Author

G. Dudas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 4 Evolutionary Biology· 3 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:ecology & biodiversity· 4 Assay:whole-genome sequencing· 4 Assay:metagenomics· 3 Approach:Bayesian inference· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Organism:human· 2

Frequent Co-Authors

A. Nagy· 2 shared C. I. Pereszlenyi· 2 shared F. Jakab· 2 shared G. E. Toth· 2 shared G. Kemenesi· 2 shared J. Batson· 2 shared S. Zeghbib· 2 shared T. Stadler· 2 shared

Activity by Year

2018-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMicrobiology

A. Nagy

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Accumulated metagenomic studies reveal recent migration, whole genome evolution, and undiscovered diversity of orthomyxoviruses

G. Dudas, J. Batson

The paper uses metagenomic data to study the migration, evolution, and diversity of orthomyxoviruses, finding recent global spread and antigenic evolution in W[u]han mosquito virus 6.

bioRxiv · Aug 31, 2022Evolutionary Biology

Predicting the evolution of Lassa Virus endemic area and population at risk over the next decades

R. Klitting, L. E. Kafetzopoulou, W. Thiery, G. Dudas, S. Gryseels, A. Kotamarthi, B. Vrancken, K. Gangavarapu, M. Momoh, J. Demby Sandy, A. Goba, F. Alhasan, D. S. Grant, R. F. Garry, A. R. Smither, , S. Dellicour

The paper predicts that Lassa virus endemic areas will expand beyond West Africa due to environmental changes, increasing the population at risk from 100 million to 700 million by 2070.

bioRxiv · Sep 22, 2021Microbiology

Reservoir host studies of Lloviu virus: first isolation, sequencing and serology in Schreiber's bats in Europe

G. Kemenesi, G. E. Toth, M. Mayora-Neto, S. Scott, N. Temperton, E. Wright, E. Muhlberger, A. J. Hume, B. Zana, S. A. Boldogh, T. Gorfol, P. Estok, Z. Lanszki, B. A. Somogyi, A. Nagy, , F. Jakab

This study isolates and characterizes Lloviu virus from Schreiber's bats in Europe, showing its ability to infect human and monkey cells and suggesting potential spillover risks.

bioRxiv · Aug 10, 2021Microbiology

Multiple SARS-CoV-2 introductions shaped the early outbreak in Central Eastern Europe: comparing Hungarian data to a worldwide sequence data-matrix

G. Kemenesi, S. Zeghbib, B. Somogyi, G. E. Toth, K. Banyai, N. Solymosi, P. M. Szabo, I. Szabo, A. Balint, P. Urban, R. Herczeg, A. Gyenesei, A. Nagy, C. I. Pereszlenyi, G. Babinszky, , F. Jakab

The paper analyzes SARS-CoV-2 genomic data from Hungary to identify multiple introduction events into Central-Eastern Europe using haplotype networks and phylogenetic analysis.

bioRxiv · May 6, 2020Microbiology

The latitudinal diversity gradient in brush-footed butterflies (Nymphalidae): conserved ancestral tropical niche but different continental histories.

N. Chazot, F. Condamine, G. Dudas, C. Pena, P. Matos-Maravi, A. V. Freitas, K. R. Willmott, M. Elias, A. Warren, K. Aduse-Poku, D. J. Lohman, C. M. Penz, P. DeVries, U. Kodandaramaiah, Z. F. Fric, , N. Wahlberg

This study evaluates hypotheses for the latitudinal diversity gradient in Nymphalidae butterflies, finding that low extinction rates and historical dispersal patterns, rather than speciation rates, explain diversity patterns.

bioRxiv · Apr 16, 2020Ecology

Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay

J. Batson, A. Kistler, G. Dudas, L. Li, K. Ratnasari, E. Haas-Stapleton, P. Logan, H. Retallack

This study uses single mosquito metatranscriptomics to identify vectors, emerging pathogens, and reservoirs in one assay, detecting known and novel viruses and linking pathogens to blood meal sources.

bioRxiv · Feb 10, 2020Microbiology

Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses

N. F. Müller, U. Stolz, G. Dudas, T. Stadler, T. Vaughan

This study uses Bayesian inference to analyze reassortment networks in human influenza viruses, finding that reassortment events occur more frequently on fitter parts of the network.

bioRxiv · Aug 6, 2019Evolutionary Biology

Inferring time-dependent migration and coalescence patterns from genetic sequence and predictor data in structured populations

N. F. Mueller, G. Dudas, T. Stadler

The paper introduces a method to infer time-dependent migration and coalescence patterns in structured populations using predictors and applies it to Ebola virus data.

bioRxiv · Jun 14, 2018Evolutionary Biology