Bison and other game meats have become increasingly popular over the course of the past years, and these products have enjoyed an increase in pricing as a result. Bison, deer and beef meats have very similar appearances; in addition, bison and domestic cattle can cross-breed and therefore the meat cannot be distinguished by DNA barcoding alone. To ensure that bison meat was not mixed with other red meat species, a specific polymerase chain reaction method (PCR-SFLP) was used in a recently published study. Out of 45 commercial bison meat samples, three samples showed other meat species, which were not identified on the label.
By Casey Schlenker, Jenna Brooks, Kent Oostra, Ryan McLaughlin No Comments
This article discusses a non-targeted method for whole sample next generation DNA sequencing (NGS) that does not rely on DNA barcoding. DNA barcoding requires amplification of a specific gene region, which introduces bias. Our non-targeted method removes this bias by eliminating the amplification step. The applications of this method are broad and we have begun optimizing workflows for numerous materials, both processed and unprocessed. Some of the materials we have been able to successfully identify at the species level are fish tissue, fish meal, unrefined fish oil, unrefined plant-based oils (nuts, seeds, and fruits), specific components of cooked and processed products such as cookies and powders, and processed meats. Non-targeted NGS is also a very powerful tool to comprehensively identify constituents of microbial communities in probiotics and fermented products like kombucha. Additionally, this non-targeted technique is applicable to detection and identification of microbial contamination at various levels of manufacturing including equipment surfaces, processing water and assaying intermediate processing steps. In this communication we briefly review a current issue in the botanicals industry, discuss the methods that have been used in the past to tackle that problem, and present preliminary results from a pilot study we performed to determine the utility of non-targeted NGS in high-throughput identification of botanical raw materials.
The value of the global herbal dietary supplement (botanical) market was estimated to be greater than $90 billion in 2016, with a projected compound annual growth rate of 5-6%. Currently, regulators and manufacturers in this rapidly expanding market seek to confirm the veracity of label claims, investigate fraud, identify adulterants and ensure product quality.1 These products are often dried and ground, making visual identification difficult, time consuming and sometimes impossible.2 It is critical to this market that botanical identification be high-throughput, accurate and cost effective. Historically, various chromatography techniques have been used to meet this need, but those techniques rely on identification of molecules that can vary significantly due to storage conditions, which has led to the use of DNA barcoding as an analytical technique. However, DNA barcoding is not without significant challenges.1
For quite some time, scientists have had the ability to identify biological samples by sequencing their DNA.3 Currently DNA sequencing-based identification methods rely heavily on a technique called DNA barcoding, which functions analogously to the barcodes found on products in a grocery store. DNA barcoding amplifies a distinct small gene region that serves as a unique identifier and “scans” it by DNA sequencing.4 The advantages of this amplification are high sensitivity and simplification of data analysis. However, this amplification is not completely reliable and in practice can create biases and false positives.5 There is also the possibility that the amplification may fail, causing false negatives.6 When using DNA barcoding to identify botanical raw materials, numerous labs have observed notably high levels of apparent contamination.7 While it is certainly likely that some or even many botanical raw material samples contain contamination, it is also possible that the amplification-based method of DNA barcoding is itself contributing to the levels of contamination that are being observed.
We have partnered with Practical Informatics and Pacific Northwest Genomics to develop comprehensive whole sample DNA screening methods that don’t rely on amplification. To achieve this we are utilizing a non-targeted metagenomics workflow. Non-targeted metagenomic analysis is a powerful tool for examining the entire genetic content of a sample, instead of just one particular gene region (if a gene is a word or phrase, then a genome is the entire book, and the metagenome is the library). Unlike DNA barcoding, which requires PCR amplification, non-targeted metagenomic analysis requires no prior knowledge of a sample’s source and does not introduce the biases that plague PCR initiated methods. All of the DNA extracted from a sample is analyzed without targeting any particular gene region, relying instead on complex data analysis to identify the constituents (Figure 1). This is accomplished with the use of advanced molecular biology techniques and sophisticated computational methods, combined with a highly-curated database of species-identifying DNA sequences. Our research and development team has completed several experiments demonstrating the utility of a non-targeted DNA sequencing method.
Our research endeavors to solve the issues of DNA sequence analysis that originate with the PCR step by simply eliminating amplification from our process entirely. PCR amplification as a prelude to DNA sequencing traces to traditional technologies that were lower throughput and required large amounts of material. Current generation high-throughput DNA sequencing technologies do not require large amounts of starting material, and therefore amplification can be avoided. Many DNA barcoding methods require universal primers, which, during PCR, can amplify some products but not others, leading to false negatives. A solution to that issue is to use specific primers, however this is also inherently problematic as a certain foreknowledge of the sample identity is required. What is the advantage to our non-targeted sequencing method? There is no need to direct the analysis to any particular identification before sequencing, decreasing the introduction of bias and false negatives. As an added bonus, we don’t need to know what the sample is prior to analysis—we can tell you what it is rather than you telling us.
With more regulatory and consumer scrutiny being placed on the authenticity of food products, companies must use technologies that can verify products and ingredients, and detect contaminants. NSF International recently acquired AuthenTechnologies, a testing laboratory that provides DNA-species identification services to improve authenticity, safety and quality of natural products. Using shorter segments and validated reference materials, AuthenTechnologies employs a DNA sequencing method that can identify “almost any” species and detect contaminants that cannot be distinguished morphologically or chemically. The method also screens for allergens, GMOs, fillers and filth.
“As the food supply chain becomes more complex and regulations continue to evolve and become more rigorous, this technology is becoming essential to achieving regulatory compliance and brand protection while preventing issues associated with fraud, mislabeling and adulteration,” said Lori Bestervelt, Ph.D, international executive vice president and chief technology officer at NSF, in a company release. AuthenTechnologies’ co-founder Danica Harbaugh Reynauld, Ph.D., adds, “We’ve developed a more highly specific DNA methodology capable of identifying a single organism to a complex blend of unlimited ingredients.” Reynauld, who will join NSF as global director of scientific innovation, will lead the NSF AuthenTechnologies center of excellence with NSF’s global network of labs.
In comparison to DNA barcoding, next-generation DNA sequencing is highly specific and can identify species in highly processed materials and complex mixtures. DNA barcoding is unable to differentiate between closely related species and is less suitable in detecting extracts as well.
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