Pendekatan Metabarcoding eDNA untuk Mendeteksi Keanekaragaman Spons Laut: Sistematik Literatur Review dan Bibliometrik Analisis

Anggi Mayulina Daulay, Beginer Subhan, Andhika Prima Prasetyo, Dietriech Geoffrey Bengen

Abstract


ABSTRAK

Penelitian ini bertujuan menganalisis perkembangan, fokus tematik, dan arah riset terkait penggunaan environmental DNA (eDNA) metabarcoding untuk mendeteksi dan mengidentifikasi spons laut (Porifera). Pendekatan yang digunakan adalah systematic literature review (SLR) berbasis PRISMA dan analisis bibliometrik terhadap artikel terindeks Scopus tahun 2009–2025. Dari 116 publikasi awal, 42 artikel memenuhi kriteria inklusi dan dianalisis lebih lanjut menggunakan VOSviewer untuk mengidentifikasi tren publikasi, pola kolaborasi penulis-negara, serta struktur klaster kata kunci. Hasil menunjukkan peningkatan signifikan publikasi sejak 2017, dengan kontribusi terbesar berasal dari Britania Raya, Spanyol, dan Amerika Serikat. Analisis kata kunci menghasilkan lima klaster utama yang mencerminkan arah riset global, yaitu (1) genetika dan biodiversitas, (2) mikrobioma dan metagenomik, (3) ekologi terumbu karang, (4) invertebrata laut, serta (5) lingkungan ekstrem. Meskipun eDNA metabarcoding terbukti sensitif untuk mendeteksi komunitas spons, tantangan utama yang ditemukan mencakup keterbatasan marker gen yang belum universal serta kelengkapan basis data taksonomi yang masih rendah. Novelty penelitian ini terletak pada penggabungan SLR dan bibliometrik secara khusus pada spons laut, sehingga mampu mengungkap kesenjangan geografis, keterbatasan metodologis, serta menawarkan rekomendasi strategis berupa standardisasi protokol, penguatan basis data referensi lokal, dan perluasan kolaborasi internasional, terutama di wilayah megabiodiversitas seperti Indonesia.

Kata Kunci: eDNA, metabarcoding, Porifera, bibliometric, keanekaragaman hayati.

ABSTRACT

This study analyzes the development, thematic focus, and research direction of environmental DNA (eDNA) metabarcoding applied to the detection and identification of marine sponges (Porifera). A systematic literature review (SLR) following PRISMA and a bibliometric analysis of Scopus-indexed publications from 2009–2025 were conducted. From an initial 116 records, 42 articles met the inclusion criteria and were analyzed using VOSviewer to identify publication trends, author–country collaborations, and keyword cluster structures. Results show a substantial increase in publications since 2017, with major contributions from the United Kingdom, Spain, and the United States. Keyword analysis revealed five major thematic clusters: (1) genetics and biodiversity, (2) microbiome and metagenomics, (3) coral reef ecology, (4) marine invertebrates, and (5) extreme environments. Although eDNA metabarcoding demonstrates high sensitivity for sponge detection, key challenges include non-universal genetic markers and incomplete taxonomic reference databases. The novelty of this study lies in integrating SLR and bibliometric approaches specifically for marine sponges, allowing the identification of geographic gaps, methodological limitations, and providing strategic recommendations for protocol standardization, the development of local reference databases, and enhanced international collaboration, particularly in megabiodiverse regions such as Indonesia.

Keywords: eDNA, metabarcoding, Porifera, bibliometric analysis, biodiversity.



References


Cai, W., Harper, L. R., Neave, E. F., Shum, P., Craggs, J., Arias, M. B., Riesgo, A., & Mariani, S. (2022). Environmental DNA persistence and fish detection in captive sponges. Molecular Ecology Resources, 22(8), 2956–2966. https://doi.org/10.1111/1755-0998.13677

Capurso G, Carroll B, Stewart KA. 2023. Transforming marine monitoring: using eDNA metabarcoding to improve the monitoring of the Mediterranean Marine Protected Areas network. Marine Policy, 156, 105807. DOI 10.1016/j.marpol.2023.105807.

Clarke, L. J., Beard, J. M., Swadling, K. M., & Deagle, B. E. (2021). eDNA metabarcoding for ecological community assessment: Comparison of water and sediment sampling in Antarctic environments. PeerJ, 9, e12458. https://doi.org/10.7717/peerj.12458

Colman, A.S. (2015). Spons symbionts and the marine P cycle. PNAS, 112 (14) 4191-4192. https://doi.org/10.1073/pnas.1502763112

Deiner, K., Bik, H. M., Mächler, E., Seymour, M., Lacoursière-Roussel, A., Altermatt, F., … Bernatchez, L. (2017). Environmental DNA metabarcoding: Transforming how we survey animal and plant communities. Molecular Ecology, 26(21), 5872–5895. https://doi.org/10.1111/mec.14350

Diana, A., Matechou, E., Griffin, J., Yu, D., Luo, M., Tosa, M., … Griffiths, R. (2022). eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring. bioRxiv. https://doi.org/10.1101/2022.11.22.517562

Djurhuus, A., Pitz, K., Sawaya, N.A., Marquez, R.J., Michaud, B., Montes, E., Karger, F.M., & Breitbart, M. (2018). Evaluation of marine zooplankton community structure through environmental DNA metabarcoding. Limnology and Oceanography: Methods. https://doi.org/10.1002/lom3.10237

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.

