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Single colony genetic analysis of epilithic stream algae of the genus Chamaesiphon spp.

Overview of attention for article published in Hydrobiologia, August 2017
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Title
Single colony genetic analysis of epilithic stream algae of the genus Chamaesiphon spp.
Published in
Hydrobiologia, August 2017
DOI 10.1007/s10750-017-3295-z
Pubmed ID
Authors

Rainer Kurmayer, Guntram Christiansen, Andreas Holzinger, Eugen Rott

Abstract

In order to understand Chamaesiphon spp. evolution and ecological diversification, we investigated the phylogenetic differentiation of three morphospecies from field samples by means of single colony genetics. Individual colonies of three different morphospecies (C. starmachii, C. polonicus, C. geitleri,) were isolated from lotic gravel streams and their 16S rDNA nucleotide variability was analyzed. For a number of individual colonies, microscopical and ultrastructural analysis was also performed. A phylogenetic tree of all major lineages of the phylum of Cyanobacteria assigned all Chamaesiphon genotypes (1149-1176 bp) most closely with the family of Gomontiellaceae of the order Oscillatoriales. The sequences obtained from colonies assigned to C. starmachii (n = 21), C. polonicus (n = 9), and C. geitleri (n = 17) were found to reveal high average (3.5%) nucleotide diversity. No phylogenetic sub-branching in correspondence with morphology was observed suggesting that the three Chamaesiphon morphospecies did not represent monophyletic taxa. We could not attribute specific thylakoid ultrastructure to phylogenetic sub-branches; however, the observed parietally and loosely arranged thylakoids indicate that for the genus Chamaesiphon, the variability in thylakoid ultrastructure might have been underestimated. In summary, the high nucleotide diversity of the 16S rDNA gene implies phylogenetic diversity that corresponds little to morphological classification.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Bachelor 4 17%
Student > Master 4 17%
Student > Ph. D. Student 2 9%
Other 1 4%
Other 0 0%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Biochemistry, Genetics and Molecular Biology 5 22%
Environmental Science 1 4%
Immunology and Microbiology 1 4%
Social Sciences 1 4%
Other 0 0%
Unknown 8 35%