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Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?

Overview of attention for article published in BMC Complementary Medicine and Therapies, August 2017
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Title
Should DNA sequence be incorporated with other taxonomical data for routine identifying of plant species?
Published in
BMC Complementary Medicine and Therapies, August 2017
DOI 10.1186/s12906-017-1937-3
Pubmed ID
Authors

Tanakorn Suesatpanit, Kitisak Osathanunkul, Panagiotis Madesis, Maslin Osathanunkul

Abstract

A variety of plants in Acanthaceae have long been used in traditional Thai ailment and commercialised with significant economic value. Nowadays medicinal plants are sold in processed forms and thus morphological authentication is almost impossible. Full identification requires comparison of the specimen with some authoritative sources, such as a full and accurate description and verification of the species deposited in herbarium. Intake of wrong herbals can cause adverse effects. Identification of both raw materials and end products is therefore needed. Here, the potential of a DNA-based identification method, called Bar-HRM (DNA barcoding coupled with High Resolution Melting analysis), in raw material species identification is investigated. DNA barcode sequences from five regions (matK, rbcL, trnH-psbA spacer region, trnL and ITS2) of Acanthaceae species were retrieved for in silico analysis. Then the specific primer pairs were used in HRM assay to generate unique melting profiles for each plants species. The method allows identification of samples lacking necessary morphological parts. In silico analyses of all five selected regions suggested that ITS2 is the most suitable marker for Bar-HRM in this study. The HRM analysis on dried samples of 16 Acanthaceae medicinal species was then performed using primer pair derived from ITS2 region. 100% discrimination of the tested samples at both genus and species level was observed. However, two samples documented as Clinacanthus nutans and Clinacanthus siamensis were recognised as the same species from the HRM analysis. Further investigation reveals that C. siamensis is now accepted as C. nutans. The results here proved that Bar-HRM is a promising technique in species identification of the studied medicinal plants in Acanthaceae. In addition, molecular biological data is currently used in plant taxonomy and increasingly popular in recent years. Here, DNA barcode sequence data should be incorporated with morphological characters in the species identification.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 13%
Student > Master 4 13%
Student > Ph. D. Student 2 6%
Lecturer 2 6%
Student > Bachelor 2 6%
Other 7 22%
Unknown 11 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 22%
Agricultural and Biological Sciences 5 16%
Engineering 3 9%
Environmental Science 2 6%
Medicine and Dentistry 2 6%
Other 2 6%
Unknown 11 34%
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 12 September 2017.
All research outputs
#20,446,373
of 23,001,641 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,988
of 3,641 outputs
Outputs of similar age
#276,208
of 316,368 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#82
of 106 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. 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 106 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.