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Record W2104583650 · doi:10.1139/w09-064

Strain construction for enhanced production of spinosad via intergeneric protoplast fusion

2009· article· en· W2104583650 on OpenAlex
Chao Wang, Xiaolin Zhang, Zhi Chen, Ying Wen, Yuan Song

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
TopicEntomopathogenic Microorganisms in Pest Control
Canadian institutionsnot available
Fundersnot available
KeywordsProtoplastSpinosadStrain (injury)BiologyStreptomyces avermitilisBotanyMicrobiologyStreptomycesGeneticsBacteriaPesticide

Abstract

fetched live from OpenAlex

Spinosad is a new class of insecticides produced by Saccharopolyspora spinosa. The aim of this study was to construct a starch-utilizing strain that overproduced spinosad by intergeneric fusion between S. spinosa and Streptomyces avermitilis. Protoplast fusion is an important technique for engineering microbial strains, especially for microorganisms with few available molecular genetic tools. Protoplast fusion was conducted with UV-irradiated protoplasts of S. spinosa and S. avermitilis. Among 76 recombinants screened by ESI-MS and HPLC, a starch-utilizing strain F17, identified as S. spinosa, was obtained. The yield of spinosad in F17 was increased by 447.22%, compared with the yield of the wild-type strain. This is the first report of intergeneric protoplast fusion between S. spinosa and S. avermilitis, which shows great potential for industrial applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.421

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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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