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Sequencing Methods (sequencing + methods)

Distribution by Scientific Domains

Life Sciences	75%

Selected Abstracts

Absence of deafness-associated connexin-26 (GJB2) gene mutations in the Omani population ,,

HUMAN MUTATION, Issue 6 2001
Mehmet Simsek
Abstract We have investigated the prevalence of mutations in the connexin 26 (GJB2) gene in Omani population using both PCR-RFLP and direct DNA sequencing methods. Two common GJB2 gene mutations (35delG and 167delT) were screened in 280 healthy controls and 95 deaf patients using two different PCR-RFLP methods. To investigate other GJB2 mutations, we have amplified and sequenced DNA from 51 unrelated deaf patients and 17 control subjects. None of the samples studied, either by RFLP or sequencing, revealed any deafness-associated mutations in the coding region of the GJB2 gene. These findings disagree with many reports on the GJB2 gene, describing various mutations as the cause of congenital recessive deafness. Although, an amino acid substitution (S86T) was identified by sequencing, we conclude that this change could not be associated with deafness since it was present in all the control and patient samples sequenced. © 2001 Wiley-Liss, Inc. [source]

Sequencing breakthroughs for genomic ecology and evolutionary biology

MOLECULAR ECOLOGY RESOURCES, Issue 1 2008
MATTHEW E. HUDSON
Abstract Techniques involving whole-genome sequencing and whole-population sequencing (metagenomics) are beginning to revolutionize the study of ecology and evolution. This revolution is furthest advanced in the Bacteria and Archaea, and more sequence data are required for genomic ecology to be fully applied to the majority of eukaryotes. Recently developed next-generation sequencing technologies provide practical, massively parallel sequencing at lower cost and without the requirement for large, automated facilities, making genome and transcriptome sequencing and resequencing possible for more projects and more species. These sequencing methods include the 454 implementation of pyrosequencing, Solexa/Illumina reversible terminator technologies, polony sequencing and AB SOLiD. All of these methods use nanotechnology to generate hundreds of thousands of small sequence reads at one time. These technologies have the potential to bring the genomics revolution to whole populations, and to organisms such as endangered species or species of ecological and evolutionary interest. A future is now foreseeable where ecologists may resequence entire genomes from wild populations and perform population genetic studies at a genome, rather than gene, level. The new technologies for high throughput sequencing, their limitations and their applicability to evolutionary and environmental studies, are discussed in this review. [source]

Plant genome sequencing: applications for crop improvement

PLANT BIOTECHNOLOGY JOURNAL, Issue 1 2010
David Edwards
Summary DNA sequencing technology is undergoing a revolution with the commercialization of second generation technologies capable of sequencing thousands of millions of nucleotide bases in each run. The data explosion resulting from this technology is likely to continue to increase with the further development of second generation sequencing and the introduction of third generation single-molecule sequencing methods over the coming years. The question is no longer whether we can sequence crop genomes which are often large and complex, but how soon can we sequence them? Even cereal genomes such as wheat and barley which were once considered intractable are coming under the spotlight of the new sequencing technologies and an array of new projects and approaches are being established. The increasing availability of DNA sequence information enables the discovery of genes and molecular markers associated with diverse agronomic traits creating new opportunities for crop improvement. However, the challenge remains to convert this mass of data into knowledge that can be applied in crop breeding programs. [source]

A workflow to increase the detection rate of proteins from unsequenced organisms in high-throughput proteomics experiments

PROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue 23 2007
Jonas Grossmann
Abstract We present and evaluate a strategy for the mass spectrometric identification of proteins from organisms for which no genome sequence information is available that incorporates cross-species information from sequenced organisms. The presented method combines spectrum quality scoring, de novo sequencing and error tolerant BLAST searches and is designed to decrease input data complexity. Spectral quality scoring reduces the number of investigated mass spectra without a loss of information. Stringent quality-based selection and the combination of different de novo sequencing methods substantially increase the catalog of significant peptide alignments. The de novo sequences passing a reliability filter are subsequently submitted to error tolerant BLAST searches and MS-BLAST hits are validated by a sampling technique. With the described workflow, we identified up to 20% more groups of homologous proteins in proteome analyses with organisms whose genome is not sequenced than by state-of-the-art database searches in an Arabidopsis thaliana database. We consider the novel data analysis workflow an excellent screening method to identify those proteins that evade detection in proteomics experiments as a result of database constraints. [source]