Development and validation of a duplex real-time PCR assay with locked nucleic acid (LNA) probes for the specific detection of allergenic walnut in complex food matrices

Development of a duplex qPCR assay with locked nucleic acid probes for A, B and E kappa-casein variants detection

Milk proteins determine important milk technological characteristics. Among caseins, Ƙ-casein has been correlated with fat and protein content and cheese yield. Fourteen Ƙ-caseins variants have been described but the alleles A, B and E are the most important ones due to their frequency and/or influence on the technological aptitudes of milk. Therefore, in the present study two different duplex qPCR assays with locked nucleic acid probes (for positions 13104 and 13124 of the Ƙ-casein gene) were developed for the detection of A, B and E variants. Firstly, DNA isolation method from milk somatic cells and hair was optimised. The developed 13124-qPCR assay showed an increased sensitivity reaching up to 6.7 copies DNA copies/reaction at a 95% confidence level with A, B and E alleles reference samples. The 13104-qPCR assay reached up to 6.7 DNA copies/reaction for A allele reference sample and 67 DNA copies/reaction for B and E samples. Intra-assay variation results were below 6%. Applicability was determined using DNA samples from animals with known genotype for Ƙ-casein (AA, AB, BB, BE, AE, EE) and both assays were able to discriminate among the six genotypes with 100% accuracy. Thus, this qPCR method represents a sensitive and rapid option for the detection of Ƙ-casein alleles in both hair and milk samples.

Novel LNA probe-based assay for the A1 and A2 identification of β-casein gene in milk samples

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A novel LNA probe-based qPCR allowed the detection of A1 and A2 alleles from β -casein gene in bovine samples.

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100% of agreement between results obtained by rHamp and LNA qPCR assays.

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The limit of detection of A1 in A2 samples was 1% or 7.5 DNA copies.

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This method is a highly sensitive and specific tool for detecting A1 and A2 alleles directly in milk.

The rising consumption of A2 milk and its derivatives in recent years has garnered attention from both consumers and producers, mainly due its possible health benefits, such as enhanced digestion and easier absorption. Thus, a novel real-time PCR using a combination of locked nucleic acid modified (LNA) conjugated probes was developed to genotype A1 and A2 alleles of β-casein gene (CSN2) and to detect and quantify the A1 presence in A2 samples. The limit of detection for each probe (A1 and A2) was evaluated using decreasing serial dilutions. Besides, the sensitivity of A1 allele detection in the A2 samples was also tested. The limits of detection of A1 and A2 alleles were 6 copies, while for A1 allele detection in A2 samples was 7.5 copies (1%). The LNA-probe based method was found to be rapid, robust, highly sensitive, cost effective, and can be employed as screening test to certificate the A2 dairy products.

Utilizing Big Data to Identify Tiny Toxic Components: Digitalis

The botanical genus Digitalis is equal parts colorful, toxic, and medicinal, and its bioactive compounds have a long history of therapeutic use. However, with an extremely narrow therapeutic range, even trace amounts of Digitalis can cause adverse effects. Using chemical methods, the United States Food and Drug Administration traced a 1997 case of Digitalis toxicity to a shipment of Plantago (a common ingredient in dietary supplements marketed to improve digestion) contaminated with Digitalis lanata. With increased accessibility to next generation sequencing technology, here we ask whether this case could have been cracked rapidly using shallow genome sequencing strategies (e.g., genome skims). Using a modified implementation of the Site Identification from Short Read Sequences (SISRS) bioinformatics pipeline with whole-genome sequence data, we generated over 2 M genus-level single nucleotide polymorphisms in addition to species-informative single nucleotide polymorphisms. We simulated dietary supplement contamination by spiking low quantities (0-10%) of Digitalis whole-genome sequence data into a background of commonly used ingredients in products marketed for "digestive cleansing" and reliably detected Digitalis at the genus level while also discriminating between Digitalis species. This work serves as a roadmap for the development of novel DNA-based assays to quickly and reliably detect the presence of toxic species such as Digitalis in food products or dietary supplements using genomic methods and highlights the power of harnessing the entire genome to identify botanical species.

Suitability of DNA Sequencing Tools for Identifying Edible Seaweeds Sold in the United States

Seaweeds have been consumed by billions of people around the world and are increasingly popular in United States (US) diets. Some seaweed species have been associated with adverse health effects-such as heavy metal toxicity-and higher priced seaweeds may be more prone to adulteration. Knowing which species of seaweeds are being marketed in the US is important for protecting human health and preventing economic adulteration. Therefore, the United States Food and Drug Administration is developing new DNA-based species identification tools to complement established chemical methods for verifying the accurate labeling of products. Here, seaweed products available in the United States were surveyed using a tiered approach to evaluate a variety of DNA extraction techniques followed by traditional DNA barcoding via Sanger sequencing; if needed, genome skimming of total extracted nuclear DNA via next-generation sequencing was performed. This two-tiered approach of DNA barcoding and genome skimming could identify most seaweed samples (41/46), even those in blends (2/2, 1 out of 3 labeled species in each). Only two commercial samples appeared to be mislabeled or to contain unintended algal species. Five samples, labeled as "hijiki" or "arame", could not be confirmed by these DNA-based identification methods.