Methods ◽  
Bacterial Load ◽  
Digital Pcr ◽  
Food Samples ◽  
Meat Samples ◽  
Campylobacter Spp

The aim of the present study was to develop rapid qualitative and quantitative methods based on the use of Real-Time PCR and Droplet Digital PCR (ddPCR), in order to have reliable techniques to detect and quantify Campylobacter spp. in food samples. The gene 16S-rRNA was used as specific target for Campylobacter spp. Real- Time PCR evaluation assay and a not competitive internal control was ushered in it. To investigate the selectivity of the method, 26 Campylobacter strains and 40 non-Campylobacter strains were tested and in order to verify the application of Real-Time PCR method, 5 pork meat samples were experimentally inoculated with a Campylobacter jejuni strain. Subsequently, dilutions with a bacterial load of Campylobacter jejuni within 10-106 CFU/mL were chosen for the optimization of the ddPCR assay. Lastly, a total of 54 naturally contaminated foods samples were analyzed through molecular (Real-Time PCR and ddPCR) and traditional methods. The Real-Time PCR protocol demonstrated to amplify only the Campylobacter spp. strains and when Campylobacter jejuni was experimentally inoculated in meat samples the pathogen was always detected. The ddPCRs assay allowed to quantify a level of contamination of 10 CFU/mL, but it was unable to quantify levels of 105 – 106 CFU/mL. Lastly, Campylobacter spp. was never detected in the 54 samples tested. In conclusion, the novel analytic approach proposed, based on an initial screening of the samples with Real-Time PCR and then on quantification of Campylobacter spp. with a ddPCR on those positive, represents a quick monitoring tool and, if used correctly, it would allow the implementation of food safety.

Quantification of BCR-ABL by digital PCR in samples with high copy numbers and rates of molecular responses (as defined by EUTOS) compared to those detected with standard quantitative real-time PCR.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. 7056-7056 ◽  
Author(s):  
Georg-Nikolaus Franke ◽  
Jacqueline Maier ◽  
Michael Cross ◽  
Kathrin Wildenberger ◽  
Francis J. Giles ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Quantitative Real Time Pcr ◽  
Molecular Responses ◽  
Copy Numbers

scholarly journals Absolute quantification by droplet digital PCR versus analog real-time PCR

2013 ◽  
Vol 10 (10) ◽  
pp. 1003-1005 ◽  
Author(s):  
Christopher M Hindson ◽  
John R Chevillet ◽  
Hilary A Briggs ◽  
Emily N Gallichotte ◽  
Ingrid K Ruf ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Digital Pcr ◽  
Absolute Quantification ◽  
Droplet Digital Pcr
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