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Molecular identification of Saraca asoca from its substituents and adulterants

Overview of attention for article published in 3 Biotech, March 2018
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Title
Molecular identification of Saraca asoca from its substituents and adulterants
Published in
3 Biotech, March 2018
DOI 10.1007/s13205-018-1175-5
Pubmed ID
Authors

Satisha Hegde, Archana Saini, Harsha Vasudev Hegde, Sanjiva D. Kholkute, Subarna Roy

Abstract

Saraca asoca (Roxb.) De Wilde is an important medicinal plant from the Western Ghats of India, traditionally used in treatment of various gynecological disorders. Increasing commercial demand and decreasing numbers has resulted in this plant becoming endangered with crude drug materials being extensively substituted/adulterated with other plant species. The present study was undertaken with the objective of development and evaluation of multivariate cluster analysis of ISSR fingerprints againstrbcL-based DNA barcodes as tool to understand the relationships and to differentiate common adulterants and substituents fromS. asoca. ISSR-based Hierarchical Cluster Analysis was carried out on 41 samples ofS. asocaand 5 each of the 5 common substituent/adulterant plants and the clustering patterns were evaluated against DNA-sequence-based barcoding ofrbcLregion of their plastids. Factorial analysis and Principal Coordinate Analysis revealed distinct groups of genetic pools of respective taxa thereby confirming the utility of ISSR fingerprinting as a useful tool for differentiation between the genuine and the adulterants/substituents. NCBI-BLAST search on DNA barcoderbcLregion confirmed the results of ISSR assays. Therefore, our study demonstrated the utility of simple, cost-effective method of ISSR fingerprinting coupled withrbcLbarcoding in differentiating this important medicinal plant from its common adulterants/substituents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 11 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 23%
Agricultural and Biological Sciences 4 18%
Medicine and Dentistry 1 5%
Unknown 12 55%
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 14 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from 3 Biotech
#821
of 1,250 outputs
Outputs of similar age
#293,436
of 332,024 outputs
Outputs of similar age from 3 Biotech
#36
of 53 outputs
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