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Record W1993096859 · doi:10.1139/w05-010

Diversity of organophosphorus pesticide-degrading bacteria in a polluted soil and conservation of their organophosphorus hydrolase genes

2005· article· en· W1993096859 on OpenAlexvenueno aff
Ruifu Zhang, Zhongli Cui, Jian‐Dong Jiang, Jian He, Xiangyang Gu, Shunpeng Li

Bibliographic record

VenueCanadian Journal of Microbiology · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsParathion methylBacteriaBiologyGene16S ribosomal RNAgenomic DNAGene clusterMicrobiologyGeneticsSequence analysisMolecular biologyPesticide

Abstract

fetched live from OpenAlex

Seven methyl parathion-degrading bacteria were isolated from a long-term methyl parathion contaminated soil and were found to belong to the genera Pseudaminobacter, Achromobacter, Brucella, and Ochrobactrum. Southern blot analysis using an mpd gene probe revealed that their hydrolase genes were similar to the mpd gene from Plesiomonas sp. strain M6 and were all located on the chromosome. Gene libraries were constructed from genomic DNA of each of the 7 organophosphorus pesticide-degrading bacteria, and their mpd genes were cloned and sequenced. Sequence analysis revealed that their hydrolase genes were conserved, and that the G+C content of the mpd genes were distinctly different from that of the chromosome-located 16S rRNA gene, suggesting that the mpd gene could be transferred and expressed among a variety of bacterial hosts.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.009
GPT teacher head0.177
Teacher spread0.169 · 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 designObservational
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

Citations96
Published2005
Admission routes1
Has abstractyes

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