Determination of species boundaries of Selais fish from Arut River, Central Kalimantan based on 16S mitochondrial gene using Bayesian approach

Abstract

Selais fish is difficult to discriminate with other Silurid fish species based on morphological characters. As a result, the valid species of selais fish is uncertain. Therefore, a molecular phylogenetic study was needed to clarify species boundaries and to addresses genetic relationships of the selais fish. In this study, 16S mitochondrial gene of ten selais samples collected from Arut River (Central Kalimantan) were sequenced, from which a Bayesian trees was generated. Result revealed monophyletic of selais fish which is revealed as a single species. The Bayesian inference showed that the selais fish clade is distinguished with two other genus, Kryptopterus and Ompok, by its sequence differences. This finding can address species boundaries of selais fish using Bayesian approach, but the name of the selais species has not been clarified.

Coi-Based Dna Barcoding of Selais Fish From Arut River, Central Kalimantan, Indonesia

“…This was confirmed by quite a significant bootstrap value (100/98) and posterior probability (1) and the mean of genetic distance between clade A dan clade B was 3.6%. A previous study by Arisuryanti et al (2020a) described that selais fish based on the 16S mitochondrial gene were closer to genus Kryptopterus than genus Ompok with significant differences in genetic distance of 44.1% and 65.8%, respectively. This discovery has confirmed that the ambiguous name and dispels doubts of selais fish previously were still unclassified accurately.…”

“…For conservation management efforts of Selais fish, especially in the Arut River, it is necessary to carry out initial data collection such as molecular identification of species names. Arisuryanti et al (2020a) reported that the boundaries status and classification by identifying the selais fish using the 16S mitochondrial gene were still undetermined due to low similarity and genetic distance values compared to the GenBank database. Although the COI mitochondrial gene is a high conserve region and highly acceptable for identification of almost all animals (Mitani et al 2009), limited data in the GenBank database (unregistered) causes a low percentage of similarity and query cover for comparison, and this is a constraint in species determination.…”