Unanticipated Large-Scale Deletion in Fusarium graminearum Genome Using CRISPR/Cas9 and Its Impact on Growth and Virulence
Bibliographic record
Abstract
Fusarium graminearum, a filamentous fungus, and causal agent of Fusarium head blight (FHB) in wheat and other cereals, leads to significant economic losses globally. This study aimed to investigate the roles of specific genes in F. graminearum virulence using CRISPR/Cas9-mediated gene deletions. Illumina sequencing was used to characterize the genomic changes due to editing. Unexpectedly, a large-scale deletion of 525,223 base pairs on chromosome 2, comprising over 222 genes, occurred in two isolates. Many of the deleted genes were predicted to be involved in essential molecular functions, such as oxidoreductase activity, transmembrane transporter activity, hydrolase activity, as well as biological processes, such as carbohydrate metabolism and transmembrane transport. Despite the substantial loss of genetic material, the mutant isolate exhibited normal growth rates and virulence on wheat under most conditions. However, growth rates were significantly reduced under high temperatures and on some media. Additionally, wheat inoculation assays using clip dipping, seed inoculation, and head point inoculation methods were performed. No significant differences in virulence were observed, suggesting that these genes were not involved in infection or alternative compensatory pathways, and allow the fungi to maintain pathogenicity despite the extensive genomic deletion.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".