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Record W2119657396 · doi:10.1094/pdis.2000.84.4.443

Fimbrial-Specific Monoclonal Antibody-Based ELISA for European Potato Strains of <i>Erwinia chrysanthemi</i> and Comparison to PCR

2000· article· en· W2119657396 on OpenAlexaff
Umadatt Singh, C. M. Trevors, S. H. De Boer, J. Janse

Bibliographic record

VenuePlant Disease · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsCanadian Food Inspection Agency
Fundersnot available
KeywordsMonoclonal antibodyBiologyMolecular biologyMicrobiologyAntibodyAntigenPolymerase chain reactionVirologyGeneBiochemistry

Abstract

fetched live from OpenAlex

A murine hybridoma cell line, named 6A6, was developed to produce monoclonal antibodies for serological detection of European potato strains of Erwinia chrysanthemi. The monoclonal antibodies were of the immunoglobulin G 2b type and were shown to react with a fimbrial antigen by immuno-gold electron microscopy, and with the fibrillin protein by Western blotting. In enzyme-linked immunosorbent assay (ELISA), the monoclonal antibody reacted with all but two strains of E. chrysanthemi isolated from potato. One non-reactive strain originated from Australia and therefore was likely a different biovar, and the other strain was of unknown origin. The monoclonal antibody also reacted with 20 out of 36 strains of E. chrysanthemi isolated from hosts other than potato. A triple-antibody ELISA test utilizing monoclonal antibody 6A6 successfully detected E. chrysanthemi in infected potato stems and tubers but sensitivity was limited to about 10 7 CFU/ml, compared to a sensitivity of 10 3 CFU/ml for a polymerase chain reaction test using published primers directed to the pectate lyase gene.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score0.319

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 head0.031
GPT teacher head0.243
Teacher spread0.212 · 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 teacher head, 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

Citations20
Published2000
Admission routes1
Has abstractyes

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