作者: P. Andolfatto , D. Davison , D. Erezyilmaz , T. T. Hu , J. Mast
关键词: Computational biology 、 Genotyping 、 Linkage (software) 、 Gene mapping 、 Shotgun sequencing 、 Quantitative trait locus 、 genomic DNA 、 Genome 、 Genetics 、 Biology 、 Contig
摘要: We present a new approach to genotyping based on multiplexed shotgun sequencing that can identify recombination breakpoints in large number of individuals simultaneously at resolution sufficient for most mapping purposes, such as quantitative trait locus (QTL) and induced mutations. first describe simple library construction protocol uses just 10 ng genomic DNA per individual makes the accessible any laboratory with standard molecular biology equipment. Sequencing this results sequence reads widely distributed across genomes bar-coded individuals. develop Hidden Markov Model estimate ancestry all locations using these data. demonstrate utility by dominant marker allele D. simulans within 105 kb its true position 96 F1-backcross genotyped single lane an Illumina Genome Analyzer. further our method genetically more than 400 previously unassembled contigs linkage groups evaluating quality targeted introgression lines. At level multiplexing divergence between strains, allows estimation median 38-kb intervals. Our analysis suggests higher levels and/or use strains lower are practicable.