Genetic lineage characterization and spatiotemporal dynamics of the recently established Brevihamaparvovirus genus

Copyright © 2022 Elsevier B.V. All rights reserved.The analysis of the viruses allocated to the recently established Brevihamaparvovirus genus (Parvoviridae family), which includes all previously known brevidensoviruses, has not yet been carried out on an extensive basis. As a result, no detailed genetic lineage characterization has ever been performed for this group of insect-specific viruses. Using a wide range of molecular tools, we have explored this taxon by calculating Shannon entropy values, intra- and inter-taxon genetic distances, analysed sequence polymorphisms, and evaluated selective pressures acting on the viral genome. While the calculated Brevihamaparvovirus mutation rates were within the range of those of other parvoviruses, their genomes look to be under strong purifying selection, and are also characterized by low diversity and entropy. Furthermore, even though recombination events are quite common among parvoviruses, no evidence of recombination (either intra or intergenic) was found in the Brevihamaparvoviruses sequences analyzed. An extended taxonomic analysis and reevaluation of existing Brevihamaparvoviruses sequences, many still unclassified, was performed using cut-off values defining NS1 identity between viral sequences from the Parvovirus family. Two existing genetic lineages, Dipteran Brevihamaparvovirus 1 and Dipteran Brevihamaparvovirus 2, were rearranged and the creation of a new one, Dipteran Brevihamaparvovirus 3, was suggested. Finally, despite the uncertainties associated with both the time estimates of the most recent common ancestors, which could span from twenty thousand years before the current era to way earlier (in the last century), and the dispersal routes proposed for Brevihamaparvoviruses sequences by phylodynamic reconstruction, the analyses here presented could help define how future studies should be conducted as more isolates continue to be identified in the future, and contribute to eliminating possible analytical biases.publishersversionpublishe

Impact of hydrodynamics on iPSC-derived cardiomyocyte differentiation processes

Cardiomyocytes (CMs), derived from pluripotent stem cells (PSCs), have the potential to be used in cardiac repair. Addition of physical cues, such as electrical and mechanical stimulations, have proven to significantly effect morphology, density, cardiogenesis, maturity and functionality of differentiated CMs. This work combines rigorous fluid dynamics investigation and flow frequency analysis with iPSC differentiation experiments to identify and quantify the flow characteristics leading to a significant increase of differentiation yield. This is towards a better understanding of the physical relationship between frequency modulation and embryoid bodies suspension, and the development of dimensionless correlations applicable at larger scales. Laser Doppler Anemometry and Fast Fourier Transform analysis were used to identify characteristic flow frequencies under different agitation modes. Intermittent agitation resulted in a pattern of low intensity frequencies at reactor scale that could be controlled by varying three identified time components: rotational speed, interval and dwell times. A proof of concept biological study was undertaken, tuning the hydrodynamic environment through variation of dwell time based on the engineering study findings and a significant improvement in CM yield was obtained. This work introduces the concept of fine-tuning the physical hydrodynamic cues within a three-dimensional flow system to improve cardiomyocyte differentiation of iPSC

Readdressing the genetic diversity and taxonomy of the Mesoniviridae family, as well as its relationships with other nidoviruses and putative mesonivirus-like viral sequences

Copyright © 2022 Elsevier B.V. All rights reserved.Research on the recently established Mesoniviridae family (Order Nidovirales), RNA genome insect-specific viruses, has been steadily growing in the last decade. However, after the last detailed phylogenetic characterization of mesoniviruses in 2014, numerous new sequences, even in organisms other than mosquitos, have been identified and characterized. In this study, we analyzed nucleotide and protein sequences of mesoniviruses with a wide range of molecular tools including genetic distance, Shannon entropy, selective pressure analysis, polymorphism identification, principal coordinate analysis, likelihood mapping and phylodynamic reconstruction. We also sought to revaluate new mesoniviruses sequence positions within the family, proposing a taxonomic revision. The different sub-lineages of mosquito mesoniviruses sequences presented low sequence diversity and entropy, with incongruences to the existing taxonomy being found after an extensive phylogenetic characterization. High sequence discrepancy and differences in genome organization were found between mosquito mesoniviruses and other mesoniviruses, so their future classification, as other meso-like viruses that are found in other organisms, should be approached with caution. No evidence of frequent recombination was found, and mesonivirus genomes seem to evolve under strong purifying selection. Insufficient data by root-to-tip analysis did not yet allow for an adequate phylogeographic reconstruction.publishersversionpublishe

