Publications by authors named "A A Shipova"
As areas of application of terahertz (THz) radiation expand in science and practice, evidence is accumulating that this type of radiation can affect not only biological molecules directly, but also cellular processes as a whole. In this study, the transcriptome in cells of the thermophilic bacterium was analyzed immediately after THz irradiation (0.23 W/cm, 130 μm, 15 min) and at 10 min after its completion.
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- The study explores microbial diversity and metabolic potential in unique saline and freshwater lakes in southwestern Siberia, specifically a hypersaline lake in the Novosibirsk region.
- Using a metagenomic approach, researchers analyzed the composition and structure of microbial communities in different sediment layers and found significant phyla such as Proteobacteria, Cyanobacteria, and Bacteroidetes in the upper layers and different dominant bacteria in deeper layers.
- The study reconstructed metabolic pathways to understand the microorganisms' roles in the biogeochemical cycles of carbon, nitrogen, and sulfur, highlighting the relationships among different microbial taxa across various ecological niches.
De novo assembly and analysis of the transcriptome of the Siberian wood frog Rana amurensis.
Vavilovskii Zhurnal Genet Selektsii
February 2022
The Siberian wood frog Rana amurensis Boulenger, 1886 is the most hypoxia-tolerant amphibian. It can survive for several months in an almost complete absence of oxygen. Little is known about the mechanisms of this remarkable resilience, in part because studies of amphibian genomes are impeded by their large size.
View Article and Find Full Text PDFBelow 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.
View Article and Find Full Text PDFBelow 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.
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