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    Biotechnology Letters 23: 12051208, 2001.

    2001 Kluwer Academic Publishers. Printed in the Netherlands.1205

    A single band does not always represent single bacterial strains indenaturing gradient gel electrophoresis analysis

    Hiroyuki Sekiguchi1,2

    , Noriko Tomioka1

    , Tadaatsu Nakahara2

    & Hiroo Uchiyama1,

    1National Institute for Environmental Studies, 16-2 Onogawa, Ibaraki 305-8506, Japan2Institute of Applied Biochemistry, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, JapanAuthor for correspondence (Fax: 81-298-50-2576; E-mail: [email protected])

    Received 23 April 2001; Revisions requested 2 May 2001; Revisions received 21 May 2001; Accepted 22 May 2001

    Key words: bias, DGGE, microbial community, PCR, 16S rDNA

    Abstract

    DNA in a denaturing gradient gel electrophoresis (DGGE) band that could not be sequenced after recovery from

    the gel was cloned into a TA cloning vector and a library was constructed and then 13 clones randomly picked up

    from the library was sequenced. Although the excised DNA from the DGGE gel showed a single band, the library

    consisted of several different sequences phylogenetically. This phenomenon was also observed in several other

    DGGE bands. Therefore, this suggests that a single DGGE band does not always represent a single bacterial strain

    and a new bias for quantitative analyses based on band intensities has been identified.

    Introduction

    The structure of the bacterial community in the en-

    vironment has been investigated by culture-dependent

    methods for many years. However, since it is difficult

    to culture most bacteria in samples from the environ-ment (Jannasch & Jones 1959, Amann et al. 1995),

    evaluation of changes in the structure of bacterial com-

    munities using only culturing methods is inadequate.

    Recently, analyses of the structure of bacterial com-

    munities that do not depend on cultivation techniques

    have been carried out (Amann et al. 1995, Head et al.

    1998). As one of the culture-independent methods, de-

    naturing gradient gel electrophoresis (DGGE) analysis

    of the 16S rRNA gene segment has been widely used

    to identify complex microbial communities and to de-

    termine the phylogenetic affiliation of the community

    members (Ferris et al. 1996, Watanabe et al. 2000).

    DGGE was originally developed to detect specific

    mutations within genomic genes due to one base mis-

    match (Myers et al. 1985). Since Muyzer et al. (1993)

    applied this method to environmental microorganisms,

    analyses of microbial communities using DGGE have

    become increasingly popular. DGGE allows the simul-

    taneous analysis of multiple samples and the compar-

    ison of microbial communities based on temporal and

    geographicaldifferences. Furthermore, the method en-

    ables sequence data to be obtained on the DNA of

    dominant species from individual bands. Although

    this tool has many advantages, as mentioned above,

    a few biases derived from PCR and heterogeneity ofcopy number of 16S rDNA among bacterial species

    have been reported (Muyzer 1998, Lionel et al. 2000).

    In this paper, we have identified a new bias associ-

    ated with the co-migration of phylogenetically hetero-

    geneous bands in a DGGE gel and have attempted to

    alleviate this shortcoming in the method.

    Materials and methods

    DNA source, extraction, amplification, and

    purification

    Water sample collected from a river was filtered us-

    ing a 0.2 m pore size filter (25 mm diam. Type

    JG, Millipore, New Bedford, MA) to trap bacter-

    ial cells. Total DNA was extracted from the bacter-

    ial cells on the filter using Fast DNA kit (BIO101,

    Vista, CA). For DGGE analysis, the V3 region of

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    Fig. 1. DGGE analysis showing the profiles of original PCR ampli-

    con (A), purified DNA until a single band was observed by repeating

    DGGE 3 times after excision of the band from the original profile

    (B), and migrations of inserted region in the clones (113). Excised

    DGGE band is indicated by an arrow.

    16S rDNA was amplified by using 357F-GC (5 -C-

    GCCCGCCGCGCGCGGCGGGCGGGGCGGGGGC

    ACGGGGGGCCTACGGGAGGCAGCAG-3) and

    518R (5-GTATTACCGCGGCTGCTGG-3) as PCR

    primers (Muyzer et al. 1993), and a temperature pro-

    gram was implemented with touch down program

    (Muyzer et al. 1993). The amplicon was applied

    to a 2% agarose gel and DNA in a band was ex-

    cised and purified using a DEAE-cellulose membrane

    (DE81, Whatman International Ltd., Maidstone, UK),

    and applied to DGGE. For the control experiment,

    Arthrobacter atrocyaneus ATCC13752T was used as

    standard strain. After cultivation in YG medium, thecells were collected by centrifugation at 4 C, and

    DNA extraction and purification at the following steps

    were performed in the same way as described above.

    Denaturing gradient gel electrophoresis (DGGE)

    DGGE was performed using a D-Code system (Bio-

    Rad Laboratories, Inc., Hercules, CA). Acrylamide

    gel (8%) was prepared and run with 0.5 TAE buffer

    (1 TAE = 0.04 M Tris base, 0.02 M sodium acetate,

    and 10 mM EDTA; pH adjusted to 7.4). DGGE gel

    consisted of a 2070% gradient of urea and formamide

    in the direction of electrophoresis as denaturant, a

    condition common in many studies. The 100% denat-

    urant consisted of 40% (v/v) formamide and 7 M urea.

