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The Study on DNA Barcoding of Cultivars of Poplar in Hebei

Author: CaoHaiDan
Tutor: LiuJian
School: Changchun University of Science and Technology
Course: Biomedical Engineering
Keywords: poplar DNA barcoding sequence blast species identification ITS2+matK
CLC: S792.11
Type: Master's thesis
Year: 2013
Downloads: 4
Quote: 0
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Abstract


Poplar species are one of the major species for afforestation, wind sheltering and sand fixation, water and soil conservation in China. Famous for its fast-growing, easy-reproducing and high-yield characteristics, Poplar have been widely cultivated over China and have grown up to a big family containing more than100species. The regular identification approaches effectively applied in other plant genus, however, cannot always distinguish between Poplar species due to plant tissue aging and degradation. Therefore, a stable and efficient approach is needed to fulfill the job.This project selected15Poplar species from Hebei area as samples and set up a universal protocol for genomic DNA extraction and purification from Poplar and other common plants. We used this optimized protocol to purify genomic DNA of selected Poplar samples and got high-quality DNA for downstream studies. With the application of DNA barcoding technology, we selected3favorite barcoding marker (ITS2, rbcL, matK) and amplified them via PCR system based on the purified DNA. The PCR products were then sequenced and assembled. By comparing the efficiency of amplification and sequencing for the3barcoding markers, with further evaluation on species identification efficiency via Distance method, the barcoding efficiency based on3markers was finally dissolved.Results showed that, combination of ITS2+matK can100%discriminate between15species studied, while ITS2, rbcL, matK and matK+rbcL can only reach50%,17.9%,50%and57.1%, respectively. Thus, ITS2+matK is promising to act as potential barcoding choice in identification between species in Poplar.

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CLC: > Agricultural Sciences > Forestry > Forest tree species > Broad-leaved trees > Young
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