团头鲂三倍体的微卫星遗传特征及生长性能分析

doi:10.16378/j.cnki.1003-1111.20250

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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.

Key words： Megalobrama amblycephala triploid microsatellite genetic structure growth performance

Received: 17 November 2020

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	Articles by authors
	LI Baoyu
	ZHENG Guodong
	CUI Wentao
	CHEN Jie
	ZOU Shuming

Cite this article:

LI Baoyu,ZHENG Guodong,CUI Wentao, et al. Analysis of Microsatellite Markers and Growth Performance in Artificial Triploid of Blunt Snout Bream Megalobrama amblycephala[J]. Fisheries Science, 2022, 41(2): 173-182.

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https://www.shchkx.com/EN/10.16378/j.cnki.1003-1111.20250 OR https://www.shchkx.com/EN/Y2022/V41/I2/173

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