Analysis of Microsatellite Markers and Growth Performance in Artificial Triploid of Blunt Snout Bream Megalobrama amblycephala
LI Baoyu, ZHENG Guodong, CUI Wentao, CHEN Jie, ZOU Shuming
Genetics and Breeding Center for Blunt Snout Bream, Ministry of Agriculture and Rural Affairs, Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai 201306, China
Abstract：In order to guide the breeding of the artifical triploid of blunt snout bream Megalobrama amblycephala, the extent of genetic diversity of the triploid was compared with diploid breams by using the microsatellite. The growth performance were also analysed and the genetic variations were assessed in the triploid and diploid stocks based on the selected 20 microsatellite loci. The PCR products were isolated by polyacrylamide gel, and the microsatellite alleles were artificially identified and analyzed. The mean number of alleles for triploid and diploid breams were 2.75 and 3.05, the mean values of expected heterozygosity were 0.5061 and 0.5412, and the average of polymorphic information content were 0.4249 and 0.4378, respectively. Most of the loci of the two ploidy populations of blunt snout bream deviated from Hardy-Weinberg equilibrium, and the genetic deviation index of most loci showed excessive heterozygosity. By randomly selecting individuals in the two populations, primers TTF1 and Mam_EST110 were identitied in the two populations. The growth performance of the triploid and diploid stocks showed that triploid breams had allelic deletion and decreased heterozygosity. The average weight and absolute weight gain rate were significantly higher in triploid at 18 months than that in diploid (P<0.05), showing obvious growth performance. The findings have reference significance for the study of the genetic structure of triploids, the identification of ploidy and the further development of the breeding of triploid fish.
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2022, Vol. 41 
