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Nature MethodsMolecular BiologyPeer-reviewed journal article

Enabling high-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

Søren Michael KarstiD, Ryan M. ZielsiD, Rasmus Hansen KirkegaardiD, Emil Aarre SørenseniD, Daniel T. McDonaldiD, Qiyun ZhuiD, Rob D. KnightiD, Mads AlbertseniD

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 or Pacific Biosciences CCS sequencing, yielding high accuracy single-molecule consensus sequences of large genomic regions. Our approach generates amplicon and genomic sequences of >10,000 bp in length with a mean error-rate of 0.0049-0.0006% and chimera rate <0.022%.

In-depth summary

Claude Opus 5.5 · xhigh effort · 8 Nov 2026 · from the full text of version 3 (11 Jan 2020) · CC BY 4.0

Dual patterned unique molecular identifiers (UMIs) turn Nanopore or PacBio CCS reads of ~4400 bp rRNA operons into single-molecule consensus sequences with 0.0049% (ONT) or 0.0006% (PacBio) mean error.

Illumina amplicons are capped near 500 bp, and the native error of Oxford Nanopore Technologies (ONT, 5-25%) and PacBio (13%) reads has made true UMI tags hard to identify, while earlier UMI use with PacBio circular consensus sequencing (CCS) lacked dual-UMI chimera filtering and consensus error profiling. Here each 18 bp UMI carries a fixed internal pattern that avoids homopolymers, so length and pattern filters recover true tags from raw reads at both molecule ends.

Key results

  1. ShownOn a ZymoBIOMICS mock community, UMI consensus of ~4400 bp rRNA operons exceeded Q40 accuracy on both platforms, with PacBio UMI the most accurate and needing the least read coverage per molecule.

    One shared library: ONT UMI (one MinION R10 flowcell) gave 23,365 consensus sequences at ≥25x, mean 4,381 bp, mean residual error 0.0049%; PB UMI (Sequel II 8M, CCS mode) gave 39,678 at ≥3x, 4,376 bp, 0.0006%; raw PB CCS reads without UMIs gave 135,823 at ≥40x with 0.0080%. Coverage cutoffs were chosen to reach mean error <0.01% (Q40). · Main

  2. ShownDual-UMI filtering nearly eliminated PCR chimeras, and naive phasing of consensus sequences recovered all 43 mock operon variants, with a smaller share of consensus data falling into error-containing or chimeric variants for UMI data than for plain PB CCS.

    Chimera rate 0.017% (ONT UMI) and 0.022% (PB UMI) vs 1.9% for raw PB CCS reads without UMI clustering. All 43 reference variants were found in every data type, with errors only in 2 ONT UMI variants (1 homopolymer error each); consensus data assigned to variants with systematic errors: 1.00%/6.99%/0.18%, to chimeric variants: 0%/0.46%/0% (ONT UMI/PB CCS/PB UMI). · Main; Phasing of consensus sequences and variant…

  3. ShownResidual errors in ONT UMI and PB CCS consensus came largely from homopolymer deletions (mostly in >4 bp C/G runs), plus non-homopolymer G-insertions (the majority for ONT UMI) and random mismatches (PB CCS), and were partly position-specific; PB UMI consensus kept too few errors to reveal a pattern.

    Error types other than homopolymer deletions levelled off above 20x for ONT UMI and PB CCS; deletions sat mostly in >4 bp C/G homopolymers; most ONT UMI residuals were G-insertions outside homopolymers, some recurring in >50% of sequences; PB UMI had 1109 errors in 39678 sequences. Random mismatches (likely PCR errors) were the other main PB CCS error. · Main; Error profiling

  4. ShownIn 70 American Gut Project fecal samples, PB UMI produced 253,089 full-length bacterial rRNA operons, and combining 16S with 23S raised strain- and species-level database assignment over full-length 16S alone.

    BLAST against the Web of Life database (86,200 genomes): 16S alone assigned 11.3% at strain and 38.4% at species level; 16S+23S assigned 22% and 72.2% (chi-squared 124,086, p<2.23e-308). Genus abundances from operon 16S correlated with Earth Microbiome Project 16S V4 data from the same extracts (Spearman r=0.527, Pearson r=0.553; 82 shared genera). · Main; Taxonomic consistency between 16S V4 fragments…; Taxonomic specificity of operons from real…; Figure legends

  5. SuggestedA ligation-based variant, with UMI adapters on sheared genomic DNA instead of a tagging PCR, gave E. coli consensus sequences up to 10,578 bp with error and chimera rates in line with the amplicon results.

