Isolation of BNYVV Coat Protein-Specific Single Chain Fv from a Mouse Phage Library Antibody
Bibliographic record
Abstract
Beet necrotic yellow vein virus (BNYVV) infects sugar beet plants worldwide and is responsible for the rhizomania disease and severe economic losses. Disease severity and lack of naturally occurring resistant plants make it very difficult to control the virus, both from epidemiological and economic standpoints. Therefore, early detection is vital to impose hygiene restrictions and prevent further spread of the virus in the field. Immunoassays are one of the most popular methodologies for the primary identification of plant pathogens including BNYVV since they are robust, sensitive, fast, and inexpensive. In this study, the major coat protein (CP21) of BNYVV was cloned and expressed in Escherichia coli. Thereafter, mice were immunized with purified CP21 and a phage antibody library was constructed from their PCR-amplified immunoglobulin repertoire. Following filamentous phage rescue of the library and four rounds of panning against recombinant CP21 antigen, several specific single chain Fv fragments were isolated and characterized. This approach may pave the way to develop novel immunoassays for a rapid detection of viral infection. Moreover, it will likely provide essential tools to establish antibody-mediated resistant transgenic technology in sugar beet plants.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".