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Identifying efficiency in herbal medicine Cinnamomum species (Lauraceae) using banding patterns and sequence alignments of rpoB, rbcL and matK regions


Paper Type 
Contributed Paper
Title 
Identifying efficiency in herbal medicine Cinnamomum species (Lauraceae) using banding patterns and sequence alignments of rpoB, rbcL and matK regions
Author 
Runglawan Sudmoon [a], Arunrat Chaveerach *[a], Arisa Sanubol [a], Pansa Monkheang [a], Nantiya Kwan
Email 
raccha@kku.ac.th
Abstract:

 Genus Cinnamomum is an important plant group containing aromatic oils in its leaves and bark. These oils are widely used in flavoring agents for foods, cosmetic and pharmaceutical preparations, and in other traditional and prepared forms. The Cinnamomum diversity in Thailand was investigated and identified in areas where it naturally grows. There were seven known species, seven unknown species, one traditional form, and two prepared forms included in this research. The unknown species which had no reproductive parts were identified firstly by comparing their random amplified polymorphic DNA (RAPD) banding patterns to the known species. The 15 different primers produced a total of 983 bands, which were successfully used to construct a dendrogram that distinctly separates species with genetic similarity values ranging from 0.56 to 0.84 accordingly to show different leaf characters. DNA barcodes with matK, rbcL, and rpoB gene regions were constructed in all studied samples. Compared to some sequences from GenBank, the genetic distances in the regions were 0.00 to 0.52, 0.00 to 0.36, and 0.00 to 0.30, respectively. Considering these values, some different species showed no genetic distances. To summarize, the three regions cannot be used to identify these Cinnamomum species as there are no distinct sequence variations between many different species.

Start & End Page 
1094 - 1108
Received Date 
2013-01-29
Revised Date 
Accepted Date 
2013-05-01
Full Text 
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Keyword 
Cinnamomum, DNA barcode, herbal medicine, RAPD
Volume 
Vol.41 No.5/1 (OCTOBER 2014)
DOI 
SDGs
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Chiang Mai Journal of Science

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