CRISPR-Cas9 gene insertion in Epichloë species
Bibliographic record
Abstract
The dairy, meat, and fibre industries in several regions within New Zealand are heavily reliant on selected strains of endophytic fungi, within the genus Epichloë, which confer resistance to a range of insect pests and environmental pressures when in symbiosis with pasture cultivars. Unfortunately, some fungal strains are historically intractable to genetic manipulation, therefore preventing investigation into novel traits. Only recently with the development of CRISPR-Cas systems, a revolutionary gene editing tool, was CRISPR-Cas9 successfully used on one of these intractable strains, Epichloë sp. LpTG-3 strain AR37, to create targeted gene disruptions. This study focused on CRISPR-Cas9 targeted gene insertion capabilities in Epichloë spp. CRISPR-Cas9 was successfully deployed to precisely insert 236 bp of coding sequence from a critical condensation domain of the perA gene, missing in the genetically intractable Epichloë festucae var. lolii strain AR48. CRISPR-Cas9 was also successfully deployed to insert the reporter gene gfp into a precise location within the indole diterpene pathway, a known secondary metabolite pathway in AR37. This research illustrated the ability of CRISPR-Cas9 to repair or insert genes in genetically intractable Epichloë species, with the potential for reconstruction of secondary metabolite pathways for novel compound production and delivery into New Zealand’s pasture-based agricultural 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".