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Molecular identification of Uncaria (Gouteng) through DNA barcoding

Overview of attention for article published in Chinese Medicine, February 2016
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Title
Molecular identification of Uncaria (Gouteng) through DNA barcoding
Published in
Chinese Medicine, February 2016
DOI 10.1186/s13020-015-0072-7
Pubmed ID
Authors

Yin-lin Tang, Yao-sheng Wu, Rui-song Huang, Nai-xia Chao, Yong Liu, Peng Xu, Ke-zhi Li, Dan-zhao Cai, Yu Luo

Abstract

While DNA barcoding is an important technology for the authentication of the botanical origins of Chinese medicines, the suitable markers for DNA barcoding of the genus Uncaria have not been reported yet. This study aims to determine suitable markers for DNA barcoding of the genus Uncaria (Gouteng). Genomic DNA was extracted from the freshly dried leaves of Uncaria plants by a Bioteke's Plant Genomic DNA Extraction Kit. Five candidate DNA barcode sites (ITS2, rbcL, psbA-trnH, ITS, and matK) were amplified by PCR with established primers. The purified PCR products were bidirectionally sequenced with appropriate amplification primers in an ABI-PRISM3730 instrument. The candidate DNA barcodes of 257 accessions of Uncaria in GenBank were aligned by ClustalW. Sequence assembly and consensus sequence generation were performed with CodonCode Aligner 3.7.1. The identification efficiency of the candidate DNA barcodes was evaluated with BLAST and nearest distance methods. The interspecific divergence and intraspecific variation were assessed by the Kimura 2-Parameter model. Genetic distances were computed with Molecular Evolutionary Genetics Analysis 6.0. The accessions of the five candidate DNA barcodes from 11 of 12 species of Uncaria in China and four species from other countries were included in the analysis, while 54 of total accessions were submitted to GenBank. In a comparison of the interspecific genetic distances of the five candidate barcodes, psbA-trnH exhibited the highest interspecific divergence based on interspecific distance, theta prime, and minimum interspecific distance, followed by ITS2. The distribution of the interspecific distance of ITS2 and psbA-trnH was higher than the corresponding intraspecific distance. Additionally, psbA-trnH showed 95.9 % identification efficiency by both the BLAST and nearest distance methods regardless of species or genus level. ITS2 exhibited 92.2 % identification efficiency by the nearest distance method, but 87 % by the BLAST method. While psbA-trnH and ITS2 (used alone) were applicable barcodes for species authentication of Uncaria, psbA-trnH was a more suitable barcode for authentication of Uncaria macrophylla.

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Mendeley readers

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 7 18%
Researcher 6 16%
Student > Bachelor 3 8%
Unspecified 2 5%
Other 7 18%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 29%
Biochemistry, Genetics and Molecular Biology 10 26%
Unspecified 2 5%
Medicine and Dentistry 2 5%
Business, Management and Accounting 1 3%
Other 5 13%
Unknown 7 18%
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 05 February 2016.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Chinese Medicine
#320
of 660 outputs
Outputs of similar age
#246,751
of 405,859 outputs
Outputs of similar age from Chinese Medicine
#5
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,859 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.