ABSTRACT
We describe the genome sequencing of an anonymous individual of African origin using a novel ligation-based sequencing assay that enables a unique form of error correction that improves the raw accuracy of the aligned reads to >99.9%, allowing us to accurately call SNPs with as few as two reads per allele. We collected several billion mate-paired reads yielding approximately 18x haploid coverage of aligned sequence and close to 300x clone coverage. Over 98% of the reference genome is covered with at least one uniquely placed read, and 99.65% is spanned by at least one uniquely placed mate-paired clone. We identify over 3.8 million SNPs, 19% of which are novel. Mate-paired data are used to physically resolve haplotype phases of nearly two-thirds of the genotypes obtained and produce phased segments of up to 215 kb. We detect 226,529 intra-read indels, 5590 indels between mate-paired reads, 91 inversions, and four gene fusions. We use a novel approach for detecting indels between mate-paired reads that are smaller than the standard deviation of the insert size of the library and discover deletions in common with those detected with our intra-read approach. Dozens of mutations previously described in OMIM and hundreds of nonsynonymous single-nucleotide and structural variants in genes previously implicated in disease are identified in this individual. There is more genetic variation in the human genome still to be uncovered, and we provide guidance for future surveys in populations and cancer biopsies.
Subject(s)
Base Pairing , Computational Biology/methods , Genetic Variation , Genome, Human , Ligases , Sequence Analysis, DNA/methods , Africa , Base Sequence , Genomics , Genotype , Heterozygote , Homozygote , Humans , Polymorphism, Single Nucleotide , Reference StandardsABSTRACT
Identifying genetic variants and mutations that underlie human diseases requires development of robust, cost-effective tools for routine resequencing of regions of interest in the human genome. Here, we demonstrate that coupling Applied Biosystems SOLiD system-sequencing platform with microarray capture of targeted regions provides an efficient and robust method for high-coverage resequencing and polymorphism discovery in human protein-coding exons.
Subject(s)
Polymorphism, Genetic , Sequence Analysis, DNA/methods , Base Sequence , Biomedical Technology/methods , Exons , Genetic Variation , Genome, Human , Heterozygote , Homozygote , Humans , Molecular Sequence Data , Mutation , Oligonucleotide Array Sequence AnalysisABSTRACT
Forward genetic mutational studies, adaptive evolution, and phenotypic screening are powerful tools for creating new variant organisms with desirable traits. However, mutations generated in the process cannot be easily identified with traditional genetic tools. We show that new high-throughput, massively parallel sequencing technologies can completely and accurately characterize a mutant genome relative to a previously sequenced parental (reference) strain. We studied a mutant strain of Pichia stipitis, a yeast capable of converting xylose to ethanol. This unusually efficient mutant strain was developed through repeated rounds of chemical mutagenesis, strain selection, transformation, and genetic manipulation over a period of seven years. We resequenced this strain on three different sequencing platforms. Surprisingly, we found fewer than a dozen mutations in open reading frames. All three sequencing technologies were able to identify each single nucleotide mutation given at least 10-15-fold nominal sequence coverage. Our results show that detecting mutations in evolved and engineered organisms is rapid and cost-effective at the whole-genome level using new sequencing technologies. Identification of specific mutations in strains with altered phenotypes will add insight into specific gene functions and guide further metabolic engineering efforts.