ANGELINE, ANGELINE and Rozirwan, Rozirwan and Mustopa, Apon Zaenal (2024) DETEKSI DINI SPESIES NON-INDIGENOUS DENGAN METABARCODING DNA SEDIMEN DI PERAIRAN PULAU ENGGANO. Undergraduate thesis, Sriwijaya University.
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Abstract
Early detection of non-indigenous species or introduced species is one of the important efforts that need to be done as a mitigation against invasion disasters by invasive species. In the current digital era, the informatics technology revolution opens up opportunities for new methods in detecting organisms in an environment quickly and efficiently, namely DNA metabarcoding. The purpose of this study was to detect non-indigenous species found in Enggano Island Waters by sequence metabarcoding sediment DNA. The research was conducted at the National Research and Innovation Agency (BRIN) Laboratory, Cibinong, Bogor, West Java in September 2023 - April 2024. The research stages consisted of measuring environmental parameters, sediment sampling, DNA extraction, DNA quantitative and qualitative tests, COI gene validation with DNA amplification, electrophoresis, next generation sequencing, and data analysis. Data analysis consists of identification of non-indigenous species and phylogenetic analysis of neighbor joining methods. Based on the results obtained, two of the six sediment DNA samples met the optimal value of purity. Of the two samples representing each location, 26 species were found to be categorized as non-indigenous species. The dominating phylum in sample S2L (Pulau Dua) is the Bacillariophyta phylum (222 sequences) while S4L (Banjarsari Village) is the Gastrotricha phylum (431 sequences).
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | eDNA, Enggano Island, Metabarcoding, Non-Indigenous Species, Phylogenetic |
| Subjects: | Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science. |
| Divisions: | 08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1) |
| Depositing User: | Angeline Angeline |
| Date Deposited: | 19 Jul 2024 05:29 |
| Last Modified: | 19 Jul 2024 05:29 |
| URI: | http://repository.unsri.ac.id/id/eprint/152021 |
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