Genome-wide discovery and in silico mapping of gene-associated SNPs in Nile tilapia

被引:36
|
作者
Xia, Jun Hong [1 ]
Wan, Zi Yi [1 ]
Ng, Zhen Long [2 ]
Wang, Le [1 ]
Fu, Gui Hong [1 ]
Lin, Grace [1 ]
Liu, Feng [1 ]
Yue, Gen Hua [1 ,2 ]
机构
[1] Natl Univ Singapore, Temasek Life Sci Lab, Mol Populat Genet Grp, Singapore 117604, Singapore
[2] Natl Univ Singapore, Dept Biol Sci, Singapore 117543, Singapore
基金
新加坡国家研究基金会;
关键词
RNA-seq; Oreochromis niloticus; Population genetics; SNP; Tilapia; SINGLE-NUCLEOTIDE POLYMORPHISMS; QUANTITATIVE TRAIT LOCI; OREOCHROMIS-NILOTICUS; RNA-SEQ; IDENTIFICATION; POPULATIONS; GROWTH; GENOTYPES; CICHLIDAE; ALIGNMENT;
D O I
10.1016/j.aquaculture.2014.04.028
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Single nucleotide polymorphisms (SNPs) are important DNA markers for genetic studies. However, the number of SNPs is limited in important aquaculture species. We have identified 23,535 high quality SNPs in genes of Nile tilapia (Oreochromis niloticus) by analyzing the available RNA-seq data. Among them, 17,699 SNPs were mapped onto 22 linkage groups (LG) using in silico mapping. The number of mapped SNPs ranged from 332 on LG2 to 1148 on LG16_21 with an average number of 805 SNPs/LG. The mapped SNPs were located in 7146 genes. This SNP resource will be useful in monitoring the genetic diversity and mapping QTL for genetic improvement of tilapia species. We further studied the relationships among individuals from four populations (GIFT, O. niloticus, Red tilapia and O. mossambicus) using 101 SNPs from LG23. Ninety-four SNPs (similar to 93%) were polymorphic in the tested populations. Red tilapia (77%) had the highest number of informative markers than GIFT (69%), Nile tilapia (56%), and Mozambique tilapia (12%). Significant population structure was detected through phylogenic and population structure analysis. The Red tilapia individuals were closely related to Mozambique tilapia, but were split into several subclades, confirming that red tilapia is a hybrid admixture of different resources of tilapias. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:67 / 73
页数:7
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