Antibiotic heteroresistance, characterized by rare resistant subpopulations of bacteria within a susceptible main population, is associated with treatment failure and often caused by tandem amplification of resistance genes. Here, we investigated how the distribution of tandem amplifications affects heteroresistance using an approach combining genetic engineering and ultra-deep Nanopore sequencing to accurately quantify the distribution of tandem amplification copy numbers on plasmids down to frequencies of 10-5. Using an Escherichia coli isolate, we describe the direct relation between the distribution of tandem amplifications increasing the copy number of a blaSHV gene and a heteroresistance phenotype to piperacillin-tazobactam, and reveal how this distribution expands under antibiotic pressure and partially reverts upon its removal. Mathematical modeling indicates that indirect resistance and fitness cost of amplifications influence the dynamic distribution of tandem amplifications. These findings provide insights into amplification-mediated phenotypes and enhance possibilities for the development of improved therapeutic and diagnostics strategies for heteroresistance.

Background Heteroresistance (HR) is a significant type of antibiotic resistance observed for several bacterial species and antibiotic classes where a susceptible main population contains small subpopulations of resistant cells. Mathematical models, animal experiments and clinical studies associate HR with treatment failure. Currently used susceptibility tests do not detect heteroresistance reliably, which can result in misclassification of heteroresistant isolates as susceptible which might lead to treatment failure. Here we examined if whole genome sequence (WGS) data and machine learning (ML) can be used to detect bacterial HR. Methods We classified 467 Escherichia coli clinical isolates as HR or non-HR to the often used (3 (3-lactam/inhibitor combination piperacillin-tazobactam using pre-screening and Population Analysis Profiling tests. We sequenced the isolates, assembled the whole genomes and created a set of predictors based on current knowledge of HR mechanisms. Then we trained several machine learning models on 80% of this data set aiming to detect HR isolates. We compared performance of the best ML models on the remaining 20% of the data set with a baseline model based solely on the presence of (3 (3-lactamase genes. Furthermore, we sequenced the resistant sub- populations in order to analyse the genetic mechanisms underlying HR. Findings The best ML model achieved 100% sensitivity and 84.6% specificity, outperforming the baseline model. The strongest predictors of HR were the total number of (3 (3-lactamase genes, (3 (3-lactamase gene variants and presence of IS elements fl flanking them. Genetic analysis of HR strains confirmed that HR is caused by an increased copy number of resistance genes via gene amplification or plasmid copy number increase. This aligns with the ML model's fi findings, reinforcing the hypothesis that this mechanism underlies HR in Gram-negative bacteria. Interpretation We demonstrate that a combination of WGS and ML can identify HR in bacteria with perfect sensitivity and high specificity. This improved detection would allow for better-informed treatment decisions and potentially reduce the occurrence of treatment failures associated with HR.

Heteroresistance (HR) is an enigmatic phenotype where, in a main population of susceptible cells, small subpopulations of resistant cells exist. This is a cause for concern, as this small subpopulation is difficult to detect by standard antibiotic susceptibility tests, and upon antibiotic exposure the resistant subpopulation may increase in frequency and potentially lead to treatment complications or failure. Here, we determined the prevalence and mechanisms of HR for 40 clinical Staphylococcus aureus isolates, against 6 clinically important antibiotics: daptomycin, gentamicin, linezolid, oxacillin, teicoplanin, and vancomycin. High frequencies of HR were observed for gentamicin (69.2%), oxacillin (27%), daptomycin (25.6%), and teicoplanin (15.4%) while none of the isolates showed HR toward linezolid or vancomycin. Point mutations in various chromosomal core genes, including those involved in membrane and peptidoglycan/teichoic acid biosynthesis and transport, tRNA charging, menaquinone and chorismite biosynthesis and cyclic-di-AMP biosynthesis, were the mechanisms responsible for generating the resistant subpopulations. This finding is in contrast to gram-negative bacteria, where increased copy number of bona fide resistance genes via tandem gene amplification is the most prevalent mechanism. This difference can be explained by the observation that S. aureus has a low content of resistance genes and absence of the repeat sequences that allow tandem gene amplification of these genes as compared to gram-negative species.

