<em>Agrobacterium tumefaciens</em>-Mediated Genetic Engineering of Green Microalgae, <em>Chlorella vulgaris</em>
Bibliographic record
Abstract
Agrobacterium tumefaciens-mediated transformation (AMT) serves as a widely employed tool for manipulating plant genomes. However, A. tumefaciens exhibit the capacity for gene transfer to a diverse array of species. Numerous microalgae species lack well-established methods for reliably integrating genes of interest into their nuclear genome. To harness the potential benefits of microalgal biotechnology, simple and efficient genome manipulation tools are crucial. Herein, an optimized AMT protocol is presented for the industrial microalgae species Chlorella vulgaris, utilizing the reporter green fluorescent protein (mGFP5) and the antibiotic resistance marker for Hygromycin B. Mutants are selected through plating on Tris-Acetate-Phosphate (TAP) media containing Hygromycin B and cefotaxime. Expression of mGFP5 is quantified via fluorescence after over ten generations of subculturing, indicating the stable transformation of the T-DNA cassette. This protocol allows for the reliable generation of multiple transgenic C. vulgaris colonies in under two weeks, employing the commercially available pCAMBIA1302 plant expression vector.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".