| Issue |
BIO Web Conf.
Volume 198, 2025
5th ASEAN Microbial Biotechnology Conference (AMBC 2025)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 11 | |
| Section | Bioinformatics and Computational Biology | |
| DOI | https://doi.org/10.1051/bioconf/202519803004 | |
| Published online | 03 December 2025 | |
Phylogenetic Analysis of Freshwater Fish (Cyprinidae And Danionidae) from Diatas and Dibawah Lakes using COI Gene
Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Andalas, 25163 Padang, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Genetic information in an ecosystem is crucial for determining effective population management, conservation, and breeding strategies for freshwater fish in various waters, including Diatas and Dibawah Lakes, West Sumatra. Phylogenetic analysis of freshwater fish in Diatas and Dibawah lakes is needed to provide genetic data and information. Molecular analysis of the 33 DNA sequences (COI gene) was carried out on the dominant fish groups (Cyprinidae and Danionidae) at several sites in Diatas and Dibawah Lake. Phylogenetic analysis revealed a monophyletic relationship between the Cyprinidae and Danionidae in Diatas and Dibawah lakes. The Cyprinidae group has a genetic distance of 20.2% to 21.3% with Danionidae. The genetic distance among members of Cyprinidae is 13.6% to 20.4%, and 10.3% among members of Danionidae. Neolissochilus sumatranus and Tor douronensis have the lowest genetic distance (1.0%), and Barbodes banksi and Rasbora lateristriata have the highest genetic distance (24.7%). The genetic distance between intra and inter-populations for each species is 0.0%, respectively. Members of each species are represented by a single haplotype, respectively. Genetic information indicates that all populations are derived from a single stock unit.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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