Dr Danesh Moradigaravand

Dr Danesh Moradigaravand

Institute of Cancer and Genomic Sciences
Lecturer and Group Leader

Contact details

Address
Centre for Computational Biology
Institute of Cancer and Genomic Sciences
Haworth Building (Y2)
University of Birmingham
Edgbaston
Birmingham B15 2TT

Dr Moradigaravand graduated with a PhD in Theoretical Biology from the Federal Institute of Technology in Zurich in 2014. He became a Lecturer in Bioinformatics and Computational Biology at the University of Birmingham in 2018. Prior to this position, he was a Senior Bioinformatician and Research Fellow at the Welcome Sanger Institute. Dr Moradigaravand’s research aims to provide a better understanding of evolutionary dynamics of bacterial populations. To this end, he develops theoretical evolutionary genetics models and computational frameworks and conducts genomic data analyses by taking a machine learning approach. In particular, the focus is on the evolution of antibiotic resistance in pathogens in clinical and non-clinical settings.

Qualifications

  • PhD in Theoretical Biology, Federal Institute of Technology in Zürich (ETHZ), 2014
  • MSc in Molecular Biology, International Max Planck Research Schools in Göttingen (IMPRS), 2011
  • MSc in Molecular Biotechnology, University of Tehran (Iran), 2009

Research

Dr Moradigaravand utilizes whole genome sequencing to reconstruct recent population histories for major pathogens at a fine resolution. He then uses these histories to establish the rate of the spread of antibiotic resistance for important emerging pathogens, and scrutinize evolutionary dynamics. This aims to provide insights into genomic antibiotic resistance determinants, recent epidemiology, and the extensive dissemination of antibiotic resistance genes via horizontal gene transfer across different hosts and settings. Furthermore, the research highlights evolutionary and epidemiological links between pathogens residing within-host and those occupying environmental niches. 

The other research interest is to understand the genotype-phenotype relationship that determines antibiotic resistance and make use of this information to develop theoretical models that predict bacterial phenotype from genotype. In particular, Dr Moradigaravand will utilize this information to establish and validate a mathematical framework for predicting antibiotic resistance and horizontal transmission phenotypes from genome, transcriptome and proteome.

Publications

Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences D. Moradigaravand, M. Palm, A. Farewell, V. Mustonen, Leopold Parts  PloS Computational Biology 

Within-host evolution of Enterococcus faecium during longitudinal carriage and transition to bloodstream infection in immunocompromised patients. D. Moradigaravand, T. Gouliouris, B. Blane, P. Naydenova, C. Ludden, C. Crawley, NM. Brown, M. E. Török, J. Parkhill, S. J. Peacock. Genome Medicine 9(1), 119 – 2017  

Evolution of the Staphylococcus argenteus ST2250 clone in Northeastern Thailand is linked with the acquisition of livestock-associated Staphylococcal genes. D. Moradigaravand, D. Jamrozy, R. Mostowy, A. Anderson, EK. Nickerson, J. Thaipadungpanit, V. Wuthiekanun, D. Limmathurotsakul, S. Tandhavanant, C. Wikraiphat, G. Wongsuvane, N. Teerawattanasook, Y. Jutrakul, N. Srisurat, P. Chaimanee, T. E. West, B. Blane, J. Parkhill, N. Chantratita, S. J. Peacock MBio 8(4) – 2017

Evolution and epidemiology of multidrug resistant Klebsiella pneumoniae in the UK and Ireland. D. Moradigaravand, V. Martin, S. J. Peacock, J. Parkhill MBio 8(1) – 2017

The dissemination of multidrug-resistant Enterobacter cloacae throughout the UK and Ireland. D. Moradigaravand, S. Reuter, V. Martin, S. J. Peacock, J. Parkhill Nature Microbiology 1, 16173 – 2016 

Recent independent emergence of multiple multidrug-resistant Serratia marcescens clones within the United Kingdom and Ireland. D. Moradigaravand, CJ. Boinett, V. Martin, S. J. Peacock, J. Parkhill Genome Research 26 (8), 1101-1109 – 2016

Recombination accelerates adaptation on a large-scale empirical fitness landscape in HIV-1D. Moradigaravand, R. Kouyos, T. Hinkley, M. Haddad, CJ. Petropoulos, J. Engelstädter, S. Bonhoeffer PLoS Genetics 10 (6), e1004439 – 2014 

The evolution of natural competence: disentangling costs and benefits of sex in bacteria. D. Moradigaravand, J. Engelstädter The American Naturalist 182 (4), E112-E126 – 2013

View all publications in research portal