DNA library preparation for next-generation sequencing (NGS) involves fragmentation of target DNA molecules into varying sizes, end repair or A-tailing and ligation of platform-specific adapters to the library. The libraries are then amplified and cleaned up subsequently. Depending on the nature of the DNA sample (e.g. fresh sample versus formalin-fixed paraffin embedded (FFPE) tissue), the workflow may require optimization.
Fragmentation of DNA can be achieved through mechanical or enzymatic shearing. While mechanical shearing is considered the gold standard, enzyme-based fragmentation affords speed, less hands-on time and convenience to enable automation of the workflow. Since the adapter size is constant, the library size is adjusted based on the desired insert size and the type of application. Amplification of library fragments is typically required for many applications, including target enrichment. Regions within the genome, for example those that may be GC-rich, are difficult to amplify and may introduce sequencing bias.
Roche offers DNA library preparation reagents containing high-quality enzymes and reaction buffers engineered using our directed evolution technology. The enzymes combine the efficiency of mechanical shearing methods and the convenience of enzymes during fragmentation. They work with a variety of sample types and deliver high-quality sequencing results. The KAPA Library Preparation Kits include modules required for end repair, A-tailing, ligation and amplification. KAPA HiFi DNA polymerase has been optimized to reduce bias during amplification to ensure uniformity of coverage across the genome. With KAPA Adapters and Cleanup Beads, Roche offers a complete library preparation solution for NGS.
The KAPA EvoPlus Kits offer improved fragmentation performance, insensitivity to inhibitors and reduced sequencing artefacts through our streamlined and fully automatable workflow. Bringing a new and upgraded enzymatic fragmentation and library prep solution to the market will enable researchers to achieve higher confidence with increased sequencing efficiency.
*Data on file.
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