ANALISIS MOLEKULER BERBASIS PENANDA trnL-F UNTUK DETEKSI TUMBUHAN LANGKA SECARA IN SILICO

    Santana Kocha, - and Topik Hidayat, - and Hernawati, - (2025) ANALISIS MOLEKULER BERBASIS PENANDA trnL-F UNTUK DETEKSI TUMBUHAN LANGKA SECARA IN SILICO. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Penelitian ini bertujuan mengembangkan primer diagnostik berbasis penanda trnL-F secara in silico untuk mendeteksi tumbuhan langka. Biodiversitas mencakup variasi kehidupan di bumi, dari gen, spesies, hingga ekosistem. Semakin tinggi keanekaragaman hayati, semakin stabil dan produktif suatu ekosistem. Selain itu, variasi genetik membantu organisme beradaptasi terhadap perubahan lingkungan dan iklim. Menurut IUCN, lebih dari 40% spesies tumbuhan di dunia terancam punah akibat perubahan iklim, ketidakstabilan genom, deforestasi, dan aktivitas manusia. Gangguan ini dapat merusak fungsi gen penting dan mengurangi kemampuan adaptasi, membuat tumbuhan langka semakin rentan terhadap kepunahan. Maka dari itu upaya konservasi sangat dibutuhkan, namun identifikasi dan karakterisasi tumbuhan langka masih menjadi tantangan karena metode tradisional karena sering kurang akurat. Kelemahan penanda morfologi mendorong penggunaan penanda molekuler DNA. DNA barcode berbasis trnL-F memungkinkan identifikasi in silico secara cepat, akurat, dan non-destruktif. Teknik in silico PCR juga memungkinkan perancangan eksperimen secara efisien, murah, dan tanpa laboratorium. Sebanyak 30 sekuens DNA tumbuhan langka dari data IUCN dianalisis menggunakan perangkat lunak ClustalX, BioEdit, dan FastPCR. Dari analisis ini dihasilkan 12 kandidat primer (6 forward dan 6 reverse). Uji in silico PCR terhadap 12 spesies langka menunjukkan satu pasangan primer terbaik, yaitu forward (1:F_255–277) dan reverse (1:R_355–375). Uji efektivitas terhadap 12 spesies non-langka menunjukkan spesifisitas 100% dengan hasil PCR negatif. Berdasarkan hal tersebut dapat diartikan bahwa temuan ini menunjukkan pasangan primer tersebut sangat potensial untuk deteksi dan konservasi tumbuhan langka secara efisien dan akurat. This study aims to develop diagnostic primers based on trnL-F markers in silico to detect rare plants in an effort to conserve rare plants. Biodiversity encompasses the variety of life on earth, from genes, to species, to ecosystems. The higher the biodiversity, the more stable and productive an ecosystem is. In addition, genetic variation helps organisms adapt to environmental and climate changes. According to the IUCN, more than 40% of the world's plant species are threatened by climate change, genome instability, deforestation and human activities. These disruptions can impair the function of important genes and reduce adaptability, making rare plants even more vulnerable to extinction. Conservation efforts are therefore urgently needed, but identification and characterization of rare plants remains a challenge due to traditional methods that often lack accuracy. The weakness of morphological markers encourages the use of DNA molecular markers. The trnL F-based DNA barcode enables fast, accurate and non-destructive in silico identification. The in silico PCR technique also allows the design of experiments efficiently, cheaply, and without a laboratory. The method applied in this research is descriptive research. A total of 30 rare plant DNA sequences from IUCN data were analyzed using ClustalX, BioEdit, and FastPCR software. This analysis resulted in 12 candidate primers (6 forward and 6 reverse). In silico PCR tests on 12 rare species showed one best primer pair, namely forward (1:F_255-277) and reverse (1:R_355-375). The effectiveness test against 12 non-rare species showed 100% specificity with negative PCR results. Based on this, it can be interpreted that these findings indicate that this primer pair has great potential for efficient and accurate detection and conservation of rare plants.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=id&user=px8lr_UAAAAJ ID SINTA Dosen Pembimbing: Topik Hidayat: 256954 Hernawati: 6005188
    Uncontrolled Keywords: DNA Barkod, Identifikasi Spesies, In Silico, Penanda trnL-F, Tumbuhan Langka.
    Subjects: L Education > L Education (General)
    Q Science > Q Science (General)
    Q Science > QH Natural history
    Q Science > QH Natural history > QH301 Biology
    Q Science > QH Natural history > QH426 Genetics
    Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Biologi - S1 > Program Studi Biologi (non kependidikan)
    Depositing User: Santana Kocha
    Date Deposited: 20 Aug 2025 13:48
    Last Modified: 20 Aug 2025 13:48
    URI: http://repository.upi.edu/id/eprint/135321

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