Species identification and molecular analysis of terubuk fish from Bengkalis strait (Riau, Indonesia) using COI mitochondrial gene as a barcoding marker
Author:
Arisuryanti Tuty1, Ulum Syafrizal1, Hakim Lukman1
Affiliation:
1. Laboratory of Genetics and Breeding, Faculty of Biology, Universitas Gadjah Mada, Jl. Tehnika Selatan, Sekip Utara, Yogyakarta, Indonesia
Abstract
Terubuk fish (Tenualosa spp.) commonly found in Bengkalis Strait is an
important fishery commodity with a high economic value. However, the
exploitation of the fish especially during spawning and hatching time due to
the demand of the fish for consumption affects the decrease in numbers of
the fish in Bengkalis Strait every year. Therefore, research on species
identification and molecular analysis of the terubuk fish have to be
investigated due to no genetic information can be used to make regulations
and policies related to fish conservation. This research aimed to identify
and examine the genetic polymorphism of terubuk fish in Bengkalis Strait
using the partial COI mitochondrial gene. The method applied in this
research was a PCR with primer FishF2 and FishR2. Genetic identification of
the terubuk fish was analysed using nucleotide BLAST and Identification
Engine through BOLD and genetic variation was evaluated using the DnaSP
program. Genetic distance was examined using Kimura 2 parameter (K2P) model.
The phylogenetic tree was constructed using Bayesian Inference through the
BEAST program. The result revealed that all samples of terubuk fish were
identified as Tenualosa macrura. The terubuk samples investigated in this
study have 4 haplotypes with 6 variable sites dan 1 parsimony site. The
haplotype diversity and nucleotide diversity were 0.714 and 0.00353
respectively with a genetic distance of 0-0.9% (mean= 0.4%). This finding is
first reported and the genetic information gained in this study is expected
to be implemented for terubuk fish conservation, especially in Bengkalis
Strait.
Publisher
National Library of Serbia
Subject
Plant Science,Genetics
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