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Development and characterisation of an expressed sequence tags (EST)-derived single nucleotide polymorphisms (SNPs) resource in rainbow trout
Authors:Boussaha Mekki  Guyomard René  Cabau Cédric  Esquerré Diane  Quillet Edwige
Abstract:ABSTRACT: BACKGROUND: There is considerable interest in developing high-throughput genotyping with singlenucleotide polymorphisms (SNPs) for the identification of genes affecting importantecological or economical traits. SNPs are evenly distributed throughout the genome and arelikely to be functionally relevant. In rainbow trout, in silico screening of EST databasesrepresents an attractive approach for de novo SNP identification. Nevertheless, ESTsequencing errors and assembly of EST paralogous sequences can lead to the identification offalse positive SNPs which renders the reliability of EST-derived SNPs relatively low. Furthervalidation of EST-derived SNPs is therefore required. The objective of this work was toassess the quality of and to validate a large number of rainbow trout EST-derived SNPs. RESULTS: A panel of 1,152 EST-derived SNPs was selected from the INRA Sigenae SNP database andwas genotyped in standard and double haploid individuals from several populations using theIllumina GoldenGate BeadXpress assay. High-quality genotyping data were obtained for 958 SNPs representing a genotyping success rate of 83.2 %, out of which, 350 SNPs (36.5 %)were polymorphic in at least one population and were designated as true SNPs. They alsoproved to be a potential tool to investigate genetic diversity of the species, as the set of SNPsuccessfully sorted individuals into three main groups using STRUCTURE software.Functional annotations revealed 28 non-synonymous SNPs, out of which four substitutionswere predicted to affect protein functions. A subset of 223 true SNPs were polymorphic inthe two INRA mapping reference families and were integrated into the INRA microsatellitebasedlinkage map. CONCLUSIONS: Our results represent the first study of EST-derived SNPs validation in rainbow trout, aspecies whose genome sequences is not yet available. We designed several specific filters inorder to improve the genotyping yield. Nevertheless, our selection criteria should be furtherimproved in order to reduce the observed high rate of false positive SNPs which results fromthe occurrence of whole genome duplications.
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