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HittingerLab

@HittingerLab

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

Madison, WI
Joined April 2018
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@HittingerLab
HittingerLab
1 year
The big Y1000+ Project manuscript is finally published in Science magazine! Years of work with @RokasLab, @DOpulente, @Lab_LaBella, Marizeth Groenewald, the late Clete Kurtzman, and many others:.
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@HittingerLab
HittingerLab
8 months
For more information and to see our previous winners, see our website @UWEvolution.
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@HittingerLab
HittingerLab
8 months
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:
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@HittingerLab
HittingerLab
8 months
RT @GLBioenergy: 🥐 John Crandall, a postdoc in the @HittingerLab, works with yeasts both in and outside of the @UWEnergy lab as a home brew….
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@HittingerLab
HittingerLab
8 months
RT @ASBMB: 🍺Q: What makes a yeast variety suitable for lager beer rather than ales? .🍻A: Yeast that ferments best at cool temperatures. Ind….
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@HittingerLab
HittingerLab
8 months
See the full paper here:. Led by Dr. John Crandall (former @uwgenetics PhD student and current @GLBioenergy postdoc) with Dr. Xiaofan Zhou and @RokasLab.
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@HittingerLab
HittingerLab
8 months
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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@HittingerLab
HittingerLab
8 months
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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@HittingerLab
HittingerLab
8 months
RT @UWEnergy: Happy Halloween from the Wisconsin Energy Institute!
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@HittingerLab
HittingerLab
10 months
This work was a great collaborative effort led by @MarieClaireHar2 with @DOpulente @shenxingxing1 @MarizethGroene1 @RokasLab @Lab_LaBella.
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@HittingerLab
HittingerLab
10 months
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!💡
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@HittingerLab
HittingerLab
10 months
This is based on genome-informed higher ranked classifications led by @MarizethGroene1 as part of the project.
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@HittingerLab
HittingerLab
10 months
Check out @NCBI Insights blog on updating the yeast taxonomy:.
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@HittingerLab
HittingerLab
11 months
RT @biorxiv_micrbio: Machine learning uncovers gene families impacting oxidative stress resistance across yeasts #….
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@HittingerLab
HittingerLab
11 months
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.
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@HittingerLab
HittingerLab
11 months
RT @Linder_surprise: Very excited to share this preprint of our work to identify the genetic bases of ROS resistance across the yeast subph….
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@HittingerLab
HittingerLab
11 months
Huge thanks to our @GLBioenergy and @RokasLab collaborators!.
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@HittingerLab
HittingerLab
11 months
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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@HittingerLab
HittingerLab
11 months
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 .
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@HittingerLab
HittingerLab
11 months
Huge thanks to our @GLBioenergy and @RokasLab collaborators!.
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@HittingerLab
HittingerLab
11 months
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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