Jingyuan Song

Title: Innovations of Jingyuan Song in Eukaryotic Species Identification

Introduction

Jingyuan Song is a prominent inventor based in Beijing, China. He has made significant contributions to the field of eukaryotic species identification through innovative methods that leverage whole genome analysis. With a total of 3 patents, his work is paving the way for advancements in biological research and applications.

Latest Patents

One of Jingyuan Song's latest patents is a method for identifying species of eukaryotes based on whole genome analysis. This method allows for the identification of species from a eukaryotic sample by utilizing a species-specific target sequence obtained through screening. The method boasts high specificity, sensitivity, and repeatability, enabling rapid species identification without the need for large-scale professional instruments.

Another notable patent involves a method for identifying plant species through whole genome analysis and genome editing. This innovative approach, referred to as GAGE, includes screening PAM-carrying sequences from the genome of the plant to be identified. By aligning these sequences with genomes of counterfeit and closely related species, target sequences unique to the plant can be selected. The method employs a genome editing system to design and synthesize CRISPR RNA, which guides a Cas protein to bind with the target sequence, ultimately allowing for the identification of the plant species through fluorescent signal detection.

Career Highlights

Jingyuan Song is affiliated with the Chinese Academy of Medical Sciences, where he continues to advance research in his field. His work has garnered attention for its practical applications in species identification, which is crucial for biodiversity studies and agricultural advancements.

Collaborations

Some of his notable coworkers include Tianyi Xin and Lijun Hao, who contribute to the collaborative efforts in research and development within the academy.

Conclusion

Jingyuan Song's innovative methods in eukaryotic species identification represent a significant leap forward in biological research. His contributions are not only enhancing scientific understanding but also providing practical solutions for species identification in various applications.