Transgenic <i>Miscanthus lutarioriparius</i> that co-expresses the <i>Cry 2Aa<sup>#</sup></i> and <i>Bar</i> genes
Bibliographic record
Abstract
Miscanthus lutarioriparius, a domestic species of China, belongs to the genus of perennial rhizomatous Miscanthus and is a promising energy crop for biomass production. To establish an Agrobacterium tumefaciens transformation protocol and obtain transgenic plants co-expressing the Cry 2Aa# and Bar genes, an Agrobacterium-mediated transformation method for M. lutarioriparius was developed in this study. To inhibit tissue browning, optimized callus induction and regeneration media were developed. Embryogenic calli were efficiently induced from immature inflorescences on Murashige & Skoog (MS) medium containing 0.2 g L−1 citric acid. Agrobacterium tumefaciens EHA105 carrying pC3300 with the Cry 2Aa# and Bar genes were introduced into embryogenic calli. Six transgenic lines were selected by Basta screening and confirmed by genomic PCR. The herbicide tolerance of M. lutarioriparius transgenic plants was verified by spraying with glufosinate and expression of the Cry 2Aa# protein by ELISA. Therefore, an Agrobacterium-mediated transformation protocol for M. lutarioriparius was established and the co-expression of herbicide tolerance and Cry 2Aa# was successfully introduced with the system.
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".