Publications by authors named "Dudas G"

Pakistan has experienced a total of six COVID-19 waves throughout the pandemic, each driven by distinct SARS-CoV-2 lineages. This study explores the introduction of Omicron lineage BA.4 into Pakistan, which contributed to the sixth wave between June and September 2022.

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In Bayesian phylogenetic and phylodynamic studies it is common to summarise the posterior distribution of trees with a time-calibrated consensus phylogeny. While the maximum clade credibility (MCC) tree is often used for this purpose, we here show that a novel consensus tree method - the highest independent posterior subtree reconstruction, or HIPSTR - contains consistently higher supported clades over MCC. We also provide faster computational routines for estimating both consensus trees in an updated version of TreeAnnotator X, an open-source software program that summarizes the information from a sample of trees and returns many helpful statistics such as individual clade credibilities contained in the consensus tree.

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Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the posterior distribution. These algorithms require careful evaluation of the quality of the generated samples. Within the field of phylogenetics, one frequently adopted diagnostic approach is to evaluate the and to investigate trace graphs of the sampled parameters.

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Article Synopsis
  • The study focuses on SARS-CoV-2 lineage B.1.214.2, identified in Belgium in January 2021, which has a mutation that may affect its transmissibility and immune evasion, similar to the Omicron variant.
  • This variant spread significantly in Central Africa and Europe, with its origin traced back to the Republic of the Congo, and its transmission correlated with human travel patterns.
  • In Belgian nursing homes, the variant led to moderately severe outcomes, and unique immune responses in elderly patients suggest a need for targeted nasal vaccine strategies against emerging variants.
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Influenza A viruses have caused more documented global pandemics in human history than any other pathogen. High pathogenicity avian influenza viruses belonging to the H5N1 subtype are a leading pandemic risk. Two decades after H5N1 'bird flu' became established in poultry in Southeast Asia, its descendants have resurged, setting off a H5N1 panzootic in wild birds that is fuelled by: (1) rapid intercontinental spread, reaching South America and Antarctica for the first time; (2) fast evolution via genomic reassortment; and (3) frequent spillover into terrestrial and marine mammals.

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Modern phylogenetics research is often performed within a Bayesian framework, using sampling algorithms such as Markov chain Monte Carlo (MCMC) to approximate the posterior distribution. These algorithms require careful evaluation of the quality of the generated samples. Within the field of phylogenetics, one frequently adopted diagnostic approach is to evaluate the (ESS) and to investigate trace graphs of the sampled parameters.

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Background: Genome streamlining, the process by which genomes become smaller and encode fewer genes over time, is a common phenomenon among pathogenic bacteria. This reduction is driven by selection for minimized energy expenditure in a nutrient-rich environment. As pathogens evolve to become more reliant on the host, metabolic genes and resulting capabilities are lost in favor of siphoning metabolites from the host.

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The number of known virus species has increased dramatically through metagenomic studies, which search genetic material sampled from a host for non-host genes. Here, we focus on an important viral family that includes influenza viruses, the , with over 100 recently discovered viruses infecting hosts from humans to fish. We find that one virus called Wǔhàn mosquito virus 6, discovered in mosquitoes in China, has spread across the globe very recently.

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Phylodynamics is a set of population genetics tools that aim at reconstructing demographic history of a population based on molecular sequences of individuals sampled from the population of interest. One important task in phylodynamics is to estimate changes in (effective) population size. When applied to infectious disease sequences such estimation of population size trajectories can provide information about changes in the number of infections.

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Objectives: The origin and spread of dengue virus (DENV) circulating in Africa remain poorly characterized, with African sequences representing <1% of global sequence data.

Methods: Whole genome sequencing was performed on serum samples (n = 29) from an undifferentiated fever study in 2016 in the Democratic Republic of Congo (DRC), and from febrile travelers returning from Africa. The evolutionary history of the newly acquired African DENV-1 (n = 1) and cosmopolitan genotype DENV-2 (n = 18) genomes was reconstructed using a phylogeographic, time-scaled Bayesian analysis on a curated DENV panel including all known African sequences.

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Genomic sequencing is essential to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments, vaccines, and guide public health responses. To investigate the global SARS-CoV-2 genomic surveillance, we used sequences shared via GISAID to estimate the impact of sequencing intensity and turnaround times on variant detection in 189 countries. In the first two years of the pandemic, 78% of high-income countries sequenced >0.

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Lassa fever is a severe viral hemorrhagic fever caused by a zoonotic virus that repeatedly spills over to humans from its rodent reservoirs. It is currently not known how climate and land use changes could affect the endemic area of this virus, currently limited to parts of West Africa. By exploring the environmental data associated with virus occurrence using ecological niche modelling, we show how temperature, precipitation and the presence of pastures determine ecological suitability for virus circulation.

