Development of SNP genotyping arrays in two shellfish species
| Type | Article | ||||||||||||
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| Date | 2014-07 | ||||||||||||
| Language | English | ||||||||||||
| Author(s) | Lapegue Sylvie 1, Harrang Estelle1, Heurtebise Serge1, Flahauw Emilie1, Donnadieu C.2, Gayral P.3, 4, Ballenghien M.3, Genestout L.5, Barbotte L.5, Mahla R.5, Haffray P.6, Klopp C.7 |
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| Affiliation(s) | 1 : IFREMER, LGPMM, SG2M, Lab Genet & Pathol Mollusques Marins, La Tremblade, France. 2 : INRA, Lab Genet Cellulaire, Plateforme GeT PlaGe Genotoul, UMR444, F-31326 Castanet Tolosan, France. 3 : Univ Montpellier 2, Inst Sci Evolut Montpellier, CNRS, UMR 5554, Montpellier, France. 4 : Univ Tours, Fac Sci & Tech, Inst Rech Biol Insecte, CNRS,UMR 7261, Tours, France. 5 : LABOGENA, Domaine Vilvert, Jouy En Josas, France. 6 : INRA, SYSAAF, Stn LPGP, F-35042 Rennes, France. 7 : INRA, Sigenae, Biometrie & Intelligence Artificielle UR875, F-31326 Castanet Tolosan, France. |
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| Source | Molecular Ecology Resources (1755-098X) (Wiley-blackwell), 2014-07 , Vol. 14 , N. 4 , P. 820-830 | ||||||||||||
| DOI | 10.1111/1755-0998.12230 | ||||||||||||
| WOS© Times Cited | 33 | ||||||||||||
| Note | Fig. S1 Percentage of SNPs for which the genotyping failed, or that were considered as polymorphic or monomorphic according to their in vitro or in silico origin and for each array. http://onlinelibrary.wiley.com/store/10.1111/1755-0998.12230/asset/supinfo/men12230-sup-0001-FigS1.pdf?v=1&s=611864e6d5ef786564ce7d8f57bd23b0653c82cd Fig. S2 Box plot representation of minor allele frequency (MAF) in a subset of four C. gigas populations (LAF = La Fumée, France; MAR = Marennes, France; ARE = Arcachon, France; DAN = Danemark) for a panel 203 SNPs that were polymorphic in this subset. http://onlinelibrary.wiley.com/store/10.1111/1755-0998.12230/asset/supinfo/men12230-sup-0002-FigS2.pdf?v=1&s=f825cc20292d5c8c501f930fd5a29b405aecfa63 Table S1 List and characteristics of the 384 SNPs of the Pacific oyster array. http://onlinelibrary.wiley.com/store/10.1111/1755-0998.12230/asset/supinfo/men12230-sup-0003-TableS1.xlsx?v=1&s=dd8351dbb49f270dbf7dae27bc727d3e8cf7c5b4 Table S2 List and characteristics of the 384 SNPs of the European flat oyster array. http://onlinelibrary.wiley.com/store/10.1111/1755-0998.12230/asset/supinfo/men12230-sup-0004-TableS2.xls?v=1&s=80af8b0e3cd06eec38993fe7ff77306d5afe2b23 | ||||||||||||
| Keyword(s) | Crassostrea gigas, GoldenGate technology, Ostrea edulis, oysters, SNP genotyping | ||||||||||||
| Abstract | Use of SNPs has been favored due to their abundance in plant and animal genomes, accompanied by the falling cost and rising throughput capacity for detection and genotyping. Here, we present in vitro (obtained from targeted sequencing) and in silico discovery of SNPs, and the design of medium-throughput genotyping arrays for two oyster species, the Pacific oyster, Crassostrea gigas, and European flat oyster, Ostrea edulis. Two sets of 384 SNP markers were designed for two Illumina GoldenGate arrays and genotyped on more than 1000 samples for each species. In each case, oyster samples were obtained from wild and selected populations and from three-generation families segregating for traits of interest in aquaculture. The rate of successfully genotyped polymorphic SNPs was about 60% for each species. Effects of SNP origin and quality on genotyping success (Illumina functionality score) were analyzed and compared with other model and non-model species. Furthermore, a simulation was made based on a subset of the C. gigas SNP array with a minor allele frequency of 0.3 and typical crosses used in shellfish hatcheries. This simulation indicated that at least 150 markers were needed to perform an accurate parental assignment. Such panels might provide valuable tools to improve our understanding of the connectivity between wild (and selected) populations and could contribute to future selective breeding programs. | ||||||||||||
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