Evidence map›Paper›PMID 38539167›Full record

ArticleBiotechnology for biofuels and bioproducts2024

Substrate specificity mapping of fungal CAZy AA3_2 oxidoreductases.

Hongbo Zhao, Johanna Karppi, Owen Mototsune, Daria Poshina, Jenny Svartström, Thi Truc Minh Nguyen, Tri Minh Vo, Adrian Tsang, Emma Master, Maija Tenkanen

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels and bioproducts, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

10 authors at 4 institutions in 2 countries.

Hongbo ZhaoDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland. hongbo.zhao@helsinki.fi.
Johanna KarppiDepartment of Bioproducts and Biosystems, Aalto University, Espoo, Finland.
Owen MototsuneDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
Daria PoshinaDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.
Jenny SvartströmDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.
Thi Truc Minh NguyenCentre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.
Tri Minh VoCentre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.
Adrian TsangCentre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke Street West, Montreal, QC, H4B 1R6, Canada.
Emma MasterDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada.
Maija TenkanenDepartment of Food and Nutrition, University of Helsinki, Helsinki, Finland.
University of Helsinki · FIConcordia University · CAUniversity of Toronto · CAAalto University · FI

Funding

Academy of Finland 308996Novo Nordisk Fonden 0070816Suomen Kulttuurirahasto 00211192
6 · The paper itself

Abstract

backgroundOxidative enzymes targeting lignocellulosic substrates are presently classified into various auxiliary activity (AA) families within the carbohydrate-active enzyme (CAZy) database. Among these, the fungal AA3 glucose-methanol-choline (GMC) oxidoreductases with varying auxiliary activities are attractive sustainable biocatalysts and important for biological function. CAZy AA3 enzymes are further subdivided into four subfamilies, with the large AA3_2 subfamily displaying diverse substrate specificities. However, limited numbers of enzymes in the AA3_2 subfamily are currently biochemically characterized, which limits the homology-based mining of new AA3_2 oxidoreductases. Importantly, novel enzyme activities may be discovered from the uncharacterized parts of this large subfamily.

resultsIn this study, phylogenetic analyses employing a sequence similarity network (SSN) and maximum likelihood trees were used to cluster AA3_2 sequences. A total of 27 AA3_2 proteins representing different clusters were selected for recombinant production. Among them, seven new AA3_2 oxidoreductases were successfully produced, purified, and characterized. These enzymes included two glucose dehydrogenases (TaGdhA and McGdhA), one glucose oxidase (ApGoxA), one aryl alcohol oxidase (PsAaoA), two aryl alcohol dehydrogenases (AsAadhA and AsAadhB), and one novel oligosaccharide (gentiobiose) dehydrogenase (KiOdhA). Notably, two dehydrogenases (TaGdhA and KiOdhA) were found with the ability to utilize phenoxy radicals as an electron acceptor. Interestingly, phenoxy radicals were found to compete with molecular oxygen in aerobic environments when serving as an electron acceptor for two oxidases (ApGoxA and PsAaoA), which sheds light on their versatility. Furthermore, the molecular determinants governing their diverse enzymatic functions were discussed based on the homology model generated by AlphaFold.

conclusionsThe phylogenetic analyses and biochemical characterization of AA3_2s provide valuable guidance for future investigation of AA3_2 sequences and proteins. A clear correlation between enzymatic function and SSN clustering was observed. The discovery and biochemical characterization of these new AA3_2 oxidoreductases brings exciting prospects for biotechnological applications and broadens our understanding of their biological functions.

Indexed as

CAZy family AA3_2GentiobioseOxidoreductasePhenoxy radicalSequence similarity network

Identifiers

PMID38539167
PMCPMC10967070
OpenAlexW4393233240

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.