Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Restriction Site Tiling Analysis: accurate discovery and quantitative genotyping of genome-wide polymorphisms using nucleotide arrays. | Pespeni et al. Genome Biology 2010 11 R44 http 2010 11 4 R44 w Genome Biology METHOD _ Open Access Restriction Site Tiling Analysis accurate discovery and quantitative genotyping of genome-wide polymorphisms using nucleotide arrays Melissa H Pespeni 1 Thomas A Oliver1 Mollie KManier1 2 and Stephen R Palumbi1 Abstract High-throughput genotype data can be used to identify genes important for local adaptation in wild populations phenotypes in lab stocks or disease-related traits in human medicine. Here we advance microarray-based genotyping for population genomics with Restriction Site Tiling Analysis. The approach simultaneously discovers polymorphisms and provides quantitative genotype data at 10 000s of loci. It is highly accurate and free from ascertainment bias. We apply the approach to uncover genomic differentiation in the purple sea urchin. Background Uncovering the genetic underpinnings of adaptive evolution is key to understanding the evolutionary processes that generate biodiversity 1 . The combined use of genome scans and population genetic analyses has been applied in both model and non-model organisms to discover and document the role of specific genes in adaptive evolution 2-6 . Surveys of hundreds to thousands of genome-wide markers identified from SNP databases microarray-based SNP survey methods or sequences have been applied in humans yeast dogs the malaria parasite Plasmodium falciparum Drosophila and Arabi-dopsis 7-14 . Based on massive sequencing efforts to identify polymorphisms these approaches have led to insightful evaluation of genetic adaptation. However these data sets can be complicated by ascertainment bias 15 16 and have historically required a large investment in SNP development. Approaches to non-model organisms have also resulted in powerful tools to characterize the imprint of selection across the genome at smaller numbers of loci. Tens to hundreds of anonymous genome-wide markers such as amplified fragment length
