Product Description:Large scientific facilities in the CAS open research project " Plant Germplasm Bank relies on DNA barcoding
research module identification " with the support of the research team at the Chinese plant seed plant barcode DNA barcoding research has made important progress, the results in recently published online in the United States . " national Academy of Sciences "on.
According to the team members, the CAS Kunming Institute of Botany researcher Gao Lian Ming, DNA barcodes are using standard gene fragments for fast and accurate species identification of new technologies. Mitochondrial cytochrome C oxidase gene CO1 has become an ideal animal DNA barcoding . However, due to a slower rate of evolution of plant mitochondrial genes, screening effective plant DNA barcoding has become "the International Barcode of Life program " one of the most important research tasks .
To this end, since 2009, the CAS Kunming Institute of Botany researcher Li baht joint nationwide 19 research institutes and universities to form a Chinese plant barcode research team. They mainly from China 's 75 families 141 seed plants are 1, 757 kinds of samples of about 6286 for comprehensive analysis, we found three candidate barcodes plasmid DNA fragments with high versatility ; nuclear ribosomal DNA ITS candidate barcode module identification in angiosperms in general higher, lower and in gymnosperms .
At the same time, they also found that : ITS species with the highest resolution, and the three fragments plasmid DNA barcodes can distinguish between any combination of 69.9% ~ 79.1% of the species. A partial sequence of the ITS ITS2 species also showed a higher resolution.
Therefore, the research team recommended that the core of ITS as a seed plant DNA barcoding, while emphasizing the use of multiple samples sampling and DNA fragments of different genetic methods to carry out the importance of plant DNA barcoding .
International Barcode of Life Coalition Chairman Pete Hollingsworth Plant Working Group believes that the paper was published, marking the inclusion in the DNA sequence data classification and identification of plant species level routine applications has taken an important step.
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