The Power of Yeast
Review article, 2025

Yeasts have been intimately connected with human civilization for millennia, originally used for fermentation in food and beverage production. This article explores the multifaceted roles of yeasts—particularly Saccharomyces cerevisiae—as both a model organism and a cell factory. The historical journey of yeast research is chronicled from early fermentation practices to its central role in the molecular biology revolution. Notable discoveries using yeast have led to numerous Nobel Prizes, demonstrating its power in elucidating fundamental biological processes such as the eukaryal cell cycle, protein trafficking, transcription, and autophagy. The deep conservation of cellular pathways between yeast and humans, such as AMPK/Snf1 and TORC1/Tor1 signaling, further underscores yeast's value in biomedical research. Beyond its use in basic science, S. cerevisiae has become a preferred host for industrial biotechnology due to its genetic tractability, safety status, and ability to scale fermentation processes. Yeast has been engineered to produce a broad range of chemicals, fuels, and pharmaceuticals. Advanced tools in metabolic engineering—including genome-scale metabolic models, multi-omics analyses, and adaptive laboratory evolution—have driven remarkable improvements in yield, productivity, and strain robustness. These tools also offer insights into fundamental metabolic regulation and cellular adaptation. As the article discusses, yeast has not only illuminated the molecular workings of eukaryal life but also transformed industrial biotechnology. Its legacy and continued evolution affirm its indispensable role in science and technology.

industrial production

metabolic engineering

Nobel Prizes

history

model organism

Schizosaccharomyces pombe

Saccharomyces cerevisiae

Author

Jens B Nielsen

Chalmers, Life Sciences, Systems and Synthetic Biology

BioInnovation Institute

Yeast

0749-503X (ISSN) 1097-0061 (eISSN)

Vol. 42 12 303-310

Subject Categories (SSIF 2025)

Molecular Biology

Bioinformatics and Computational Biology

Microbiology

DOI

10.1002/yea.70009

PubMed

41445307

More information

Latest update

1/20/2026