CRISPR/Cas9-induced Targeted Mutagenesis and Gene Replacement to Generate Long-shelf Life Tomato Lines
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Quickly and precisely gain genetically enhanced breeding elites with value-adding performance traits is desired by the crop breeders all the time. The present of gene editing technologies, especially the CRISPR/Cas9 system with the capacities of efficiency, versatility and multiplexing provides a reasonable expectation towards breeding goals. For exploiting possible application to accelerate the speed of process at breeding by CRISPR/Cas9 technology, in this study, the Agrobacterium tumefaciens -mediated CRISPR/Cas9 system transformation method was used for obtaining tomato ALC gene mutagenesis and replacement, in absence and presence of the homologous repair template. The average mutation frequency (72.73%) and low replacement efficiency (7.69%) were achieved in T 0 transgenic plants respectively. None of homozygous mutation was detected in T 0 transgenic plants, but one plant carry the heterozygous genes ( Cas9 / * - ALC / alc ) was stably transmitted to T 1 generations for segregation and genotyping. Finally, the desired alc homozygous mutants without T-DNA insertion (*/*- alc / alc ) in T 1 generations were acquired and further confirmed by genotype and phenotype characterization, with highlight of excellent storage performance, thus the recessive homozygous breeding elites with the character of long-shelf life were generated. Our results support that CRISPR/Cas9-induced gene replacement via HDR provides a valuable method for breeding elite innovation in tomato.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 it