SIMNASKP 2023
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

Genetic variability of mud crab Scylla tranquebarica from Malili, South Sulawesi based on mitochondrial 16S rRNA sequence: a preliminary assessment
A Parenrengi*, G Gunarto, A Tenriulo, S Sulaeman, H Herlinah, E Suryati, R Rosmiati, and S Lante

Research Center for Fishery, National Research and Innovation Agency, Indonesia


Abstract

Analysis of genetic variability is a very important aspect of providing the genetic database for the domestication purposes of mud crab Scylla tranquebarica. Genetic characterization is needed to be assessed to support the mud crab breeding program. The study was conducted to analyze the genetic variation of the mud crab S. tranquebarica broodstock collected from Malili, East Luwu, South Sulawesi, based on the mitochondrial 16S rRNA sequence. The mud crab samples (n=10) were collected from fishermen. The genomic DNA and mtDNA 16S rRNA were isolated by the commercial kits, and the nucleotide sequence was done in the First Base. The mtDNA sequences were analyzed using Mega-X, BLAST-N, and DnaSP to get a consensus sequence, haplotype diversity, nucleotide diversity, haplotype number, and similarity index. The results of the study revealed the genetic variability of mud crabs from Malili in terms of relatively high haplotype diversity of 0.533, low nucleotide diversity of 0.00096, and two haplotypes. Genetic distance among individuals for intra-population was 0.0010 0.0009. The two haplotypes were highly correlated with the number of clusters observed. Two clusters were detected in which the 1st cluster consisted of six individuals, and the 2nd cluster consisted of four individuals.

Keywords: genetic variability- Malili- mitochondrial DNA- mud crab- Scylla tranquebarica

Topic: Sustainable Aquaculture and Fisheries

Plain Format | Corresponding Author (Andi Parenrengi)

Share Link

Share your abstract link to your social media or profile page

SIMNASKP 2023 - Conference Management System

Powered By Konfrenzi Premium 1.832M-Build6 © 2007-2024 All Rights Reserved