CROSATELLITE GENETIC VARIATION IN CULTURED POPULATMICROSATELLITE GENETIC VARIATION IN CULTURED POPULATIONS OF AFRICAN CATFISH (Clarias gariepinus) IN INDONESIA
ABSTRACT: African catfish,
Clarias gariepinus, is one of economically important farmed speciesin
Indonesia. To support the development of aquaculture industry, high geneticquality
of both broodstock and seeds is required and breeding program is consideredas
viable option. Information on genetic variation of the populations being
consideredto form a base population may give insight toward the appropriate
strategy to beimplemented in breeding program. This study was aimed to assess
genetic variation in farmed populations of catfish in Indonesia using
microsatellite markers with special emphasis on their use to develop breeding
program. Three populations of farmed catfish, namely Dumbo, Paiton, and
Sangkuriang were collected. Fifteen individualsrepresenting each population
were screened for microsatellite variability using seven primer sets (cga01,
cga02, cga03, cga05, cga06, cga09, cga10). Results found thatwith exception of
two loci (cga01 and cg02) which had a slight increase, the other fourloci
showed reduction in the number of alleles ranging from 35% to 80% depending onloci.
Farmed populations also showed heterozygote deficient and inbreeding level,being
the highest was found in Sangkuriang and the least was observed in Dumbo population.
Individuals within populations contributed most (95%) while interpopulation variation
accounted for only 5% of the total genetic variation. Populations of Dumboand Sangkuriang
were genetically similar while populations of Paiton were genetically different
from both Dumbo and Sangkuriang. Viewed from genetic perspective, by combining
all information emerging from this study, the best possible strategy to establish
a base population with broad genetic base and less inbreeding would be to combine
all the populations into a synthetic base population.
KEYWORDS: microsatellite
variability, farmed population, Clarias gariepinus
Author: Imron, Dadan Sunandar,
and Evi Tahapari
Journal Code: jpperikanangg110005
