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Record W2950217164 · doi:10.1101/674713

Catabolism of alkylphenols in <i>Rhodococcus</i> via a <i>meta</i> -cleavage pathway associated with genomic islands

2019· preprint· en· W2950217164 on OpenAlexafffund
David J. Levy‐Booth, Morgan M. Fetherolf, Gordon R. Stewart, Jie Liu, Lindsay D. Eltis, William W. Mohn

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsUniversity of British Columbia
FundersGenome British ColumbiaGénome QuébecNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsAlkylphenolCatabolismDioxygenaseGeneBiochemistryChemistryOperonRhodococcusMetabolic pathwayBiologyMutantEnzyme

Abstract

fetched live from OpenAlex

Abstract The bacterial catabolism of aromatic compounds has considerable promise to convert lignin depolymerization products to commercial chemicals. Alkylphenols are a key class of depolymerization products whose catabolism is not well elucidated. We isolated Rhodococcus rhodochrous EP4 on 4-ethylphenol and applied genomic and transcriptomic approaches to elucidate alkylphenol catabolism in EP4 and Rhodococcus jostii RHA1. RNA-Seq and RT-qPCR revealed a pathway encoded by the aphABCDEFGHIQRS genes that degrades 4-ethylphenol via the meta- cleavage of 4-ethylcatechol. This process was initiated by a two-component alkylphenol hydroxylase, encoded by the aphAB genes, which were up-regulated ~3,000-fold. Purified AphAB from EP4 had highest specific activity for 4-ethylphenol and 4-propylphenol (~2000 U/mg) but did not detectably transform phenol. Nevertheless, a Δ aphA mutant in RHA1 grew on 4-ethylphenol by compensatory up-regulation of phenol hydroxylase genes ( pheA1-3 ). Deletion of aphC , encoding an extradiol dioxygenase, prevented growth on 4-alkylphenols but not phenol. Disruption of pcaL in the β-ketoadipate pathway prevented growth on phenol but not 4-alkylphenols. Thus, 4-ethylphenol and 4-propylphenol are catabolized exclusively via meta- cleavage in rhodococci while phenol is subject to ortho- cleavage. Putative genomic islands encoding aph gene s were identified in EP4 and several other rhodococci. Overall, this study identifies a 4-alkylphenol pathway in rhodococci, demonstrates key enzymes involved, and presents evidence that the pathway is encoded in a genomic island. These advances are of particular importance for wide-ranging industrial applications of rhodococci, including upgrading of lignocellulose biomass. Importance Elucidation of bacterial alkylphenol catabolism is important for the development of biotechnologies to upgrade the lignin component of plant biomass. We isolated a new strain, Rhodococcus rhodochrous EP4, on 4-ethylphenol, an alkylphenol that occurs in lignin-derived streams, including reductive catalytic fractionation products of corn stover. We further demonstrated its degradation via a meta- cleavage pathway (Aph) with transcriptomics. A new class of Actinobacterial hydroxylase, AphAB, acts specifically on alkylphenols. Phylogenomic analysis indicated that the aph genes occur on putative genomic islands in several rhodococcal strains. These genes were identified in the genetically-tractable strain Rhodococcus jostii RHA1. Strains missing this element cannot metabolise 4-ethylphenol and 4-propylphenol. Overall, we advanced the understanding of how aromatic compounds are degraded by environmental bacteria and identified enzymes that can be employed in the transition away from petro-chemicals towards renewable alternatives.

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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.008
GPT teacher head0.185
Teacher spread0.178 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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