Evidence map›Paper›PMID 41629510›Full record

ArticleScientific reports2026

Haplotype-level analysis of environmental DNA metabarcoding revealed the biogeography and phylogeography of freshwater fishes in Korean Peninsula.

Muhammad Hilman Fu'adil Amin, Ah Ran Kim, Ji Eun Jang, Hye-Woo Byun, Hyuk Je Lee, Hyun-Woo Kim

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Muhammad Hilman Fu'adil AminIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
Ah Ran KimMarine Integrated Biomedical Technology Center, The National Key Research Institutes in Universities, Pukyong National University, Busan, 48513, Republic of Korea.
Ji Eun JangDepartment of Biological Science, Sangji University, Wonju, 26339, Republic of Korea.
Hye-Woo ByunBiodiversity Research Department, National Institute of Biological Resources, Incheon, 22689, Republic of Korea.
Hyuk Je LeeDepartment of Biological Science, Sangji University, Wonju, 26339, Republic of Korea.
Hyun-Woo KimIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, 48513, Republic of Korea. kimhw@pknu.ac.kr.

Funding

National Institute of Biological Resources NIBR201933203National Research Foundation of Korea RS-2021-NR060118
6 · The paper itself

Abstract

Environmental DNA (eDNA) metabarcoding is a cost-effective, sensitive, and minimally invasive tool for monitoring fish diversity in freshwater ecosystems. To evaluate its suitability for assessing fish biogeography and phylogeography in Korean streams, we analyzed fish assemblages in three streams—Gilan, Seom, and Oshipcheon—located in different Korean biogeographical subdistricts. Over two sampling campaigns at nine sites, a total of 107 amplicon sequence variants (ASVs) were identified, representing 20 families, 46 genera, and 76 species. Among the 76 detected species, 29 were endemic to freshwater habitats in South Korea and played a significant role in shaping fish communities across the surveyed streams. We identified potential sources of six translocated species to the eastern region by examining their ASVs. After excluding these potential translocations, no endemic fish species were simultaneously detected in all three streams, and the phylogeography of endemic fish species Odontobutis platycephala, Coreoperca herzi, Microphysogobio yaluensis, Coreoleuciscus splendidus, Nipponocypris koreanus, and Koreocobitis rotundicaudata was clearly observed across the three biogeographical regions. Additionally, analysis of relative abundance and presence-absence data of fish communities yielded comparable β-diversity metrics reflecting spatiotemporal variation. The fish communities in the streams exhibited distinct groups, with Gilan showing a closer relationship to Seom than to Oshipcheon, consistent with well-known allopatric studies of freshwater fishes in the Korean Peninsula. Interestingly, we did not find any differences in fish assemblages among the three mesohabitat types (riffle, run, and pool), regardless of the sampling site. Our results highlight the potential of water-derived eDNA metabarcoding for detecting endemic fish, unraveling the biogeography and phylogeography of allopatric populations of freshwater fishes, and providing genetic forensic tools to estimate the original sources of translocated species.

Indexed as

DNA Barcoding, TaxonomicDNA, EnvironmentalFishesHaplotypesAnimalsBiodiversityEcosystemFresh WaterPhylogeographyRepublic of KoreaDNA, EnvironmentalBiogeographyEnvironmental DNAFreshwater ecosystemMetabarcodingMetaphylogeographyNative fishes

Identifiers

PMID41629510
PMCPMC12916845

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.