A Genomic Signature and the Identification of New Sporulation Genes

Bacterial endospores are the most resistant cell type known to humans, as they are able to withstand extremes of temperature, pressure, chemical injury, and time. They are also of interest because the endospore is the infective particle in a variety of human and livestock diseases. Endosporulation is characterized by the morphogenesis of an endospore within a mother cell. Based on the genes known to be involved in endosporulation in the model organism Bacillus subtilis, a conserved core of about 100 genes was derived, representing the minimal machinery for endosporulation. The core was used to define a genomic signature of about 50 genes that are able to distinguish endospore-forming organisms, based on complete genome sequences, and we show this 50-gene signature is robust against phylogenetic proximity and other artifacts. This signature includes previously uncharacterized genes that we can now show are important for sporulation in B. subtilis and/or are under developmental control, thus further validating this genomic signature. We also predict that a series of polyextremophylic organisms, as well as several gut bacteria, are able to form endospores, and we identified 3 new loci essential for sporulation in B. subtilis: ytaF, ylmC, and ylzA. In all, the results support the view that endosporulation likely evolved once, at the base of the Firmicutes phylum, and is unrelated to other bacterial cell differentiation programs and that this involved the evolution of new genes and functions, as well as the cooption of ancestral, housekeeping functions.FCT grant: (PEst-OE/EQB/LA0004/2011), FCT Ph.D. fellowship: (SFRH/BPD/36328/2007), FCT postdoc fellowship: (SFRH/BPD/65605/2009), Instituto Gulbenkian de Ciência research fellowship

Early reserve effects linked to small home ranges of a commercial fish, Diplodus sargus, Sparidae

Studies that combine both the ecological responses of marine species and protection measures with movement patterns and habitat use are of major importance in order to better understand the performance of marine protected areas (MPA) and how species respond to their implementation. However, few studies have assessed MPA performance by relating local individual movement patterns and the observed reserve effects. In this study, we combined acoustic telemetry with abundance estimates to study the early effects of a recently established small coastal MPA on the local populations of white seabream. The results show that even small, recently established coastal MPAs can increase the abundance and biomass of commercial fish species, provided that target species have small home ranges and exhibit high site fidelity

Decreasing population selection rates of resistance mutation K65R over time in HIV-1 patients receiving combination therapy including tenofovir

Objectives The use of tenofovir is highly associated with the emergence of mutation K65R, which confers broad resistance to nucleoside/nucleotide analogue reverse transcriptase inhibitors (NRTIs), especially when tenofovir is combined with other NRTIs also selecting for K65R. Although recent HIV-1 treatment guidelines discouraging these combinations resulted in reduced K65R selection with tenofovir, updated information on the impact of currently recommended regimens on the population selection rate of K65R is presently lacking. Methods In this study, we evaluated changes over time in the selection rate of resistance mutation K65R in a large population of 2736 HIV-1-infected patients failing combination antiretroviral treatment between 2002 and 2010. Results The K65R resistance mutation was detected in 144 patients, a prevalence of 5.3%. A large majority of observed K65R cases were explained by the use of tenofovir, reflecting its wide use in clinical practice. However, changing patterns over time in NRTIs accompanying tenofovir resulted in a persistent decreasing probability of K65R selection by tenofovir-based therapy. The currently recommended NRTI combination tenofovir/emtricitabine was associated with a low probability of K65R emergence. For any given dual NRTI combination including tenofovir, higher selection rates of K65R were consistently observed with a non-nucleoside reverse transcriptase inhibitor than with a protease inhibitor as the third agent. Discussion Our finding of a stable time trend of K65R despite elevated use of tenofovir illustrates increased potency of current HIV-1 therapy including tenofovi

inTB - a data integration platform for molecular and clinical epidemiological analysis of tuberculosis

