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All Journal Biosaintifika: Journal of Biology & Biology Education
Dewi Indriyani Roslim
Laboratorium Genetika, Jurusan Biologi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Riau, Indonesia
Agriculture, Biological Sciences & Forestry

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Application of rps16 Intron and trnL-trnF Intergenic Spacer Sequences to Identify Rengas Clone Riau Dewi Indriyani Roslim; Herman Herman
Biosaintifika: Journal of Biology & Biology Education Vol 9, No 2 (2017): August 2017
Publisher : Department of Biology, Faculty of Mathematics and Sciences, Semarang State University . Ro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v9i2.9108

Abstract

Rengas clone Riau has been identified using morphological characters and molecular technique with a psbA-trnH intergenic spacer, however, this method can only determine its taxonomic status at genus level, namely Gluta sp.  This study reports application two DNA barcodes, i.e. rps16 intron and trnL-trnF intergenic spacer, to identify Rengas clone Riau.  The methods included collection of the leaves from Kajuik Lake, total DNA isolation, electrophoresis, PCR (polymerase chain reaction), gel purification and sequencing.  The rps16 intron size was 659 bp and the trnL-trnF intergenic spacer was 527 bp. The BLASTn analysis showed that sequences of the rps16 intron and the trnL-trnF intergenic spacer of Gluta sp clone Riau had 100% similarity to those of G. renghas deposited in GenBank.  These results were supported by high max score, high total score, query cover = 100%, and E-value = 0.  The dendrograms also showed the closest relationship of Gluta sp clone Riau with G. renghas deposited in GenBank compared to other species of Gluta.  In conclusion, this study succeeded in identifying Rengas clone Riau as Gluta renghas by using sequences of the rps16 intron and the trnL-trnF intergenic spacer. A combination of DNA barcodes could be applied to identify various plants as long as the database for the DNA barcodes is available in public database such as GenBank. 
Co-Authors Herman Herman