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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCNR</journal-id><journal-title-group><journal-title>Journal of Clinical and Nursing Research</journal-title></journal-title-group><issn>2208-3685</issn><eissn>2208-3693</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcnr.v8i3.6118</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis of the Authenticity of Stone Medicinal Plants by DNA Barcoding</title><url>https://artdesignp.com/journal/JCNR/8/3/10.26689/jcnr.v8i3.6118</url><author>CenYingmin</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2024-03-29</published-time></date></history><abstract>The genus Pyrrosia belongs to the family Polypodiaceae and are medium-sized epiphytic ferns, where the dried leaves of Pyrrosia lingua, Pyrrosia sheareri, Pyrrosia lanceolata, and Pyrrosia calvata are commonly used in medicinal practice. In this study, the authenticity of the collected medicinal plant samples of Shiwei was identified with the help of DNA barcoding technology using the internal transcribed spacer 2 (ITS2) as the identifying sequence. The experimental samples were analyzed using the basic local alignment search tool (BLAST) and the authenticity of the samples was further verified with the results of similarity comparison. The results proved that the sequences of the experimentally collected samples of Pyrrosia lingua, Pyrrosia sheareri, Pyrrosia lanceolata, and Pyrrosia calvata had a similarity of more than 97% when compared with the corresponding sequences that were uploaded on the Internet.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Chen S, Pang X, Yao H, et al., 2011, DNA Barcode Identification System and Research Direction of Traditional Chinese Medicine. 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