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Planktonic and sedimentary bacterial diversity of Lake Sayram in summer.


ABSTRACT: Lake Sayram is an ancient cold water lake locating at a mountain basin in Xinjiang, China. The lake water is brackish, alkaline, unpolluted, and abundant in SO4(2-) and Mg(2+). The lacustrine ecosystem of Lake Sayram has been intensely investigated. However, profiles of the microbial communities in the lake remain largely unknown. In this study, taxonomic compositions of the planktonic and sedimentary bacterial communities in Lake Sayram were investigated using 16S rRNA metagenomics. The lacustrine bacterial communities were generally structured by environmental conditions, including the hydrological and physicochemical parameters. Proteobacteria was the dominating phylum. In the lake water, the genera Acinetobacter and Ilumatobacter held an absolute predominance, implying their metabolic significance. In the bottom sediment, biogeochemically significant bacteria and thermophilic or acidothermophilic extremophiles were recovered. In contrast to the planktonic bacteria, an appreciable portion of the sedimentary bacteria could not be classified into any known taxonomic unit, indicating the largely unknown bacteriosphere hiding in the bottom sediment of Lake Sayram.

SUBMITTER: Fang L 

PROVIDER: S-EPMC4618613 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Planktonic and sedimentary bacterial diversity of Lake Sayram in summer.

Fang Lei L   Chen Lei L   Liu Yuan Y   Tao Wei W   Zhang Zhongzhe Z   Liu Haiying H   Tang Yong Y  

MicrobiologyOpen 20150803 5


Lake Sayram is an ancient cold water lake locating at a mountain basin in Xinjiang, China. The lake water is brackish, alkaline, unpolluted, and abundant in SO4(2-) and Mg(2+). The lacustrine ecosystem of Lake Sayram has been intensely investigated. However, profiles of the microbial communities in the lake remain largely unknown. In this study, taxonomic compositions of the planktonic and sedimentary bacterial communities in Lake Sayram were investigated using 16S rRNA metagenomics. The lacustr  ...[more]

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