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Wednesday, August 2 • 14:30 - 14:50
Correlation analysis of microbial metacommunity in lake Baikal based on data of high throughput sequencing

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Bacteria and unicellular eukaryotes coexist in aquatic ecosystems by forming networks of interspecies relationship. The use of high throughput sequencing for the analysis of the composition of microbial communities in combination with statistical methods makes it possible to reveal the features of the functioning of microbial communities. The work aims at determining relationship between the representatives of microbial metacommunity and environmental parameters of photic layer in Lake Baikal. Water samples were collected in the upper layer (0-25 m) across 30 stations in Lake Baikal in early June 2012. The total DNA was extracted from the samples, amplification of the V3-V4 region of the 16S rRNA gene and V3 region of the 18S rRNA gene was performed. The amplicons were sequenced, using GS FLX 454 genomic sequencer (Roche, USA) (LIN SB RAS). The results of pyrosequencing were analyzed using Mothur 1.19.0. The analysis revealed 867 operating taxonomic units (OTU) at the level of genetic distance 0.03 for Bacteria, and 2442 OTUs of Eukaryota. The obtained OTU were identified with the usage of SILVA and NCBI databases. To analyze the relationship between metacommunity components and the environment, a correlation analysis was performed between the number of OTU sequences and physical and chemical parameters. Most of strong (r≥0.5) significant (α = 0.05) correlations in bacterial communities referred to OTUs of Actinobacteria and Bacteroidetes. Autotrophic and unclassified eukaryotes of OTUs had most of strong significant correlations (r≥0.45, α = 0.05) in eukaryotic communities. Positive correlations were primarily found between representatives of either Bacteria or Eukaryota, while positive and negative correlations were found between both Bacteria and Eukaryota (r≥ | 0.45 |, α = 0.05). A small group of taxa correlated with the lake’s environmental parameters (NO3, PO4, Si, O2 and temperature). As such, the structure of Lake Baikal’s microbial metacommunity is mainly influenced by relationship between different groups of microorganisms in spring, and to a less degree by abiotic parameters. Probably, this is caused by constant habitat conditions in the lake during the period under study. The study was carried out as part of FASO topic No. 0345-2016-0005 "Experimental studies of genomes and proteomes of biota of freshwater ecosystems".


Wednesday August 2, 2017 14:30 - 14:50
Graduate School of Management Building, room 309 Volkhovskiy Pereulok, 3, St. Petersburg, Russia