Reducing amplification artifacts in high multiplex amplicon sequencing by using molecular barcodes

• Published in: BMC genomics Vol. 16; no. 1; p. 589
• Main Authors: Peng, Quan, Vijaya Satya, Ravi, Lewis, Marcus, Randad, Pranay, Wang, Yexun
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07-08-2015; BioMed Central
• Subjects: DNA Barcoding, Taxonomic - methods; DNA Primers - genetics; Genomics; High-Throughput Nucleotide Sequencing - methods; Humans; Methodology; Multiplex Polymerase Chain Reaction - methods; Reproducibility of Results; RNA - genetics; Sequence Analysis - methods
• ISSN: 1471-2164; 1471-2164
• DOI: 10.1186/s12864-015-1806-8

PCR amplicon sequencing has been widely used as a targeted approach for both DNA and RNA sequence analysis. High multiplex PCR has further enabled the enrichment of hundreds of amplicons in one simple reaction. At the same time, the performance of PCR amplicon sequencing can be negatively affected by issues such as high duplicate reads, polymerase artifacts and PCR amplification bias. Recently researchers have made some good progress in addressing these shortcomings by incorporating molecular barcodes into PCR primer design. So far, most work has been demonstrated using one to a few pairs of primers, which limits the size of the region one can analyze.
We developed a simple protocol, which enables the use of molecular barcodes in high multiplex PCR with hundreds of amplicons. Using this protocol and reference materials, we demonstrated the applications in accurate variant calling at very low fraction over a large region and in targeted RNA quantification. We also evaluated the protocol's utility in profiling FFPE samples.
We demonstrated the successful implementation of molecular barcodes in high multiplex PCR, with multiplex scale many times higher than earlier work. We showed that the new protocol combines the benefits of both high multiplex PCR and molecular barcodes, i.e. the analysis of a very large region, low DNA input requirement, very good reproducibility and the ability to detect as low as 1% mutations with minimal false positives (FP).