Evidence map›Paper›PMID 38135291›Full record

ArticleG3 (Bethesda, Md.)2024

Systematic profiling of ale yeast protein dynamics across fermentation and repitching.

Riddhiman K Garge, Renee C Geck, Joseph O Armstrong, Barbara Dunn, Daniel R Boutz, Anna Battenhouse, Mario Leutert, Vy Dang, Pengyao Jiang, Dusan Kwiatkowski and 4 more

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The micromammals.G3 (Bethesda, Md.) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Riddhiman K GargeDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-6774-0172
Renee C GeckDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7812-7675
Joseph O ArmstrongDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0009-0002-3570-3761
Barbara DunnDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-7041-0035
Daniel R BoutzDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-7462-4105
Anna BattenhouseDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-7455-9064
Mario LeutertDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7921-4017
Vy DangDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.
Pengyao JiangDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-7797-6031
Dusan KwiatkowskiLive Oak Brewing Company, Austin, TX 78617, USA.
Thorin PeiserLive Oak Brewing Company, Austin, TX 78617, USA.
Hoyt McElroyLive Oak Brewing Company, Austin, TX 78617, USA.
Edward M MarcotteDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-8808-180X
Maitreya J DunhamDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-9944-2666

Funding

Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Biological Mechanisms of Healthy Aging Training GrantT32AG066574 · NIA · UNIVERSITY OF WASHINGTON · PI David J. Marcinek, Jessica E Young · 2020 to 2026
$5.3M
Functional interpretation of human G6PD variants using multiplexed analyses in S. cerevisiaeF32GM143852 · NIGMS · UNIVERSITY OF WASHINGTON · PI GECK, RENEE CATHERINE · 2021 to 2022
$134k
NHGRI NIH HHS RM1 HG010461NIA NIH HHS T32 AG066574NIGMS NIH HHS F32 GM143852NIGMS NIH HHS R35 GM122480NIH HHS F32 GM143852Swiss National Science Foundation P5R5PB_211122
6 · The paper itself

Abstract

Studying the genetic and molecular characteristics of brewing yeast strains is crucial for understanding their domestication history and adaptations accumulated over time in fermentation environments, and for guiding optimizations to the brewing process itself. Saccharomyces cerevisiae (brewing yeast) is among the most profiled organisms on the planet, yet the temporal molecular changes that underlie industrial fermentation and beer brewing remain understudied. Here, we characterized the genomic makeup of a Saccharomyces cerevisiae ale yeast widely used in the production of Hefeweizen beers, and applied shotgun mass spectrometry to systematically measure the proteomic changes throughout 2 fermentation cycles which were separated by 14 rounds of serial repitching. The resulting brewing yeast proteomics resource includes 64,740 protein abundance measurements. We found that this strain possesses typical genetic characteristics of Saccharomyces cerevisiae ale strains and displayed progressive shifts in molecular processes during fermentation based on protein abundance changes. We observed protein abundance differences between early fermentation batches compared to those separated by 14 rounds of serial repitching. The observed abundance differences occurred mainly in proteins involved in the metabolism of ergosterol and isobutyraldehyde. Our systematic profiling serves as a starting point for deeper characterization of how the yeast proteome changes during commercial fermentations and additionally serves as a resource to guide fermentation protocols, strain handling, and engineering practices in commercial brewing and fermentation environments. Finally, we created a web interface (https://brewing-yeast-proteomics.ccbb.utexas.edu/) to serve as a valuable resource for yeast geneticists, brewers, and biochemists to provide insights into the global trends underlying commercial beer production.

Indexed as

ProteomicsSaccharomyces cerevisiaeBeerFermentationFungal ProteinsFungal Proteinsbeerbrewing yeastfermentationgenomicsmass spectrometryproteomicssystems biology

Identifiers

PMID38135291
PMCPMC10917522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.