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Introduction: As of early 2022, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic still represents a worldwide medical emergency situation. The ongoing vaccination programs can slow down the spread of the virus; however, from time to time, the newly emerging variants of concern and antivaccination movements carry the possibility for the disease to remain in our daily lives. After the appearance of SARS-CoV-2, there was scholarly debate whether the virus was of natural origin, or it emerged from a laboratory, some even thinking the agent's potential biological weapon properties suggest the latter scenario.

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Background: Lower respiratory tract infections (LRTI) are a leading cause of critical illness and mortality in mechanically ventilated children; however, the pathogenic microbes frequently remain unknown. We combined traditional diagnostics with metagenomic next generation sequencing (mNGS) to evaluate the cause of LRTI in critically ill children.

Methods: We conducted a prospective, multicentre cohort study of critically ill children aged 31 days to 17 years with respiratory failure requiring mechanical ventilation (>72 h) in the USA.

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Some filoviruses can be transmitted to humans by zoonotic spillover events from their natural host and filovirus outbreaks have occured with increasing frequency in the last years. The filovirus Lloviu virus (LLOV), was identified in 2002 in Schreiber's bats (Miniopterus schreibersii) in Spain and was subsequently detected in bats in Hungary. Here we isolate infectious LLOV from the blood of a live sampled Schreiber's bat in Hungary.

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In spring 2021, an increasing number of infections was observed caused by the hitherto rarely described SARS-CoV-2 variant A.27 in south-west Germany. From December 2020 to June 2021 this lineage has been detected in 31 countries.

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Article Synopsis
  • Distinct SARS-CoV-2 lineage B.1.620 was identified in Lithuania, featuring multiple mutations in the spike protein commonly found in concerning variants like E484K and S477N.
  • The study highlights the lineage's potential resistance to neutralizing antibodies and documents local instances of transmission in Europe, particularly in Lithuania.
  • Evidence suggests that B.1.620 likely originated in Central Africa, supported by advanced phylogeographic methods and travel history data from infected individuals.
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The global increase in species richness toward the tropics across continents and taxonomic groups, referred to as the latitudinal diversity gradient, stimulated the formulation of many hypotheses to explain the underlying mechanisms of this pattern. We evaluate several of these hypotheses to explain spatial diversity patterns in a butterfly family, the Nymphalidae, by assessing the contributions of speciation, extinction, and dispersal, and also the extent to which these processes differ among regions at the same latitude. We generate a time-calibrated phylogeny containing 2,866 nymphalid species (~45% of extant diversity).

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A reliable surveillance strategy of tick-borne encephalitis virus (TBEV) is necessary to ensure adequate disease control measures. However, current approaches assessing geographical TBEV circulation are ineffective or have significant limitations. In this study we investigated a total of 1363 goat and 312 sheep bulk tank milk samples for the presence of TBEV.

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Article Synopsis
  • The COVID-19 epidemic in the U.S. went largely unnoticed due to a lack of testing, with New Orleans experiencing one of the earliest outbreaks during Mardi Gras.
  • Researchers sequenced SARS-CoV-2 genomes in Louisiana and found that the virus had limited diversity, indicating a single introduction led to most early cases.
  • The study revealed that SARS-CoV-2 was likely present in New Orleans before Mardi Gras, and the event significantly contributed to the rapid spread of the virus, highlighting the impact of large gatherings on epidemics.
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Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.

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The food industry is estimated to be the second biggest generator of food losses after households. The novelty of this paper is that it focuses on this less analysed sector, conducting exploratory research based on a detailed primary survey among Hungarian food processors with a uniquely large sample of 175 respondents. A SPSS program was used to analyse the data, generating descriptive statistics, statistical tests for exploring relationships between variables and cluster analysis for classifying respondents based on their attitudes towards the problem.

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More than a year after the first identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as the causative agent of the 2019 coronavirus disease (COVID-19) in China, the emergence and spread of genomic variants of this virus through travel raise concerns regarding the introduction of lineages in previously unaffected regions, requiring adequate containment strategies. Concomitantly, such introductions fuel worries about a possible increase in transmissibility and disease severity, as well as a possible decrease in vaccine efficacy. Military personnel are frequently deployed on missions around the world.

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Anelloviruses are a ubiquitous component of healthy human viromes and remain highly prevalent after being acquired early in life. The full extent of "anellome" diversity and its evolutionary dynamics remain unexplored. We employed in-depth sequencing of blood-transfusion donor(s)-recipient pairs coupled with public genomic resources for a large-scale assembly of anellovirus genomes and used the data to characterize global and personal anellovirus diversity through time.

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