High-throughput DNA sequencing errors are reduced by orders of magnitude using circle sequencing

Area of Science:

• Genomics
• Molecular Biology
• Biotechnology

Background:

• High-throughput DNA sequencing technologies, such as Illumina, suffer from a high rate of base call errors.
• Millions of errors can occur in large-scale sequencing experiments, limiting data reliability.

Purpose of the Study:

• To develop a novel library preparation strategy for robust computational correction of DNA sequencing errors.
• To significantly improve the accuracy of high-throughput sequencing data.

Main Methods:

• Developed a "circle sequencing" strategy involving circularization of DNA templates.
• Multiple tandem copies of the template are generated using rolling circle polymerase.
• Sequencing of linked copies on high-throughput platforms followed by computational processing to form consensus sequences.

Main Results:

• Achieved error rates as low as 7.6 × 10(-6) per base sequenced on the Illumina MiSeq platform.
• Demonstrated error rates comparable to low-throughput, highly accurate Sanger sequencing.
• Circle sequencing showed higher efficiency and lower cost compared to existing barcode-based error correction methods.

Conclusions:

• Circle sequencing offers a significant advancement in DNA sequencing accuracy for high-throughput applications.
• The method is compatible with existing library preparation workflows and various sequencing platforms.
• Provides a cost-effective and efficient approach to minimize sequencing errors, enhancing data quality.