DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY
Indonesia is a country with the third largest tropical rain forest in the world after Brazil and the Democratic Republic of the Congo with a higher diversity of flora and fauna than South America and Africa, one of which is Dipterocarpaceae wood plants. Dipterocarpaceae is a woody plant that has a...
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id-itb.:650252022-06-20T10:04:57ZDEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY Nurkhusis, Dita Kimia Indonesia Final Project Dipterocarpaceae, illegal logging, SNP, trnL INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/65025 Indonesia is a country with the third largest tropical rain forest in the world after Brazil and the Democratic Republic of the Congo with a higher diversity of flora and fauna than South America and Africa, one of which is Dipterocarpaceae wood plants. Dipterocarpaceae is a woody plant that has a very high economic value, so it has great potential as an object in illegal logging cases that often occur in Indonesia. As one of the efforts to overcome illegal logging cases, especially Dipterocarpaceae wood plants, we need a method that can determine the origin of the wood, including the morphological identification method, but this method is less accurate when used to identify logs or wood that has been processed. Therefore, an alternative method is needed, namely the SNP-based genetic marker (Single Nucleotide Polymorphism) method that can distinguish Dipterocarpaceae to the genus and species levels. The purpose of this study was to find candidate SNP-based genetic markers using the trnL gene for the identification of endemic Indonesian Dipterocarpaceae at the genus and species levels. In a computational-based study, sequences of the trnL marker genes of the endemic Indonesian Dipterocarpaceae were collected from the NCBI public database, grouped by genus and species, and alignment was performed at the genus and species level using ClustalW in the BioEdit software. SNP search was performed on the alignment results. The results of this study showed that 7 of the 8 genera analyzed had diagnostic SNPs for identification between genera (Vatica did not have diagnostic SNPs), while for identification between species, diagnostic SNPs were found in 3 genera (Dryobalanops, Hopea, and Shorea). There is 1 genus (Vatica) which has SNP but not diagnostic and 4 genera that do not have SNP, namely Anisoptera, Cotylelobium, Dipterocarpus, and Parashorea. text |
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Kimia Nurkhusis, Dita DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
description |
Indonesia is a country with the third largest tropical rain forest in the world after Brazil and the
Democratic Republic of the Congo with a higher diversity of flora and fauna than South America and
Africa, one of which is Dipterocarpaceae wood plants. Dipterocarpaceae is a woody plant that has a
very high economic value, so it has great potential as an object in illegal logging cases that often
occur in Indonesia. As one of the efforts to overcome illegal logging cases, especially
Dipterocarpaceae wood plants, we need a method that can determine the origin of the wood,
including the morphological identification method, but this method is less accurate when used to
identify logs or wood that has been processed. Therefore, an alternative method is needed, namely the
SNP-based genetic marker (Single Nucleotide Polymorphism) method that can distinguish
Dipterocarpaceae to the genus and species levels. The purpose of this study was to find candidate
SNP-based genetic markers using the trnL gene for the identification of endemic Indonesian
Dipterocarpaceae at the genus and species levels. In a computational-based study, sequences of the
trnL marker genes of the endemic Indonesian Dipterocarpaceae were collected from the NCBI public
database, grouped by genus and species, and alignment was performed at the genus and species level
using ClustalW in the BioEdit software. SNP search was performed on the alignment results. The
results of this study showed that 7 of the 8 genera analyzed had diagnostic SNPs for identification
between genera (Vatica did not have diagnostic SNPs), while for identification between species,
diagnostic SNPs were found in 3 genera (Dryobalanops, Hopea, and Shorea). There is 1 genus
(Vatica) which has SNP but not diagnostic and 4 genera that do not have SNP, namely Anisoptera,
Cotylelobium, Dipterocarpus, and Parashorea. |
format |
Final Project |
author |
Nurkhusis, Dita |
author_facet |
Nurkhusis, Dita |
author_sort |
Nurkhusis, Dita |
title |
DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
title_short |
DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
title_full |
DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
title_fullStr |
DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
title_full_unstemmed |
DEVELOPMENT OF SNP-BASED GENETIC MARKERS FOR THE IDENTIFICATION OF INDONESIAN ENDEMIC DIPTEROCARPACEAE FAMILY |
title_sort |
development of snp-based genetic markers for the identification of indonesian endemic dipterocarpaceae family |
url |
https://digilib.itb.ac.id/gdl/view/65025 |
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1822932611605987328 |