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Record W3115599474 · doi:10.21203/rs.3.rs-17223/v1

A novel bifunctional aldehyde/alcohol dehydrogenase mediating ethanol formation from acetyl-CoA in hyperthermophiles

2020· preprint· en· W3115599474 on OpenAlexaff
Qiang Wang, Chong Sha, Hongcheng Wang, Kesen Ma, Juergen Wiegel, Abd El‐Fatah Abomohra, Weilan Shao

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAcetaldehydeHyperthermophileChemistryAlcohol dehydrogenaseEthanolAldehyde dehydrogenaseBiochemistryAcetic acidFermentationAlcoholEthanol fermentationEnzyme

Abstract

fetched live from OpenAlex

Abstract Background: Hyperthermophilic fermentation at temperatures above 80 °C allows in situ product removal to mitigate the ethanol toxicity, and reduces microbial contamination without autoclaving/cooling of feedstock. Many species of Thermotoga grow at temperatures up to 90 °C, and have enzymes to degrade and utilize lignocelluloses, which provide advantages for achieving consolidated processes of cellulosic ethanol production. However, no CoA-dependent aldehyde dehydrogenase (CoA-Aldh) from any hyperthermophiles has been documented in literature so far. The pyruvate ferredoxin oxidoreductases from hyperthermophiles have pyruvate decarboxylase activity, which convert about 2% and 98% of pyruvate to acetaldehyde and acetyl-CoA (ac-CoA), respectively. Acetyl-CoA can be converted to acetic acid, if there is no CoA-Aldh to convert ac-CoA to acetaldehyde and further to ethanol. Therefore, the current study aimed to identify and characterize a CoA-Aldh activity that mediates ethanol fermentation in hyperthermophiles.Results: In Thermotoga neapolitana (Tne), a hyperthermophilic iron-acetaldehyde/alcohol dehydrogenase (Fe-AAdh) was, for the first time, revealed to catalyze the ac-CoA reduction to form ethanol via an acetaldehyde intermediate, while the annotated aldh gene in Tne genome only encodes a CoA-independent Aldh that oxidizes aldehyde to acetic acid. Three other Tne alcohol dehydrogenases (Adh) exhibited specific physiological roles in ethanol formation and consumption: Fe-Adh2 mainly catalyzed the reduction of acetaldehyde to produce ethanol, and Fe-Adh1 showed significant activities only under extreme conditions, while Zn-Adh showed special activity in ethanol oxidation. In the in vitro formation of ethanol from ac-CoA, a strong synergy was observed between Fe-Adh1 and Fe-AAdh. The Fe-AAdh gene is highly conserved in Thermotoga spp. and in Pyrococus sp., which is probably responsible for ethanol metabolism in hyperthermophiles.Conclusions: Hyperthermophilic Thermotoga spp. are excellent candidates for biosynthesis of cellulosic ethanol fermentation strains. The finding of a novel hyperthermophilic CoA-Aldh activity of Tne Fe-AAdh revealed the existence of a hyperthermophilic fermentation pathway from ac-CoA to ethanol, which offers a basic frame for in vitro synthesis of a highly active AAdh for effective ethanol fermentation pathway in hyperthermophiles, which is a key element for the approach to the consolidated processes of cellulosic ethanol production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.164
GPT teacher head0.368
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2020
Admission routes1
Has abstractyes

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