Institute of Life Science 1 internal Atrium view up.jpg

Dr Remi Zallot

MSCA Fellow Researcher, Medicine

Telephone number

+44 (0) 1792 295838

Email address

Research Links

Open Plan Office - 529
Fifth Floor
Institute of Life Science 1
Singleton Campus
Available For Postgraduate Supervision


Dr Zallot interests lie in the discovery and characterization of genes, enzymes, and transporters of unknown function from microbes, with a particular focus on health improvement. 
His research is at the interface of bioinformatics, functional genomics, biochemistry, and microbiology.  
Even if powerful, the comparative genomics approach is not very well known, and thus underutilized. As a remedy, Dr Zallot is committed to its instruction, promotion and also continued development, looking for new ways to exploit the data publicly available to generate hypotheses that can be tested in the laboratory.  
Rémi Zallot obtained his Doctorate degree from Université de Bordeaux (France), worked at University of Florida (USA) and University of Illinois at Urbana-Champaign (USA) before joining Swansea University

Areas Of Expertise

  • Comparative genomics
  • Genomic enzymology
  • Genes of unknown function
  • Microbiology
  • Genetics
  • Biochemistry
  • Molecular biology

Career Highlights

Teaching Interests

Instruction of the comparative genomics and genomic enzymology approaches. 


Hypothesis driven research for the identification and characterization of functionally unknown genes, enzymes and transporters from microbes, with a particular focus on health improvement. 
In the recent years, it has become apparent that the rate of genomic data accumulation for microbes is far exceeding the rate of functional studies, leading to an increase in genomic “dark matter,” i.e., sequences for which no precise and/or validated function is defined. This genomic dark matter is concealing enzymes and pathways that needs to be discovered and understood: they have the potential to be new targets for health improvement. 

The comparative genomics approach is data-driven and consists in the examination of the information contained within the genomics and post-genomics databases to generate hypotheses regarding the function of unknown genes, enzymes and transporters. It relies on the guilt by association principle, where various types of association evidence between known and unknown genes allow to deduct potential functions for the unknowns. Hypotheses generated are then rigorously tested using complementary biochemical, genetics and molecular biology techniques. 
This approach allows to access this world of unknown and can bring rewards that are matching the challenge. The obtained fundamental knowledge can be built upon to better understand the influence of microbes on health. 
Applied long-term outcomes are new means to control host–microbes interactions, the discovery of paradigm-shifting antimicrobial targets and the development of novel and specific antibiotics, able to disrupt unique and newly discovered pathways. 

Award Highlights
  • deCrYPtion: Decrypting Mycobacterium cytochrome P450 (CYP) physiological functions by testing hypotheses emitted form large-scale comparative genomics analysis
  • European Commission Marie Skłodowska-Curie Individual Fellowships Reintegration panel 


    Grant Agreement Number: 839116; 2019 

  • Institute of Life Science, Swansea University, Swansea, Wales, UK 


  • John Gerlt, University of Illinois at Urbana-Champaign (USA) 
  • Valérie de Crécy-Lagard, University of Florida (USA) 
  • Luiz Pedro Carvalho, Crick Institute, London