Frontiers in GeneticsGenomicsPeer-reviewed journal article
Development of a high-density 665 K SNP array for rainbow trout genome-wide genotyping
Maria BernardiD, Audrey Dehaullon, Guangtu GaoiD, Katy PauliD, Henri LagardeiD, Mathieu CharlesiD, Martin PrchaliD, Jeanne Danon, Lydia Jaffrelo, Charles PoncetiD, Pierre Patrice, Pierrick HaffrayiD, Edwige Quillet, Mathilde Dupont‐NivetiD, Yniv PaltiiD, Delphine LalliasiD, Florence PhocasiD
Abstract
Single nucleotide polymorphism (SNP) arrays, also named >, enable very large numbers of individuals to be genotyped at a targeted set of thousands of genome-wide identified markers. We used preexisting variant datasets from USDA, a French commercial line and 30X-coverage whole genome sequencing of INRAE isogenic lines to develop an Affymetrix 665 K SNP array (HD chip) for rainbow trout. In total, we identified 32,372,492 SNPs that were polymorphic in the USDA or INRAE databases. A subset of identified SNPs were selected for inclusion on the chip, prioritizing SNPs whose flanking sequence uniquely aligned to the Swanson reference genome, with homogenous repartition over the genome and the highest Minimum Allele Frequency in both USDA and French databases. Of the 664,531 SNPs which passed the Affymetrix quality filters and were manufactured on the HD chip, 65.3% and 60.9% passed filtering metrics and were polymorphic in two other distinct French commercial populations in which, respectively, 288 and 175 sampled fish were genotyped. Only 576,118 SNPs mapped uniquely on both Swanson and Arlee reference genomes, and 12,071 SNPs did not map at all on the Arlee reference genome. Among those 576,118 SNPs, 38,948 SNPs were kept from the commercially available medium-density 57K SNP chip. We demonstrate the utility of the HD chip by describing the high rates of linkage disequilibrium at 2 kb to 10 kb in the rainbow trout genome in comparison to the linkage disequilibrium observed at 50 kb to 100 kb which are usual distances between markers of the medium-density chip.
- organism: non-human primate
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 29
- FWCI
- 3.48
- Field percentile
- top 6%
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