Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms
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 an...
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Published in | Bioengineering (Basel) Vol. 10; no. 5; p. 520 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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25.04.2023
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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. |
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AbstractList | 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. |
Audience | Academic |
Author | Yan, Gabriel Kong, Kiat Whye Cheng, Clark Lee, Chun Kiat Lau, Lalita Lee, Wai Yip Thomas Koh, Winston Lian Chye Poh, Si En Hoon, Shawn Chan, Tim Hon Man Seow, Yiqi |
AuthorAffiliation | 2 Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore; poh_si_en@imcb.a-star.edu.sg (S.E.P.); kongkw@imcb.a-star.edu.sg (K.W.K.); lalita_lau@imcb.a-star.edu.sg (L.L.) 7 Genome Institute of Singapore, ASTAR (Agency for Science, Technology and Research), Singapore 138672, Singapore 3 Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore; chun_kiat_lee@nuhs.edu.sg (C.K.L.); hon_man_chan@nuhs.edu.sg (T.H.M.C.) 4 Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; gabriel_zherong_yan@nuhs.edu.sg 5 Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore 6 Paths Diagnostics Pte Limited, Singapore 349317, Singapore 1 Bioinformatic Institute, ASTAR (Agency for Science, Technology and Research), Singapore 138632, Singapore; winston_koh@bii.a-star.edu.sg |
AuthorAffiliation_xml | – name: 1 Bioinformatic Institute, ASTAR (Agency for Science, Technology and Research), Singapore 138632, Singapore; winston_koh@bii.a-star.edu.sg – name: 5 Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore – name: 6 Paths Diagnostics Pte Limited, Singapore 349317, Singapore – name: 7 Genome Institute of Singapore, ASTAR (Agency for Science, Technology and Research), Singapore 138672, Singapore – name: 3 Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore; chun_kiat_lee@nuhs.edu.sg (C.K.L.); hon_man_chan@nuhs.edu.sg (T.H.M.C.) – name: 2 Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore; poh_si_en@imcb.a-star.edu.sg (S.E.P.); kongkw@imcb.a-star.edu.sg (K.W.K.); lalita_lau@imcb.a-star.edu.sg (L.L.) – name: 4 Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; gabriel_zherong_yan@nuhs.edu.sg |
Author_xml | – sequence: 1 givenname: Winston Lian Chye surname: Koh fullname: Koh, Winston Lian Chye organization: Bioinformatic Institute, ASTAR (Agency for Science, Technology and Research), Singapore 138632, Singapore – sequence: 2 givenname: Si En orcidid: 0000-0003-4990-4820 surname: Poh fullname: Poh, Si En organization: Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore – sequence: 3 givenname: Chun Kiat orcidid: 0000-0002-6065-0000 surname: Lee fullname: Lee, Chun Kiat organization: Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore – sequence: 4 givenname: Tim Hon Man surname: Chan fullname: Chan, Tim Hon Man organization: Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore – sequence: 5 givenname: Gabriel surname: Yan fullname: Yan, Gabriel organization: Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore – sequence: 6 givenname: Kiat Whye orcidid: 0009-0007-5018-2016 surname: Kong fullname: Kong, Kiat Whye organization: Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore – sequence: 7 givenname: Lalita surname: Lau fullname: Lau, Lalita organization: Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore – sequence: 8 givenname: Wai Yip Thomas surname: Lee fullname: Lee, Wai Yip Thomas organization: Paths Diagnostics Pte Limited, Singapore 349317, Singapore – sequence: 9 givenname: Clark surname: Cheng fullname: Cheng, Clark organization: Paths Diagnostics Pte Limited, Singapore 349317, Singapore – sequence: 10 givenname: Shawn surname: Hoon fullname: Hoon, Shawn organization: Institute of Molecular and Cell Biology, ASTAR (Agency for Science, Technology and Research), Singapore 138673, Singapore – sequence: 11 givenname: Yiqi orcidid: 0000-0001-7040-3006 surname: Seow fullname: Seow, Yiqi organization: Genome Institute of Singapore, ASTAR (Agency for Science, Technology and Research), Singapore 138672, Singapore |
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Snippet | Unbiased metagenomic sequencing is conceptually well-suited for first-line diagnosis as all known and unknown infectious entities can be detected, but costs,... |
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SubjectTerms | Bioengineering Data analysis Dengue fever Deoxyribonucleic acid Diagnostic systems DNA DNA sequencing DNA/RNA library preparation Gene sequencing Genomes host depletion infectious disease Infectious diseases liquid biopsy metagenomic sequencing Metagenomics Methods Next-generation sequencing Nucleotide sequencing Pathogens Plasma Platforms Ribonucleic acid RNA Severe acute respiratory syndrome coronavirus 2 Tropical diseases Workflow |
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Title | Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms |
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