Transgenic Cowpea Expressing Synthetic <i>Bt</i> Cry1Ab Confers High Resistance to Legume Pod Borer ( <i>Maruca vitrata</i> )
Bibliographic record
Abstract
Abstract Cowpea, an important food legume crop, suffers significant yield losses due to insect pests, particularly the legume pod borer ( Maruca vitrata ). Narrow genetic base and lack of sufficient resistance to M. vitrata in existing cowpea germplasm, make them less effective in managing M. vitrata populations. To address this challenge, a transgenic approach is explored. In this study, we develop transgenic cowpea with enhanced resistance to M. vitrata by overexpressing a synthetic cry1Ab gene, driven by constitutive CaMV35S viral promoter, in an Indian cowpea cultivar. High expression of Cry1Ab was detected in leaves and pods. Bioassays with M. vitrata and Helicoverpa armigera larvae demonstrated significant resistance of transgenic lines to these lepidopteran pests. The transgenic lines exhibited reduced pod damage, decreased larval feeding, and increased insect mortality compared to non-transgenic controls. NMR analysis demonstrated absence of any new metabolites in transgenic plants. Furthermore, these transgenic lines showed no penalty on growth and development. The transgenic lines exhibited no observable phenotypic drawbacks, indicating their promise for sustainable agricultural practices. Our findings suggest that these transgenic cowpea lines could offer broad-spectrum protection against these pests, providing an effective pest management solution.
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 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 | 0.000 |
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".