University of Ostrava · Faculty of Science

Decoding bacteria
and their viruses

We combine mathematics, data science, and bioinformatics to investigate how bacteriophages drive the ecology and evolution of microbial communities — from hospital pathogens to natural environments.

Bacteriophage injecting DNA into a bacterial cell
Background

What are bacteriophages?

Bacteriophages — or phages for short — are viruses that infect bacteria. With an estimated 1031 particles on Earth, they are the most abundant biological entities on the planet, outnumbering bacteria ten to one. Wherever bacteria thrive — in the ocean, soil, the human gut, and hospital wards — phages are there too, relentlessly preying on them.

Phages work by latching onto a bacterial cell, injecting their genetic material, and hijacking the cell's own machinery to replicate. The bacterium either bursts open releasing new phage particles, or the phage quietly integrates into the bacterial chromosome — becoming a prophage — lying dormant for thousands of generations. These hidden passengers are far from inert: prophage genes can rewire their host's biology, conferring virulence, antibiotic tolerance, and the ability to colonise entirely new environments.

In an era of rising antibiotic resistance, phages are also gaining attention as therapeutics — precision biological agents capable of targeting pathogens that drugs can no longer reach. Understanding the ecology and evolution of phage–bacteria interactions sits at the heart of our research.

Research Themes

We sit at the intersection of microbial genomics, evolutionary theory, and quantitative biology.

Comparative Genomics

Prophage-Mediated Bacterial Adaptation

How do integrated phage genomes equip bacteria to thrive in radically different environments — from hospital wards to agricultural settings? We analyse thousands of bacterial genomes to find out.

Genomics Bioinformatics Bacterial Adaptation

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Evolutionary Dynamics

Phage–Bacteria Coevolution & Resistance

We develop mathematical models and computational tools to predict phage resistance emergence and understand the coevolutionary arms race between phages and their bacterial hosts.

Coevolution Phage Therapy Resistance

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Mathematical Biology

Mathematical Ecology of Microbial Communities

Using mathematical models and data science, we explore how competition, cooperation, and public goods dynamics shape the long-term ecology and evolution of microbial populations.

Modelling Ecology Data Science

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About the Group
Dr Bogna Smug

Quantitative approaches to microbial life

The Phage Ecology and Evolution Group, led by Dr Bogna Smug, uses a combination of mathematical modelling, data science, and bioinformatics to study how bacteria and their viruses interact, co-evolve, and shape one another's ecology.

We are based at the Faculty of Science, University of Ostrava, and are actively recruiting motivated researchers to join us.

Meet Dr Smug Open Positions

Our Approaches

Bioinformatics

Large-scale genomic and metagenomic analysis

Mathematical Modelling

Quantitative frameworks for evolution and ecology

Data Science

Statistical learning and computational prediction

Latest News

Updates from the lab.

27
Apr
2026
Recruiting
PhD student and Postdoctoral positions now open — applications welcome

We are actively recruiting a PhD student and a Postdoctoral researcher to join the group. Both positions are funded and are focused on phage genomics, bacterial adaptation, and computational biology. See the Join Us page for full details.

Interested in joining the group?

We are actively recruiting a PhD student and a Postdoctoral researcher. If you are passionate about microbial evolution and computational biology, we want to hear from you.