Integral Characterization of the 16S rRNA Gene of Non-sporulating Bacteria and Its Action Against Anticarsia gemmatalis Hübner (Lepidoptera: Erebidae)
Bibliographic record
Abstract
Brazil is the world’s largest producer of soybean (Glycine max), an extremely important legume due to its source of proteins and essential oils for humans and animals, besides to its applications in the various branches of industry. The velvetbean caterpillar [Anticarsia gemmatalis Hübner (Lepidoptera: Erebidae)] is a great pest that affects this crop and has been controlled by chemical and biological pesticides based on Bacillus thuringiensis. The objectives of this work were to prospect soil microorganisms, to characterize them using the 16S rRNA gene and to perform bioassays to analyze the lethality or subletality of these isolates against A. gemmatalis larvae. The DNA sequencing of the marker gene was complete, covering all conserved regions of it to determine the phylogenetic position of the isolates. Regarding to bioassays, subletality efficacy were low both for sporulant and for the non-sporulant bacterial strains tested. However, based on the signature by complete 16S rRNA analyses of the non-sporulating bacterial isolates, new characteristics worth of studying and prospecting biotechnologically became available.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".