    DGGE was conducted at a constant voltage of 100 V

    at 60 C for 4 h. The gel was stained with SYBR Gold

    (Molecular Probes, Eugene, OR) and photographed.

    Sequencing of DGGE band

    The band in the DGGE gel was carefully excised

    with a razor blade under UV illumination, and then

    placed in 100 l TE buffer. DNA was extracted from

    the gel piece by overnight incubation at 4 C, and

    then 0.5 l supernatant was used as template DNA

    in the re-amplification by PCR using 357F-GC and

    518R primers. The resulting amplicon was run again

    on DGGE gel to verify its position with the original

    band. This operation was repeated until the band ap-

    peared to be single. Thereafter, PCR using GC-2 (5 -

    GAAGTCATCATGACCGTTCTGGCACGGGGGGC

    CTA-3, Watanabe et al. 1998) and 518R primers was

    performed to obtain a sufficient amount of template

    DNA for sequencing. Thereafter, the amplicon was

    purified with Wizard PCR preps (Promega, Madison,

    WI) and sequenced directly by using BigDye termina-

    tor cycle sequencing kit (Applied biosystems, Foster

    City, CA). When the resultant sequencing failed dueto the presence of many ambiguous peaks, DNA in the

    band was cloned by using TA-cloning kit (Invitrogen,

    Carlsbad, CA), and a clone library was constructed.

    Phylogenetic analysis

    A phylogenetic tree was constructed by the neighbor-

    joining method (Saito & Nei 1987) with the

    CLUSTAL X software packages (Thompson et al.

    1994, Jeanmougin et al. 1998).

    Results and discussion

    In our previous study on bacterial community struc-

    ture by DGGE, unreadable sequences from repeatedly

    purified bands were often observed. To address this

    problem, we constructed a clone library of an un-

    readable band DNA and sequenced 13 clones picked

    randomly from the library. As shown in Figure 1, al-

    though the excised DNA gave a single band (Band B),

    the migrations of the inserted region of the clones on

    DGGE were not the same, and the clone library con-

    sisted of several different sequences phylogenetically.

    Especially for the clones no. 25, 9, 11, 12, and 13,the migrations were almost identical. As for the clones

    no. 1, 68, and 10, the migrations apparently differed

    from those of band B, and also phylogenetically. These

    results suggested that, although the repeatedly purified

    band appeared as a single band, it may include a small

    amount of heterogeneous DNA on DGGE.

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    Fig. 2. Phylogenetic tree showing the relationship of the sequences obtained from the excised band clone library (A) and control experiment

    using Arthrobacter atrocyaneus (B). Shading in tree A indicates phylogenetically independent groups estimated based on the variation of

    shading in tree B. The scale bar represents the percentage of divergence.

    The heterogeneity of the excised single band may

    be ascribed to mis-incorporationor mis-reading during

    the PCR and sequencing steps. To determine whether

    the clone library was artificially heterogeneous due

    to these steps, we performed a control experiment

    and verified the error rate by using the V3 region of

    16S rDNA ofArthrobacter atrocyaneus ATCC13752T

    which had the same region as that described above.

    Amplified V3 region of 16S rDNA of A. atrocya-

    neus was applied to DGGE three times as described

    in Materials and methods, and then a clone library

    was constructed and sequenced. Consequently, among

    11 clones, the sequences from nine clones were com-

    pletely the same as those of the reference sequence

    of A. atrocyaneus recorded in GenBank, and for two

    clones, only one base pair was mismatched in each

    clone (their phylogenetic tree is shown in Figure 2B).

    These results suggested that since mis-incorporation

    or mis-reading rates were very low they could not

    account for the diversity of the clones shown in Fig-

    ure 2A. Based on Figures 2A and 2B, it was consid-

    ered that there would be at least seven groups in thisclone library (no. 26; no. 11; no. 10; no. 12, 13; no. 7;

    no. 1; no. 9; no. 8)

    The heterogeneity was also ascribed to the pres-

    ence of faint bands, which were located very to or

    overlapped the target band. However, with the current

    DGGE method, it is difficult to rule out this possibil-

    ity and a higher resolution DGGE method would need

    to be developed. These results suggested that a sin-

    gle DGGE band does not represent a single bacterial

    strain and that the band which migrated to the same

    position in different lanes may consist of different

    bacteria. Therefore, we considered that a quantitative

    analysis of each band based on the intensity should be

    performed carefully due to the bias identified in this

    study, in addition to the other biases already reported.

    Until now, cloning analysis of 16S rDNA and fluores-

    cence in situ hybridization, in addition to DGGE, had

    also been used to study microbial communities. There-

    fore, it will be important to evaluate the characteristics

    of respective techniques and cross-check the results

    obtained by these approaches to analyze the genuine

    microbial community structure.

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