In a recent study reported in Scientific Reports, researchers from the Netherlands have introduced and assessed an automated protocol for the Illumina library preparation kit using a liquid handler robot. The objective of their approach was to decrease hands-on time and human error while ensuring consistent and high-quality DNA libraries for whole-genome sequencing (WGS) of bacterial strains.
Background Whole-genome sequencing (WGS) is a widely utilized technique offering comprehensive genetic insights for various purposes including disease research, population genetics, microbial identification, and genotyping. However, the library preparation (LP) step, which involves fragmenting DNA and incorporating adapter sequences for sequencing, is labor-intensive and prone to errors. This step significantly influences the quality and quantity of sequencing data. Therefore, automating LP steps through robotic liquid handlers can potentially enhance the efficiency, reliability, and reproducibility of WGS.
Research Overview The researchers introduced an automated LP protocol for the Illumina DNA preparation (Prep) kit, commonly employed in next-generation sequencing (NGS) applications. The kit utilizes tagmentation chemistry for DNA fragmentation and adapter sequence addition through polymerase chain reaction (PCR) amplification. The study utilized the flowbot ONE liquid handler robot and its software for automation, eliminating the requirement for advanced programming skills.
The manual protocol of the Illumina DNA Prep kit was translated into an automated workflow using the flowbot ONE software. The robot was equipped with 1-channel and 8-channel pipetting modules, and the deck was configured with necessary devices such as heating/cooling and magnetic modules, as well as placements for tube racks and pipetting tips.
The workflow comprised pre-PCR and post-PCR stages, with the transfer of PCR tube strips to and from the PCR machine performed using a pipette. To mitigate the negative effects of freeze-thawing cycles, Illumina DNA/ribonucleic acid (RNA) unique dual (UD) indexes were manually added to all LP before the PCR.
Research Findings The automated process consistently yielded high library DNA quantities comparable to those obtained through manual processing. No dropouts were observed in any of the automated or manual LPs conducted. The minimum library DNA yield achieved with the automated process was approximately 0.6 ng/µl, sufficient for initiating an NGS run.
Additionally, the quality of sequence data generated by the automated workflow closely matched that of the manual workflow. Comparative analysis of genome assembly quality metrics between the automated and manual workflows showed minimal differences. Furthermore, genome assemblies from libraries processed twice in separate flowbot ONE runs exhibited comparable quality, highlighting the reproducibility of outputs.
Moreover, the automated workflow significantly reduced hands-on processing time and overall turn-around time per set of samples compared to the manual process, demonstrating efficiency gains.
Applications and Conclusion Automating DNA library preparation holds implications for various fields including clinical diagnostics and research, by enhancing speed, accuracy, and standardization of sequencing workflows. In clinical settings, streamlined automation could expedite disease-related genetic variant identification, potentially improving patient outcomes. In research, automation facilitates large-scale genomic studies, accelerating discoveries in multiple domains.
In conclusion, the automated LP protocol for the Illumina DNA Prep kit demonstrates robust performance and reproducibility comparable to manual methods. The efficiency gains and potential cost-effectiveness highlight the practical advantages of automation in WGS workflows. Further optimization and expansion of the automated workflow could enhance its applicability across different sequencing applications, potentially advancing clinical diagnostics and research in microbial genomics.
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