Bryanskaya Alla V, Shipova Aleksandra A, Rozanov Alexei S, Volkova Oxana A, Lazareva Elena V, Uvarova Yulia E, Goryachkovskaya Tatyana N, Peltek Sergey E
Laboratory of Molecular Biotechnologies of Federal Research Center Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, 10 Lavrentiev Aven., Novosibirsk 630090, Russia.
Kurchatov Genomics Center of Federal Research Center Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, 10 Lavrentiev Aven., Novosibirsk 630090, Russia.
Data Brief. 2020 Dec 30;34:106709. doi: 10.1016/j.dib.2020.106709. eCollection 2021 Feb.
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.
这是通过宏基因组学方法获得的关于索列诺耶湖（俄罗斯新西伯利亚地区）浮游蓝藻群落和沉积物样本中微生物多样性的数据。首次对新西伯利亚州湖泊生态系统的微生物多样性进行了如此详细的数据研究。我们工作的目的是利用下一代测序（NGS）技术和宏基因组分析，揭示所研究湖泊生态系统中的微生物分类多样性和丰度、代谢途径以及新的酶发现。数据是使用Illumina NextSeq和NovaSeq上的宏基因组DNA全基因组测序（WGS）获得的。用于分析的原始序列数据可在NCBI的序列读取存档（SRA）中获取，其生物项目和SRA登录号分别为：PRJNA493912（SRR7943696）、PRJNA493952（SRR7943839）和PRJNA661775（SRR12601635、SRR12601634、SRR12601633），分别对应浮游蓝藻群落和沉积物层样本。
