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Reply to Schmitt et al.: Data-filtering schemes for avoiding double-counting in circle sequencing

Jeffrey A. Hussmann, Dianne I. Lou, Sara L. Sawyer, and William H. Press
  1. Department of Molecular Biosciences, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712

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PNAS April 22, 2014 111 (16) E1561; first published March 20, 2014; https://doi.org/10.1073/pnas.1402606111
Jeffrey A. Hussmann
Department of Molecular Biosciences, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712
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Dianne I. Lou
Department of Molecular Biosciences, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712
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Sara L. Sawyer
Department of Molecular Biosciences, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712
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William H. Press
Department of Molecular Biosciences, Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX 78712
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  • For correspondence: wpress@cs.utexas.edu
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Schmitt et al. (1) raise the concern that circle sequencing (2) may spuriously count information from the same starting molecule multiple times. There are indeed several mechanisms by which multiple final reads produced by the circle-sequencing process could be derived from the same starting molecule, as discussed briefly in the last paragraph of our Results section (2). As Schmitt et al. (1) point out, the extent to which this occurs in practice can be bounded by using the fact that the ends of reads derived from the same starting molecule will be mapped to the exact same coordinates of a reference genome. An upper bound on the number of duplicate reads in a given experiment can therefore be produced by counting the number of such identical “shear points.” In fact, our statement that “greater than 98.8% of the consensus sequences produced in each dataset were derived from unique circular templates” (2) was based on the exact shear-point filtering analysis suggested in Schmitt et al.’s letter (1).

In the case of duplicated reads produced by the third mechanism suggested by Schmitt et al. (1), there is actually an additional informatic check that can be done. The two potential raw sequences produced by Y-adapter–directed amplification of a double-stranded sheared rolling-circle amplification product will begin at the same circular shift into the original fragment sequence. The value of this shift can be therefore be used as an additional “endogenous tag” (3) to detect duplication produced by this mechanism or by any subsequent amplification.

We agree with Schmitt et al.’s (1) observation that if a depth of sequencing is desired that would saturate the ability of endogenous tags to distinguish original molecules, our method could be modified to incorporate labeling of starting molecules with exogenous sequences. The use of distinguishable sequences tags to eliminate unwanted duplication of information introduced by amplification is itself a rich area of research (4, 5) and would be an exciting direction for further development of circle sequencing.

Footnotes

  • ↵1To whom correspondence should be addressed. E-mail: wpress{at}cs.utexas.edu.
  • Author contributions: J.A.H., D.I.L., S.L.S., and W.H.P. analyzed data and wrote the paper.

  • The authors declare no conflict of interest.

References

  1. ↵
    1. Schmitt MW,
    2. Fox EJ,
    3. Salk JJ
    (2014) Risks of double-counting in deep sequencing. Proc Natl Acad Sci USA 111:E1560.
    OpenUrlFREE Full Text
  2. ↵
    1. Lou DI,
    2. et al.
    (2013) High-throughput DNA sequencing errors are reduced by orders of magnitude using circle sequencing. Proc Natl Acad Sci USA 110(49):19872–19877.
    OpenUrlAbstract/FREE Full Text
  3. ↵
    1. Kinde I,
    2. Wu J,
    3. Papadopoulos N,
    4. Kinzler KW,
    5. Vogelstein B
    (2011) Detection and quantification of rare mutations with massively parallel sequencing. Proc Natl Acad Sci USA 108(23):9530–9535.
    OpenUrlAbstract/FREE Full Text
  4. ↵
    1. Shiroguchi K,
    2. Jia TZ,
    3. Sims PA,
    4. Xie XS
    (2012) Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes. Proc Natl Acad Sci USA 109(4):1347–1352.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Fu GK,
    2. et al.
    (2014) Molecular indexing enables quantitative targeted RNA sequencing and reveals poor efficiencies in standard library preparations. Proc Natl Acad Sci USA 111(5):1891–1896.
    OpenUrlAbstract/FREE Full Text
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Data-filtering schemes for circle sequencing
Jeffrey A. Hussmann, Dianne I. Lou, Sara L. Sawyer, William H. Press
Proceedings of the National Academy of Sciences Apr 2014, 111 (16) E1561; DOI: 10.1073/pnas.1402606111

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Data-filtering schemes for circle sequencing
Jeffrey A. Hussmann, Dianne I. Lou, Sara L. Sawyer, William H. Press
Proceedings of the National Academy of Sciences Apr 2014, 111 (16) E1561; DOI: 10.1073/pnas.1402606111
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