Development of the BIOLOG substrate utilization system for identification of Legionella spp
- PMID: 1781692
- PMCID: PMC183969
- DOI: 10.1128/aem.57.11.3345-3349.1991
Development of the BIOLOG substrate utilization system for identification of Legionella spp
Abstract
The genus Legionella consists of 51 serogroups comprising 34 species. Biochemical reactions and cell wall fatty acid and quinone analyses may confirm that an isolate is a Legionella sp. and indicate to which species it belongs, but DNA hybridization studies have been necessary for a definitive identification. Recently, the commercially available BIOLOG identification system has offered a standardized, easily reproducible system of substrate metabolism by bacteria resuspended in multiwell plates. A tetrazolium dye acts as an electron acceptor during the oxidation of the wide range of substrates and forms an irreversible, highly colored formazan when reduced. The 95 substrate wells are read rapidly with a conventional plate reader, and the results are downloaded for comparison with a computer data base, allowing quick identification. The BIOLOG system's ability to test more diverse classes of substrates, including amino acids, peptides, carboxylic acids, and carbohydrates, was used in this study to establish a new data base and identify the asaccharolytic Legionella spp. In particular, Legionella pneumophila behaved as a microaerophile, and the fastest, most diverse metabolic activities occurred after the development of a low-oxygen incubation environment. Alternatively, bacteria could be successfully incubated in air when their concentration was double that recommended by the manufacturer. Similar results were obtained by using either Page's amoebal saline or distilled water as the resuspending and incubation medium. Type strains did not cross-identify with any of the strains already in the manufacturer's data base. The results indicate that this modified system has value in being able to identify Legionella isolates to the species level.
Similar articles
-
Biochemical fingerprints of Legionella spp. by the BIOLOG system: presumptive identification of clinical and environmental isolates.Lett Appl Microbiol. 1990 Dec;11(6):290-2. doi: 10.1111/j.1472-765x.1990.tb00184.x. Lett Appl Microbiol. 1990. PMID: 1366998
-
A colony based confirmation assay for Legionella and Legionella pneumophila employing the EnviroAmp Legionella system and seroagglutination.Lett Appl Microbiol. 1998 May;26(5):377-81. doi: 10.1046/j.1472-765x.1998.00354.x. Lett Appl Microbiol. 1998. PMID: 9674168
-
Use of partial 16S rRNA gene sequencing for identification of Legionella pneumophila and non-pneumophila Legionella spp.J Clin Microbiol. 2007 Jan;45(1):257-8. doi: 10.1128/JCM.01552-06. Epub 2006 Nov 15. J Clin Microbiol. 2007. PMID: 17108074 Free PMC article.
-
Co-existence of Legionella and other Gram-negative bacteria in potable water from various rural and urban sources.Ann Agric Environ Med. 2011;18(2):330-4. Ann Agric Environ Med. 2011. PMID: 22216808
-
Five new Legionella species isolated from water.Int J Syst Bacteriol. 1993 Apr;43(2):329-37. doi: 10.1099/00207713-43-2-329. Int J Syst Bacteriol. 1993. PMID: 8494743
Cited by
-
Software tools and databases for bacterial systematics and their dissemination via global networks.Antonie Van Leeuwenhoek. 1993-1994;64(3-4):205-29. doi: 10.1007/BF00873083. Antonie Van Leeuwenhoek. 1993. PMID: 8085786 Review.
-
Automated systems for identification of microorganisms.Clin Microbiol Rev. 1992 Jul;5(3):302-27. doi: 10.1128/CMR.5.3.302. Clin Microbiol Rev. 1992. PMID: 1498768 Free PMC article. Review.
-
Poly-3-hydroxybutyrate in Legionella pneumophila, an energy source for survival in low-nutrient environments.Appl Environ Microbiol. 1999 Feb;65(2):822-7. doi: 10.1128/AEM.65.2.822-827.1999. Appl Environ Microbiol. 1999. PMID: 9925622 Free PMC article.
-
Polyphasic characterization of a suite of bacterial isolates capable of degrading 2,4-D.Microb Ecol. 1995 Jul;30(1):3-24. doi: 10.1007/BF00184510. Microb Ecol. 1995. PMID: 24185409
-
Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning.Nat Commun. 2023 Apr 25;14(1):2375. doi: 10.1038/s41467-023-38110-7. Nat Commun. 2023. PMID: 37185345 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Molecular Biology Databases
Miscellaneous