Nurfitriani, Anisa (2024) Deteksi Spesies Fitoplankton Berpotensi HAB Pada Tambak Udang Vaname Semi-Intensif Dengan Metode eDNA Metabarcoding. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Harmful Algae Bloom (HAB) merupakan ledakan populasi “blooming” fitoplankton dimana didominasi oleh spesies beracun dan berbahaya, sehingga menimbulkan kerugian terhadap biota akuatik yang hidup didalamnya, ekosistem di sekitarnya dan kesehatan manusia. Udang merupakan produk akuakultur andalan komoditas peningkatan perekonomian petani tambak di Indonesia. Budidaya udang dengan sistem semi-intensif dapat menyebabkan kenaikan materi organik berupa nitrogen dan fosfor yang dapat mengakibatkan eutrofikasi, sehingga memicu terjadinya ledakan populasi fitoplankton. Salah satu metode alternatif deteksi molekuler spesies berpotensi HAB yaitu eDNA metabarcoding. Metode ini menilai keanekaragaman hayati di mana sampel diambil dari lingkungan melalui air, sedimen, atau udara tempat DNA diekstraksi. Selanjutnya diamplifikasi menggunakan primer universal dalam reaksi PCR dan diurutkan menggunakan Next Generation Sequencing (NGS). Dalam penelitian ini DNA marker yang digunakan yaitu gen SSU/ 18S rRNA wilayah target V3-V4 anotasi taksonomi menggunakan database SILVA 138 dan PR2. Metode ini dinilai memberikan resolusi taksonomi lebih tinggi terutama untuk spesies yang sulit dibedakan karakteristik morfologinya. 5 sampel mewakili kolam inlet, kolam pemeliharaan ,dan kolam outlet tambak udang vaname semi-intensif , Desa Lombang, Madura, Jawa Timur. Diperoleh hasil data NGS sebanyak 174.778 seqs DNA yang termasuk kedalam 607 OTUs. eDNA metabarcoding anotasi taksonomi SILVA 138 mendeteksi 12 genera fitoplankton berpotensi berbahaya, sementara untuk anotasi taksnomi PR2 mendeteksi 8 genera fitoplankton berpotensi berbahaya. Dari 8 genera tersebut 6 spesies diantaranya berpotensi HAB (Alexandrium minutum, Cylindrotheca Closterium, Pfiesteria sp., Pfiesteria piscicida, Chaetoceros sp., Prymnesium sp., Luciella sp. dan Nitzschia sp.).
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Harmful Algal Bloom (HAB) is a population explosion of toxic and harmful phytoplankton species, which causes harm to the aquatic biota, the surrounding ecosystem, and human health. Shrimp is a flagship species aquaculture product for increasing the economic prosperity of shrimp farmers in Indonesia. Shrimp farming with semi-intensive system can result an increase of organic material such as nitrogen and phosphorus, leading to eutrophication and subsequently triggering phytoplankton blooms. An alternative method for detecting potential HAB species is eDNA metabarcoding. This method is a new method for assessing biodiversity, where samples are taken from the environment through water, sediment, air, and others where DNA is extracted. The samples are then amplified using universal primers in a PCR reaction and sequenced using Next Generation Sequencing (NGS). In this study, the DNA marker used is the SSU/18S rRNA gene in V3-V4 target region. This method is believed to provide higher taxonomic resolution, especially for species that are difficult to distinguish based on morphological characteristics. 5 samples representing the inlet pond, rearing pond and outlet pond of the semi-intensive vaname shrimp pond, Lombang Village, Madura, East Java. The NGS data results obtained 174,778 DNA seqs which included 607 OTUs. eDNA metabarcoding SILVA 138 taxonomic annotation detected 12 potentially harmful phytoplankton genera, while the PR2 taxonomic annotation detected 8 potentially harmful phytoplankton genera. Of these 8 genera, 6 species have potential HAB (Alexandrium minutum, Cylindrotheca Closterium, Pfiesteria sp., Pfiesteria piscicida, Chaetoceros sp., Prymnesium sp., Luciella sp. and Nitzschia sp.).
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | HAB, fitoplankton, akuakultur, udang, eDNA metabarcoding, HAB, phytoplankton, aquaculture, shrimp, eDNA metabarcoding |
| Subjects: | Q Science > QH Biology > QH541 Ecology Q Science > QH Biology > QH75 Nature conservation. Landscape protection. Biodiversity conservation. Endangered species and ecosystems (General). Habitat conservation. Ecosystem management. Conservation biology |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Biology > 46101-(S2) Master Thesis |
| Depositing User: | Anisa Nurfitriani |
| Date Deposited: | 12 Aug 2024 08:51 |
| Last Modified: | 12 Aug 2024 08:51 |
| URI: | http://repository.its.ac.id/id/eprint/113983 |
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