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The issues of microbial taxonomy and potential interactions with a microbial commons are discussed, with emphasis on three components: characterization; classification; and nomenclature. The current state of technology and the spectrum of methods that are used for phenotypic and genotypic characterization of prokaryotes, classification at different taxonomic levels and points of prokaryote nomenclature are reviewed. While all taxonomic ranks comprise a cohesive systematic framework for microorganisms, the prokaryotic genus and species provide the "working unit" of taxonomy. Since 2004, the number of validly published genera and species has increased by approximately 50%. Extensive development of technology will continue to enable ever higher resolution characterization and more refined classification of microorganisms. Characterization and classification at the species level may be most relevant for bacterial taxonomy, although reproducible differentiation at the strain level will probably prove to be more relevant for a microbial commons. A dynamic microbial taxonomy, albeit with well-founded and stable guidelines for defining microorganisms, provides an efficient organizational system for dealing with the enormous spectrum of microbial diversity., ((c) 2010 Elsevier Masson SAS. All rights reserved.)

A total of 541 gram-negative nonfermentative bacterial strains comprising 26 species and unclassified groups were characterized by routine diagnostic and carbon substrate alkalinization techniques. These microorganisms were tested for the ability to cause alkalinization of a basal medium on a total of 217 substrates. We found that 58 carbon substrates had some discriminatory potential. We also performed 30 routine diagnostic tests. The results of these studies were evaluated by numerical taxonomy techniques. A cluster analysis of the results by the Jaccard coefficient method identified 30 clusters at the 45% level. We identified 39 tests that separated most of the groups. Groups of similar organisms or organisms that were difficult to identify were analyzed, and tests that were differential were identified. Because of variability within the clusters, further studies utilizing deoxyribonucleic acid-deoxyribonucleic acid homologies should be undertaken.