SOURCE IDENTIFICATION OF THREE MAJOR SPARIDAE FISHES BY USING BAYESIAN CLUSTERING METHOD FOR STOCK ENHANCEMENT IN TAIWAN

Sparidae fishes, including black seabream (Acanthopagrus schlegelii), yellow fin seabream (Acanthopagrus latus), and Silver seabream (Rhabdosargus sarba), are important species for the stock enhancement in Taiwan. To develop the genetic management strategy for the stock enhancement, 4 to 9 microsatellite markers were used to distinguish the fish from hatchery or wild groups. No or little genetic differences between the hatchery and wild samples were found, and no useful single microsatellite markers can use for source identification. Therefore, Bayesian clustering method based on the STRUCTURE software simulation analysis was further used in this study. Given the prior information and compared with that of the wild samples, the accuracy of the re-analysis of the three species of seabream was 98-100%. These results show that when the prior genetic information has been established, the source identification of these three Sparidae fishes for the stock enhancement is possible.