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Performance of high-throughput sequencing for the discovery of genetic variation across the complete size spectrum.

ABSTRACT: We observed that current high-throughput sequencing approaches only detected a fraction of the full size-spectrum of insertions, deletions, and copy number variants compared with a previously published, Sanger-sequenced human genome. The sensitivity for detection was the lowest in the 100- to 10,000-bp size range, and at DNA repeats, with copy number gains harder to delineate than losses. We discuss strategies for discovering the full spectrum of genetic variation necessary for disease association studies.

SUBMITTER: Pang AW

PROVIDER: S-EPMC3887540 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Performance of high-throughput sequencing for the discovery of genetic variation across the complete size spectrum.

Pang Andy Wing Chun AW Macdonald Jeffrey R JR Yuen Ryan K C RK Hayes Vanessa M VM Scherer Stephen W SW

G3 (Bethesda, Md.) 20140110 1

We observed that current high-throughput sequencing approaches only detected a fraction of the full size-spectrum of insertions, deletions, and copy number variants compared with a previously published, Sanger-sequenced human genome. The sensitivity for detection was the lowest in the 100- to 10,000-bp size range, and at DNA repeats, with copy number gains harder to delineate than losses. We discuss strategies for discovering the full spectrum of genetic variation necessary for disease associati ...[more]

PMID: 24192839

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Project description:BackgroundWith the advance of new massively parallel genotyping technologies, quantitative trait loci (QTL) fine mapping and map-based cloning become more achievable in identifying genes for important and complex traits. Development of high-density genetic markers in the QTL regions of specific mapping populations is essential for fine-mapping and map-based cloning of economically important genes. Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variation existing between any diverse genotypes that are usually used for QTL mapping studies. The massively parallel sequencing technologies (Roche GS/454, Illumina GA/Solexa, and ABI/SOLiD), have been widely applied to identify genome-wide sequence variations. However, it is still remains unclear whether sequence data at a low sequencing depth are enough to detect the variations existing in any QTL regions of interest in a crop genome, and how to prepare sequencing samples for a complex genome such as soybean. Therefore, with the aims of identifying SNP markers in a cost effective way for fine-mapping several QTL regions, and testing the validation rate of the putative SNPs predicted with Solexa short sequence reads at a low sequencing depth, we evaluated a pooled DNA fragment reduced representation library and SNP detection methods applied to short read sequences generated by Solexa high-throughput sequencing technology.ResultsA total of 39,022 putative SNPs were identified by the Illumina/Solexa sequencing system using a reduced representation DNA library of two parental lines of a mapping population. The validation rates of these putative SNPs predicted with low and high stringency were 72% and 85%, respectively. One hundred sixty four SNP markers resulted from the validation of putative SNPs and have been selectively chosen to target a known QTL, thereby increasing the marker density of the targeted region to one marker per 42 K bp.ConclusionsWe have demonstrated how to quickly identify large numbers of SNPs for fine mapping of QTL regions by applying massively parallel sequencing combined with genome complexity reduction techniques. This SNP discovery approach is more efficient for targeting multiple QTL regions in a same genetic population, which can be applied to other crops.

Project description:BackgroundFetal alcohol spectrum disorders (FASD) is a leading cause of neurodevelopmental disability. Genetic factors can modify vulnerability to FASD, but these elements are poorly characterized.MethodsWe performed high-throughput transcriptional profiling to identify gene candidates that could potentially modify vulnerability to ethanol's (EtOH's) neurotoxicity. We interrogated a unique genetic resource, neuroprogenitor cells from 2 closely related Gallus gallus lines having well-characterized robust or attenuated EtOH responses with respect to intracellular calcium mobilization and CaMKII/β-catenin-dependent apoptosis. Samples were not exposed to EtOH prior to analysis.ResultsWe identified 363 differentially expressed genes in neuroprogenitors from these 2 lines. Kyoto Encyclopedia of Genes and Genomes analysis revealed several gene clusters having significantly differential enrichment in gene expression. The largest and most significant cluster comprised ribosomal proteins (38 genes, p = 1.85 × 10(-47) ). Other significantly enriched gene clusters included metabolism (25 genes, p = 0.0098), oxidative phosphorylation (18 genes, p = 1.10 × 10(-11) ), spliceosome (13 genes, p = 7.02 × 10(-8) ), and protein processing in the endoplasmic reticulum (9 genes, p = 0.0011). Inspection of gene ontogeny (GO) terms identified 24 genes involved in the calcium/β-catenin signals that mediate EtOH's neurotoxicity in this model, including β-catenin itself and both calmodulin isoforms.ConclusionsFour of the identified pathways with altered transcript abundance mediate the flow of cellular information from RNA to protein. Importantly, ribosome biogenesis also senses nucleolar stress and regulates p53-mediated apoptosis in neural crest. Human ribosomopathies produce craniofacial malformations and 11 known ribosomopathy genes were differentially expressed in this model of neural crest apoptosis. Rapid changes in ribosome expression are consistently observed in EtOH-treated mouse embryo neural folds, a model that is developmentally similar to ours. The recurring identification of ribosome biogenesis suggests it is a candidate modifier of EtOH vulnerability. These results highlight this approach's efficacy to formulate new, mechanistic hypotheses regarding EtOH's developmental damage.

Dataset Information

Performance of high-throughput sequencing for the discovery of genetic variation across the complete size spectrum.

Publications

Performance of high-throughput sequencing for the discovery of genetic variation across the complete size spectrum.

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