Li Yi, Lu Jiao-Jiao, An Ya-Bin, Jiang Lan, Wu Hai-Jun, Wang Ke, Phurbu Dorji, Luobu Jinmei, Ma Chao, Yang Rui-Heng, Dong Cai-Hong, Yao Yi-Jian
School of Food Science and Engineering, Yangzhou University, Yangzhou, Jiangsu, China Institute of Microbiology, Chinese Academy of Sciences Beijing China.
State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China Yangzhou University Yangzhou China.
IMA Fungus. 2025 Mar 31;16:e144783. doi: 10.3897/imafungus.16.144783. eCollection 2025.
is one of the best-known traditional Chinese medicines with distribution confined to the Tibetan Plateau and its surrounding regions. Harvesting the fungus contributes greatly to the livelihood of local communities. The quality and price varies amongst different production regions, usually resulting in an intentional mix-up of its production locality during trading processes, which leads to a demand of developing a reliable way that can trace the geographical origin of this fungus. In the present study, a DNA barcoding-based method applying two universal DNA barcodes for identifying fungal and insect, respectively i.e. the nuclear ribosomal internal transcribed spacer (ITS) and the mitochondrial cytochrome oxidase I (COI), was evaluated and used for geographical origin authentication of . A total of 24 ITS and 78 COI haplotypes were recognised from 215 individuals collected from 75 different geographic localities (county level). Ninety-nine haplotypes were defined using the combination of ITS and COI, discriminating the 75 investigated production counties into 99 distinct regions. A "core" production region was recognised which covers areas of Nagqu and Qamdo in Xizang, Yushu and Guoluo in Qinghai, Gannan (Maqu and Xiahe) in Gansu and certain regions in Nyingch (Bomi and Zayü) and Lhasa (Damxung) in Xizang and Garzê (Sêrxü) in Sichuan Province. Haplotype analyses using the combined barcodes of ITS and COI showed an excellent performance in the geographical origin authentication of and the definition of "core" and "non-core" production region.
是最著名的传统中药之一，其分布局限于青藏高原及其周边地区。采集这种真菌对当地社区的生计有很大贡献。不同产地的质量和价格各不相同，这通常导致在交易过程中故意混淆其产地，从而需要开发一种可靠的方法来追踪这种真菌的地理来源。在本研究中，评估了一种基于DNA条形码的方法，该方法分别应用两种通用DNA条形码来鉴定真菌和昆虫，即核糖体内部转录间隔区（ITS）和线粒体细胞色素氧化酶I（COI），并将其用于的地理来源鉴定。从75个不同地理地点（县级）采集的215个个体中，共识别出24个ITS单倍型和78个COI单倍型。使用ITS和COI的组合定义了99个单倍型，将75个被调查的生产县划分为99个不同的区域。识别出一个“核心”生产区域，该区域覆盖西藏的那曲和昌都、青海的玉树和果洛、甘肃的甘南（玛曲和夏河）以及西藏林芝（波密和察隅）、拉萨（当雄）的某些地区和四川省甘孜（色须）。使用ITS和COI组合条形码的单倍型分析在的地理来源鉴定以及“核心”和“非核心”生产区域的定义方面表现出色。
