Natural fungal communities are characterized by a high diversity of unique biochemical pathways, including the biosynthesis of antimicrobial substances, organic acids, and even toxins (Branco, 2019). At the same time, individual fungi from one community might significantly differ from each other in terms of their functional capabilities (Wisecaver et al., 2014). This is due to differences in gene content.Functional capabilities are of great interest to modern industrial biotechnology (Chergui et al., 2021;Habibi et al., 2021;Li et al., 2020). Also, information about gene content can be useful to solve ecological problems such as the bioconversion of solid waste (Chilakamarry et al., 2022) or caffeine utilization (Zhou et al., 2018).To get a more complete picture of the functional capabilities of the fungi under study, functional annotation of whole genome assemblies is used.

The microbiota of the respiratory tract remains a relatively poorly studied subject. At the same time, it is involved in modulating the immune response to infectious agents in the host organism, just like the intestinal microbiota. A relationship between the composition of the respiratory microbiota and the likelihood of development and the severity of COVID-19 may be assumed. In this study, we applied the 16S rRNA metagenomic sequencing to analyze the oropharyngeal swabs from 120 COVID-19 patients collected during the first and the second waves of the COVID-19 epidemic in Russia. Differential abundance analysis with respect to comorbidities suggested association of Neisseria oralis, Neisseria mucosa, unidentified Veillonella spp., Lautropia mirabilis species with more severe lung damage, and Streptococcus salivarius, Capnocytophaga sputigena and Haemophilus parahaemolyticus with a milder course of the disease. We hypothesize that the latter bacteria (or some of them) might be beneficial for the respiratory tract and might be able to alleviate the course of the COVID-19 disease.

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The dose-dependent effects of single metals (Zn, Ni, and Cu) and their combinations at steady time-actions on the cell viability of the bacteria Shewanella xiamenensis DCB 2-1, isolated from a radionuclide-contaminated area, have been estimated. The accumulation of metals by Shewanella xiamenensis DCB 2-1 in single and multi-metal systems was assessed using the inductively coupled plasma atomic emission spectroscopy. To estimate the response of the bacteria’s antioxidant defense system, doses of 20 and 50 mg/L of single studied metals and 20 mg/L of each metal in their combinations (non-toxic doses, determined by the colony-forming viability assay) were used. Emphasis was given to catalase and superoxide dismutase since they form the primary line of defense against heavy metal action and their regulatory circuit of activity is crucial. The effect of metal ions on total thiol content, an indicator of cellular redox homeostasis, in bacterial cells was evaluated. Genome sequencing of Shewanella xiamenensis DCB 2-1 reveals genes responsible for heavy metal tolerance and detoxification, thereby improving understanding of the potential of the bacterial strain for bioremediation.

Fungi are inseparable companions of human life, they can be found in both the environment and human organs including skin, respiratory tract and gut. Studies of fungal communities are of great interest to modern biology, partially due to their specific way of life and the presence of unique biochemical pathways they have. Fungi have been shown to be both producers of useful compounds, such as antibiotics and organic acids, and pathogens of various diseases. When considering the selected fungal community, in a number of cases it is rather difficult to evaluate its functional capabilities, which is partially caused by some technical difficulties in the analysis and annotation of whole eukaryotic genomes. In practice, the taxonomic composition of fungal communities is determined using short marker sequences. The most popular fungal taxonomy markers are ITS (internal transcribed spacer) sequences. Here, we present FunFun, the instrument that allows to evaluate the functional content of an individual fungus or mycobiome based on ITS sequencing data.

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