Browsing by Author "Stackebrandt, Erko"

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    Archaeal Diversity in the Haloalkaline Lake Elmenteita in Kenya
    (Springer-Verlag, 2009-10-06) Mwirichia, Romano K.; Cousin, Sylvie; Muigai, Ann W.; Boga, Hamadi I.; Stackebrandt, Erko
    A non-culture approach was used to study the archaeal diversity in Lake Elmenteita, Kenya. Five different sampling points were selected randomly within the lake. Wet sediments and water samples were collected from each sampling point. In addition, dry mud cake was collected from three points where the lake had dried. DNA was extracted from these samples and the 16S rRNA genes were amplified using primers described to be Domain-specific for Archaea. Eleven clone libraries were constructed using PCR-amplified 16S rRNA genes. A total of 1,399 clones were picked and analysed via ARDRA. 170 ARDRA patterns were unique and the respective clones were selected for sequencing. 149 clones gave analysable sequences. BLAST analysis showed that 49 belong to the Domain Archaea while the others were either chimera or affiliated to eukaryotic taxa. Comparative sequence analysis of archaeal clones affiliated them to a wide range of genera. The order Halobacteriales was represented by members of the genera Natronococcus, Halovivax, Halobiforma, Halorubrum, and Halalkalicoccus. The highest percentage (46%) of the clones, however, belonged to uncultured members of the Domain Archaea in the order Halobacteriales. The results show that the archaeal diversity in the lake could be higher than previously reported.
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    Bacterial Diversity in the Haloalkaline Lake Elmenteita
    (Springer-Verlag, 2010-06) Mwirichia, Romano K.; Cousin, S.; Muigai, A.W.; Boga, Hamadi I.; Stackebrandt, Erko
    Lake Elmenteita is one of the alkaline saline lakes within the Kenyan Rift valley. The lake is situated on the floor of the Kenyan Rift Valley at 1,776 m above sea level and has no direct outlet. The microbial diversity of the lake was investigated using a culture-independent approach. Five different sampling points were selected randomly within the lake. Wet sediments and water samples were collected from each sampling point. In addition, dry mud cake was collected from three points where the lake had dried. DNA was extracted from the samples and the 16S rRNA genes amplified using universal primers for Bacteria. Thirteen clone libraries were constructed using the PCR amplified 16S rRNA genes. A total of 1,663 clones were picked. Representative clones were selected using ARDRA technique for sequencing. 655 partial and non-chimeric clone sequences indicated the presence of 37 orders in the Domain Bacteria. Cyanobacteria were the most abundant clones in terms of numbers whereas members of the phylum Firmicutes group were the second in terms of numbers but the most diverse in terms of genera represented. All clones affiliated to the class Betaproteobacteria originated from DNA obtained from the water samples. Analysis using BLAST showed that 93.1% of the sequenced clones had similarity values below 98% to both cultured and as yet uncultured bacteria, resulting in 596 phylotypes. Therefore, it can be concluded that Lake Elmenteita harbours phylogenetically diverse groups of bacteria involved in complex metabolic interactions within the Lake’s ecosystem.