SYTO dyes and EvaGreen outperform SYBR Green in real-time PCR

Background: Real-time PCR can be carried out using either probes or DNA dyes. SYBR Green has been used the most, but it suffers from several drawbacks. Numerous other DNA dyes are commercially available, but with limited structural information. Dye behavior in real time PCR is difficult to predict, so empirical data are needed. In the work described here, a panel of 23 different DNA dyes–including green, orange, and red SYTO dyes, EvaGreen, and SYBR Green–were evaluated with respect to their performance in real time PCR. Findings: Data were analyzed for reaction inhibition, effects on amplicon melting temperature, fluorescent signal strength, and reaction efficiency. This is the first report of reaction efficiency using alternatives to SYBR Green. Results indicated substantial variation in performance even within the SYTO dye family. EvaGreen and the SYTO dyes 13, 16, 80, and 82 performed better than SYBR Green in general, and high reaction efficiencies can be achieved using these dyes. Conclusions: Empirical data were generated for 23 DNA dyes. This paper confirms and extends previous findings that among commercially available DNA dyes, EvaGreen and certain SYTO dyes are the most desirable alternatives to the commonly used SYBR Green in real-time PCR. Backgroun

Optimised multiplex droplet digital PCR is more precise, but not more sensitive, than real-time PCR for the detection of allergenic peanut

The United States requires labelling of food products containing major allergens, such as peanut, through the Food Allergen Labeling and Consumer Protection Act. Accurate labelling requires sensitive, specific and robust detection methods, and PCR-based techniques have proven highly effective. This article describes the transition of a previously developed multiplex real-time PCR assay for allergenic peanut to a droplet digital PCR format. The triplex droplet digital PCR assay was developed in a probe mixing format and directly compared to the established real-time PCR assay. Data are provided for thorough optimisation in the digital format, including the effects of primer and probe concentration, cycle number and annealing/extension time. Optimisation parameters influenced relative location and separation of droplet clusters but not final copy number. The droplet digital PCR assay was linear over five orders of magnitude; its lower limit of detection was 0.05 pg DNA per reaction, more sensitive than published digital PCR allergen assays. It was more precise, but not more sensitive, than the previously established real-time PCR assay.</p

Detection of Allergen Markers in Food: Analytical Methods

Food allergens are proteins that are well tolerated by most, but can cause severe reactions in sensitive individuals. Since there is no cure for food allergy, strict adherence to an allergen-free diet is the only safe choice currently available for allergic consumers. Accurate food labeling can help consumers avoid foods containing an allergenic ingredient. Regulatory agencies have mandated the labeling of major food allergens on packaged foods to help with safe food choices. However, the inadvertent presence of an allergen in food due to cross-contact and labeling error can jeopardize consumer health. Analytical methods are developed for allergen detection and quantitation to ensure food safety and labeling compliance. These methods are mostly based on immunochemistry, mass spectrometry and genomic amplification. This chapter details the general principles and advances in the development of allergen detection methods. The validation of these analytical methods and challenges associated with accurate allergen quantitation is also discussed

Development and Evaluation of a Real-Time PCR Multiplex Assay for the Detection of Allergenic Peanut Using Chloroplast DNA Markers

Peanut is one of the most commonly consumed allergy-causing foods in the United States. Prevention of accidental consumption by allergic individuals is assisted by methods that effectively identify the presence of peanut in food, even at trace levels. This study presents a multiplex real-time polymerase chain reaction (PCR) assay that uses chloroplast markers (<i>matK</i>, <i>rpl16</i>, and <i>trnH-psbA</i>) to specifically detect peanut in three types of foods: baked goods, chocolate, and tomato sauces. Food matrices were spiked with raw peanut at concentrations ranging from 0.1 to 10⁵ ppm. The assay was evaluated with respect to linear range and reaction efficiency. High reaction efficiencies were generally obtained across 6–7 orders of magnitude. Limits of detection were between 0.1 and 1 ppm, and reaction efficiencies were mostly within the preferred range of 100 ± 10%. Our results indicate that real-time PCR assays using chloroplast markers can be a valuable tool for peanut detection

