Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes

Indonesia has been estimated to contain 20,000 species of Magnoliophyta around the world. The current status of Indonesia's biodiversity shows that only 15.5% of the total flora in Indonesia has been identified. This is such a low percentage, requires researchers to obtain a rapid identificatio...

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Autores principales: Denia Dwi Citra Resmi, Topik Hidayat, Siti Sriyati
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Publicado: UIN Sunan Gunung Djati 2021
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Acceso en línea:https://doaj.org/article/997fdd9ccefe43f88003fe8a5147f902
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spelling oai:doaj.org-article:997fdd9ccefe43f88003fe8a5147f9022021-11-30T11:51:07ZDevelopment of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes2541-42082548-160610.15575/biodjati.v6i2.13991https://doaj.org/article/997fdd9ccefe43f88003fe8a5147f9022021-11-01T00:00:00Zhttps://journal.uinsgd.ac.id/index.php/biodjati/article/view/13991https://doaj.org/toc/2541-4208https://doaj.org/toc/2548-1606Indonesia has been estimated to contain 20,000 species of Magnoliophyta around the world. The current status of Indonesia's biodiversity shows that only 15.5% of the total flora in Indonesia has been identified. This is such a low percentage, requires researchers to obtain a rapid identification method, so that unidentified species can be grouped, at least at the level of the Magnoliopsida and Liliopsida classes. DNA barcoding is a technique that can be used to quickly identify species based on short sequences of specific regions in the genome. The purpose of this study was to analyze the relationship between Magnoliopsida and Liliopsida plants based on the mat-K marker and to obtain DNA barcodes for each of the Magnoliopsida and Liliopsida classes. This study used an in silico approach because the molecular data about these two selected classes with 101 species for samples are abundant in Genbank NCBI database. The primary design was carried out after analyzing the phylogenetic relationship between Magnoliopsida and Liliopsida. In silico analysis using BioEdit and PAUP to reconstructthe phylogenetic tree based on mat-K DNA showed results that were in line with previous studies. The phylogenetic tree using molecular data confirms that Magnoliopsida is the ancestor of Liliopsida. This study succeeded in obtaining two pairs of specific primers for Magnoliopsida and Liliopsida, which are cttcagtggtacggagtcaaat and gagccaaagttttagcacaagaa for Magnoliopsida, whereas cccatccatatggaaatcttggt and ttgaagccagaattgcttttcc for Liliopsida. These primers can later be used to distinguish the Magnoliopsida group from Liliopsida.Denia Dwi Citra ResmiTopik HidayatSiti SriyatiUIN Sunan Gunung Djatiarticledna barcode, liliopsida, magnoliopsida, mat-k, phylogeneticsBiology (General)QH301-705.5ENIDJurnal Biodjati, Vol 6, Iss 2, Pp 295-302 (2021)
institution DOAJ
collection DOAJ
language EN
ID
topic dna barcode, liliopsida, magnoliopsida, mat-k, phylogenetics
Biology (General)
QH301-705.5
spellingShingle dna barcode, liliopsida, magnoliopsida, mat-k, phylogenetics
Biology (General)
QH301-705.5
Denia Dwi Citra Resmi
Topik Hidayat
Siti Sriyati
Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
description Indonesia has been estimated to contain 20,000 species of Magnoliophyta around the world. The current status of Indonesia's biodiversity shows that only 15.5% of the total flora in Indonesia has been identified. This is such a low percentage, requires researchers to obtain a rapid identification method, so that unidentified species can be grouped, at least at the level of the Magnoliopsida and Liliopsida classes. DNA barcoding is a technique that can be used to quickly identify species based on short sequences of specific regions in the genome. The purpose of this study was to analyze the relationship between Magnoliopsida and Liliopsida plants based on the mat-K marker and to obtain DNA barcodes for each of the Magnoliopsida and Liliopsida classes. This study used an in silico approach because the molecular data about these two selected classes with 101 species for samples are abundant in Genbank NCBI database. The primary design was carried out after analyzing the phylogenetic relationship between Magnoliopsida and Liliopsida. In silico analysis using BioEdit and PAUP to reconstructthe phylogenetic tree based on mat-K DNA showed results that were in line with previous studies. The phylogenetic tree using molecular data confirms that Magnoliopsida is the ancestor of Liliopsida. This study succeeded in obtaining two pairs of specific primers for Magnoliopsida and Liliopsida, which are cttcagtggtacggagtcaaat and gagccaaagttttagcacaagaa for Magnoliopsida, whereas cccatccatatggaaatcttggt and ttgaagccagaattgcttttcc for Liliopsida. These primers can later be used to distinguish the Magnoliopsida group from Liliopsida.
format article
author Denia Dwi Citra Resmi
Topik Hidayat
Siti Sriyati
author_facet Denia Dwi Citra Resmi
Topik Hidayat
Siti Sriyati
author_sort Denia Dwi Citra Resmi
title Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
title_short Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
title_full Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
title_fullStr Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
title_full_unstemmed Development of DNA Barcode for Magnoliopsida and Liliopsida using In silico Approaches Based on mat-K Sequences from Chloroplast Genomes
title_sort development of dna barcode for magnoliopsida and liliopsida using in silico approaches based on mat-k sequences from chloroplast genomes
publisher UIN Sunan Gunung Djati
publishDate 2021
url https://doaj.org/article/997fdd9ccefe43f88003fe8a5147f902
work_keys_str_mv AT deniadwicitraresmi developmentofdnabarcodeformagnoliopsidaandliliopsidausinginsilicoapproachesbasedonmatksequencesfromchloroplastgenomes
AT topikhidayat developmentofdnabarcodeformagnoliopsidaandliliopsidausinginsilicoapproachesbasedonmatksequencesfromchloroplastgenomes
AT sitisriyati developmentofdnabarcodeformagnoliopsidaandliliopsidausinginsilicoapproachesbasedonmatksequencesfromchloroplastgenomes
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