首页|大口黑鲈EST-SNP标记开发及其与生长性状的相关性分析

大口黑鲈EST-SNP标记开发及其与生长性状的相关性分析

Development of EST-SNPs in largemouth bass (Micropterus salmoides) and analysis of their correlation with growth traits

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为探讨EST-SNP标记的有效性及其与大口黑鲈(Micropterus salmoides)生长性状间的相关性,本研究采用RNA-seq技术进行大口黑鲈生长快个体和生长慢个体肌肉组织的转录组分析,分别检测到15 273和17 376个EST-SNP标记.采用SnaPshot技术对其中75个EST-SNP标记在大口黑鲈生长性状极端群体中的EST-SNP进行多态性检测,结果显示有37个EST-SNP标记具有多态性,准确性为49.3%.进一步采用一般线性模型分析37个EST-SNP标记与大口黑鲈生长性状的相关性,结果表明:CL1452.Contig9_All-847位点的CC基因型在体质量、全长和尾柄长3个性状的均值都显著高于TT基因型(P<0.05),CC型在体高、头长中的均值都比CT和TT型的均值高,但差异未达到显著水平(P>0.05),其它位点不同基因型个体间的生长性状均不存在显著差异(P>0.05).其中10个EST-SNP标记在大口黑鲈“优鲈1号”群体中的平均观测杂合度(Ho)和平均多态(PIC)信息含量分别为0.459和0.356,表明大口黑鲈“优鲈1号”群体具有较丰富的遗传多样性.CL1452.Contig9_ All-847位点与生长性状显著相关(P<0.05),可用于大口黑鲈分子标记辅助育种.
Largemouth bass(Micropteruss almoides) is a primary cultured fish species in China,with annual production of 3.4 × 105 tons.Growth is one of the most crucial economic traits of all aquaculture species,but the molecular mechanisms involved in the growth of largemouth bass are poorly understood.Investigating the correlations between single nucleotide polymorphism (SNP) and growth traits can provide candidate markers for molecular marker-assisted selection.The objective of this study was to develop EST-SNPs from the transcriptome database and analyze their correlation with growth traits in largemouth bass.The transcriptome of muscle tissue from the fast-growing and slow-growing groups were sequenced using RNA-seq technology.A total of 54.06 million and 54.74 million qualified Illumina read pairs were gained for the fast-growing and slow-growing groups,respectively,giving rise to 84 602 and 88 329 contigs,respectively.17 376 and 15 273 potential SNPs were detected in the slow-growing and fast-growing groups,respectively.The mutation types of A,C,G,T base ranged from 1 057 to 5 573,and C/T and A/G type accounted for the largest ratio (more than 30%).The fish from Youlu No.1 largemouth bass population were used for marker-trait correlation analysis,which were hatched at the same time and cultured under the same rearing and management conditions at the Xinxu Fish Farm.At 11 months,430 individuals of Youlu No.1 largemouth bass were randomly selected and sampled for marker-trait correlation analysis.75 putative SNPs were selected to validate in 60 fish selected from both ends of the weight gain distribution in 430 individuals by SnaPshot technology.Among them,37 SNPs (49.3%) were genotyped successfully.A general linear model was established for correlation analysis between different genotypes at SNP loci and various growth traits using spss 19.0 software.At the position of CL1452.Contig9_All-847,individuals with the CC genotype had significantly greater values for body weight,total length and caudal peduncle length than those with the TT genotypes (P < 0.05).Individuals with the CC genotype had significantly greater values for body depth and head length than those with the TT or CT genotypes (P > 0.05).Other SNP loci were not significantly correlated with growth traits.Genetic structure was analyzed by POPGENE32 software.The average expected heterozygosity (Ho) and polymorphism information content (PIC) for 10 SNPs was 0.459 and 0.356 in the Youlu No.1 largemouth bass population,respectively,which suggested that the Youlu No.1 largemouth bass population had a relatively high level of genetic diversity.Chi-square test showed that four SNP loci (CL1328.Contigl_All-3 028,CL1115.Contig2_All-1357,Unigene14288_All-228 and CL1339.Contig2_All-844) were not in Hardy-Weinberg equilibrium in Youlu No.1 largemouth bass population.The growth-related CL1452.Contig9_All-847 locus might be a useful candidate molecular marker for largemouth bass molecular marker-assisted selection.

Micropterus salmoidestranscriptomeSNPgenetic diversitycorrelation analysis

李胜杰、白俊杰、赵荦、朱冰、朱新平

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中国水产科学研究院珠江水产研究所,农业部热带亚热带水产资源利用与养殖重点实验室,广州510380

上海海洋大学水产与生命学院,上海201306

大口黑鲈 转录组 SNP 遗传多样性 关联分析

广东省科技计划项目广东省科技计划项目渔港建设和渔业产业发展专项浙江省农业(水产)新品种选育重大科技专项

2016A0202100202015A020209035A201601A122016C02055-3

2018

海洋渔业
中国水产学会 中国水产科学研究院东海水产研究所

海洋渔业

CSTPCDCSCD北大核心
影响因子:1.063
ISSN:1004-2490
年,卷(期):2018.40(1)
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