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Methods

Comparison of Normalization Methods for Construction of Large, Multiplex Amplicon Pools for Next-Generation Sequencing

J. Kirk Harris, Jason W. Sahl, Todd A. Castoe, Brandie D. Wagner, David D. Pollock, John R. Spear
J. Kirk Harris
1Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado 80045
5Consortium for Comparative Genomics, University of Colorado Denver, Aurora, Colorado 80045
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  • For correspondence: jonathan.harris@ucdenver.edu
Jason W. Sahl
2Department of Environmental Science and Engineering, Colorado School of Mines, Golden, Colorado 80401
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Todd A. Castoe
3Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado 80045
5Consortium for Comparative Genomics, University of Colorado Denver, Aurora, Colorado 80045
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Brandie D. Wagner
4Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, University of Colorado Denver, Aurora, Colorado 80045
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David D. Pollock
3Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, Colorado 80045
5Consortium for Comparative Genomics, University of Colorado Denver, Aurora, Colorado 80045
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John R. Spear
2Department of Environmental Science and Engineering, Colorado School of Mines, Golden, Colorado 80401
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DOI: 10.1128/AEM.02585-09
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  • FIG. 1.
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    FIG. 1.

    Schematic of normalization methods. PCR amplicons were generated for 144 different bar codes and processed for normalization and pooling by the three methods shown schematically. The three methods were direct quantification (NanoDrop), size-restricted DNA quantification (Qiagen), and (iii) quantitative DNA binding (SequalPrep kit; Invitrogen). A single pool of PCR product was split and processed by the three normalization methods. Individual amplicons were purified with the Ampure magnetic bead purification kit prior to determination of DNA concentration. †, the Qiagen pool was purified with the same kit prior to sequencing. ‡, the Invitrogen pool was concentrated using the Zymo DNA Clean & Concentrator kit prior to sequencing. Spec., specimen.

  • FIG. 2.
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    FIG. 2.

    Coefficient of variation from triplicate samples by the three methods. The three methods were direct quantification (NanoDrop), size-restricted DNA quantification (Qiagen), and (iii) quantitative DNA binding (Invitrogen). The coefficient of variation calculated from sequence counts for samples amplified with three independent bar codes (n = 44) were calculated to show how well the sequence counts agreed. A lower CV represents tighter clustering of the counts.

Tables

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  • TABLE 1.

    Counting statistics for each amplicon pool

    Counting statisticValue for pool constructed by methoda:
    InvitrogenNanoDropQiagen
    No. of sequences
        Total52,89629,35339,372
        Minimum195021
        Maximum6295531,584
        Avg367.3203.8273.4
        SD79.8107.9206.7
    Maximum/minimum ratio3.2>553b75.4
    Failure rate (%)2.143.862.5
    • ↵ a Three methods were used to construct the amplicon pools: (i) direct quantification (NanoDrop 1000; NanoDrop), (ii) size-restricted DNA quantification (QIAxcel; Qiagen), and (iii) quantitative DNA binding (SequalPrep kit; Invitrogen).

    • ↵ b The minimum was set at 1 for the purpose of this calculation.

  • TABLE 2.

    Processing time for each step of pool construction

    Embedded Image
    • a Primer removal was performed on a single aliquot of the pooled amplicons by the same procedure used for the individual amplicons in the NanoDrop pool.

    • b This represents manual adjustment of the output for each sample. Software modification would shorten this time significantly.

  • TABLE 3.

    Microbial richness estimation for each DNA sample

    DNA sampleSanger sequencing% Chao estimate observed (Sanger/ pyrosequencing)bPyrosequencing
    No. of sequencesNo. of OTUsDiversity estimate using Chao1% Chao estimate observedaNo. of sequencesNo. of OTUsDiversity estimate using Chao1% Chao estimate observedc
    175388843.182.301,7616551,65439.60
    2966928923.883.271,8188732,10741.43
    394174537.780.642,3381,1852,67444.32
    4606418035.564.771,3036161,34245.90
    53736333.510.791.381,9569922,61337.96
    67453139.737.943.092,1207751,71445.22
    792113928.212.592,10919242445.28
    8896027321.982.263,6801,2092,65945.47
    9935521325.821.821,8981,1293,02537.32
    10805827121.402.532,1191,0562,29546.01
    11855314037.861.283,9481,7534,14942.25
    12623614824.321.582,7059012,28039.52
    13736636118.282.211,4599232,99130.86
    1490255545.451.392,3755191,79528.91
    15685417830.342.342,6899602,31241.52
    16815522824.127.713,15032471345.44
    1792215141.1822.935404691.650.22
    1885204841.6713.335058915059.33
    • ↵ a Number of OTUs in Sanger sequencing divided by Sanger Chao1 (percent).

    • ↵ b Number of OTUs in Sanger sequencing divided by pyrosequencing Chao1 (percent).

    • ↵ c Number of OTUs in pyrosequencing divided by pyrosequencing Chao1 (percent).

  • TABLE 4.

    Normalization performance of additional multiplex amplicon pools

    PoolSequencing effortPlexMaximum/minimuma
    1Full plate28816.4
    21/8 plate967.0
    31/8 plate896.1
    41/8 plate492.6
    • ↵ a Maximum number of sequences divided by minimum number of sequences.

Additional Files

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    Files in this Data Supplement:

    • Supplemental file 1 - Sequence counts from each amplicon library analyzed (Table S1).
      PDF file, 28K.
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Comparison of Normalization Methods for Construction of Large, Multiplex Amplicon Pools for Next-Generation Sequencing
J. Kirk Harris, Jason W. Sahl, Todd A. Castoe, Brandie D. Wagner, David D. Pollock, John R. Spear
Applied and Environmental Microbiology Jun 2010, 76 (12) 3863-3868; DOI: 10.1128/AEM.02585-09

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Comparison of Normalization Methods for Construction of Large, Multiplex Amplicon Pools for Next-Generation Sequencing
J. Kirk Harris, Jason W. Sahl, Todd A. Castoe, Brandie D. Wagner, David D. Pollock, John R. Spear
Applied and Environmental Microbiology Jun 2010, 76 (12) 3863-3868; DOI: 10.1128/AEM.02585-09
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KEYWORDS

Gene Library
metagenomics
Sequence Analysis, DNA
Staining and Labeling

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