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Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data

Chin, Chen-Shan, Alexander, David H, Marks, Patrick, Klammer, Aaron A, Drake, James, Heiner, Cheryl, Clum, Alicia, Copeland, Alex, Huddleston, John, Eichler, Evan E, Turner, Stephen W, Korlach, Jonas·2013·Nature Methods

Abstract

We present a hierarchical genome-assembly process (HGAP) for high-quality de novo microbial genome assemblies using only a single, long-insert shotgun DNA library in conjunction with Single Molecule, Real-Time (SMRT) DNA sequencing. Our method uses the longest reads as seeds to recruit all other reads for construction of highly accurate preassembled reads through a directed acyclic graph-based consensus procedure, which we follow with assembly using off-the-shelf long-read assemblers. In contrast to hybrid approaches, HGAP does not require highly accurate raw reads for error correction. We demonstrate efficient genome assembly for several microorganisms using as few as three SMRT Cell zero-mode waveguide arrays of sequencing and for BACs using just one SMRT Cell. Long repeat regions can be successfully resolved with this workflow. We also describe a consensus algorithm that incorporates SMRT sequencing primary quality values to produce de novo genome sequence exceeding 99.999% accuracy.

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Crossref · 10.1038/nmeth.2474

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Research works printed but not linked: 42

  1. Medini, D. et al. Microbiology in the post-genomic era. Nat. Rev. Microbiol. 6, 419–430 (2008). · DOI
  2. Parkhill, J. & Wren, B.W. Bacterial epidemiology and biology—lessons from genome sequencing. Genome Biol. 12, 230 (2011). · DOI
  3. Gagarinova, A. & Emili, A. Genome-scale genetic manipulation methods for exploring bacterial molecular biology. Mol. Biosyst. 8, 1626–1638 (2012)10.1039/C2MB25040C . · DOI
  4. Loman, N.J. et al. High-throughput bacterial genome sequencing: an embarrassment of choice, a world of opportunity. Nat. Rev. Microbiol. 10, 599–606 (2012). · DOI
  5. Ricker, N., Qian, H. & Fulthorpe, R.R. The limitations of draft assemblies for understanding prokaryotic adaptation and evolution. Genomics 100, 167–175 (2012)10.1016/j.ygeno.2012.06.009. · DOI
  6. Siguier, P., Filée, J. & Chandler, M. Insertion sequences in prokaryotic genomes. Curr. Opin. Microbiol. 9, 526–531 (2006). · DOI
  7. Srikhanta, Y.N., Fox, K.L. & Jennings, M.P. The phasevarion: phase variation of type III DNA methyltransferases controls coordinated switching in multiple genes. Nat. Rev. Microbiol. 8, 196–206 (2010)10.1038/nrmicro2283. · DOI
  8. Toussaint, A. & Chandler, M. Prokaryote genome fluidity: toward a system approach of the mobilome. Methods Mol. Biol. 804, 57–80 (2012)10.1007/978-1-61779-361-5_4. · DOI
  9. Kingsford, C., Schatz, M.C. & Pop, M. Assembly complexity of prokaryotic genomes using short reads. BMC Bioinformatics 11, 21 (2010). · DOI
  10. Salzberg, S.L. et al. GAGE: a critical evaluation of genome assemblies and assembly algorithms. Genome Res. 22, 557–567 (2012). · DOI
  11. Fraser, C.M., Eisen, J.A., Nelson, K.E., Paulsen, I.T. & Salzberg, S.L. The value of complete microbial genome sequencing (you get what you pay for). J. Bacteriol. 184, 6403–6405 (2002). · DOI
  12. English, A.C. et al. Mind the gap: upgrading genomes with Pacific Biosciences RS long-read sequencing technology. PLoS ONE 7, e47768 (2012)10.1371/journal.pone.0047768. · DOI
  13. Rasko, D.A. et al. Origins of the E. coli strain causing an outbreak of hemolytic-uremic syndrome in Germany. N. Engl. J. Med. 365, 709–717 (2011). · DOI
  14. Bashir, A. et al. A hybrid approach for the automated finishing of bacterial genomes. Nat. Biotechnol. 30, 701–707 (2012). · DOI
  15. Koren, S. et al. Hybrid error correction and de novo assembly of single-molecule sequencing reads. Nat. Biotechnol. 30, 693–700 (2012). · DOI
  16. Ribeiro, F.J. et al. Finished bacterial genomes from shotgun sequence data. Genome Res. 22, 2270–2277 (2012). · DOI
  17. Sommer, D.D., Delcher, A.L., Salzberg, S.L. & Pop, M. Minimus: a fast, lightweight genome assembler. BMC Bioinformatics 8, 64 (2007). · DOI
