The fate of artificial transgenes in Acanthamoeba castellanii
Bibliographic record
Abstract
BACKGROUND: The soil amoeba Acanthamoeba castellanii is an emerging model organism with which to study a wide range of biomedical, microbiological, and evolutionary phenomena. While transformation systems were established for this organism more than two decades ago, the fate of artificial transgenes has not been well characterized. In this study, artificial transformation experiments were performed to investigate how the A. castellanii genome responds to foreign DNA presented in both circular and linear plasmid form. RESULTS: Nanopore sequencing was used as a high throughput method to screen for transgene DNA in the resulting transformant cultures, and candidate transgene integrations were identified. Molecular biology experiments were performed to validate the sequence data and provide additional context on the fate of transgenes. A method was devised to estimate the rate of read chimerism in nanopore sequencing runs and accurately account for the effects of read chimerism in identifying putative transgene integrations. Based on the experimental data in hand, a potential mechanism for transgene maintenance in A. castellanii is proposed, one in which incoming foreign DNA is tandemly duplicated and telomeres are added to the ends. CONCLUSIONS: Our results suggest that transformation of A. castellanii with foreign DNA leads to linear molecules that are maintained as telomere-containing, transgene-bearing minichromosomes, which may facilitate chromosomal integration. This process may allow lateral gene transfer by expanding the window of opportunity for exogenous DNA to be taken up and integrated into the A. castellanii genome. Similar mechanisms exist in other eukaryote groups, suggesting this may be a widespread feature of eukaryote genome biology.
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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) | 0.000 | 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 | 0.001 |
| 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 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".