Bacteria adapting to living in a host cell caused the most salient events in the evolution of eukaryotes, namely the seminal fusion with an archaeon, and the emergence of both mitochondrion and chloroplast. A bacterial clade that may hold the key to understanding these events is the deep-branching gammaproteobacterial order Legionellales-containing among others Coxiella and Legionella-of which all known members grow inside eukaryotic cells. Here, by analyzing 35 novel Legionellales genomes mainly acquired through metagenomics, we show that this group is much more diverse than previously thought, and that key host-adaptation events took place very early in its evolution. Crucial virulence factors like the Type IVB secretion (Dot/Icm) system and two shared effector proteins were gained in the last Legionellales common ancestor (LLCA). Many metabolic gene families were lost in LLCA and its immediate descendants, including functions directly and indirectly related to molybdenum metabolism. On the other hand, genome sizes increased in the ancestors of the Legionella genus. We estimate that LLCA lived approximately 1.89 Ga, probably predating the last eukaryotic common ancestor by approximately 0.4-1.0 Gy. These elements strongly indicate that host adaptation arose only once in Legionellales, and that these bacteria were using advanced molecular machinery to exploit and manipulate host cells early in eukaryogenesis.

Metacercariae of trematodes from the genus Diplostomum are major helminth pathogens of freshwater fish, infecting the eye or the brain. The taxonomy of the genus Diplostomum is complicated, and has recently been based mainly on the molecular markers. In this study, we report the results of the morphological and molecular genetic analysis of diplostomid metacercaria from the brain of the minnow Phoxinus phoxinus from three populations in Fennoscandia (Northern Europe) and one population in Mongolia (East Asia). We obtained the data on the polymorphism of the partial mitochondrial cox1 gene and ribosomal ITS1-5.8S-ITS2 region of these parasites. ?C?-based morphological analysis revealed that the parasites in the Asian and the European groups of Diplostomum sp. were distinctly different. Metacercariae from the brain of Mongolian minnows were much larger than those from the brain of Fennoscandian minnows but had much fewer excretory granules. Considering that the two study regions were separated by a distance of about 4500 km, we also tested the genetic homogeneity of their host, the minnow, using the mitochondrial cytb gene. It was shown that Diplostomum-infected minnows from Mongolia and Fennoscandia represented two previously unknown separate phylogenetic lineages of the genus Phoxinus. Both molecular and morphological analysis demonstrated that the parasites from Fennoscandia belonged the species Diplostomum phoxini, while the parasites from Mongolia belonged to a separate species, Diplostomum sp. M?.Each of the two studied Diplostomum spp. was associated with a specific, and previously unknown, genealogical lineage of its second intermediate host, P. phoxinus.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Bacteriophage therapy is considered one of the most promising therapeutic approaches against multi-drug resistant bacterial infections. Infections caused by Staphylococcus aureus are very efficiently controlled with therapeutic bacteriophage cocktails, containing a number of individual phages infecting a majority of known pathogenic S. aureus strains. We assessed the contribution of individual bacteriophages comprising a therapeutic bacteriophage cocktail against S. aureus in order to optimize its composition. Two lytic bacteriophages vB_SauM-515A1 ( Myoviridae ) and vB_SauP-436A ( Podoviridae ) were isolated from the commercial therapeutic cocktail produced by Microgen (Russia). Host ranges of the phages were established on the panel of 75 S. aureus strains. Phage vB_SauM-515A1 lysed 85.3% and vB_SauP-436A lysed 68.0% of the strains, however, vB_SauP-436A was active against four strains resistant to vB_SauM-515A1, as well as to the therapeutic cocktail per se. Suboptimal results of the therapeutic cocktail application were due to extremely low vB_SauP-436A1 content in this composition. Optimization of the phage titers led to an increase in overall cocktail efficiency. Thus, one of the effective ways to optimize the phage cocktails design was demonstrated and realized by using bacteriophages of different families and lytic spectra.

Tuberculosis, caused by Mycobacterium tuberculosis complex bacteria, remains one of the most pressing health problems. Despite the general trend towards reduction of the disease incidence rate, the situation remains extremely tense due to the distribution of the resistant forms. Most often, these strains emerge through the intra-host microevolution of the pathogen during treatment failure. In the present study, the focus was on three serial clinical isolates of Mycobacterium tuberculosis Beijing B0/W148 cluster from one patient with pulmonary tuberculosis, to evaluate their changes in metabolism during anti-tuberculosis therapy. Using whole genome sequencing (WGS), 9 polymorphisms were determined, which occurred in a stepwise or transient manner during treatment and were linked to the resistance (GyrA D94A; inhA t-8a) or virulence. The effect of the inhA t-8a mutation was confirmed on both proteomic and transcriptomic levels. Additionally, the amount of RpsL protein, which is a target of anti-tuberculosis drugs, was reduced. At the systemic level, profound changes in metabolism, linked to the evolution of the pathogen in the host and the effects of therapy, were documented. An overabundance of the FAS-II system proteins (HtdX, HtdY) and expression changes in the virulence factors have been observed at the RNA and protein levels.

