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HittingerLab @HittingerLab

Biodiversity | Biochemistry | Biotechnology | Functional, Ecological, and Evolutionary Genomics | Moderated by current lab members

Joined April 2018
  • Tweets 599
  • Following 755
  • Followers 1,665
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HittingerLab@HittingerLab
10 Jul 2025
It's been awhile since we posted here, but we have an opening for postdoctoral training! Please apply by 15th August 2025 for full consideration. Here is the ad: hittinger.genetics.wisc.edu/…
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UW-Madison Evolution Seminar Series' Early Career Award is open for applications until November 30th, 2024. This is a great opportunity to showcase your work at our seminar! 🦡⚗️ Postdocs and grad students in evolutionary biology are encouraged to apply: forms.gle/uyftSGQbV8LGZ81dA

Early Career Scientist Awards 2025

Application to the UW-Madison Evolution Seminar Series - Early Career Scientist Awards.

docs.google.com
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For more information and to see our previous winners, see our website evolution.wisc.edu/seminars/… @UWEvolution

Early Career Award Seminar

The J.F. Crow Institute for the Study of Evolution at the University of Wisconsin-Madison is inviting early-career evolutionary biologists from outside UW-Madison to apply to participate in an...

evolution.wisc.edu
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🥐 John Crandall, a postdoc in the @HittingerLab, works with yeasts both in and outside of the @UWEnergy lab as a home brewer and baker. Find out what makes a yeast boring or interesting in his colorful spotlight: buff.ly/4fJSlQP #postdoc #microbiology #uwmadison
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HittingerLab retweeted
ASBMB@ASBMB
5 Nov 2024
🍺Q: What makes a yeast variety suitable for lager beer rather than ales? 🍻A: Yeast that ferments best at cool temperatures. Industrial lager brewers favor S. pastorianus. 🧬Learn about research from the @HittingerLab for more on the genetics of #beer: ow.ly/f4sq50U0Wiz.
A collage featuring a headshot of Chris Todd Hittinger, an illustration of a mug of beer, a headshot of Jacob Crandall, and in the bottom row, a scanning electron microscope image of Saccharomyces cerevisiae budding by Mogana Das Murtey and Patchamuthu Ramasamy via Wikimedia Commons.

ALT A collage featuring a headshot of Chris Todd Hittinger, an illustration of a mug of beer, a headshot of Jacob Crandall, and in the bottom row, a scanning electron microscope image of Saccharomyces cerevisiae budding by Mogana Das Murtey and Patchamuthu Ramasamy via Wikimedia Commons.
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How can a yeast sugar transporter find a new function? In our new paper out now in @MolBioEvol we look at a recent evolutionary innovation in an alpha-glucoside transporter in S. eubayanus and find that multiple simultaneous mutations are required for this new function!
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Zooming out to look at the Major Facilitator Superfamily across diverse yeasts, we find that these specialized alpha-glucoside transporters likely evolved from a generalist ancestral transporter.
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See the full paper here: academic.oup.com/mbe/advance… Led by Dr. John Crandall (former @uwgenetics PhD student and current @GLBioenergy postdoc) with Dr. Xiaofan Zhou and @RokasLab

Specialization Restricts the Evolutionary Paths Available to Yeast Sugar Transporters

Abstract. Functional innovation at the protein level is a key source of evolutionary novelties. The constraints on functional innovations are likely to be

academic.oup.com
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HittingerLab retweeted
UW Energy Institute@UWEnergy
1 Nov 2024
Happy Halloween from the Wisconsin Energy Institute!
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See our new article in which we developed an Ontology of Yeast Environments.🌱This hierarchical framework allows for new systematic analyses and insights into the evolution, ecology, and diversity of yeasts!💡onlinelibrary.wiley.com/doi/…

Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology Framework

Ontologies are a flexible framework in which we can translate yeast ecological information into a machine-readable format. The creation of the Ontology of Yeast Environments (OYE) allowed us to...

onlinelibrary.wiley.com
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This work was a great collaborative effort led by @MarieClaireHar2 with @DOpulente @shenxingxing1 @MarizethGroene1 @RokasLab @Lab_LaBella
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Check out @NCBI Insights blog on updating the yeast taxonomy: ncbiinsights.ncbi.nlm.nih.go…

NCBI Taxonomy Updates to Yeasts - NCBI Insights

As previously announced, NCBI is continually making improvements to our Taxonomy resource in response to new data and changes in biological nomenclature. We recently made classification changes to...

ncbiinsights.ncbi.nlm.nih.gov
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This is based on genome-informed higher ranked classifications led by @MarizethGroene1 as part of the y1000plus.org project ncbi.nlm.nih.gov/pmc/article…
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HittingerLab retweeted
bioRxiv Microbiology@biorxiv_micrbio
15 Aug 2024
Machine learning uncovers gene families impacting oxidative stress resistance across yeasts biorxiv.org/cgi/content/shor… #biorxiv_micrbio
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How can yeast fermentation workflows be optimized in biorefineries for isobutanol production? See our @GLBioenergy collaborative work on using gamma-valerolactone (a renewable green solvent) in biomass pretreatment to achieve high titers of isobutanol pubs.rsc.org/en/content/arti…

On the synthesis of biorefineries for high-yield isobutanol production: from biomass-to-alcohol...

The production of isobutanol from lignocellulose has gained attention due to its favorable physical and chemical properties. The use of lignocellulosic biomass as a feedstock to produce isobutanol...

pubs.rsc.org
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How do yeasts resist oxidative stress? We used machine learning to identify gene families that are predictive of ROS resistance across the yeast subphylum. Check out the preprint led by @UWBiochem undergrad Kat Aranguiz and postdoc @Linder_surprise biorxiv.org/content/10.1101/…

Machine learning reveals genes impacting oxidative stress resistance across yeasts

Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characte...

biorxiv.org
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The most predictive gene families included reductases and were enriched for cell wall-related genes. After interrogating the model to make specific hypotheses about how manipulating gene families would impact ROS resistance, we also validated their impact using two yeast species.
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Huge thanks to our @GLBioenergy and @RokasLab collaborators!
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The most predictive gene families included reductases and were enriched for cell wall-related genes. After interrogating the model to make specific hypotheses about how manipulating gene families would impact ROS resistance, we also validated their impact using two yeast species.
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Huge thanks to our @GLBioenergy and @RokasLab collaborators!
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