This deposit is composed by the main article plus the supplementary materials of the publication.Tuberculosis is currently the second highest cause of death from infectious diseases worldwide. The emergence of multi and extensive drug resistance is threatening to make tuberculosis incurable. There is growing evidence that the genetic diversity of Mycobacterium tuberculosis may have important clinical consequences. Therefore, combining genetic, clinical and socio-demographic data is critical to understand the epidemiology of this infectious disease, and how virulence and other phenotypic traits evolve over time. This requires dedicated bioinformatics platforms, capable of integrating and enabling analyses of this heterogeneous data.Instituto Gulbenkian de Ciência, Programa Nacional de Luta contra a Tuberculose, Instituto Nacional de Saúde Ricardo Jorge, Administração Regional de Saúde de Lisboa e Vale do Tejo

Path: a tool to facilitate pathway-based genetic association analysis

Summary: Traditional methods of genetic study design and analysis work well under the scenario that a handful of single nucleotide polymorphisms (SNPs) independently contribute to the risk of disease. For complex diseases, susceptibility may be determined not by a single SNP, but rather a complex interplay between SNPs. For large studies involving hundreds of thousands of SNPs, a brute force search of all possible combinations of SNPs associated with disease is not only inefficient, but also results in a multiple testing paradigm, whereby larger and larger sample sizes are needed to maintain statistical power. Pathway-based methods are an example of one of the many approaches in identifying a subset of SNPs to test for interaction. To help determine which SNP–SNP interactions to test, we developed Path, a software application designed to help researchers interface their data with biological information from several bioinformatics resources. To this end, our application brings together currently available information from nine online bioinformatics resources including the National Center for Biotechnology Information (NCBI), Online Mendelian Inheritance in Man (OMIM), Kyoto Encyclopedia of Genes and Genomes (KEGG), UCSC Genome Browser, Seattle SNPs, PharmGKB, Genetic Association Database, the Single Nucleotide Polymorphism database (dbSNP) and the Innate Immune Database (IIDB)

A36 Prevalence of HIV-1 subtypes in Slovenia with an emphasis on molecular and phylogenetic investigation of subtype A

21st International BioInformatics Workshop on Virus Evolution and Molecular EpidemiologyIn Slovenia, a small country in Central Europe, less than 1 per 1,000 inhabitants are estimated to be infected with HIV-1. As in most of the Central and Western European countries, the majority of patients diagnosed with HIV-1 are infected with subtype B. However, due to migration, other subtypes can become more prevalent in the country. The aim of this study was to determine HIV-1 subtypes circulating in Slovenia and to further examine the molecular epidemiology of subtype A. A total of 367 Slovenian HIV-1 sequences were included in the study, representing 58% of all patients diagnosed in Slovenia until the end of the year 2013. Subtype was assigned by employing different HIV subtyping tools coupled with Maximum likelihood phylogenetic analysis. The latter was performed to examine the molecular epidemiology of subtype A as well. Identified clusters of Slovenian subtype A sequences were further analyzed for the determination of the time of the most recent common ancestor (tMRCA) by using Monte Carlo Markov chain (MCMC) method available in BEAST 2.1.3 software. We determined the prevalence of subtype B to be 85.3%, while subtype A was the most prevalent non-B subtype found in 18 patients (4.9%), followed by CRF02_AG (2.4%), subtype C (1.1%), subtypes D, G and CRF01_AE (0.8% each) and subtypes F1 and CRF22_01A1 (0.3% each). Subtypes could not be assigned to 12 sequences (3.3%). The phylogenetic tree obtained by ML analysis of the subtype A and subtype A related recombinants revealed that Slovenian sequences were part of 6 major international clusters. Two clusters consisting only of Slovenian sequences were identified and thus additional MCMC analysis was employed. Results of a Slovenian cluster of 4 subtype A sequences showed a posterior probability value of 1 and a tMRCA between the years 1985 and 2008, with a mean in the year 2001. In conclusion, in a Central European country, where subtype B predominates, the second most common subtype was found to be subtype A. Non-B subtypes were observed in one out of seven patients in Slovenia, a fraction that is not negligible, thus proving importance of surveillance of HIV subtype diversity and corresponding molecular epidemiology of non-B subtypes.publishersversionpublishe

The Sequence Alignment/Map format and SAMtools

Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments