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Frank, unsparing, and varied stories by women in their twenties and thirties reveal the evolution of women's consciousness in Russia through two decades of violent social upheaval-- including the dramatic monologue of a teenage girl who grew up in an orphanage; an escape to the Altai Mountains and the mysterious local rites and lore; the seamy side of Siberian business and a young man's failure to get to grips with it; the tricky backstage life of a provincial theater; the private life of a wealthy family which mirrors the social stratification in Russian society today.

Phylodynamics bridges the gap between classical epidemiology and pathogen genome sequence data by estimating epidemiological parameters from time-scaled pathogen phylogenetic trees. The models used in phylodynamics typically assume that the sampling procedure is independent between infected individuals. However, this assumption does not hold for many epidemics, in particular for such sexually transmitted infections as HIV-1, for which contact tracing schemes are included in health policies of many countries. We extended phylodynamic multi-type birth-death (MTBD) models with contact tracing (CT), and developed a simulator to generate trees under MTBD and MTBD-CT models. We proposed a non-parametric test for detecting contact tracing in pathogen phylogenetic trees. Its application to simulated data showed that it is both highly specific and sensitive. For the simplest representative of the MTBD-CT family, the BD-CT(1) model, where only the last contact can be notified, we solved the differential equations and proposed a closed form solution for the likelihood function. We implemented a maximum-likelihood program, which estimates the BD-CT(1) model parameters and their confidence intervals from phylogenetic trees. It performed accurate parameter inference on BD and BD-CT(1) simulated data, and detected contact tracing in HIV-1 B epidemics in Zurich and the UK. Importantly, we showed that not accounting for contact tracing when it is present, leads to bias in parameter estimation with the BD model (overestimation of the becoming-non-infectious rate). This bias is also present, but greatly reduced, when the BD-CT(1) model is used on data where multiple contacts can be notified. Our CT test, MTBD-CT tree simulator and BD-CT(1) parameter estimator are freely available at GitHub (evolbioinfo/treesimulator and evolbioinfo/bdct).

Despite the rapid growth in viral genome sequencing, statistical methods face challenges in handling historical viral endemic diseases with large amounts of underutilized partial sequence data. We propose a phylogenetic pipeline that harnesses both full and partial viral genome sequences to investigate historical pathogen spread between countries. Its application to rabies virus (RABV) yields precise dating and confident estimates of its geographic dispersal. By using full genomes and partial sequences, we reduce both geographic and genetic biases that often hinder studies that focus on specific genes. Our pipeline reveals an emergence of the present canine-mediated RABV between years 1301 and 1403 and reveals regional introductions over a 700-year period. This geographic reconstruction enables us to locate episodes of human-mediated introductions of RABV and examine the role that European colonization played in its spread. Our approach enables phylogeographic analysis of large and genetically diverse data sets for many viral pathogens. Although pathogen whole genome sequencing is becoming more common, for many pathogens far more partial sequences are available. In this study, the authors develop a phylogenetic pipeline to efficiently combine whole and partial viral genome sequences and demonstrate its application using rabies virus sequences.

A deeper understanding of HIV-1 transmission and drug resistance mechanisms can lead to improvements in current treatment policies. However, the rates at which HIV-1 drug resistance mutations (DRMs) are acquired and which transmitted DRMs persist are multi-factorial and vary considerably between different mutations. We develop a method for the estimation of drug resistance acquisition and transmission patterns. The method uses maximum likelihood ancestral character reconstruction informed by treatment roll-out dates and allows for the analysis of very large datasets. We apply our method to transmission trees reconstructed on the data obtained from the UK HIV Drug Resistance Database to make predictions for known DRMs. Our results show important differences between DRMs, in particular between polymorphic and non-polymorphic DRMs and between the B and C subtypes. Our estimates of reversion times, based on a very large number of sequences, are compatible but more accurate than those already available in the literature, with narrower confidence intervals. We consistently find that large resistance clusters are associated with polymorphic DRMs and DRMs with long loss times, which require special surveillance. As in other high-income countries (e.g., Switzerland), the prevalence of sequences with DRMs is decreasing, but among these, the fraction of transmitted resistance is clearly increasing compared to the fraction of acquired resistance mutations. All this indicates that efforts to monitor these mutations and the emergence of resistance clusters in the population must be maintained in the long term.

Several coronaviruses infect humans, with three, including the SARS-CoV2, causing diseases. While coronaviruses are especially prone to induce pandemics, we know little about their evolutionary history, host-to-host transmissions, and biogeography. One of the difficulties lies in dating the origination of the family, a particularly challenging task for RNA viruses in general. Previous cophylogenetic tests of virus-host associations, including in the Coronaviridae family, have suggested a virus-host codiversification history stretching many millions of years. Here, we establish a framework for robustly testing scenarios of ancient origination and codiversification versus recent origination and diversification by host switches. Applied to coronaviruses and their mammalian hosts, our results support a scenario of recent origination of coronaviruses in bats and diversification by host switches, with preferential host switches within mammalian orders. Hotspots of coronavirus diversity, concentrated in East Asia and Europe, are consistent with this scenario of relatively recent origination and localized host switches. Spillovers from bats to other species are rare, but have the highest probability to be towards humans than to any other mammal species, implicating humans as the evolutionary intermediate host. The high host-switching rates within orders, as well as between humans, domesticated mammals, and non-flying wild mammals, indicates the potential for rapid additional spreading of coronaviruses across the world. Our results suggest that the evolutionary history of extant mammalian coronaviruses is recent, and that cases of long-term virus–host codiversification have been largely over-estimated. The SARS-CoV-2 virus, which caused the recent global coronavirus pandemic, is the latest in a string of coronaviruses that have caused serious outbreaks. This group of coronaviruses can also infect other mammals and likely jumped between species – including from non-humans to humans – over the course of evolution. Determining when and how viruses evolved to infect humans can help scientists predict and prevent outbreaks. However, tracking the evolutionary trajectory of coronaviruses is challenging, and there are conflicting views on how often coronaviruses crossed between species and when these transitions likely occurred. Some studies suggest that coronaviruses originated early on in evolution and evolved together with their mammalian hosts, only occasionally jumping to and from different species. While others suggest they appeared more recently, and rapidly diversified by regularly transferring between species. To determine which is the most likely scenario, Maestri, Perez-Lamarque et al. developed a computational approach using already available data on the genetics and evolutionary history of mammals and coronaviruses. This revealed that coronaviruses originated recently in bats from East Asia and Europe, and primarily evolved by rapidly transferring between different mammalian species. This has led to geographical hotspots of diverse coronaviruses in East Asia and Europe. Maestri, Perez-Lamarque et al. found that it was rare for coronaviruses to spill over from bats to other types of mammals. Most of these spillovers resulted from coronaviruses jumping from bats to humans or domesticated animals. Humans appeared to be the main intermediary host that coronaviruses temporarily infected as they transferred from bats to other mammals. These findings – that coronaviruses emerged recently in evolution, jumped relatively frequently between species, and are geographically restricted – suggest that future transmissions are likely. Gathering more coronavirus samples from across the world and using even more powerful analysis tools could help scientists understand more about how these viruses recently evolved. These insights may lead to strategies for preventing new coronaviruses from emerging and spreading among humans.

Cells are unceasingly confronted by oxidative stresses that oxidize proteins on their cysteines. The thioredoxin (Trx) system, which is a ubiquitous system for thiol and protein repair, is composed of a thioredoxin (TrxA) and a thioredoxin reductase (TrxB). TrxAs reduce disulfide bonds of oxidized proteins and are then usually recycled by a single pleiotropic NAD(P)H-dependent TrxB (NTR). In this work, we first analyzed the composition of Trx systems across Bacteria. Most bacteria have only one NTR, but organisms in some Phyla have several TrxBs. In Firmicutes, multiple TrxBs are observed only in Clostridia, with another peculiarity being the existence of ferredoxin-dependent TrxBs. We used Clostridioides difficile , a pathogenic sporulating anaerobic Firmicutes, as a model to investigate the biological relevance of TrxB multiplicity. Three TrxAs and three TrxBs are present in the 630Δ erm strain. We showed that two systems are involved in the response to infection-related stresses, allowing the survival of vegetative cells exposed to oxygen, inflammation-related molecules and bile salts. A fourth TrxB copy present in some strains also contributes to the stress-response arsenal. One of the conserved stress-response Trx system was found to be present both in vegetative cells and in the spores and is under a dual transcriptional control by vegetative cell and sporulation sigma factors. This Trx system contributes to spore survival to hypochlorite and ensure proper germination in the presence of oxygen. Finally, we found that the third Trx system contributes to sporulation through the recycling of the glycine-reductase, a Stickland pathway enzyme that allows the consumption of glycine and contributes to sporulation. Altogether, we showed that Trx systems are produced under the control of various regulatory signals and respond to different regulatory networks. The multiplicity of Trx systems and the diversity of TrxBs most likely meet specific needs of Clostridia in adaptation to strong stress exposure, sporulation and Stickland pathways.