    E. coli K-12 MG1655 DNA (mean fragment ~8 kbp), ONT only: 3,658 UMI consensus sequences at ≥30x, mean length 4,476 bp (min 2000, max 10578), mean error 0.009% and chimera rate 0.024%, profiled against the U00096.3 genome. · Main; Data analysis; Figure legends

Methods, data and reproducibility

Tailed primers in 2 PCR cycles (or ligated adapters for genomic DNA) attach an 18 bp patterned UMI to each template end; molecules are then amplified and sequenced on ONT MinION R10 or PacBio Sequel II CCS. A pipeline validates UMI pairs by length and pattern, discards pairs sharing a sub-UMI with a more abundant pair (chimeras), bins reads by UMI and polishes a consensus with racon (plus Medaka for ONT).

  • ZymoBIOMICS Microbial Community DNA Standard (D6306, lot ZRC190811), full-length rRNA operon amplicons sequenced on ONT R10 and PacBio Sequel II · 8 bacteria (e.g. E. coli, B. subtilis); 2 yeasts present but not amplified · n = 23,365 ONT UMI, 39,678 PB UMI, 135,823 PB CCS sequences · PRJEB32674 (ENA project for the study's raw and assembled data)
  • Escherichia coli K-12 MG1655 (DSM 18039) genomic DNA, sheared and UMI-adapter ligated, sequenced on ONT R10 · Escherichia coli · n = 3,658 UMI consensus sequences · U00096.3 (reference genome used for error profiling)
  • American Gut Project fecal samples, full-length rRNA operons sequenced with the PB UMI approach (barcoded libraries, 25 pooled for Sequel II sequencing) · human fecal samples; bacterial rRNA operons sequenced · n = 70 samples; 253,089 operons
  • Earth Microbiome Project 16S V4 Deblur sOTU profiles for the same DNA extracts, retrieved from Qiita with redbiom · human fecal samples; bacterial 16S · n = 70 samples; 82 shared genera
  • Public ONT reads of ZymoBIOMICS Microbial Community Standard (D6300, batch ZRC190633), assembled to build reference rRNA operons · mock microbial community · ERR2887847
  • Public Illumina reads per mock bacterial strain, subsampled to 100x expected coverage to polish reference operons · 8 bacterial strains of the mock community · n = 8 strains · ERR2935848, ERR2935849, ERR2935850, ERR2935851, ERR2935852, ERR2935853, ERR2935854, ERR2935857
  • In-house ONT R10 metagenome of the D6306 mock DNA, used to examine relative abundance and coverage bias · mock microbial community
Methods & tools
Guppy v3.4.4, PacBio CCS v3.4.1, Porechop v0.2.4 (modified), cutadapt v2.7, usearch v11.0.667, bwa v0.7.17, minimap2 v2.17, racon v1.4.3, Medaka v0.11.2, bcftools v1.9, RNAmmer 1.2, BLAST+ 2.7.1 (Web of Life database)
Software & environment
Tool versions are given per step (e.g. Guppy v3.4.4, PacBio CCS v3.4.1, usearch v11.0.667, minimap2 v2.17, racon v1.4.3, Medaka v0.11.2, bcftools v1.9, R v3.6.0); no container or requirements file is described.
Assay conditions & compute
Guppy basecalling ran in GPU mode (cuda:0) and pipeline steps are parallelized with GNU parallel; no hardware model, runtime or memory figures are given.
Reproducibility gaps
Wet-lab protocols are given as protocols.io links under a 'private' path; curated mock references (zymo-ref-uniq_2019-10-28.fa) and barcode demultiplexing are referred to a Resource availability section with no URL in the text; the full data overview is in Supplementary Table 12.
Limitations (6)
  • Homopolymer-linked errors, mainly deletions in C and G runs longer than 4 bp, remain an obstacle to lower error for ONT UMI and PB CCS, and the partly systematic ONT errors bear on calling variants from single-molecule consensus. · stated by the authors
  • Molecule counts could not be turned into reliable relative abundances: fragment-size and growth-dependent coverage biases in the mock skewed operon abundances in all three data types, and a mock with more defined fragment lengths is needed to test quantification. · stated by the authors
  • Observed yields and prices come from single runs with non-optimized template input, which the authors say are not representative and should not be compared directly. · stated by the authors
  • Reference-based chimera detection (uchime2_ref) caught 99.98% of simulated inter-species chimeras but only 11.6% of intra-species ones and produced false positives with contaminants, so flagged sequences had to be curated manually. · stated by the authors
  • Apart from a single ONT-only E. coli genomic library, all error and chimera benchmarks rest on one commercial mock community (8 bacterial species, one shared library), with error rates computed after manual removal of chimeras, contaminants and below-cutoff data; no second mock is tested. · noted in this summary
  • Real-sample results report database assignment rates and correlation with V4 data rather than accuracy against a known truth, and the PCR-free ligation mode was tested on a single E. coli library with no variant calling. · noted in this summary

Read this if you need accurate single-molecule sequences of multi-kilobase amplicons, such as full rRNA operons or targets with rare variants, and are weighing Nanopore UMI, PacBio UMI or plain PacBio CCS workflows.

Citations
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