  18. Treangen, T.J., Sommer, D.D., Angly, F.E., Koren, S. & Pop, M. Next generation sequence assembly with AMOS. Curr. Protoc. Bioinformatics 33, 11.8 (2011)10.1002/0471250953.bi1108s33. · DOI
  19. Blattner, F.R. et al. The complete genome sequence of Escherichia coli K-12. Science 277, 1453–1462 (1997). · DOI
  20. Kurtz, S. et al. Versatile and open software for comparing large genomes. Genome Biol. 5, R12 (2004). · DOI · Paper page
  21. Tindall, B.J. et al. Complete genome sequence of Meiothermus ruber type strain (21T). Stand. Genomic Sci. 3, 26–36 (2010)10.4056/sigs.1032748. · DOI
  22. Han, C. et al. Complete genome sequence of Pedobacter heparinus type strain (HIM 762-3T). Stand. Genomic Sci. 1, 54–62 (2009)10.4056/sigs.22138. · DOI
  23. Ariyadasa, R. & Stein, N. Advances in BAC-based physical mapping and map integration strategies in plants. J. Biomed. Biotechnol. 2012, 184854 (2012)10.1155/2012/184854. · DOI
  24. Liu, G.E., Alkan, C., Jiang, L., Zhao, S. & Eichler, E.E. Comparative analysis of Alu repeats in primate genomes. Genome Res. 19, 876–885 (2009). · DOI
  25. Travers, K.J., Chin, C.S., Rank, D.R., Eid, J.S. & Turner, S.W. A flexible and efficient template format for circular consensus sequencing and SNP detection. Nucleic Acids Res. 38, e159 (2010). · DOI
  26. Ewing, B., Hillier, L., Wendl, M.C. & Green, P. Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome Res. 8, 175–185 (1998). · DOI
  27. Rieder, M.J., Taylor, S.L., Tobe, V.O. & Nickerson, D.A. Automating the identification of DNA variations using quality-based fluorescence re-sequencing: analysis of the human mitochondrial genome. Nucleic Acids Res. 26, 967–973 (1998). · DOI
  28. Loomis, E.W. et al. Sequencing the unsequenceable: expanded CGG-repeat alleles of the fragile X gene. Genome Res. 23, 121–128 (2013)10.1101/gr.141705.112. · DOI
  29. Zhang, X. et al. Improving genome assemblies by sequencing PCR products with PacBio. Biotechniques 53, 61–62 (2012)10.2144/0000113891. · DOI
  30. Carneiro, M.O. et al. Pacific Biosciences sequencing technology for genotyping and variation discovery in human data. BMC Genomics 13, 375 (2012)10.1186/1471-2164-13-375. · DOI
  31. Chain, P.S.G. et al. Genome project standards in a new era of sequencing. Science 326, 236–237 (2009). · DOI · Paper page
  32. Murray, I.A. et al. The methylomes of six bacteria. Nucleic Acids Res. 40, 11450–11462 (2012). · DOI
  33. Krumsiek, J., Arnold, R. & Rattei, T. Gepard: a rapid and sensitive tool for creating dotplots on genome scale. Bioinformatics 23, 1026–1028 (2007)10.1093/bioinformatics/btm039. · DOI
  34. Chaisson, M.J. & Tesler, G. Mapping single molecule sequencing reads using basic local alignment with successive refinement (BLASR): application and theory. BMC Bioinformatics 13, 238 (2012)10.1186/1471-2105-13-238. · DOI
  35. Lee, C., Grasso, C. & Sharlow, M.F. Multiple sequence alignment using partial order graphs. Bioinformatics 18, 452–464 (2002). · DOI
  36. Edgar, R.C. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004). · DOI · Paper page
  37. Rausch, T. et al. A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads. Bioinformatics 25, 1118–1124 (2009)10.1093/bioinformatics/btp131. · DOI
  38. Huang, X. An improved sequence assembly program. Genomics 33, 21–31 (1996). · DOI
  39. Kelley, D.R., Schatz, M.C. & Salzberg, S.L. Quake: quality-aware detection and correction of sequencing errors. Genome Biol. 11, R116 (2010). · DOI
  40. Myers, E.W. et al. A whole-genome assembly of Drosophila. Science 287, 2196–2204 (2000). · DOI
  41. Eid, J. et al. Real-time DNA sequencing from single polymerase molecules. Science 323, 133–138 (2009). · DOI · Paper page
  42. Korlach, J. et al. Real-time DNA sequencing from single polymerase molecules. Methods Enzymol. 472, 431–455 (2010). · DOI

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Metadata

Authors
Chin, C.-S., Alexander, D. H., Marks, P., Klammer, A. A., Drake, J., Heiner, C., Clum, A., Copeland, A., Huddleston, J., Eichler, E. E., Turner, S. W., & Korlach, J.
Venue
Nature Methods
Published
2013-05-05
Volume
10
Issue
6
Pages
563-569
ISSN
  • 1548-7091
  • 1548-7105
Cited by
4,029
References
2
Language
en

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