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1 Institut für Molekulare Mikrobiologie und Biotechnologie, Westfälische Wilhelms-Universität Münster, Correnstrasse 3, 48149 Münster, Germany
2 Institut für Ingenieurbiologie und Biotechnologie des Abwassers, Universität Karlsruhe, Am Fasanengarten, 76131 Karlsruhe, Germany
3 Laboratory of Microbiology, Department of Biochemistry, Physiology and Microbiology, Universiteit Gent, K.L. Ledeganckstraat 35, 9000 Gent, Belgium
Correspondence
Alexander Steinbüchel
steinbu{at}uni-muenster.de
A novel betaproteobacterium, strain TBEA3T, was isolated from soil using enrichment cultures with the organic thioether 3,3'-thiodipropionic acid as sole carbon and energy source. Analysis of the 16S rRNA gene sequence revealed 99.1 % sequence similarities to a poorly characterized member of the family Comamonadaceae, strain SB1T, which had been previously isolated from activated sludge. Both strains showed highest gene sequence similarities (up to 96.9 %) to members of the genera Rhodoferax and Curvibacter. The DNA G+C contents of strains TBEA3T and SB1T were 69.1 and 70.1 mol%, respectively, and the DNA–DNA hybridization value between these two strains was 45.3 %. The predominant cellular fatty acids in both strains were C16 : 0, C18 : 1
7c and summed feature 3 (C16 : 1
7c and/or C15 : 0 iso 2-OH). The major 3-hydroxy fatty acid was C10 : 0 3-OH. Based on the genetic and chemotaxonomic data, strains TBEA3T and SB1T represent two novel species of a new genus within the family Comamonadaceae, for which the name Pseudorhodoferax gen. nov. is proposed. Strain TBEA3T (=LMG 24555T=DSM 21634T) is assigned to Pseudorhodoferax soli sp. nov., as the type strain of the type species of the genus. Strain SB1T (=LMG 24543T=DSM 21598T) is the type strain of Pseudorhodoferax caeni sp. nov.
The GenBank/EMBL/DDBJ accession numbers for the 16S rRNA gene sequences of strain TBEA3T and strain SB1T are EU825700 and AJ606333, respectively.
Supplementary figures showing the structural formula of TDP and 16S rRNA gene sequence phylogenies constructed with the maximum-likelihood and maximum-parsimony methods are available with the online version of this paper.
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