Design and characterization of a 52K SNP chip for goats
2014
Tosser-Klopp, Gwenola | Bardou, Philippe | Bouchez, Olivier | Cabau, Cédric | Crooijmans, Richard | Dong, Yang | Donnadieu-Tonon, Cecile | Eggen, Andre | Heuven, Henri C. M. | Jamli, Saadiah | Jiken, Abdullah Johari | Klopp, Christophe | Lawley, Cynthia T | Mcewan, John | Martin, Patrice | Moreno-Romieux, Carole | Mulsant, Philippe | Nabihoudine, Ibouniyamine | Pailhoux, Eric | Palhière, Isabelle | Rupp, Rachel | Sarry, Julien | Sayre, Brian L. | Tircazes, Aurelie | Wang, Jun | Wang, Wen | Zhang, Wenguang | Laboratoire de Génétique Cellulaire (LGC) ; Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT) ; Institut National Polytechnique (Toulouse) (Toulouse INP) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP) ; Université de Toulouse (UT)-Université de Toulouse (UT) | Animal Breeding and Genomics Centre ; Wageningen University and Research [Wageningen] (WUR) | Kunming Institute of Zoology, State Key Laboratory of Genetic Resources and Evolution ; Chinese Academy of Sciences [Changchun Branch] (CAS) | Faculty of Veterinary Medicine ; Universiteit Utrecht / Utrecht University [Utrecht] | Strategic Livestock Research Centre ; Malaysian Agricultural Research Development Institute | Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA) ; Institut National de la Recherche Agronomique (INRA) | Invermay Agricultural Center ; AgResearch | Génétique Animale et Biologie Intégrative (GABI) ; Institut National de la Recherche Agronomique (INRA)-AgroParisTech | Station d'Amélioration Génétique des Animaux (SAGA) ; Institut National de la Recherche Agronomique (INRA) | Biologie du développement et reproduction (BDR) ; École nationale vétérinaire d'Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS) | Department of Biology ; Virginia State University | Inner Mongolia Key Laboratory of Animal Genetics, Breeding and Reproduction ; Inner Mongolia Agricultural University | ANR-09-GENM-009-03 GENIDOV, ANR CHEST-454, CAPRISNIP programme: UNCEIA, CAPGENES and APIS-GENE French Breeding organizations
Chantier qualité GA
Mostrar más [+] Menos [-]Inglés. The success of Genome Wide Association Studies in the discovery of sequence variation linked to complex traits in humans has increased interest in high throughput SNP genotyping assays in livestock species. Primary goals are QTL detection and genomic selection. The purpose here was design of a 50-60,000 SNP chip for goats. The success of a moderate density SNP assay depends on reliable bioinformatic SNP detection procedures, the technological success rate of the SNP design, even spacing of SNPs on the genome and selection of Minor Allele Frequencies (MAF) suitable to use in diverse breeds. Through the federation of three SNP discovery projects consolidated as the International Goat Genome Consortium, we have identified approximately twelve million high quality SNP variants in the goat genome stored in a database together with their biological and technical characteristics. These SNPs were identified within and between six breeds (meat, milk and mixed): Alpine, Boer, Creole, Katjang, Saanen and Savanna, comprising a total of 97 animals. Whole genome and Reduced Representation Library sequences were aligned on >10 kb scaffolds of the de novo goat genome assembly. The 60,000 selected SNPs, evenly spaced on the goat genome, were submitted for oligo manufacturing (Illumina, Inc) and published in dbSNP along with flanking sequences and map position on goat assemblies (i.e. scaffolds and pseudo-chromosomes), sheep genome V2 and cattle UMD3.1 assembly. Ten breeds were then used to validate the SNP content and 52,295 loci could be successfully genotyped and used to generate a final cluster file. The combined strategy of using mainly whole genome Next Generation Sequencing and mapping on a contig genome assembly, complemented with Illumina design tools proved to be efficient in producing this GoatSNP50 chip. Advances in use of molecular markers are expected to accelerate goat genomic studies in coming years.
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