The latest progress of the next generation of DNA sequencing has led to the discovery of new genotypes in PANAX ginseng, thus completely changing our way of certification and understanding of this drug -oriented plant. Researchers from Simon Fraser University, Christopher Oberc and Paul Li from Christopher Oberc, use complex technologies to reveal these genotypes, which marks the field of plant genetics. The major leap. Their discovery was published on Heliyon and introduced the method and meaning of this pioneering work in detail.
Panax Ginseng and Panax Quinquefolius are usually called Chinese/Korean ginseng and American/Canadian ginseng. They are the two main species in PANAX. Despite the differences in morphological science, when dealing with commercial products such as thin slices or powder, they distinguish them to become challenging. Overcoming these limitations of genetic identity verification has become a vital tool.
Dr. Oberc and Dr. Li used the next -generation sequencing (NGS) in their research, analyzing 14 people’s ginseng samples in various forms. This method allows them to read millions of DNA from each sample. Using the Burrows-TheEler’s pool (BWA) and Python-based clustering analysis, they identified a new genotype in the sample. The two samples are determined, and some samples show the mixed characteristics, revealing the complex genetic properties of these plants.
Dr. Li said: “The next generation of sequencing provides a powerful platform for the foundation of genetic mutations other than simple mutations.” The team applies a machine learning algorithm called the Gaussian mixture cluster to analyze the sequencing data, so that they can be able to be able Classify ginseng samples into different genotypes. The study revealed the genotypes that had not been reported before, adding a layer of understanding of our understanding of the genetic diversity of the PANAX species.
One of the key discoveries is the recognition of CCG genotypes, which have not been recorded before. This genetic meaning exceeds academic interests. The genetic certification of ginseng can significantly affect the commercial industry, thereby ensuring the purity and authenticity of ginseng products. This is particularly important to consider the high market value and the importance of drugs. With these new gene -type information, manufacturers can better verify the authenticity of their products, so that consumers have higher confidence in the quality of ginseng purchased.
In addition, the study emphasizes the potential for using genetic information to improve ginseng training and commercialization. By understanding the genetic diversity in the PANAX species, researchers and farmers can develop better breeding and human participation strategies to optimize their medicinal characteristics and market value.
The successful application of NGS and machine learning analysis in this study also set a precedent for future plant genetic research. Methods developed by Dr. Oberc and Dr. LI can be adapted and applied to other plant species, thereby enhancing our ability to genet and study various medicinal plants. This progress has opened up a new way for the research and development of herbal medicine fields. There, genetic certification is essential for ensuring the safety and effectiveness of herbal products.
In short, the work of Christopher Oberc and Dr. Paul Li represents the major progress of the genetic certification of Panax Ginseng. They used the next -generation sequencing to find that the new genotype not only deepened our understanding of the genetic diversity of human ginseng, but also provided practical tools to ensure the authenticity and quality of ginseng products. This research examples have proved the power of modern genetic technology in progress and the practical application of practical applications in the field of medicinal plants.
Journal reference
Oberc, C. And Li, PCH (2024). The next-generation DNA sequencing of the PANAX sample reveals the new genotypes: Burrows-Wheler’s alignment, the abundance and clustering analysis based on Python. Heliyon, 10, E29104. DOI:
