Literature DB >> 11682530

Burden of unidentifiable mycobacteria in a reference laboratory.

E Tortoli1, A Bartoloni, E C Böttger, S Emler, C Garzelli, E Magliano, A Mantella, N Rastogi, L Rindi, C Scarparo, P Urbano.   

Abstract

Modern identification techniques at the genomic level have greatly improved the taxonomic knowledge of mycobacteria. In adjunct to nucleic acid sequences, mycobacterial identification has been endorsed by investigation of the lipidic patterns of unique mycolic acids in such organisms. In the present investigation, the routine use of high-performance liquid chromatography (HPLC) of mycolic acids, followed by the sequencing of the 16S rRNA, allowed us to select 72 mycobacterial strains, out of 1,035 screened, that do not belong to any of the officially recognized mycobacterial species. Most strains (i.e., 47) were isolated from humans, 13 were from the environment, 3 were from animals, and 9 were from unknown sources. The majority of human isolates were grown from the respiratory tract and were therefore most likely not clinically significant. Some, however, were isolated from sterile sites (blood, pleural biopsy, central venous catheter, or pus). Many isolates, including several clusters of two or more strains, mostly slow growers and scotochromogenic, presented unique genetic and lipidic features. We hope the data reported here, including the results of major conventional identification tests, the HPLC profiles of strains isolated several times, and the whole sequences of the 16S rRNA hypervariable regions of all 72 mycobacteria, may encourage reporting of new cases. The taxonomy of the genus Mycobacterium is, in our opinion, still far from being fully elucidated, and the reporting of unusual strains provides the best background for the recognition of new species. Our report also shows the usefulness of the integration of novel technology to routine diagnosis, especially in cases involving slow-growing microorganisms such as mycobacteria.

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Year:  2001        PMID: 11682530      PMCID: PMC88487          DOI: 10.1128/JCM.39.11.4058-4065.2001

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  12 in total

1.  Anonymous mycobacteria in pulmonary disease.

Authors:  E H RUNYON
Journal:  Med Clin North Am       Date:  1959-01       Impact factor: 5.456

2.  The division between fast- and slow-growing species corresponds to natural relationships among the mycobacteria.

Authors:  D A Stahl; J W Urbance
Journal:  J Bacteriol       Date:  1990-01       Impact factor: 3.490

3.  Genotypic identification of mycobacteria by nucleic acid sequence determination: report of a 2-year experience in a clinical laboratory.

Authors:  P Kirschner; B Springer; U Vogel; A Meier; A Wrede; M Kiekenbeck; F C Bange; E C Böttger
Journal:  J Clin Microbiol       Date:  1993-11       Impact factor: 5.948

4.  Two-laboratory collaborative study on identification of mycobacteria: molecular versus phenotypic methods.

Authors:  B Springer; L Stockman; K Teschner; G D Roberts; E C Böttger
Journal:  J Clin Microbiol       Date:  1996-02       Impact factor: 5.948

5.  Mycobacterium tusciae sp. nov.

Authors:  E Tortoli; R M Kroppenstedt; A Bartoloni; G Caroli; I Jan; J Pawlowski; S Emler
Journal:  Int J Syst Bacteriol       Date:  1999-10

6.  Novel diagnostic algorithm for identification of mycobacteria using genus-specific amplification of the 16S-23S rRNA gene spacer and restriction endonucleases.

Authors:  A Roth; U Reischl; A Streubel; L Naumann; R M Kroppenstedt; M Habicht; M Fischer; H Mauch
Journal:  J Clin Microbiol       Date:  2000-03       Impact factor: 5.948

7.  Gas-chromatographic analysis of mycolic acid cleavage products in mycobacteria.

Authors:  G O Guerrant; M A Lambert; C W Moss
Journal:  J Clin Microbiol       Date:  1981-05       Impact factor: 5.948

8.  Identification of Mycobacterium avium complex strains and some similar species by high-performance liquid chromatography.

Authors:  W R Butler; L Thibert; J O Kilburn
Journal:  J Clin Microbiol       Date:  1992-10       Impact factor: 5.948

9.  Semantide- and chemotaxonomy-based analyses of some problematic phenotypic clusters of slowly growing mycobacteria, a cooperative study of the International Working Group on Mycobacterial Taxonomy.

Authors:  L G Wayne; R C Good; E C Böttger; R Butler; M Dorsch; T Ezaki; W Gross; V Jonas; J Kilburn; P Kirschner; M I Krichevsky; M Ridell; T M Shinnick; B Springer; E Stackebrandt; I Tarnok; Z Tarnok; H Tasaka; V Vincent; N G Warren; C A Knott; R Johnson
Journal:  Int J Syst Bacteriol       Date:  1996-01

10.  Mycolic acid patterns of some species of Mycobacterium.

Authors:  D E Minnikin; S M Minnikin; J H Parlett; M Goodfellow; M Magnusson
Journal:  Arch Microbiol       Date:  1984-10       Impact factor: 2.552

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Authors:  Victoria J Cook; Christine Y Turenne; Joyce Wolfe; Ryan Pauls; Amin Kabani
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Authors:  Leslie Hall; Kelly A Doerr; Sherri L Wohlfiel; Glenn D Roberts
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Journal:  Appl Environ Microbiol       Date:  2002-11       Impact factor: 4.792

Review 4.  Impact of 16S rRNA gene sequence analysis for identification of bacteria on clinical microbiology and infectious diseases.

Authors:  Jill E Clarridge
Journal:  Clin Microbiol Rev       Date:  2004-10       Impact factor: 26.132

Review 5.  Sequence-based identification of new bacteria: a proposition for creation of an orphan bacterium repository.

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6.  Evaluation of the GenoType Mycobacterium Assay for identification of mycobacterial species from cultures.

Authors:  Elvira Richter; Sabine Rüsch-Gerdes; Doris Hillemann
Journal:  J Clin Microbiol       Date:  2006-05       Impact factor: 5.948

7.  Detection and genotyping of Mycobacterium species from clinical isolates and specimens by oligonucleotide array.

Authors:  Heekyung Park; Hyunjung Jang; Eunsil Song; Chulhun L Chang; Minki Lee; Seokhoon Jeong; Junhyung Park; Byeongchul Kang; Cheolmin Kim
Journal:  J Clin Microbiol       Date:  2005-04       Impact factor: 5.948

8.  The rebirth of culture in microbiology through the example of culturomics to study human gut microbiota.

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9.  Identification of Mycobacterium species by secA1 sequences.

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Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

10.  rpoB-based identification of nonpigmented and late-pigmenting rapidly growing mycobacteria.

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Journal:  J Clin Microbiol       Date:  2003-12       Impact factor: 5.948

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