Benthic phototrophic community from Kiran soda lake, south-eastern Siberia View Full Text


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Article Info

DATE

2018-03

AUTHORS

Ekaterina I. Burganskaya, Irina A. Bryantseva, Vasil A. Gaisin, Denis S. Grouzdev, Maria S. Rysina, Darima D. Barkhutova, Roman V. Baslerov, Vladimir M. Gorlenko, Boris B. Kuznetsov

ABSTRACT

Phototrophic bacterial mats from Kiran soda lake (south-eastern Siberia) were studied using integrated approach including analysis of the ion composition of water, pigments composition, bacterial diversity and the vertical distribution of phototrophic microorganisms in the mats. Bacterial diversity was investigated using microscopic examination, 16S rRNA gene Illumina sequencing and culturing methods. The mats were formed as a result of decomposition of sedimented planktonic microorganisms, among which cyanobacteria of the genus Arthrospira predominated. Cyanobacteria were the largest part of phototrophs in the mats, but anoxygenic phototrophs were significant fraction. The prevailing species of the anoxygenic phototrophic bacteria are typical for soda lakes. The mats harbored aerobic anoxygenic phototrophic bacteria, purple sulfur and non-sulfur bacteria, as well as new filamentous phototrophic Chloroflexi. New strains of Thiocapsa sp. Kir-1, Ectothiorhodospira sp. Kir-2 and Kir-4, Thiorhodospira sp. Kir-3 and novel phototrophic Chloroflexi bacterium Kir15-3F were isolated and identified. More... »

PAGES

211-220

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00792-017-0989-0

DOI

http://dx.doi.org/10.1007/s00792-017-0989-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099732740

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29270850


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curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00792-017-0989-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00792-017-0989-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00792-017-0989-0'


 

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