3 RESULTS
Genomics, transcriptomics, bioinformatics symposiumMetavirome analysis of Baikal sponges

Metavirome analysis of Baikal sponges

Poster (download)

[pdf-embedder url=”https://bgrssb.icgbio.ru/wp-content/uploads/2020/07/365.pdf”]
Tatyana Vladimirovna Butina1, Yurij Sergeevich Bukin2, Igor Veniaminovich Khanaev3
1Laboratory of Analytical and Bioorganic Chemistry LIN SB RAS Irkutsk, Russia, tvbutina@mail.ru
2Laboratory of Genosystematics LIN SB RAS Irkutsk, Russia, bukinyura@mail.ru
3Laboratory of Ichthyology LIN SB RAS Irkutsk, Russia, igkhan@lin.irk.ru

Sponges are the oldest multicellular invertebrates (phylum Porifera); they are ecologically important components of marine and freshwater benthic environments. Associated communities of sponges include a variety of microorganisms: fungi, algae, archaea, bacteria and viruses. The aim of this study was to elucidate the genetic diversity of viruses in the community of Baikal endemic sponges Baikalospongia bacillifera using metagenomic approach. We have shown for the first time a high genetic, potential taxonomic and functional diversity of dsDNA viruses in these Baikal sponges. Identified viral sequences belonged to 28 viral families that infect a wide range of organisms. The bacteriophages of the Myoviridae, Siphoviridae and Podoviridae families dominated in the samples. The viruses of the Phycodnaviridae, Poxviridae Mimiviridae, Herpesviridae, Baculoviridae, Polydnaviridae and Iridoviridae families were also the most numerous. Viral communities of visually healthy and diseased Baikal sponges were significantly different. Analysis of viral sequences has indicated 22 functional categories of proteins and revealed a wide variety of structural viral proteins and enzymes. Among those the genes of proteins involved in the metabolism of host cells were also identified. Thus, the role of viruses in sponges may be both in the regulation of the number and diversity and in the maintenance of the vital activity of their hosts and the associated community as a whole.

Genomics, transcriptomics, bioinformatics symposiumPCR dependent biases could significantly affect quantitative estimation of plant mix composition

PCR dependent biases could significantly affect quantitative estimation of plant mix composition

Valeriia Kaptelova1, Maria Logacheva2, Anna Speranskaya3, Denis Omelchenko4, Anna Fedotova5, Anastasia Krinitsina6, Andrey Ayginin7, Kamil Khafizov8, Elena Korneenko9, Andrei Samoilov10
1Central Research Institute of Epidemiology, Moscow, Russia, valeriia.kaptelova@gmail.com
2Skolkovo Institute of Science and Technology, Skolkovo, Russia, maria.log@gmail.com
3Central Research Institute of Epidemiology, Moscow, Russia, hanna.s.939@gmail.com
4Institute of Information Transmission Problems, Moscow, Russia, omdeno@gmail.com
5Skolkovo Institute of Science and Technology, Skolkovo, Russia, mikrobiomsu@list.ru
6Lomonosov Moscow State University, Moscow, Russia, ankrina@gmail.com
7FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, ayginin75@gmail.com
8FSBI “Center of Strategic Planning” of the Ministry of Health, Moscow, Russia, kkhafizov@gmail.com
9Central Research Institute of Epidemiology, Moscow, Russia, lennatta@yandex.ru
10Central Research Institute of Epidemiology, Moscow, Russia, andrei.samoilov@gmail.com

Metagenomic analysis using high-throughput sequencing is an intensively developing approach nowadays. One of its problems is the adequate quantification of components in metagenomic samples.

Genomics,  bioinformatics  and evolution symposiumNovel archaeal metagenome assembled genomes from acidophilic microbial community of Parys Mountain copper mine (UK)

Novel archaeal metagenome assembled genomes from acidophilic microbial community of Parys Mountain copper mine (UK)

Aleksei Korzhenkov1, Stepan V. Toshchakov2, Ilya V. Kublanov3, Peter N. Golyshin4, Olga V. Golyshina5
1NRC Kurchatov Institute, oscypek@ya.ru
2FRC \”Biotechnology\” RAS, stepan.toshchakov@gmail.com
3FRC \”Biotechnology\” RAS, kublanov.ilya@gmail.com
4Bangor University, p.golyshin@bangor.ac.uk
5Bangor University, o.golyshina@bangor.ac.uk

Metagenomic analysis is a powerful tool for discovery of novel microbial taxa. Here we report reconstruction of several archaeal metagenome assembled genomes (arMAGs) belonging to uncultivated lineages of Euryarchaeota and DPANN superphylum.