For the first time, two groups of iron-containing zeolites (MFI type) of general compositions (H x )[Fe x 3+ Si 12− x 4+ O 24 ] (FeHZSM-5, module Si/Fe = 34; hydrothermal method) and Fe 2 O 3 /(H x )[Al 3+ x Si 4+ 12− x O 24 ] ×  w H 2 O with the Fe 2 O 3 polycrystalline initial content 10, 35, 50 wt%. (Fe 2 O 3 /AlHZSM-5, Si/Al = 12, 25, 40; precipitation from the solutions and gas phase) were synthesized and studied. It was found (XRD, EXAFS/XANES, XPS, FTIR spectroscopies) that FeHZSM-5 and Fe 2 O 3 /AlHZSM-5 differ in surface compositions, the oxygen environment around Fe 3+ ions, and the iron oxide state. Amorphous or nanocrystallized iron oxide phases uniformly distributed over the zeolite particles surface with the formation of Fe–O–H–O–Si(Al) bonds. In the reaction of ethanol, propane, and N 2 O conversion composites, Fe 2 O 3 /AlHZSM-5 are more active than FeHZSM-5 in the low-temperature region. The conversion degree of ethanol, propane, and N 2 O is suppressed with an increase in the zeolite module Si/Al, the initial Fe 2 O 3 content, and when replacing nanosized Fe 2 O 3 with the amorphous one in the composites. Graphical abstract

For the first time the neutron diffraction study of HZSM-5 zeolites with the general composition of (H 1+ x )[Al 3+ x Si 4+ 12-x O 24 ] × wH 2 O in the orthorhombic approximation (sp. gr. Pnma, z = 8) and initial silicate modules Si/Al = 12, 25, 40 was carried out. As a result, the composition was refined, the distribution of Al 3+ ions over the tetrahedral sites ( T sites) of the structure was found, and their content in each of them was estimated. It was found that T sites occupation in HZSM-5 structure differ depending on Si/Al, while samples with the same silicate module (Si/Al = 40) obtained under different synthesis conditions differ in the distribution of Al 3+ ions over T sites of the structure. It was shown that the calculation of HZSM-5 zeolites crystal structure with substitutions in T sites performed using the VASP 5.2 program with different optimizations (atomic coordinates and unit cell parameters) can only reveal the most thermodynamically energetically favorable sites for Si 4+ atoms substitution with other atoms (aluminum and titanium) without predicting their content in each site and regardless zeolite synthesis conditions and type of substituent atom. The relationship between HZSM-5 zeolites catalytic properties and silicate module (Si/Al, Si/Ti) was found and it cannot be ruled out that HZSM-5 catalytic activity is related to Ti 4+ ions distribution over the tetrahedral sites of the structure. Graphical Abstract

The use of computational modeling to describe and analyze biological systems is at the heart of systems biology. Model structures, simulation descriptions and numerical results can be encoded in structured formats, but there is an increasing need to provide an additional semantic layer. Semantic information adds meaning to components of structured descriptions to help identify and interpret them unambiguously. Ontologies are one of the tools frequently used for this purpose. We describe here three ontologies created specifically to address the needs of the systems biology community. The Systems Biology Ontology (SBO) provides semantic information about the model components. The Kinetic Simulation Algorithm Ontology (KiSAO) supplies information about existing algorithms available for the simulation of systems biology models, their characterization and interrelationships. The Terminology for the Description of Dynamics (TEDDY) categorizes dynamical features of the simulation results and general systems behavior. The provision of semantic information extends a model's longevity and facilitates its reuse. It provides useful insight into the biology of modeled processes, and may be used to make informed decisions on subsequent simulation experiments. The use of computational modeling to describe and analyze biological systems is at the heart of systems biology. This Perspective discusses the development and use of ontologies that are designed to add semantic information to computational models and simulations.

Paratyphoid B fever (PTB) is caused by an invasive lineage (phylogroup 1, PG1) of Salmonella enterica serotype Paratyphi B (SPB). However, little was known about the global population structure, geographic distribution, and evolution of this pathogen. Here, we report a whole-genome analysis of 568 historical and contemporary SPB PG1 isolates, obtained globally, between 1898 and 2021. We show that this pathogen existed in the 13th century, subsequently diversifying into 11 lineages and 38 genotypes with strong phylogeographic patterns. Following its discovery in 1896, it circulated across Europe until the 1970s, after which it was mostly reimported into Europe from South America, the Middle East, South Asia, and North Africa. Antimicrobial resistance recently emerged in various genotypes of SPB PG1, mostly through mutations of the quinolone-resistance-determining regions of gyrA and gyrB . This study provides an unprecedented insight into SPB PG1 and essential genomic tools for identifying and tracking this pathogen, thereby facilitating the global genomic surveillance of PTB. Hawkey et al. provide insights into the spatio-temporal distribution and genetic diversity of Salmonella Paratyphi B — the agent of paratyphoid B fever — and report a genotyping scheme facilitating the international surveillance of this pathogen.