MétaCan
Menu
Back to cohort
Record W2149704899 · doi:10.1139/cjm-2014-0786

Molecular responses of <i>Frankia</i> sp. strain QA3 to naphthalene

2015· article· en· W2149704899 on OpenAlexvenueno aff
Ethan Baker, Yang Tang, Feixia Chu, Louis S. Tisa

Bibliographic record

VenueCanadian Journal of Microbiology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLegume Nitrogen Fixing Symbiosis
Canadian institutionsnot available
Fundersnot available
KeywordsFrankiaBiologySymbiosisStrain (injury)MicrobiologyProteomeBacteriaSecondary metabolismActinorhizal plantBotanyGeneBiochemistryRoot noduleBiosynthesisGenetics

Abstract

fetched live from OpenAlex

The Frankia-actinorhizal plant symbiosis plays a significant role in plant colonization in soils contaminated with heavy metals and toxic aromatic hydrocarbons. The molecular response of Frankia upon exposure to soil contaminants is not well understood. To address this issue, we subjected Frankia sp. strain QA3 to naphthalene stress and showed that it could grow on naphthalene as a sole carbon source. Bioinformatic analysis of the Frankia QA3 genome identified a potential operon for aromatic compound degradation as well as several ring-hydroxylating dioxygenases. Under naphthalene stress, the expression of these genes was upregulated. Proteome analysis showed a differential protein profile for cells under naphthalene stress. Several protein spots were analyzed and used to identify proteins involved in stress response, metabolism, and energy production, including a lignostilbene dioxygenase. These results provide a model for understanding the molecular response of Frankia to common soil pollutants, which may be required for survival and proliferation of the bacterium and their hosts in polluted environments.

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 score0.003
Threshold uncertainty score0.005

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 head0.021
GPT teacher head0.216
Teacher spread0.195 · 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

Citations17
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of MicrobiologySame topicLegume Nitrogen Fixing SymbiosisFrench-language works237,207