Duplex scanning — informative and non-invasive method in diagnosis of pathology of brachiocephalic arteries in the presence of hypertonic disease. By the method of the ultrasound duplex scanning was estimated condition of the extracranial level of the carotid and vertebral arteries. There were observed 80 patients suffered from arterial hypertension. There was revealed the complex of structure and hemodynamic alterations of the brain vascular system with estimation of cerebrovascular reactivity.

The subject of this article is the technology of information warfare against Russia. The methodological basis of the research is the content analysis of scientific works on information wars and power relations. The object of information attacks against Russia are the ways to realize power, which include resources (human and material), a set of rules and regulations, remuneration and persuasion. As the examples from the modern press show, an imaginary or real information occasion aimed at one or more ways of realizing power precedes each information attack. The purpose of such attacks is to change the policy of the state (up to the change of the political regime), which meets the interests of western countries. The ideological background of information warfare technologies against Russia is such a manifestation of xenophobia as Russophobia.

ФеЙковые новоСтИ как ФеноМен СовРеМенноСтИАннотация.В статье рассматривается феномен фейковых новостей.Авторы представляют краткий обзор наиболее актуальной литературы по этой теме.В качестве методологической основы выбран сравнительно-аналитический и классификационный пути исследования.Современное цифровое общество вступает в эпоху постправды

The insertion sequence 6110 (IS6110) is the most studied transposable element in the Mycobacterium tuberculosis complex species. The element plays a significant role in genome plasticity of this important human pathogen, but still many causes and consequences of its transposition have not been fully studied. Here, we analyzed insertion sites for 902 Mycobacterium tuberculosis lineage 2 strains using whole-genome sequencing data. In total, 17,972 insertions were found, corresponding to 827 independent positions in the genome of the reference strain H37Rv. To trace the history of IS6110 expansion since proto-Beijing strains up to modern sublineages, we looked at the distribution of IS6110 across the genome-wide SNP-based phylogenetic tree. This analysis demonstrated a stepwise transposition of IS6110 that occurs by «copy-and-paste» mechanism. Additionally, we detected evolutionary-scale and sublineage-specific integration sites, which can be used for typing and for understanding the reasons for the success of the lineage. A significant part of such insertions affected the genes that are essential for the pathogen. Finally, we identified and confirmed deletions that occurred between differently oriented elements, which is uncommon for this family of insertion elements and appears to be another mechanism of genome variability.

Nowadays proteomics is one of the major instruments for editing and correcting annotation of genomic information. The correct genome annotation is necessary for omics studies of clinically relevant pathogens like Mycobacterium tuberculosis as well as for the progress in drug design and in silico biology. Here, we focused on the proteogenomic analysis of W-148 strain belonging to the Beijing B0/W148 cluster. This cluster, also known as a "successful" clone possesses unique pathogenic properties and has a unique genome organization. Taking into account high similarity of cluster strains at the genomic level we analyzed MS/MS dataset obtained for 63 clinical isolates of Beijing B0/W148. Based on H37Rv and W-148 annotations we identified 2546 proteins representing more than 60% of total proteome. A set of peptides (n = 404) specific for W-148 was found when compared with H37Rv. Start sites for 32 genes were corrected based on the combination of LC-MS/MS proteomic data with genomic six-frame translation. Additionally, we have shown the presence of peptides related to 10 genes earlier known as "pseudogenes". Significance: Mycobacterium tuberculosis is one of the most dangerous pathogens. Phylogenetically, it may be divided into major lineages and among them, lineage 2 (predominantly Beijing genotype) one of the most successful lineages with an increasing prevalence in the global population. At the same time, strains of the Beijing B0/W148 cluster, a "successful" clone of Mycobacterium tuberculosis possess even more interesting features. Only one complete genome of this cluster, W-148, present in the NCBI database (CP012090.1) and it demonstrates a number of significant differences from the well-known reference genome H37Rv. For the W-148 strain many genes are annotated as "pseudo" and no attempts were made to correct this. Thereby, in this study, we have conducted a proteomic analysis of the cluster strains and corrected current genome annotation. We hope that the data obtained will help to increase the quality of identifications in proteomic and transcriptomic analysis of M. tuberculosis Beijing B0/W148 cluster strain in subsequent studies.

