Evidence map›Paper›PMID 33432244›Full record

ArticleNature methods2021

High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing.

Søren M Karst, Ryan M Ziels, Rasmus H Kirkegaard, Emil A Sørensen, Daniel McDonald, Qiyun Zhu, Rob Knight, Mads Albertsen

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
226citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

226 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Systematic Review: Long-Read Sequencing in Algal Studies.International journal of molecular sciences · 2026
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Molecular therapy. Nucleic acids · 2026
    Article
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  7. Article
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  9. Article
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  14. Biosensing With Nanofluidics.Exploration (Beijing, China) · 2026
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

166 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Søren M Karst *Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0233-160X
Ryan M Ziels *Department of Civil Engineering, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0003-3705-6078
Rasmus H KirkegaardCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0003-3349-3617
Emil A SørensenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0853-992X
Daniel McDonaldDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0003-0876-9060
Qiyun ZhuDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-3568-6271
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Mads AlbertsenCenter for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark. ma@bio.aau.dk.ORCID http://orcid.org/0000-0002-6151-190X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput amplicon sequencing of large genomic regions remains challenging for short-read technologies. Here, we report a high-throughput amplicon sequencing approach combining unique molecular identifiers (UMIs) with Oxford Nanopore Technologies (ONT) or Pacific Biosciences circular consensus sequencing, yielding high-accuracy single-molecule consensus sequences of large genomic regions. We applied our approach to sequence ribosomal RNA operon amplicons (~4,500 bp) and genomic sequences (>10,000 bp) of reference microbial communities in which we observed a chimera rate <0.02%. To reach a mean UMI consensus error rate <0.01%, a UMI read coverage of 15× (ONT R10.3), 25× (ONT R9.4.1) and 3× (Pacific Biosciences circular consensus sequencing) is needed, which provides a mean error rate of 0.0042%, 0.0041% and 0.0007%, respectively.

Indexed as

MicrobiotaNanoporesHigh-Throughput Nucleotide SequencingWorkflow

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.