Diversity and Metabolism of Microbial Communities in a Hypersaline Lake along a Geochemical Gradient.

In the south of western Siberia (Russia), there are many unique and unexplored soda, saline, and freshwater lakes. In this study, the results are presented on microbial diversity, its metabolic potential, and their relation with a set of geochemical parameters for a hypersaline lake ecosystem in the Novosibirsk region (Oblast). The metagenomic approach used in this work allowed us to determine the composition and structure of a floating microbial community, the upper layer of silt, and the strata of bottom sediments in a natural saline lake via two bioinformatic approaches, whose results are in good agreement with each other. In the floating microbial community and in the upper layers of the bottom sediment, bacteria of the Proteobacteria (Gammaproteobacteria), Cyanobacteria, and Bacteroidetes phyla were found to predominate. The lower layers were dominated by Proteobacteria (mainly Deltaproteobacteria), Gemmatimonadetes, Firmicutes, and Archaea. Metabolic pathways were reconstructed to investigate the metabolic potential of the microbial communities and other hypothetical roles of the microbial communities in the biogeochemical cycle. Relations between different taxa of microorganisms were identified, as was their potential role in biogeochemical transformations of C, N, and S in a comparative structural analysis that included various ecological niches.

Metagenomics data of microbial communities in bacterial mats and bottom sediments in water bodies within the Kurai Mercury Province (Gorny Altai, Russia).

Below is data on the microbial diversity in bottom sediments and microbial mats in water bodies within the Kurai Mercury Province (Ulagan District, Aktash village, Gorny Altai). A database on the geochemical features of water bodies in the study area is presented. Data was obtained using 16 s rRNA amplicon directed metagenomic sequencing on Illumina MiSeq. The raw sequence data used for analysis is available in NCBI under the Sequence Read Archive (SRA) with BioProject No. PRJNA670076 and SRA accession numbers SRX9316205, SRX9316207, SRX9316208, SRX9316209.

Metagenomics data of microbial communities of natural organic matter from the dispersion train of sulfide tailings.

Below is data on the microbial diversity of natural organic matter from the Dispersion Train of Sulfide Tailings (northern Salaire Ridge, southwestern Siberia, Russia, Ursk Village). Data was obtained using 16s rRNA amplicon directed metagenomic sequencing on Illumina MiSeq. The raw sequence data used for analysis is available in NCBI under the Sequence Read Archive (SRA) with BioProject No. PRJNA670045 and SRA accession number SRX9314152, SRX9314376. The data sequences of the 16s rRNA gene are presented at the links MW142408-MW142413, MW142414-MW142447.

Metagenomics dataset used to characterize microbiome in water and sediments of the lake Solenoe (Novosibirsk region, Russia).

This is data on the microbial diversity in the floating cyanobacterial community and sediment samples from the lake Solenoe (Novosibirsk region, Russia) obtained by metagenomic methods. Such a detailed data of the microbial diversity of the Novosibirsk oblast lake ecosystem was carried out for the first time. The purpose of our work was to reveal microbial taxonomic diversity and abundance, metabolic pathways and new enzyme findings the studied lake ecosystem using the next-generation sequencing (NGS) technology and metagenomic analysis. The data was obtained using metagenomics DNA whole genome sequencing (WGS) on Illumina NextSeq and NovaSeq. The raw sequence data used for analysis is available in NCBI under the Sequence Read Archive (SRA) with the BioProjects and SRA accession numbers: PRJNA493912 (SRR7943696), PRJNA493952 (SRR7943839) and PRJNA661775 (SRR12601635, SRR12601634, SRR12601633) corresponding to floating cyanobacterial community and sediment layers samples, respectively.

Metagenomic data on prokaryotic diversity of Kunashir island geothermal spring.

This is data on the microbial diversity of a geothermal spring located on the banks of the acidic creek of Kunashir Island. Data was obtained using 16s rRNA amplicon directed metagenomic sequencing on Illumina MiSeq. The raw sequence data used for analysis is available in NCBI under the Sequence Read Archive (SRA) with the BioProject No. PRJNA637298, PRJNA637447 and SRA accession number SRP265942, SRP266050. The data sequences of the 16s rRNA gene are presented at the accession numbers MT604934-MT604967, MT604911-MT604921 in NCBI GenBank database.