Инд. авторы:	Bryanskaya A.V., Shipova A.A., Rozanov A.S., Volkova O.A., Lazareva E.V., Uvarova Y.E., Goryachkovskaya T.N., Peltek S.E.
Заглавие:	Metagenomics dataset used to characterize microbiome in water and sediments of the lake Solenoe (Novosibirsk region, Russia)
Библ. ссылка:	Bryanskaya A.V., Shipova A.A., Rozanov A.S., Volkova O.A., Lazareva E.V., Uvarova Y.E., Goryachkovskaya T.N., Peltek S.E. Metagenomics dataset used to characterize microbiome in water and sediments of the lake Solenoe (Novosibirsk region, Russia) // DATA IN BRIEF. - 2021. - Vol.34. - Art.106709. - ISSN 2352-3409.
Внешние системы:	DOI: 10.1016/j.dib.2020.106709; PubMed: 33490329; WoS: 000617525400095;
Реферат:	eng: 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. (c) 2021TheAuthors. PublishedbyElsevierInc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Ключевые слова:	Bottom sediments; Cyanobacterial community; Next-generation sequencing; Whole genome sequencing; Metagenomics; Lake Solenoe;
Издано:	2021
Физ. характеристика:	106709