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Reliable multiplex sequencing with rare index mis-assignment on DNB-based NGS platform

  • Qiaoling Li
  • , Xia Zhao
  • , Wenwei Zhang
  • , Lin Wang
  • , Jingjing Wang
  • , Dongyang Xu
  • , Zhiying Mei
  • , Qiang Liu
  • , Shiyi Du
  • , Zhanqing Li
  • , Xinming Liang
  • , Xiaman Wang
  • , Hanmin Wei
  • , Pengjuan Liu
  • , Jing Zou
  • , Hanjie Shen
  • , Ao Chen
  • , Snezana Drmanac
  • , Jia Sophie Liu
  • , Li Li
  • Hui Jiang, Yongwei Zhang, Jian Wang, Huanming Yang, Xun Xu, Radoje Drmanac, Yuan Jiang
  • BGI-Shenzhen
  • Guangdong High-throughput Sequencing Research Center
  • Complete Genomics
  • Zhejiang University

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Background: Massively-parallel-sequencing, coupled with sample multiplexing, has made genetic tests broadly affordable. However, intractable index mis-assignments (commonly exceeds 1%) were repeatedly reported on some widely used sequencing platforms. Results: Here, we investigated this quality issue on BGI sequencers using three library preparation methods: whole genome sequencing (WGS) with PCR, PCR-free WGS, and two-step targeted PCR. BGI's sequencers utilize a unique DNA nanoball (DNB) technology which uses rolling circle replication for DNA-nanoball preparation; this linear amplification is PCR free and can avoid error accumulation. We demonstrated that single index mis-assignment from free indexed oligos occurs at a rate of one in 36 million reads, suggesting virtually no index hopping during DNB creation and arraying. Furthermore, the DNB-based NGS libraries have achieved an unprecedentedly low sample-to-sample mis-assignment rate of 0.0001 to 0.0004% under recommended procedures. Conclusions: Single indexing with DNB technology provides a simple but effective method for sensitive genetic assays with large sample numbers.

Original languageEnglish
Article number215
JournalBMC Genomics
Volume20
Issue number1
DOIs
StatePublished - 13 Mar 2019
Externally publishedYes

Keywords

  • DNA nanoball technology
  • Multiplex sequencing
  • NGS
  • Rare index mis-assignment

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