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Optimizing illumina next-generation sequencing library preparation for extremely at-biased genomes

BMC Genomics · 2012 · Vol. 13(1) · pp. 1–1

Samuel O. Oyola✉(Wellcome Sanger Institute)Thomas D. Otto(Wellcome Sanger Institute)Yong Gu(Wellcome Sanger Institute)G. Maslen(Wellcome Sanger Institute)Magnus Manske(Wellcome Sanger Institute)Susana Campino(Wellcome Sanger Institute)Daniel J. Turner(Oxford Nanopore Technologies (United Kingdom))Bronwyn MacInnis(Wellcome Sanger Institute)Dominic Kwiatkowski(Wellcome Sanger Institute)Harold Swerdlow(Wellcome Sanger Institute)Michael A. Quail(Wellcome Sanger Institute)

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Abstract

We have developed a robust and optimized Next-Generation Sequencing library amplification method suitable for extremely AT-rich genomes. The new amplification conditions significantly reduce bias and retain the complexity of either extremes of base composition. This development will greatly benefit sequencing clinical samples that often require amplification due to low mass of DNA starting material.

Genomics and Phylogenetic Studies RNA and protein synthesis mechanisms Antibiotic Resistance in BacteriaBiologyComputational biologyGenomeMassive parallel sequencingDNA sequencingGC-contentIllumina dye sequencingDNA microarrayGeneticsDNA

MeSH terms

Base CompositionPlasmodium falciparumDNA-Directed RNA PolymerasesViral ProteinsReproducibility of ResultsGene LibraryPolymerase Chain ReactionGenome, ProtozoanGenetic LociHigh-Throughput Nucleotide Sequencing