Cloning and characterization of serpin-like genes from the striped rice stem borer,<i>Chilo suppressalis</i>
Bibliographic record
Abstract
Serpins, also called serine proteinase inhibitors, are widely distributed in eukaryotes. In insects, serpins play important roles in regulating immune responses, gut physiology, and other processes. Here, we report the cloning and characterization of 12 serpin-like cDNAs from the striped rice stem borer (Chilo suppressalis), a major rice pest. The putative proteins share significant sequence similarity with known insect serpins, especially those from lepidopterons. Analysis of functional domains revealed that nine of the cloned serpins are putative trypsin- or chymotrypsin-like inhibitors; two are mixed-type serpins that may act as inhibitors for trypsins, elastases, or thrombin; and the remaining one is truncate. The potential functions of these serpins in interacting with host plants were also investigated by analyzing tissue-specific expression and the impact of different host plant genotypes on gene expression. Our results provide a foundation for future studies on the role of serpins in gut physiology in the striped rice stem borer, and also useful information for comparative analyses of serpins from different insect species.
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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) | 0.001 | 0.001 |
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.
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".