Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms

Author:

Koh Winston Lian Chye1,Poh Si En2ORCID,Lee Chun Kiat3ORCID,Chan Tim Hon Man3,Yan Gabriel45,Kong Kiat Whye2,Lau Lalita2,Lee Wai Yip Thomas6,Cheng Clark6,Hoon Shawn2,Seow Yiqi27ORCID

Affiliation:

1. Bioinformatic Institute, A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore

2. Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore

3. Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore

4. Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore

5. Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore

6. Paths Diagnostics Pte Limited, Singapore 349317, Singapore

7. Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), Singapore 138672, Singapore

Abstract

Unbiased metagenomic sequencing is conceptually well-suited for first-line diagnosis as all known and unknown infectious entities can be detected, but costs, turnaround time and human background reads in complex biofluids, such as plasma, hinder widespread deployment. Separate preparations of DNA and RNA also increases costs. In this study, we developed a rapid unbiased metagenomics next-generation sequencing (mNGS) workflow with a human background depletion method (HostEL) and a combined DNA/RNA library preparation kit (AmpRE) to address this issue. We enriched and detected bacterial and fungal standards spiked in plasma at physiological levels with low-depth sequencing (<1 million reads) for analytical validation. Clinical validation also showed 93% of plasma samples agreed with the clinical diagnostic test results when the diagnostic qPCR had a Ct < 33. The effect of different sequencing times was evaluated with the 19 h iSeq 100 paired end run, a more clinically palatable simulated iSeq 100 truncated run and the rapid 7 h MiniSeq platform. Our results demonstrate the ability to detect both DNA and RNA pathogens with low-depth sequencing and that iSeq 100 and MiniSeq platforms are compatible with unbiased low-depth metagenomics identification with the HostEL and AmpRE workflow.

Funder

Agency for Science, Technology, and Research

A*STAR spin-off Paths Diagnostics Pte Ltd.

Publisher

MDPI AG

Subject

Bioengineering

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