DNA barcoding reveals larval fish diversity and distribution along the Cibareno River (West Java, Indonesia)

Context There is a global problem with ongoing riverine infrastructure projects where, despite knowledge of potential environmental impacts, there is rapid development, often without appropriate environmental safeguards. This results in fragmentation of riverine fish communities, especially diadromous species. Understanding freshwater fish larval ecology is critical to provide insight into the likely impacts of these projects. Aims To assess fish larval biodiversity on the basis of DNA barcoding, abundance and its distribution pattern in the Cibareno River. Methods Fish larvae were collected at six locations in the Cibareno River. The larvae were identified by DNA barcoding. Key results A notable disparity was seen in the distribution of larval abundance in different locations. The non-native species, Poecilia reticulata, was the most abundant larval species, with an intraspecific diversity of 0.003 (99.7% similarity). The upstream area exhibited a lower level of larval species diversity than did the downstream area. Conclusions Genetic identification can reliably identify fish larvae and determine their spatial riverside distribution in the Cibareno River. The conservation of connectivity maintains fish community integrity and diversity between upstream and downstream locations in the weir building plan. Implications This discovery emphasises the relevance of larval identification in fish biodiversity assessment and sustainable fisheries resource monitoring.

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Publication Details

Journal
Marine and Freshwater Research
Published
2025-01-27
DOI
https://doi.org/10.1071/mf24236
Citations
1
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.81
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article

DNA barcoding reveals larval fish diversity and distribution along the Cibareno River (West Java, Indonesia)

Vitas Atmadi Prakoso, Deni Irawan, Fathur Rochman, Lee J. Baumgartner et al.
1 citations
Marine and Freshwater Research
Identification and Quantification in Food
0.81
article

DNA barcoding reveals larval fish diversity and distribution along the Cibareno River (West Java, Indonesia)

Vitas Atmadi Prakoso, Deni Irawan, Fathur Rochman, Lee J. Baumgartner, Imron Rosadi, Ivor Stuart, Dwi Atminarso, Septiana Sri Astuti, Andi Chadijah, Nicolas Hubert, Arif Wibowo, Yohanes Yudha P. Jaya, Indah Lestari Surbani, Tri Deniansen, Kurniawan Kurniawan, Sudarsono Sudarsono
article en
1 citations

Abstract

Context There is a global problem with ongoing riverine infrastructure projects where, despite knowledge of potential environmental impacts, there is rapid development, often without appropriate environmental safeguards. This results in fragmentation of riverine fish communities, especially diadromous species. Understanding freshwater fish larval ecology is critical to provide insight into the likely impacts of these projects. Aims To assess fish larval biodiversity on the basis of DNA barcoding, abundance and its distribution pattern in the Cibareno River. Methods Fish larvae were collected at six locations in the Cibareno River. The larvae were identified by DNA barcoding. Key results A notable disparity was seen in the distribution of larval abundance in different locations. The non-native species, Poecilia reticulata, was the most abundant larval species, with an intraspecific diversity of 0.003 (99.7% similarity). The upstream area exhibited a lower level of larval species diversity than did the downstream area. Conclusions Genetic identification can reliably identify fish larvae and determine their spatial riverside distribution in the Cibareno River. The conservation of connectivity maintains fish community integrity and diversity between upstream and downstream locations in the weir building plan. Implications This discovery emphasises the relevance of larval identification in fish biodiversity assessment and sustainable fisheries resource monitoring.

Marine and Freshwater ResearchVol. 76(2)
Charles Sturt University (AU), Binus University (ID), Indonesian Institute of Sciences (ID), Institut des Sciences de l'Evolution de Montpellier (FR), WWF-Indonesia (ID)
Openalex Percentile: Top 31%
Identification and Quantification in Food
0.81
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