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hittingerlab.bsky.social
HittingerLab
@hittingerlab.bsky.social
Yeast evolutionary genomics with applications in brewing and bioenergy at the University of Wisconsin-Madison. Moderated by Hittinger Lab members. Opinions do not necessarily belong to anyone. Lab website: http://hittinger.genetics.wisc.edu.
Together, these studies help unravel the metabolic, genomic, and morphological diversity found across yeast species and reveal how evolution can both shape and constrain the traits that emerge.
a man in a blue shirt and tie is pointing at a bulletin board with a lot of papers on it .
ALT: a man in a blue shirt and tie is pointing at a bulletin board with a lot of papers on it .
media.tenor.com
November 11, 2025 at 4:38 PM
This work is also follow-up to our previously posted article, led by @linder-surprise.bsky.social: bsky.app/profile/hitt...
November 11, 2025 at 4:38 PM
We expanded upon this study from a group in the Groningen Biomolecular Sciences and Biotechnology Institute, located in the Netherlands:
www.sciencedirect.com/science/arti...
The rate of glucose metabolism sets the cell morphology across yeast strains and species
Yeasts are a diverse group of unicellular fungi that have developed a wide array of phenotypes and traits over 400 million years of evolution. However…
www.sciencedirect.com
November 11, 2025 at 4:38 PM
ECAR variation is associated with glycolyitc genes across the yeast subphylum (Figure 1 in this work)
October 7, 2025 at 5:14 PM
Reposted by HittingerLab
This work has also been featured on the DOE Science News Source initiative, Newswise, which promotes credible research news to the public. By publishing accessible summaries of recent studies that reach thousands of media outlets, it helps experts share their work with a broader audience.
Machine Learning Reveals Genes That Help Yeasts Resist Stress
Scientists used machine learning to analyze the genetic blueprints of hundreds of yeasts. This analysis allowed them to identify which groups of genes are most important for resistance to reactive oxy...
www.newswise.com
October 7, 2025 at 2:52 PM
This work has also been featured on the DOE Science News Source initiative, Newswise, which promotes credible research news to the public. By publishing accessible summaries of recent studies that reach thousands of media outlets, it helps experts share their work with a broader audience.
Machine Learning Reveals Genes That Help Yeasts Resist Stress
Scientists used machine learning to analyze the genetic blueprints of hundreds of yeasts. This analysis allowed them to identify which groups of genes are most important for resistance to reactive oxy...
www.newswise.com
October 7, 2025 at 2:52 PM
We report evidence of three previously unknown whole genome duplications (WGD) in Dipodascales yeasts. These events show striking parallels to the WGD of Saccharomyces cerevisae, the only known ancient WGD in the yeast subphylum Saccharomycotina.
September 17, 2025 at 2:20 AM
Taxogenomic analyses place P. senei in the Pichia cactophila complex, shaped by evolutionary hybridization events.

Read the open-access article in FEMS Yeast Research:

academic.oup.com/femsyr/advan...
Taxogenomic analysis of Pichia senei sp. nov. and new insights into hybridization events in the Pichia cactophila species complex
Abstract. Three strains of a novel yeast species were isolated from necrotic cactus tissues of Cereus saddianus and Micranthocereus dolichospermaticus and
academic.oup.com
August 14, 2025 at 7:53 PM
Check out the code used to run the machine learning model for this work!
zenodo.org/records/1524...

Congratulations to @katarina-aranguiz.bsky.social on her first publication!
Code for: Machine learning reveals genes impacting oxidative stress resistance across yeasts
This repository contains the scripts necessary to run the machine learning model from the Nature Communications paper 'Machine learning reveals genes impacting oxidative stress resistance across yeast...
zenodo.org
July 9, 2025 at 8:07 PM