Literature DB >> 16584863

Taxonomic characterization of members of the genus Corallococcus: molecular divergence versus phenotypic coherency.

Erko Stackebrandt1, Orsola Päuker, Ulrike Steiner, Peter Schumann, Bettina Sträubler, Sandra Heibei, Elke Lang.   

Abstract

Corallococcus coralloides DSM 2259(T), Corallococcus exiguus DSM 14696(T), Corallococcus macrosporus DSM 14697(T) and more than 35 strains identified as members of Corallococcus on the basis of morphology were subjected to partial sequences analysis of three housekeeping genes (lepA, fusA and rpoB), complementing a recent phylogenetic analysis based on genes coding for 16S rRNA and gyrB. Phylogenetic analysis of each gene, generated by maximum likelihood and two different additive treeing algorithms, resulted in the separate position of C. macrosporus DSM 14697(T) and a few Corallococcus strains that were more closely related to Myxococcus xanthus than to the other members of Corallococcus. The latter strains formed three clearly separate clusters by 16S rRNA gene phylogeny. This relationship, however, was only partially recovered by the other gene trees. Group 1, embracing the type strains of C. coralloides and C. exiguus, only emerged as a coherent cluster in the 16S rRNA gene tree. In all other gene trees this cluster embraced organisms of cluster 3, which either formed coherent subclusters (gyrB, lepA) or which appeared polyphyletic (fusA, rpoB). Group 2 organisms consistently constituted a monophyletic cluster, though their branching within the gene trees differed. A concatenated tree, based on the analysis of about 5400 nucleotides of all five partial genes was most similar to the 16S rRNA gene tree. In order to determine whether the individual clusters that emerged by 16S rRNA gene analysis (>99.1% intracluster similarities) show phenetic properties that would allow their description as new species, a few strains of each group were subjected to the analysis of whole cell fatty acid and physiological properties. Riboprint patterns were generated for some members of group 1. While the DNA-DNA reassociation values and riboprint patterns confirmed the genomic heterogeneity of members of cluster 1, none of the other properties investigated were sufficiently discriminative to allow the formal description of strain clusters as new species.

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Year:  2006        PMID: 16584863     DOI: 10.1016/j.syapm.2006.03.002

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  8 in total

1.  Fatty acid-related phylogeny of myxobacteria as an approach to discover polyunsaturated omega-3/6 Fatty acids.

Authors:  Ronald Garcia; Dominik Pistorius; Marc Stadler; Rolf Müller
Journal:  J Bacteriol       Date:  2011-02-11       Impact factor: 3.490

2.  Flavobacterium aquariorum sp. nov., isolated from freshwater of the North Han River.

Authors:  Yochan Joung; Hye-Jin Jang; Jaeho Song; Jang-Cheon Cho
Journal:  J Microbiol       Date:  2019-02-05       Impact factor: 3.422

3.  Corallococcus silvisoli sp. nov., a novel myxobacterium isolated from subtropical forest soil.

Authors:  Xian-Jiao Zhang; Guang-Da Feng; Yang Liu; Yang Zhou; Xiaoqin Deng; Qing Yao; Honghui Zhu
Journal:  Arch Microbiol       Date:  2022-01-18       Impact factor: 2.552

4.  Myxobacteria Are Able to Prey Broadly upon Clinically-Relevant Pathogens, Exhibiting a Prey Range Which Cannot Be Explained by Phylogeny.

Authors:  Paul G Livingstone; Russell M Morphew; David E Whitworth
Journal:  Front Microbiol       Date:  2017-08-22       Impact factor: 5.640

5.  Novel expression hosts for complex secondary metabolite megasynthetases: Production of myxochromide in the thermopilic isolate Corallococcus macrosporus GT-2.

Authors:  Olena Perlova; Klaus Gerth; Silvia Kuhlmann; Youming Zhang; Rolf Müller
Journal:  Microb Cell Fact       Date:  2009-01-06       Impact factor: 5.328

6.  Comparison of myxobacterial diversity and evaluation of isolation success in two niches: Kiritimati Island and German compost.

Authors:  Kathrin I Mohr; Marc Stechling; Joachim Wink; Elke Wilharm; Marc Stadler
Journal:  Microbiologyopen       Date:  2015-12-15       Impact factor: 3.139

7.  Use of MALDI-TOF MS and culturomics to identify mosquitoes and their midgut microbiota.

Authors:  Fatalmoudou Tandina; Lionel Almeras; Abdoulaye K Koné; Ogobara K Doumbo; Didier Raoult; Philippe Parola
Journal:  Parasit Vectors       Date:  2016-09-10       Impact factor: 3.876

8.  Assessment of Evolutionary Relationships for Prioritization of Myxobacteria for Natural Product Discovery.

Authors:  Andrew Ahearne; Hanan Albataineh; Scot E Dowd; D Cole Stevens
Journal:  Microorganisms       Date:  2021-06-24
  8 in total

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