Background: Genomes of eukaryotes are inhabited by myriads of mobile genetic elements (MGEs) - transposons and retrotransposons - which play a great role in genome plasticity and evolution. A lot of computational tools were developed to annotate them either in genomic assemblies or raw reads using de novo or homology-based approaches. But there has been no pipeline enabling users to get coding and flanking sequences of MGEs suitable for a downstream analysis from genome assemblies. Results: We developed a new pipeline, MGERT (Mobile Genetic Elements Retrieving Tool), that automates all the steps necessary to obtain protein-coding sequences of mobile genetic elements from genomic assemblies even if no previous knowledge on MGE content of a particular genome is available. Conclusions: Using MGERT, researchers can easily find MGEs, their coding and flanking sequences in the genome of interest. Thus, this pipeline helps researchers to focus on the biological analysis of MGEs rather than excessive scripting and pipelining.

TERT.faa Telomerase RT sequence data from Arkhipova, 2006 (FAA 8 kb)

Mycobacterium tuberculosis Beijing genotype strains comprise 5080% in Russian Federation, which are divided into the main B0/W148, CladeA, and CAO clusters based on VNTR and SNP analysis. It should be noted that such phylogenetically highly close MTB strains belong to the modern Beijing family, generally demonstrating high transmissibility, association with drug resistance, and prevalence among patients with severe forms of the disease. However, studies on MTB genetic cluster strain-related virulence are scarce and contradictory. Here, we investigated virulence of diverse Mycobacterium tuberculosis strains belonging to the B0/W148, CladeA and CAO clusters and nonclustered strain NK of the Beijing family as well as laboratory strain H37Rv in C57BL/6 mice. It was found that mice infected with NK and B0/W148 vs. CladeA strains revealed the peak and the lowest mortality, respectively, while assessing survival rate in various groups (20 mice per MTB strain examined). Analyzing experimental data in mice demonstrated that all MTB strains were able to cause typical tuberculosis-related pathogenic signs. In particular, time-dependent evaluation of pathological changes (on 1, 3, 7, 14, 21, 28, 60 and 120 day post infection) in the lungs and spleen revealed significant differences among various strains. Tuberculosis progression was observed in the mice infected with B0/W148 and NK strains, whereas CladeA, CAO and H37Rv strains resulted in stabilized course and less marked organs damage. Moreover, we found that bacterial load after infection with Beijing family clustering strains was lower compared to that of the reference H37Rv strain, except NK strain demonstrating the peak bacterial load among the Beijing family comparable to H37Rv strain at 120 dpi. Thus, it was found that the level of virulence between most virulent B0/W148 cluster strain vs. NK strain was similar. Overall, the data obtained indicate that Beijing genotype strains are characterized by a diverse range of phenotypic virulence in vivo.

Mycobacterium tuberculosis Beijing B0/W148 is one of the most widely distributed clusters in the Russian Federation and in some countries of the former Soviet Union. Recent studies have improved our understanding of the reasons for the "success" of the cluster but this area remains incompletely studied. Here, we focused on the system omics analysis of the RUS_B0 strain belonging to the Beijing B0/W148 cluster. Completed genome sequence of RUS_B0 (CP020093.1) and a collection of WGS for 394 cluster strains were used to describe the main genetic features of the population. In turn, proteome and transcriptome studies allowed to confirm the genomic data and to identify a number of finds that have not previously been described. Our results demonstrated that expression of the whiB6 which contains cluster-specific polymorphism (a151c) increased almost 40 times in RUS_B0. Additionally, the level of ethA transcripts in RUS_B0 was increased by more than 7 times compared to the H37Rv. Start sites for 10 genes were corrected based on the combination of proteomic and transcriptomic data. Additionally, based on the omics approach, we identified 5 new genes. In summary, our analysis allowed us to summarize the available results and also to obtain fundamentally new data.

Central Asia Outbreak (CAO) clade is a branch of the Mycobacterium tuberculosis Beijing genotype that is associated with multidrug-resistance, increased transmissibility and epidemic spread in parts of the former Soviet Union. Furthermore, migration flows bring these strains far beyond their areas of origin. We aimed to find a specific molecular marker of the Beijing CAO clade and develop a simple and affordable method of its detection. Based on the bioinformatics analysis of the large M. tuberculosis whole-genome sequencing (WGS) dataset (n=1398), we identified IS 6110 insertion in the Rv1359 - Rv1360 intergenic region as a specific molecular marker of the CAO clade. We further designed and optimized a multiplex PCR method to detect this insertion. The method was validated in silico with recently published WGS dataset from Central Asia (n=277) and experimentally, with M. tuberculosis isolates from European and Asian parts of Russia, former Soviet Union and East Asia (n=319). The developed molecular assay may be recommended for rapid screening of retrospective collections and for prospective surveillance, when comprehensive but expensive WGS is not available or practical. The assay may be especially useful in the high MDR-TB burden countries of the former Soviet Union and in the countries with respective immigrant communities.