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<p>The Mandalika Special Economic Zone (SEZ) is Indonesian government strategy aimed to accelerate development and economic growth in West Nusa Tenggara, Indonesia. This region features a relatively complete ecosystem with a diverse range of marine life. Development and operational activities while having a positive impact on the economy, can also have adverse effects on the environment, potentially influencing the ecosystem and marine organisms. Monitoring marine animal biodiversity using conventional observation methods, has limitations in identifying and sampling certain locations such as seagrass bed and coral reefs. To address these challenges, Environmental DNA (eDNA) metabarcoding based on Next Generation Sequencing (NGS) present a more effective alternative. Based on the research, a total of 1,030,389 final DNA sequences were obtained, which were categorized into 1,975 ASVs, 11 taxa of marine organisms were detected at the phylum level, including 6 animal phyla (Porifera, Nematoda, Echinodermata, Cnidaria, Chordata, and Arthropoda), and 5 other fungal and protist groups were generated from COI amplicons obtained from 6 water eDNA samples collected from 3 locations and 6 sites. The phyla Chordata and Cnidaria were detected in all samples including seagrass bed and coral reef ecosystem. The alpha biodiversity index calculation revealed that the seagrass ecosystem in Kuta Bay had the highest marine animal diversity. This result demonstrate that eDNA metabarcoding is a highly sensitive method for detecting changes in species composition across different ecosystems, this method proves to be valuable for large scale assessments of marine biodiversity.</p>

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eDNA Metabarcoding: A Novel Approach for Identifying Marine Animal Organism in Mandalika’s Coastal

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • Dining Aidil Candri,
  • Mursal Ghazali,
  • Hilman Ahyadi,
  • Aina Ul Mardiati,
  • Muhammad Syach Maulad Ichfa,
  • Muhammad Syach Nuzul Firdauzy

摘要

The Mandalika Special Economic Zone (SEZ) is Indonesian government strategy aimed to accelerate development and economic growth in West Nusa Tenggara, Indonesia. This region features a relatively complete ecosystem with a diverse range of marine life. Development and operational activities while having a positive impact on the economy, can also have adverse effects on the environment, potentially influencing the ecosystem and marine organisms. Monitoring marine animal biodiversity using conventional observation methods, has limitations in identifying and sampling certain locations such as seagrass bed and coral reefs. To address these challenges, Environmental DNA (eDNA) metabarcoding based on Next Generation Sequencing (NGS) present a more effective alternative. Based on the research, a total of 1,030,389 final DNA sequences were obtained, which were categorized into 1,975 ASVs, 11 taxa of marine organisms were detected at the phylum level, including 6 animal phyla (Porifera, Nematoda, Echinodermata, Cnidaria, Chordata, and Arthropoda), and 5 other fungal and protist groups were generated from COI amplicons obtained from 6 water eDNA samples collected from 3 locations and 6 sites. The phyla Chordata and Cnidaria were detected in all samples including seagrass bed and coral reef ecosystem. The alpha biodiversity index calculation revealed that the seagrass ecosystem in Kuta Bay had the highest marine animal diversity. This result demonstrate that eDNA metabarcoding is a highly sensitive method for detecting changes in species composition across different ecosystems, this method proves to be valuable for large scale assessments of marine biodiversity.