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Quality Control of the Traditional Patent Medicine Yimu Wan Based on SMRT Sequencing and DNA Barcoding

Overview of attention for article published in Frontiers in Plant Science, May 2017
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Title
Quality Control of the Traditional Patent Medicine Yimu Wan Based on SMRT Sequencing and DNA Barcoding
Published in
Frontiers in Plant Science, May 2017
DOI 10.3389/fpls.2017.00926
Pubmed ID
Authors

Jing Jia, Zhichao Xu, Tianyi Xin, Linchun Shi, Jingyuan Song

Abstract

Substandard traditional patent medicines may lead to global safety-related issues. Protecting consumers from the health risks associated with the integrity and authenticity of herbal preparations is of great concern. Of particular concern is quality control for traditional patent medicines. Here, we establish an effective approach for verifying the biological composition of traditional patent medicines based on single-molecule real-time (SMRT) sequencing and DNA barcoding. Yimu Wan (YMW), a classical herbal prescription recorded in the Chinese Pharmacopoeia, was chosen to test the method. Two reference YMW samples were used to establish a standard method for analysis, which was then applied to three different batches of commercial YMW samples. A total of 3703 and 4810 circular-consensus sequencing (CCS) reads from two reference and three commercial YMW samples were mapped to the ITS2 and psbA-trnH regions, respectively. Moreover, comparison of intraspecific genetic distances based on SMRT sequencing data with reference data from Sanger sequencing revealed an ITS2 and psbA-trnH intergenic spacer that exhibited high intraspecific divergence, with the sites of variation showing significant differences within species. Using the CCS strategy for SMRT sequencing analysis was adequate to guarantee the accuracy of identification. This study demonstrates the application of SMRT sequencing to detect the biological ingredients of herbal preparations. SMRT sequencing provides an affordable way to monitor the legality and safety of traditional patent medicines.

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Mendeley readers

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Student > Ph. D. Student 3 15%
Other 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 6 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Agricultural and Biological Sciences 4 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Social Sciences 1 5%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2017.
All research outputs
#20,433,667
of 22,986,950 outputs
Outputs from Frontiers in Plant Science
#16,335
of 20,444 outputs
Outputs of similar age
#275,480
of 316,440 outputs
Outputs of similar age from Frontiers in Plant Science
#509
of 587 outputs
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So far Altmetric has tracked 20,444 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 587 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.