UV Disinfection of Adenoviruses: Molecular Indications of DNA Damage Efficiency▿

Adenovirus is a focus of the water treatment community because of its resistance to standard, monochromatic low-pressure (LP) UV irradiation. Recent research has shown that polychromatic, medium-pressure (MP) UV sources are more effective than LP UV for disinfection of adenovirus when viral inactivation is measured using cell culture infectivity assays; however, UV-induced DNA damage may be repaired during cell culture infectivity assays, and this confounds interpretation of these results. Objectives of this work were to study adenoviral response to both LP and MP UV using (i) standard cell culture infectivity assays and (ii) a PCR assay to directly assess damage to the adenoviral genome without introducing the virus into cell culture. LP and MP UV dose response curves were determined for (i) log inactivation of the virus in cell culture and (ii) UV-induced lesions per kilobase of viral DNA as measured by the PCR assay. Results show that LP and MP UV are equally effective at damaging the genome; MP UV is more effective at inactivating adenovirus in cell culture. This work suggests that the higher disinfection efficacy of MP UV cannot be attributed to a difference in DNA damage induction. These results enhance our understanding of the fundamental mechanisms of UV disinfection of viruses—especially double-stranded DNA viruses that infect humans—and improve the ability of the water treatment community to protect public health

Two Quantitative Real-Time PCR Assays for the Detection of Penaeid Shrimp and Blue Crab, Crustacean Shellfish Allergens

Food allergen detection methods must be able to specifically detect minute quantities of an allergenic food in a complex food matrix. One technique that can be used is real-time PCR. For the work described here, real-time PCR assays were developed to detect penaeid shrimp and blue crab, crustacean shellfish allergens. The method was tested using shrimp meat and crab meat spiked into several types of foods, including canned soups, deli foods, meat, seafood, and prepared seafood products. Foods were spiked with either shrimp or crab at levels ranging from 0.1 to 10⁶ parts per million (ppm) and analyzed either raw or cooked by a variety of methods. Real-time PCR data were used to generate linear standard curves, and assays were evaluated with respect to linear range and reaction efficiency. Results indicate that both assays performed well in a variety of food types. High reaction efficiencies were achieved across a linear range of 6–8 orders of magnitude. Limits of detection were generally between 0.1 and 1 ppm. Cooking methods used to simulate thermal processing of foods had little effect on assay performance. This work demonstrates that real-time PCR can be a valuable tool in the detection of crustacean shellfish

Evolution analysis of heterogeneous non-small cell lung carcinoma by ultra-deep sequencing of the mitochondrial genome.

Accurate assessment of tumour heterogeneity is an important issue that influences prognosis and therapeutic decision in molecular pathology. Due to the shortage of protective histones and a limited DNA repair capacity, the mitochondrial (mt)-genome undergoes high variability during tumour development. Therefore, screening of mt-genome represents a useful molecular tool for assessing precise cell lineages and tracking tumour history. Here, we describe a highly specific and robust multiplex PCR-based ultra-deep sequencing technology for analysis of the whole mt-genome (wmt-seq) on low quality-DNA from formalin-fixed paraffin-embedded tissues. As a proof of concept, we applied the wmt-seq technology to characterize the clonal relationship of non-small cell lung cancer (NSCLC) specimens with multiple lesions (N = 43) that show either different histological subtypes (group I) or pulmonary adenosquamous carcinoma as striking examples of a mixed-histology tumour (group II). The application of wmt-seq demonstrated that most samples bear common mt-mutations in each lesion of an individual patient, indicating a single cell progeny and clonal relationship. Hereby we show the monoclonal origin of histologically heterogeneous NSCLC and demonstrate the evolutionary relation of NSCLC cases carrying heteroplasmic mt-variants

Stomping in silence: Conceptualizing trampling effects on soils in polar tundra

Ungulate trampling modifies soils and interlinked ecosystem functions across biomes. Until today, most research has focused on temperate ecosystems and mineral soils while trampling effects on cold and organic matter‐rich tundra soils remain largely unknown. We aimed to develop a general model of trampling effects on soil structure, biota, microclimate and biogeochemical processes, with a particular focus on polar tundra soils. To reach this goal, we reviewed literature about the effects of trampling and physical disturbances on soils across biomes and used this to discuss the knowns and unknowns of trampling effects on tundra soils. We identified the following four pathways through which trampling affects soils: (a) soil compaction; (b) reductions in soil fauna and fungi; (c) rapid losses in vegetation biomass and cover; and (d) longer term shifts in vegetation community composition. We found that, in polar tundra, soil responses to trampling pathways 1 and 3 could be characterized by nonlinear dynamics and tundra‐specific context dependencies that we formulated into testable hypotheses. In conclusion, trampling may affect tundra soil significantly but many direct, interacting and cascading responses remain unknown. We call for research to advance the understanding of trampling effects on soils to support informed efforts to manage and predict the functioning of tundra systems under global changes.</li