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Phylogenetic diversity of bacterial communities inhabiting the sediment of Lake Hévíz — A comparison of cultivation and cloning

Krett, Gergely and Vágány, Viktória and Makk, Judit and Jáger, Katalin and Reskóné, Mária and Márialigeti, Károly and Borsodi, Andrea (2013) Phylogenetic diversity of bacterial communities inhabiting the sediment of Lake Hévíz — A comparison of cultivation and cloning. Acta Microbiologica et Immunologica Hungarica, 60 (2). pp. 211-235. ISSN 1217-8950

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Abstract

Lake Hévíz is the largest natural warm water lake of Europe. The curative mud of the lake comprises volcanic and marsh components although their species composition is hardly known yet. The aim of the present study was to gain information about the distribution and species diversity of bacterial communities inhabiting the sediment of Lake Hévíz using cultivation-based and molecular cloning methods. Samples from two depths and locations were taken in 2004 and 2007. Representatives of the altogether 255 bacterial isolates were affiliated with the phyla Firmicutes, Actinobacteria, Proteobacteria and Bacteroidetes. The most abundant groups belonged to the genus Bacillus (Firmicutes). Many of Lake Hévíz isolates showed the highest sequence similarity to bacteria known to be plant associated or members of normal human microbiota as well as participating in decomposition of highly resistant organic materials. In the three clone libraries, phylotypes belonging to altogether different phyla (Firmicutes, Actinobacteria, Proteobacteria, Bacteroidetes, Cyanobacteria, Chlorobi, Chloroflexi, Deferribacteres, Nitrospirae, Spirochaetes and Verrucomicrobia) were revealed from which members of Gammaproteobacteria and Cyanobacteria proved to be the most abundant. Regardless of the sampling times and methodology used, high spatial heterogeneities of bacterial community structures were characteristic of the sediment of Lake Hévíz.

Item Type: Article
Subjects: Q Science / természettudomány > QR Microbiology / mikrobiológia
Depositing User: Ágnes Sallai
Date Deposited: 20 Apr 2017 07:51
Last Modified: 20 Apr 2017 07:51
URI: http://real.mtak.hu/id/eprint/51546

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