Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The CRISPR/Cas9 system has emerged as a revolutionary tool for genome editing, offering unprecedented precision and efficiency in modifying genetic material. This systematic review focuses on the application of CRISPR/Cas9 technology in the biosynthesis of lignin in poplar species, highlighting recent advances and future prospects. Lignin, a complex polymer in the cell walls of plants, plays a crucial role in providing structural integrity and resistance to pathogens. However, its recalcitrance poses challenges for industrial processes such as pulping and biofuel production. Recent studies have demonstrated the potential of CRISPR/Cas9 to target and modify genes involved in lignin biosynthesis, thereby reducing lignin content and altering its composition to enhance industrial utility. Several research efforts have successfully employed CRISPR/Cas9 to edit lignin biosynthesis genes in poplar. For instance, the efficient knockout of the phytoene desaturase gene in Populus alba × Populus glandulosa using a single guide RNA (sgRNA) has shown promising results in generating targeted mutations with high efficiency. Similarly, the application of CRISPR/Cas9 in Populus tomentosa Carr. has demonstrated the system's capability to create precise genomic edits, resulting in significant phenotypic changes. Moreover, studies have evaluated the efficiency of various guide RNAs (gRNAs) in poplars, identifying key factors that influence gene editing success, such as GC content and the accessibility of the seed region. The review also discusses the broader implications of CRISPR/Cas9 technology in plant research, including its potential to enhance disease resistance, improve nutritional content, and develop drought-tolerant varieties Despite these advancements, challenges such as off-target effects and the need for efficient delivery methods remain. Future research directions include the development of high-fidelity Cas9 variants and the optimization of delivery systems to minimize off-target modifications and enhance editing efficiency.
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.
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 | 0.000 | 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) | 0.000 | 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