Epigenetic silencing and host genome evolution determine fate of viral insertions in <i>Acanthamoeba</i>
Bibliographic record
Abstract
ABSTRACT Acanthamoeba is a cosmopolitan freshwater amoebae known for its association with Nucleocytoplasmic Large DNA Viruses (NCLDVs). Previous studies have shown that Acanthamoeba spp. undergo lateral gene transfer (LGT) with NCLDVs. Here we have leveraged chromosome-scale assemblies of two strains of Acanthamoeba castellanii , Neff and C3, to investigate the occurrence and genomic context of viral LGT in Acanthamoeba . We show that the viral ‘footprints’ in the C3 and Neff genomes are largely non-overlapping and that viral genes in Neff are found disproportionately in large sub-telomeric insertions. Multiple partial copies of these insertions are found throughout the Neff genome, but they are not expressed and do not encode functions for their own mobility. Viral regions are hyper-methylated and highly condensed, suggesting that the expression of recently acquired viral DNA is suppressed in heterochromatic regions. We propose a three-step model for the origin and fate of viral sequences in Acanthamoeba : (i) integration of DNA from giant viruses, (ii) epigenetic suppression of the viral DNAs, which allows them to persist in the genome, and (iii) deterioration of viral genomes by point mutation and intra- and inter-chromosomal recombination. Viral integrations in Acanthamoeba spp. are transient and may not have long-lasting effects on the fitness of the host amoeba. Our work strengthens a growing body of work showing widespread but transient integration of viral DNA in protists and extends the relevance of epigenetic silencing mechanisms to the evolution of Amoebozoa . We highlight the importance of host genome dynamics for understanding the evolution of endogenized viral elements.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".