E3S Web Conf.
Volume 322, 2021International Seminar on Fish and Fisheries Sciences (ISFFS 2021)
|Number of page(s)||12|
|Section||Biodiversity, Fisheries Biology and Conservation|
|Published online||11 November 2021|
Molecular barcoding of marine ornamental fish from the southern coast of West Java validates conventional identification
Biology Faculty, Jenderal Soedirman University, Purwokerto 53122, Central Java, Indonesia
* Corresponding author: firstname.lastname@example.org
Conventional identification of marine ornamental fish has faced difficulties due to similar color patterns of closed related species, or juvenile individuals have different color patterns from adult individuals. Molecular barcoding using the cytochrome c oxidase I (COI) gene provides a reliable tool for unmasking such difficulties. This study aimed to barcode marine ornamental fish from the southern coast of West Java. Fragment of the COI gene was sequenced from 54 morphotypes. In this study, we determined the taxonomic status of the samples based on a 5% genetic divergence, with the parameter including sequence percent identity, genetic distance, and length of monophyletic branch in a phylogenetic tree. The result showed that most samples had a high percentage of sequence identities, low genetic distances, and short chapters in monophyletic clades, but the remaining were not. Those data indicated that most samples could be identified at species-level without doubt and support conventional identification. Barcoding success is also depending on the availability of conspecific sequences in the databases. This study concluded that molecular barcoding could strengthen and validate traditional identification.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.