Evidence map›Paper›PMID 34354100›Full record

ArticleScientific reports2021

The post-translational modification landscape of commercial beers.

Edward D Kerr, Christopher H Caboche, Cassandra L Pegg, Toan K Phung, Claudia Gonzalez Viejo, Sigfredo Fuentes, Mark T Howes, Kate Howell, Benjamin L Schulz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Edward D KerrSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia.
Christopher H CabocheSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia.
Cassandra L PeggSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia.
Toan K PhungSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia.
Claudia Gonzalez ViejoSchool of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
Sigfredo FuentesSchool of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
Mark T HowesNewstead Brewing Co., Milton, Brisbane, QLD, 4064, Australia.
Kate HowellSchool of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC, 3010, Australia.
Benjamin L SchulzSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, 4072, Australia. b.schulz@uq.edu.au.
University of Queensland · AUAgriculture and Food · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beer is one of the most popular beverages worldwide. As a product of variable agricultural ingredients and processes, beer has high molecular complexity. We used DIA/SWATH-MS to investigate the proteomic complexity and diversity of 23 commercial Australian beers. While the overall complexity of the beer proteome was modest, with contributions from barley and yeast proteins, we uncovered a very high diversity of post-translational modifications (PTMs), especially proteolysis, glycation, and glycosylation. Proteolysis was widespread throughout barley proteins, but showed clear site-specificity. Oligohexose modifications were common on lysines in barley proteins, consistent with glycation by maltooligosaccharides released from starch during malting or mashing. O-glycosylation consistent with oligomannose was abundant on secreted yeast glycoproteins. We developed and used data analysis pipelines to efficiently extract and quantify site-specific PTMs from SWATH-MS data, and showed incorporating these features into proteomic analyses extended analytical precision. We found that the key differentiator of the beer glyco/proteome was the brewery, with beer from independent breweries having a distinct profile to beer from multinational breweries. Within a given brewery, beer styles also had distinct glyco/proteomes. Targeting our analyses to beers from a single brewery, Newstead Brewing Co., allowed us to identify beer style-specific features of the glyco/proteome. Specifically, we found that proteins in darker beers tended to have low glycation and high proteolysis. Finally, we objectively quantified features of foam formation and stability, and showed that these quality properties correlated with the concentration of abundant surface-active proteins from barley and yeast.

Indexed as

AustraliaBeerEdible GrainFungal ProteinsGlycosylationHordeumProtein Processing, Post-TranslationalProteolysisProteomeProteomicsStarchFungal ProteinsProteomeStarch

Identifiers

PMID34354100
PMCPMC8342498
OpenAlexW3192605447

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.