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运用鸟枪法代谢组学对传统中药清果丸进行精确物种检测

Precise Species Detection in Traditional Herbal Patent Medicine, Qingguo Wan, Using Shotgun Metabarcoding.

作者信息

Liu Jinxin, Shi Mengmeng, Zhao Qing, Kong Weijun, Mu Weishan, Xie Hongbo, Li Zhongsi, Li Baoli, Shi Linchun

机构信息

Hebei Key Laboratory of Study and Exploitation of Chinese Medicine, Chengde Medical University, Chengde, China.

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.

出版信息

Front Pharmacol. 2021 Apr 28;12:607210. doi: 10.3389/fphar.2021.607210. eCollection 2021.

Abstract

As one of the high-incidence diseases in the world, pharyngitis seriously affects the lives of those with the condition. Qingguo Wan is a herbal medicine used for treating pharyngitis, and its quality evaluation is currently only accomplished via traditional identification. However, precise identification becomes challenging with fake products on the market or fungal contamination during the production process. This study used the Illumina NovaSeq platform for targeting the ITS2, , , and sequences to survey the species composition of lab-made and commercial samples. The results showed that a total of 34.56 Gb of raw data that was obtained represented more than 0.23 billion reads. After assembly, annotation, and operational taxonomic unit clustering, 103, 12, 10, and 12 OTUs were obtained, which belonged to the ITS2, , , and sequences of the mock lab-made and commercial samples. The analytical results indicated that the sequences of all the prescription ingredients were successfully obtained in the two lab-made samples. The positive control medicinal L. sequence was obtained in HSZY175, while Georgi, Thunb. DC. and Pall. were detected in the three commercial samples. The detection results of the other four herbs in different fragments were not all the same. In addition, a total of 28 fungi OTUs, representing 19 families and 20 genera, were obtained from both the commercial and mock lab-made samples. and dominated among the 20 genera. This study demonstrated that the shotgun metabarcoding method is a powerful tool for the molecular identification of the biological ingredients in Qingguo Wan. It can be used to effectively supplement traditional methods while providing a new technique for the quality evaluation of Qingguo Wan.

摘要

作为世界上的高发病之一,咽炎严重影响患者的生活。清果丸是一种用于治疗咽炎的草药,其质量评价目前仅通过传统鉴定完成。然而,面对市场上的假冒产品或生产过程中的真菌污染,精确鉴定变得具有挑战性。本研究使用Illumina NovaSeq平台靶向ITS2、、和序列,以调查实验室自制和市售样品的物种组成。结果显示,共获得34.56Gb的原始数据,代表超过2.3亿条读数。经过组装、注释和操作分类单元聚类后,获得了103、12、10和12个OTU,它们分别属于实验室自制和市售样品的ITS2、、和序列。分析结果表明,在两个实验室自制样品中成功获得了所有处方成分的序列。在HSZY175中获得了阳性对照药材L.的序列,而在三个市售样品中检测到了Georgi、Thunb. DC.和Pall.。其他四种草药在不同片段中的检测结果并不完全相同。此外,从市售和实验室自制样品中总共获得了28个真菌OTU,代表19个科和20个属。在这20个属中,和占主导地位。本研究表明,鸟枪法宏条形码技术是清果丸生物成分分子鉴定的有力工具。它可用于有效补充传统方法,同时为清果丸的质量评价提供一种新技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75fd/8113863/3bcebb5b7e6b/fphar-12-607210-g001.jpg

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