Fan, L., McElroy, K., Thomas, T. (2012). Reconstruction of Ribosomal RNA Genes from Metagenomic Data. Plos ONE, Volume 7, Issue 6, e39948.

Fediajevaite J., Priestley V., Arnold R., Savolainen V. (2021). Meta-analysis shows that environmental DNA outper-

forms traditional surveys, but warrants better reporting standards. Ecol Evol, 11(9), 4803–4815. https:// doi. org/ 10.1002/ ece3. 7382

Gallego, R., Arias, M.B., Lou, A.C., Vives, C.D., N, E.F., Wang, C., Cardenas, P., Steffen, K., Taboada, S., Villamor, A., Kenchington, E., Mariani, S., Riesgo, A. (2024). North Atlantic deep-sea benthic biodiversity unveiled through sponge natural sampler DNA. Communications Biology, 7, 1015.

Harper, L. R., Neave, E. F., & Mariani, S. (2025). DNA State Influences the Uptake and Persistence of Environmental DNA by Marine Sponge Natural Samplers. Ecology and Evolution (in press). https://doi.org/10.1002/ece3.XXXX

Harper, L. R., Neave, E. F., Sellers, G. S., Cunnington, A. V., Arias, M. B., Craggs, J., … Mariani, S. (2023). Optimized DNA isolation from marine sponges for natural sampler DNA metabarcoding. Environmental DNA, 5(3), 438–461. https://doi.org/10.1002/edn3.392

Jannel, L.-A., Guilhaumon, F., Valade, P., Chabanet, P., Borie, G., Grondin, H., & Jourand, P. (2024). eDNA metabarcoding, a promising tool for monitoring aquatic biodiversity in the estuaries of Réunion Island (South-West Indian Ocean). Environmental DNA. https://doi.org/10.1002/edn3.XXX

Jeunen, G.-J., Cane, J., Ferreira, S., Strano, F., von Ammon, U., Cross, H., … Gemmell, N. J. (2023). Assessing the utility of marine filter feeders for environmental DNA (eDNA) biodiversity monitoring. Molecular Ecology Resources, 23(4), 771–786. https://doi.org/10.1111/1755-0998.13754

Leray, M., Knowlton, N. (2017). Random sampling causes the low reproducibility of rare eukaryotic OTUs in Illumina COI metabarcoding. Peer J, DOI 10.7717/peerj.3006.

Mariani, S., Baillie, C., Colosimo, G., & Riesgo, A. (2019). Sponges as natural environmental DNA samplers. Current Biology, 29(11), R401–R402. https://doi.org/10.1016/j.cub.2019.04.031

Neave, E. F., Cai, W., Arias, M. B., Harper, L. R., Riesgo, A., & Mariani, S. (2023). Trapped DNA fragments in marine sponge specimens unveil North Atlantic deep-sea fish diversity. Proceedings of the Royal Society B, 290(2005), 20230771. https://doi.org/10.1098/rspb.2023.0771

Neave, E.F., Cai, W., Arias, M.B., Harper, L.R., Riesgo, A., Mariani, S. (2023). Trapped DNA fragments in marine spongen specimens unveil North Atlantic deep-sea fish diversity. Proc. R. Soc, B 290, 20230771. https://doi.org/10.1098/rspb.2023.0771

Seongjun, B. (2025). Validation of improved cytochrome c oxidase I (COI) primers for comprehensive biodiversity assessment of ascidians. PeerJ, DOI 10.7717/peerj.19671

Shea, M. M., Kuppermann, J., Rogers, M. P., & others. (2023). Systematic review of marine environmental DNA metabarcoding studies: Toward best practices for data usability and accessibility. PeerJ, 11, e14993. https://doi.org/10.7717/peerj.14993

subterranean assemblages using eDNA metabarcoding in the caves of Christmas Island, Australia. Scientific Reports, 10, 21479.

Taberlet P., Bonin A., Zinger L., Coissac E. (2018). Environmental DNA: For biodiversity research and monitoring. Oxford: Oxford University Press.

Taylor, M. W., Radax, R., Steger, D., & Wagner, M. (2007). Sponge-associated microorganisms: evolution, ecology, and biotechnological potential. Microbiology and Molecular Biology Reviews,1(2):295-347. doi: 10.1128/MMBR.00040-06.

Thomsen PF, Willerslev E. 2015. Environmental DNA an emerging tool in conserva-tion for monitoring past and present biodiversity. Biological Conservation, 183, 4–18. DOI 10.1016/j.biocon.2014.11.019.

Wesselmann, M., Geraldi, N.R., Marba, N., Hendriks, I.E., Rua, R.D., Duarte, C.M. (2022). eDNA Reveals the Associated Metazoan Diversity of Mediterranean Seagrass Sediments. Diversity, 14, 549. https://doi.org/10.3390/d14070549.

West, K., Travers, M.J., S, M., Harvey, E.S., Richards, Z.T., DiBattista, J.D., Newman, S.J., Harry, A., Skepper, C.L., Heydenrych, M., & Bunce, M. (2021). Large‐scale eDNA metabarcoding survey reveals marine biogeographic break and transitions over tropical north‐western Australia. Diversity & Distributions. https://doi.org/10.1111/ddi.13228

West, K.M., Richards, Z.T., Harvey, E.S., Susac, R., Grealy, A & Bunce, M. (2020). Under the karst: detecting hidden




DOI: https://doi.org/10.21107/jk.v18i3.32404

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.




INDEXED BY: