Newly obtained genome of fungi-related amoeba is enriched with genes shared with animals-related protists
Bibliographic record
Abstract
Abstract Nuclearariids are a group of Opisthokonta, forming the deepest branch in Holomycota - one of the two major Opisthokonta clades, containing Fungi as a crawn group. They are the only members of Holomycota retaining the filose amoeboid state ancestral for Opisthokonta. The newly assembled genome of Nuclearia thermophila (Holomycota, Rotosphaerida) had a total length of 49 Mb, 15 321 protein-coding genes and a GC percentage of 44%. This is the first sequenced genome for this genus and the the third for Rotosphaerida as a whole. It was shown that N. thermophila shares more protein domains with Holozoa, than with the rest of Holomycota. Protein domains that were presumably acquired or lost by the common ancestors of the Holomycota and Holozoa groups were identified. The Holomycota ancestor had probably more gains and losses of protein domains compared to the Holozoa ancestor, which is particularly true for metabolism-related domains. However, this trend should be confirmed by studying the genomes of free-living organisms of the Teretosporea group.
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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".