Abstract

Context. The ability to accurately assess biodiversity is a critical first step towards effective conservation and management. However, assessment of biodiversity using conventional monitoring programs is often constrained by high cost and a lack of taxonomic expertise. Environmental DNA (eDNA) metabarcoding may be a useful tool to efficiently catalogue biodiversity in areas that cannot be easily assessed using other methods. Aims. Here, we evaluated the potential of eDNA metabarcoding for assessing fish biodiversity and distribution in the Kumbe River, Papua Province, Indonesia. Methods. We selected four sampling locations and collected seven eDNA samples from each location. We used eDNA metabarcoding of the Cytochrome-b gene to characterise the fish community. Key results. A total of 23 species were detected, three of which comprised 92% of sequence reads detected: Melanotaenia goldiei (32%), Craterocephalus randi (31%), and the invasive tilapia Oreochromis niloticus (29%). Only five species that were previously detected using conventional methods were detected by metabarcoding: M. goldiei, Craterocephalus stercusmuscarum, O. niloticus, Neoarius graeffei, and Arius arius. We detected 18 species (70% native) that have never been recorded from the Kumbe River. Conclusions. This work has demonstrated that fish biodiversity is substantially underestimated in the Kumbe River. Environmental DNA metabarcoding is a promising rapid, non-invasive and cost-effective method for assessing fish biodiversity in Papua. Implications. The findings support future investment in eDNA metabarcoding to characterise the fish biodiversity in Papua. This will assist in allocating the limited resources for conservation and management to areas most at risk from anthropogenic impacts.

Keywords

biodiversity; eDNA; freshwater fish; Indonesia; metabarcoding; Papua; river; tropical

Published in

Pacific Conservation Biology
2023, Volume: 29, number: 4, pages: 340-350
Publisher: CSIRO

SLU Authors

• Vasemägi, Anti

  • Department of Aquatic Resources (SLU Aqua), Swedish University of Agricultural Sciences
    
  • Estonian University of Life Sciences

UKÄ Subject classification

Fish and Aquacultural Science
Ecology


Publication identifier

DOI: https://doi.org/10.1071/PC21078

Permanent link to this page (URI)

https://res.slu.se/id/publ/129685