首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Selection and use of SNP markers for animal identification and paternity analysis in U.S. beef cattle
Authors:Michael P Heaton  Gregory P Harhay  Gary L Bennett  Roger T Stone  W Michael Grosse  Eduardo Casas  John W Keele  Timothy PL Smith  Carol G Chitko-McKown  William W Laegreid
Institution:(1) USDA, ARS, U.S. Meat Animal Research Center (MARC), State Spur 18D, P.O. Box 166, Clay Center, Nebraska 68933-0166, USA, US
Abstract:DNA marker technology represents a promising means for determining the genetic identity and kinship of an animal. Compared with other types of DNA markers, single nucleotide polymorphisms (SNPs) are attractive because they are abundant, genetically stable, and amenable to high-throughput automated analysis. In cattle, the challenge has been to identify a minimal set of SNPs with sufficient power for use in a variety of popular breeds and crossbred populations. This report describes a set of 32 highly informative SNP markers distributed among 18 autosomes and both sex chromosomes. Informativity of these SNPs in U.S. beef cattle populations was estimated from the distribution of allele and genotype frequencies in two panels: one consisting of 96 purebred sires representing 17 popular breeds, and another with 154 purebred American Angus from six herds in four Midwestern states. Based on frequency data from these panels, the estimated probability that two randomly selected, unrelated individuals will possess identical genotypes for all 32 loci was 2.0 × 10−13 for multi-breed composite populations and 1.9 × 10−10 for purebred Angus populations. The probability that a randomly chosen candidate sire will be excluded from paternity was estimated to be 99.9% and 99.4% for the same respective populations. The DNA immediately surrounding the 32 target SNPs was sequenced in the 96 sires of the multi-breed panel and found to contain an additional 183 polymorphic sites. Knowledge of these additional sites, together with the 32 target SNPs, allows the design of robust, accurate genotype assays on a variety of high-throughput SNP genotyping platforms.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号