The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.

Insight into the role of bacteria in degradation of diatoms is important for understanding the factors and components of silica turnover in aquatic ecosystems. Using microscopic methods, it has been shown that the degree of diatom preservation and the numbers of diatom-associated bacteria in the sur...

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Autores principales: Yulia R Zakharova, Yuri P Galachyants, Maria I Kurilkina, Alexander V Likhoshvay, Darya P Petrova, Sergey M Shishlyannikov, Nikolai V Ravin, Andrey V Mardanov, Alexey V Beletsky, Yelena V Likhoshway
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spelling oai:doaj.org-article:b57635de8aab4659a66677495a2ef2772021-11-18T07:51:14ZThe structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.1932-620310.1371/journal.pone.0059977https://doaj.org/article/b57635de8aab4659a66677495a2ef2772013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23560063/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Insight into the role of bacteria in degradation of diatoms is important for understanding the factors and components of silica turnover in aquatic ecosystems. Using microscopic methods, it has been shown that the degree of diatom preservation and the numbers of diatom-associated bacteria in the surface layer of bottom sediments decrease with depth; in the near-bottom water layer, the majority of bacteria are associated with diatom cells, being located either on the cell surface or within the cell. The structure of microbial community in the near-bottom water layer has been characterized by pyrosequencing of the 16S rRNA gene, which has revealed 149 208 unique sequences. According to the results of metagenomic analysis, the community is dominated by representatives of Proteobacteria (41.9%), Actinobacteria (16%); then follow Acidobacteria (6.9%), Cyanobacteria (5%), Bacteroidetes (4.7%), Firmicutes (2.8%), Nitrospira (1.6%), and Verrucomicrobia (1%); other phylotypes account for less than 1% each. For 18.7% of the sequences, taxonomic identification has been possible only to the Bacteria domain level. Many bacteria identified to the genus level have close relatives occurring in other aquatic ecosystems and soils. The metagenome of the bacterial community from the near-bottom water layer also contains 16S rRNA gene sequences found in previously isolated bacterial strains possessing hydrolytic enzyme activity. These data show that potential degraders of diatoms occur among the vast variety of microorganisms in the near-bottom water of Lake Baikal.Yulia R ZakharovaYuri P GalachyantsMaria I KurilkinaAlexander V LikhoshvayDarya P PetrovaSergey M ShishlyannikovNikolai V RavinAndrey V MardanovAlexey V BeletskyYelena V LikhoshwayYelena V LikhoshwayPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 4, p e59977 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yulia R Zakharova
Yuri P Galachyants
Maria I Kurilkina
Alexander V Likhoshvay
Darya P Petrova
Sergey M Shishlyannikov
Nikolai V Ravin
Andrey V Mardanov
Alexey V Beletsky
Yelena V Likhoshway
Yelena V Likhoshway
The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
description Insight into the role of bacteria in degradation of diatoms is important for understanding the factors and components of silica turnover in aquatic ecosystems. Using microscopic methods, it has been shown that the degree of diatom preservation and the numbers of diatom-associated bacteria in the surface layer of bottom sediments decrease with depth; in the near-bottom water layer, the majority of bacteria are associated with diatom cells, being located either on the cell surface or within the cell. The structure of microbial community in the near-bottom water layer has been characterized by pyrosequencing of the 16S rRNA gene, which has revealed 149 208 unique sequences. According to the results of metagenomic analysis, the community is dominated by representatives of Proteobacteria (41.9%), Actinobacteria (16%); then follow Acidobacteria (6.9%), Cyanobacteria (5%), Bacteroidetes (4.7%), Firmicutes (2.8%), Nitrospira (1.6%), and Verrucomicrobia (1%); other phylotypes account for less than 1% each. For 18.7% of the sequences, taxonomic identification has been possible only to the Bacteria domain level. Many bacteria identified to the genus level have close relatives occurring in other aquatic ecosystems and soils. The metagenome of the bacterial community from the near-bottom water layer also contains 16S rRNA gene sequences found in previously isolated bacterial strains possessing hydrolytic enzyme activity. These data show that potential degraders of diatoms occur among the vast variety of microorganisms in the near-bottom water of Lake Baikal.
format article
author Yulia R Zakharova
Yuri P Galachyants
Maria I Kurilkina
Alexander V Likhoshvay
Darya P Petrova
Sergey M Shishlyannikov
Nikolai V Ravin
Andrey V Mardanov
Alexey V Beletsky
Yelena V Likhoshway
Yelena V Likhoshway
author_facet Yulia R Zakharova
Yuri P Galachyants
Maria I Kurilkina
Alexander V Likhoshvay
Darya P Petrova
Sergey M Shishlyannikov
Nikolai V Ravin
Andrey V Mardanov
Alexey V Beletsky
Yelena V Likhoshway
Yelena V Likhoshway
author_sort Yulia R Zakharova
title The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
title_short The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
title_full The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
title_fullStr The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
title_full_unstemmed The structure of microbial community and degradation of diatoms in the deep near-bottom layer of Lake Baikal.
title_sort structure of microbial community and degradation of diatoms in the deep near-bottom layer of lake baikal.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/b57635de8aab4659a66677495a2ef277
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