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Three protocols in this issue highlight applications of emulsification procedures, which deliver high-throughput potential to the molecular biology laboratory, without the need for automation. These procedures have already generated interesting results and spurred the development of exciting new technologies, while requiring only readily available laboratory equipment.

The 454 Sequencer has dramatically increased the volume of sequencing conducted by the scientific community and expanded the range of problems that can be addressed by the direct readouts of DNA sequence. Key breakthroughs in the development of the 454 sequencing platform included higher throughput, simplified all in vitro sample preparation and the miniaturization of sequencing chemistries, enabling massively parallel sequencing reactions to be carried out at a scale and cost not previously possible. Together with other recently released next-generation technologies, the 454 platform has started to democratize sequencing, providing individual laboratories with access to capacities that rival those previously found only at a handful of large sequencing centers. Over the past 18 months, 454 sequencing has led to a better understanding of the structure of the human genome, allowed the first non-Sanger sequence of an individual human and opened up new approaches to identify small RNAs. To make next-generation technologies more widely accessible, they must become easier to use and less costly. In the longer term, the principles established by 454 sequencing might reduce cost further, potentially enabling personalized genomics.

BackgroundWhole genome amplification is an increasingly common technique through which minute amounts of DNA can be multiplied to generate quantities suitable for genetic testing and analysis. Questions of amplification-induced error and template bias generated by these methods have previously been addressed through either small scale (SNPs) or large scale (CGH array, FISH) methodologies. Here we utilized whole genome sequencing to assess amplification-induced bias in both coding and non-coding regions of two bacterial genomes.Halobacteriumspecies NRC-1 DNA andCampylobacter jejuniwere amplified by several common, commercially available protocols: multiple displacement amplification, primer extension pre-amplification and degenerate oligonucleotide primed PCR. The amplification-induced bias of each method was assessed by sequencing both genomes in their entirety using the 454 Sequencing System technology and comparing the results with those obtained from unamplified controls.ResultsAll amplification methodologies induced statistically significant bias relative to the unamplified control. For theHalobacteriumspecies NRC-1 genome, assessed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 119 times greater than those from unamplified material, 164.0 times greater for Repli-G, 165.0 times greater for PEP-PCR and 252.0 times greater than the unamplified controls for DOP-PCR. ForCampylobacter jejuni, also analyzed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 15 times greater than those from unamplified material, 19.8 times greater for Repli-G, 61.8 times greater for PEP-PCR and 220.5 times greater than the unamplified controls for DOP-PCR.ConclusionOf the amplification methodologies examined in this paper, the multiple displacement amplification products generated the least bias, and produced significantly higher yields of amplified DNA.

A method is described that uses the ABI PRISMTM 310 genetic analyzer in conjunction with custom-designed software to identify and classify RAPD products. This methodology will also work well with AFLPs and microsatellite analyses. The methodology uses the ABI PRISM 310's high-throughput (>500 samples per week) capabilities and in-lane molecular weight standards to efficiently separate and size DNA products. Peak detection, locus classification and export of the data in a form accessible by several genetic analysis programs were accomplished through a custom-written software program (Peaks©). Various criteria used by the program to identify and classify loci are described, and their effect on population analyses is examined. Criteria providing an effective, robust determination of population structure are presented.