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Uncovering Molluscs Diversity in Mandalika Coastal Through eDNA Metabarcoding Candri, Dining Aidil; Mursal Ghazali; Tri Wahyu Setyaningrum; Mardiati, Aina Ul; Muhammad Syach Maulad Ichfa
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 3 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v17i3.73791

Abstract

Graphical Abstract   Highlight Research The environmental DNA (eDNA) method successfully identified four species of molluscs (Monetaria , M. annulus, M. obvelata, and Phyllaplysia sp.) and two family taxa (Strombidae and Cypraeidae) from the seagrass and coral reef ecosystems on the Mandalika coast. The species annulus, M. obvelata, and Phyllaplysia sp were detected in the coastal area of ​​Mandalika for the first time using the eDNA approach, although they had never been recorded observationally in this area before. The eDNA method is able to detect species that are difficult to observe directly, such as Phyllaplysia, which have never been reported in the coral reef ecosystem of Mandalika. This study emphasizes the urgency of sustainable coastal area management with an eDNA-based scientific approach to monitor diversity, detect rare species, and evaluate the impact of human activities on the ecosystem.     Abstract Molluscs are one of the main taxa in coastal ecosystems that play an important role in the food chain, bioindicators, and have high economic value. However, the limitations of conventional methods in detecting species that live hidden in complex ecosystems, such as seagrass and coral reefs, are a challenge in biodiversity monitoring. This study aimed to explore the diversity of mollusc species in the Mandalika coastal area using an eDNA metabarcoding approach. This study used the environmental DNA (eDNA) metabarcoding method to identify the diversity of molluscs in the coastal ecosystem of Mandalika, Central Lombok. The sites including Kuta Beach, Gerupuk Bay, and Aan Cape along the Mandalika coastal that contain both seagrass bed and coral reef ecosystems. Two samples were taken from each site in both the seagrass bed and coral reef ecosystems. Analysis of six water samples resulted in 99 ASVs and 116,611 final sequences, with 10 ASVs (50,960 sequences) identified as Mollusca taxa, all from the Gastropoda class. Four species were successfully identified, including Monetaria sp. M. obvelata, M. annulus and Phyllaplysia sp. that had not previously been reported through direct observation or conventional identification methods in Mandalika coastal area. Species diversity varied between locations and was influenced by environmental factors such as temperature, pH, salinity, phosphate, and anthropogenic pressure. These results show that eDNA metabarcoding is an effective tool in detecting mollusc species, even in hard-to-reach habitats, and support the urgency of scientific data-based mollusc conservation management.
Sebaran jenis Fitoplankton pada Ekosistem Mangrove, Lamun dan Terumbu Karang di Perairan Sekotong Barat, Lombok Barat Mardiati, Aina Ul; Candri, Dining Aidil; Astuti, Sri Puji; Ahyadi, Hilman; Sukiman
Jurnal Penelitian Pendidikan IPA Vol 11 No 1 (2025): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i1.8164

Abstract

The West Sekotong coastal area, which includes mangrove, seagrass, and coral reef ecosystems, is rich in marine biota, particularly phytoplankton communities. These ecosystems have been designated as conservation areas; however, increasing exploitation and disturbances in the region have impacted the presence and distribution of phytoplankton. This study aimed to assess the distribution, abundance, and species diversity of phytoplankton across these three ecosystems. Using purposive sampling, phytoplankton communities were identified microscopically, revealing a total of 742 phytoplankton cells, with 264 cells in the mangrove, 258 cells in seagrass, and 220 cells in the coral reef ecosystems. The class Bacillariophyceae dominated across all ecosystems. Specific species dominance varied, with Skeletonema costatum prevailing in mangroves, Nitzschia sigmoidhea in seagrass, and Coscinodiscus radiatus in coral reefs. The highest similarity index (35.89%) was observed between mangrove and seagrass ecosystems, while the lowest (30.87%) occurred between mangrove and coral reefs. The species richness index (R) was high in all ecosystems, ranging from 6.45 to 10.26, and dominance indices were low, indicating a balanced community structure. Environmental parameters measured across the ecosystems showed no significant differences and met the quality standards for marine biota as per KEPMENLH No 51 2004.