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Record W1537423632 · doi:10.1159/000121326

Diversity of the C-Terminal Portion of the Biphenyl Dioxygenase Large Subunit

2008· article· en· W1537423632 on OpenAlexafffund
Julie Vézina, Diane Barriault, Michel Sylvestre

Bibliographic record

VenueMicrobial Physiology · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial bioremediation and biosurfactants
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhylogenetic treeBiphenylBacteriaEnzymeContext (archaeology)StereospecificityStereochemistryChemistryDioxygenaseBiologyBiochemistryCatalysisGeneticsGeneOrganic chemistry

Abstract

fetched live from OpenAlex

The biphenyl dioxygenase (BPDO) catalyses a stereospecific dioxygenation of biphenyl and analogs of it. Aside from being involved in the destruction and detoxification of toxic pollutants in soil, in the context of the green chemistry concept, this enzyme is a promising biocatalyst to design new more selective and more environmentally friendly approaches to manufacture fine chemicals. At this time, most of our knowledge about the variability of key residues determining the substrate specificity and regiospecificity of the enzyme oxygenase component (BphAE) toward biphenyl analogs and about the effect of altering these residues on catalytic properties is based on investigations made with BphAEs from cultured organisms and engineered enzymes derived from them. The purpose of this work was to examine the diversity of the amino acid sequence patterns of the alpha subunit (BphA) C-terminal domain deduced from PCR products amplified from DNA extracted from cultured bacteria of various phylogenetic lines and from the soil microflora of PCB-contaminated soils. Of special interest were segments of the C-terminal portion called regions I, III and IV. Altogether, the phylogenetic tree obtained from aligning the deduced amino acid sequences of BphAs C-terminal domain from cultured bacteria belonging to various ecological niches and from uncultured soil bacteria reveals that most of the BphAs were linked to the three clusters of BphAs previously reported. However, few belong to new branches that diverge from the previously known branches showing a high diversity of BphAs in natural environment. Furthermore, data show a wide distribution of BphAs with family linkages that not only crosses bacterial taxonomic frontiers but also ecological niches. Nevertheless, in spite of this divergence, the sequence patterns of regions III and IV amino acids that are known to influence substrate specificity and regiospecificity are rather conserved among BphAs and the pattern was independent of the family cluster to which they belong. In most cases, regions III and IV amino acid patterns are closer to those of Pseudomonas pseudoalcaligenes KF707 BphA1 than to the most versatile Burkholderia xenovorans LB400 BphA. This might suggest that the PCB-degrading potency of soil bacteria is closer to the one observed for KF707 BphAE than from LB400 BphAE. However, the fact that among less than 20 PCR products amplified from soil DNA that we have sequenced, one of them was very homologous to that of LB400 BphA and in addition, residues 335 and 336 of LB400 were replaced by residues that previous enzyme engineering had shown to extend the range of PCB substrate used by the enzyme strongly suggest that PCB-degrading bacteria are evolving in soil to optimize their PCB-degrading capacity.

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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.186
Teacher spread0.175 · 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

Citations31
Published2008
Admission routes2
Has abstractyes

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