About

I'm an evolutionary biologist and bioinformatician investigating how genomes evolve and function, with a particular focus on animals and fungi. My research explores the evolutionary mechanisms that drive fungal pathogenicity—work that directly impacts our ability to identify, prevent, and combat fungal infections. By studying the genetic foundations of traits across diverse fungal species, I aim to decode the fundamental principles governing genome evolution.

Beyond research, I develop computational tools that empower biological discovery. My software includes ClipKIT and PhyKIT, which streamline phylogenomic analysis and help researchers conduct more precise evolutionary studies. These tools have been adopted by research groups worldwide, enabling faster and more accurate scientific discoveries.

Collaboration drives everything I do. The most meaningful scientific breakthroughs happen when diverse minds work together, combining complementary expertise and perspectives. I'm always excited to explore new partnerships—if you're interested in working together, please reach out.

Science belongs to everyone. I'm passionate about promoting diversity, equity, and inclusion in STEM through community engagement and accessible science communication. One way I do this is through Genomely: where genomics and evolution converge—a newsletter that makes cutting-edge genomics research accessible to everyone. Join thousands of subscribers exploring the fascinating world of genomes and evolution!


Research Interests

Genome Evolution and Function

about_images/diversity_of_yeasts.jpg How do genomes evolve and function? This fundamental question drives my research into the Saccharomycotina subphylum of yeasts—one of nature's most remarkably diverse groups. Budding yeast diversity rivals that of animals and plants combined (see figure from Shen et al. 2018, Cell), making them ideal for studying evolutionary principles. Through the Y1000+ initiative, we're sequencing and analyzing over 1,000 budding yeast species, revealing insights into genome evolution across 400 million years.

Our discoveries challenge conventional wisdom. We've shown that genetic networks inferred from evolutionary data capture conserved cellular architecture and genome function (Steenwyk et al. 2022, Science Advances). Even more surprising, Hanseniaspora yeasts have lost numerous cell cycle and DNA repair genes once thought essential to all life (Steenwyk et al. 2019, PLOS Biology). These findings reveal that genomes are far more dynamic and adaptable than previously imagined.

Representative publications:
Steenwyk et al. (2022) Science Advances
Steenwyk et al. (2019) PLOS Biology
Steenwyk & Rokas (2016) G3

Fungal Pathogenicity

about_images/hybrids_graphical_abstract.jpg What transforms a harmless microbe into a deadly pathogen? Filamentous fungi like Aspergillus and Candida exemplify this paradox— while some species threaten human and plant health, others produce life-saving pharmaceuticals like penicillin. Understanding their evolutionary histories reveals the molecular switches between harm and help.

Our research has uncovered unexpected mechanisms driving fungal pathogen evolution. We discovered that Aspergillus latus originated through allodiploid hybridization, maintaining genome content from both parental species (see figure from Steenwyk, Lind et al. 2020, Current Biology). These hybrid pathogens showed unique traits distinct from their parents, suggesting hybridization as a key innovation in pathogen evolution. Even more intriguingly, we found that supposedly "harmless" Aspergillus species carry virulence genes and display pathogen-like behaviors (Steenwyk et al. 2020, Genetics). This discovery challenges our fundamental understanding: what truly makes a pathogen?

Representative publications:
Steenwyk et al. (2024) Nature Communications
Steenwyk et al. (2023) PLOS Pathogens
Steenwyk, Lind et al. (2020) Current Biology

Phylogenomics

The tree of life tells the story of evolution—but reading that story requires sophisticated methods and careful interpretation. My phylogenomic research reconstructs evolutionary relationships among species, genes, and biological entities, providing the essential framework for understanding how life diversified. We've mapped fungal evolutionary history (see figure from Li et al. 2021, Current Biology) and developed novel analytical methods (Shen et al. 2021, Systematic Biology) that advance the field's capabilities.

One of our most significant contributions addresses a persistent challenge: phylogenetic incongruence, where different datasets yield conflicting evolutionary hypotheses. Through comprehensive analysis and synthesis, we've characterized this phenomenon and proposed solutions (Steenwyk et al. 2023, Nature Reviews Genetics). Our work also places evolutionary events in deep time, revealing when major lineages arose across hundreds of millions of years (Steenwyk et al. 2019, mBio). These temporal frameworks are crucial for understanding how evolutionary processes unfold across geological timescales.

Representative publications:
Steenwyk et al. (2023) Nature Reviews Genetics
Li et al. (2021) Current Biology
Steenwyk et al. (2019) mBio

Development of Computational Tools

about_images/about_images/clipkit_performance.jpg Modern biology is computational biology. Recognizing that researchers need powerful, accessible tools to unlock biological insights, I develop software that transforms how scientists analyze evolutionary data. My flagship tool, ClipKIT, revolutionizes alignment trimming by intelligently retaining phylogenetically informative sites while removing noise. In rigorous testing across ~140,000 alignments, ClipKIT consistently outperformed existing methods (see figure from Steenwyk et al. 2020, PLOS Biology; browser application).

PhyKIT serves as the Swiss Army knife of phylogenomics, enabling researchers to assess data quality, screen gene function, and detect rapid evolutionary events (Steenwyk et al. 2021, Bioinformatics). These tools have been adopted by hundreds of research groups worldwide, accelerating discoveries across evolutionary biology. My complete software portfolio is available on the software page.

Representative publications:
Steenwyk et al. (2022) PLOS Biology
Steenwyk et al. (2021) Bioinformatics
Steenwyk et al. (2020) PLOS Biology

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