MétaCan
Menu
Back to cohort
Record W2106426067 · doi:10.1139/w08-147

Construction and analysis of pathogenicity island deletion mutants of <i>Erwinia amylovora</i>

2009· article· en· W2106426067 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Microbiology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
FundersU.S. Department of Agriculture
KeywordsOperonErwiniaPathogenicity islandBiologyVirulenceMutantType three secretion systemMicrobiologyGeneticsEscherichia coliGenePlasmidEnterobacteriaceaegal operonL-arabinose operon

Abstract

fetched live from OpenAlex

An easy gene-knockout technique, PCR-based one-step inactivation of chromosomal genes, is widely used in Escherichia coli and related enterobacteria to construct mutants. In this study, we adapted this technique to construct genomic island and large operon deletion mutants of Erwinia amylovora, including the 33.4 kb hrp-type III secretion (T3SS) pathogenicity island (PAI1) and the 15.8 kb amylovoran biosynthesis (AMS) operon. Deletion of 2 novel T3SS pathogenicity islands (PAI2 and PAI3) and an operon encoding a type II secretion system (T2SS) demonstrated that these determinants are not involved in virulence in plants. Co-inoculation experiments demonstrated that the hrp-T3SS and AMS deletion mutants could complement each other. These results further confirmed that the one-step inactivation technique can be used to generate large deletions in E. amylovora.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.919
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

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 head0.008
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