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Identifying and correcting repeat-calling errors in nanopore sequencing of telomeres

View ORCID ProfileKar-Tong Tan, Michael K. Slevin, Matthew Meyerson, Heng Li
doi: https://doi.org/10.1101/2022.01.11.475254
Kar-Tong Tan
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
2Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
3Department of Genetics, Harvard Medical School, Boston, MA, USA
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  • ORCID record for Kar-Tong Tan
Michael K. Slevin
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
4Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA, USA
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Matthew Meyerson
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
2Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
3Department of Genetics, Harvard Medical School, Boston, MA, USA
4Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA, USA
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  • For correspondence: matthew_meyerson@dfci.harvard.edu hli@jimmy.harvard.edu
Heng Li
5Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
6Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
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  • For correspondence: matthew_meyerson@dfci.harvard.edu hli@jimmy.harvard.edu
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Abstract

Nanopore long-read genome sequencing is emerging as a potential approach for the study of genomes including long repetitive elements like telomeres. Here, we report extensive basecalling induced errors at telomere repeats across nanopore datasets, sequencing platforms, basecallers, and basecalling models. We found that telomeres which are represented by (TTAGGG)n and (CCCTAA)n repeats in many organisms were frequently miscalled (~40-50% of reads) as (TTAAAA)n, or as (CTTCTT)n and (CCCTGG)n repeats respectively in a strand-specific manner during nanopore sequencing. We showed that this miscalling is likely caused by the high similarity of current profiles between telomeric repeats and these repeat artefacts, leading to mis-assignment of electrical current profiles during basecalling. We further demonstrated that tuning of nanopore basecalling models, and selective application of the tuned models to telomeric reads led to improved recovery and analysis of telomeric regions, with little detected negative impact on basecalling of other genomic regions. Our study thus highlights the importance of verifying nanopore basecalls in long, repetitive, and poorly defined regions of the genome, and showcases how such artefacts in regions like telomeres can potentially be resolved by improvements in nanopore basecalling models.

Competing Interest Statement

H.L. is a consultant of Integrated DNA Technologies and on the SAB of Sentieon, Innozeen and BGI. M.M. has a patent for EGFR mutations for lung cancer diagnosis issued, licensed, and with royalties paid from LabCorp and a patent for EGFR inhibitors pending to Bayer; and was a founding advisor of, consultant to, and equity holder in Foundation Medicine, shares of which were sold to Roche.

Footnotes

  • https://github.com/ktan8/nanopore_telomere_basecall

  • Abbreviations

    PacBio
    Pacific Biosciences
    SMRT
    Single Molecule Real Time
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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    Posted January 12, 2022.
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    Identifying and correcting repeat-calling errors in nanopore sequencing of telomeres
    Kar-Tong Tan, Michael K. Slevin, Matthew Meyerson, Heng Li
    bioRxiv 2022.01.11.475254; doi: https://doi.org/10.1101/2022.01.11.475254
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    Identifying and correcting repeat-calling errors in nanopore sequencing of telomeres
    Kar-Tong Tan, Michael K. Slevin, Matthew Meyerson, Heng Li
    bioRxiv 2022.01.11.475254; doi: https://doi.org/10.1101/2022.01.11.475254

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