Literature DB >> 8590690

Intraspecific variation in small-subunit rRNA sequences in GenBank: why single sequences may not adequately represent prokaryotic taxa.

R A Clayton1, G Sutton, P S Hinkle, C Bult, C Fields.   

Abstract

Small-subunit rRNA (SSU rRNA) sequencing is a powerful tool to detect, identify, and classify prokaryotic organisms, and there is currently an explosion of SSU rRNA sequencing in the microbiology community. We report unexpectedly high levels of intraspecific variation (within and between strains) of prokaryote SSU rRNA sequences deposited in GenBank. A total of 82% of the prokaryote species with two published SSU rRNA sequences had more variable positions than a 0.1% random sequencing error would predict, and 48% of these sequence pairs had more variable positions than predicted by a 1.0% random sequencing error. Other sources of sequence variability must account for some of this intraspecific variation. Given these results, phylogenetic studies and biodiversity estimates obtained by using prokaryotic SSU rRNA sequences cannot proceed under the assumption that rRNA sequences of single operons from single isolates adequately represent their taxa. Sequencing SSU rRNA molecules from multiple operons and multiple isolates is highly recommended to obtain meaningful phylogenetic hypotheses, as is careful attention to accurate strain identification.

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Year:  1995        PMID: 8590690     DOI: 10.1099/00207713-45-3-595

Source DB:  PubMed          Journal:  Int J Syst Bacteriol        ISSN: 0020-7713


  72 in total

1.  rrndb: the Ribosomal RNA Operon Copy Number Database.

Authors:  J A Klappenbach; P R Saxman; J R Cole; T M Schmidt
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Use of restriction fragment length polymorphism of the PCR-amplified 16S rRNA gene for the identification of Aeromonas spp.

Authors:  M J Figueras; J Guarro; A Martínez-Murcia
Journal:  J Clin Microbiol       Date:  2000-05       Impact factor: 5.948

3.  rpoB-based microbial community analysis avoids limitations inherent in 16S rRNA gene intraspecies heterogeneity.

Authors:  I Dahllöf; H Baillie; S Kjelleberg
Journal:  Appl Environ Microbiol       Date:  2000-08       Impact factor: 4.792

4.  Species-specific PCR for identification of common contaminant mollicutes in cell culture.

Authors:  F Kong; G James; S Gordon; A Zelynski; G L Gilbert
Journal:  Appl Environ Microbiol       Date:  2001-07       Impact factor: 4.792

5.  Bacterial identification for publication: when is enough enough?

Authors:  J Michael Janda; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2002-06       Impact factor: 5.948

6.  16S ribosomal DNA sequence analysis of a large collection of environmental and clinical unidentifiable bacterial isolates.

Authors:  M Drancourt; C Bollet; A Carlioz; R Martelin; J P Gayral; D Raoult
Journal:  J Clin Microbiol       Date:  2000-10       Impact factor: 5.948

7.  Ribosomal DNA sequencing for identification of aerobic gram-positive rods in the clinical laboratory (an 18-month evaluation).

Authors:  P P Bosshard; S Abels; R Zbinden; E C Böttger; M Altwegg
Journal:  J Clin Microbiol       Date:  2003-09       Impact factor: 5.948

8.  Use of tuf sequences for genus-specific PCR detection and phylogenetic analysis of 28 streptococcal species.

Authors:  François J Picard; Danbing Ke; Dominique K Boudreau; Maurice Boissinot; Ann Huletsky; Dave Richard; Marc Ouellette; Paul H Roy; Michel G Bergeron
Journal:  J Clin Microbiol       Date:  2004-08       Impact factor: 5.948

Review 9.  Prokaryotic diversity in the Antarctic: the tip of the iceberg.

Authors:  B J Tindall
Journal:  Microb Ecol       Date:  2004-04-02       Impact factor: 4.552

10.  Evaluation of the GenBank, EzTaxon, and BIBI services for molecular identification of clinical blood culture isolates that were unidentifiable or misidentified by conventional methods.

Authors:  Kyung Sun Park; Chang-Seok Ki; Cheol-In Kang; Yae-Jean Kim; Doo Ryeon Chung; Kyong Ran Peck; Jae-Hoon Song; Nam Yong Lee
Journal:  J Clin Microbiol       Date:  2012-03-07       Impact factor: 5.948

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