Single nucleotide polymorphisms and structural variants reveal complex and variable ploidy in the amoebozoan <i>Acanthamoeba castellanii</i>
Bibliographic record
Abstract
Abstract Acanthamoeba castellanii is a free-living amoeba that is emerging as a model organism for the study of eukaryotic microbiology. It is one of the most widely studied members of the Amoebozoa, and is both an important grazer in soil communities and an opportunistic human pathogen; A. castellanii is thus of evolutionary, ecological, and biomedical significance. Despite its potential as a lab workhorse, the genome biology of A. castellanii is complex and poorly understood. Polyploidy is a common feature of many amoebozoan genomes, and members of the genus Acanthamoeba are no exception; they appear to be not only polyploid, where genome copy number is inflated beyond the conventional haploid and diploid states, but also aneuploid, i.e., with inter-chromosomal copy number variation. To better understand aneuploidy in A. castellanii and how it may vary over time and between closely related strains, we analyzed nanopore and Illumina sequence datasets from several wild-type and mutant A. castellanii lines, with a focus on quantifying single nucleotide polymorphism (SNP) and structural variant allele frequencies across chromosome-scale scaffolds. Our findings suggest that intragenomic chromosome copy number is highly variable in Acanthamoeba and can change dynamically even over laboratory time scales. Significance Statement Acanthamoeba castellanii is becoming an important model organism for basic and applied research. However, its apparent polyploidy and aneuploidy has the potential to complicate the interpretation of results that depend on knowledge of gene copy number. In this study, we reveal the complex nature of ploidy in this organism by analyzing long- and short-read sequence data. Our results provide a reference point against which genomic and experimental data from A. castellanii can be interpreted, and guide future efforts aimed at more precisely characterizing how the organism regulates its genome and chromosome copy number.
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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 | 0.001 | 0.001 |
| 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".