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Record W1890228674 · doi:10.5376/mp.2011.02.0005

Cloning and Prokaryotic Expression of <i>Apple Stem Pitting Virus</i> CP Gene in Ya Pear in <i>E. coli</i>

2011· article· en· W1890228674 on OpenAlexvenueno aff

Bibliographic record

VenueMolecular Pathogens · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCloning (programming)PEARBiologyGeneMolecular biologyGeneticsHorticulture

Abstract

fetched live from OpenAlex

Abstract In order to clarify evolutionary relationship and genetic diversity of apple stem pitting virus (ASPV), and preparation the corresponding special antiserum. In this study, total RNA was extracted from phloem tissue of Ya (Y) pear which infected by ASPV and used as template for cDNA synthesis. The coat protein (CP) gene of ASPV was cloned and sequenced. The CP gene of Ya pear was cloned into expression vector PET-28a, and transformed into E . coli BL21 (DE3), and SDS-PAGE electrophoresis analysis. The results showed that the complete CP gene consisted of 1 194 nucleotides and encodes a polypeptide of 397 amino acid (aa). Comparison of the amino acid sequences of Ya pear CP gene with other ASPV isolates showed approximately 70% similarity. Phylogenetic tree showed that all isolates of the coat protein (CP) genes of ASPV isolates at AA sequence revealed three groups. All ASPV isolates from apple were clustered to group I, whereas pear were clustered to groups â…i (except NC_003462) and the Ya pear were clustered into group â…¢. Results of SDS-PAGE showed that specific expression of a 42 kD fusion protein was achieved by the inducing of 1 mmol/L IPTG. The complete CP gene and prokaryotic expression vector of Ya pear provided additional baseline data for preparation recombinant polyclonal antibody of ASPV and further study of ASPV molecular biology.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.227
Teacher spread0.198 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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