Transcriptional landscape of the cell cycle in a model thermoacidophilic archaeon reveals similarities to eukaryotes
Bibliographic record
Abstract
Similar to many eukaryotes, the thermoacidophilic archaeon Saccharolobus islandicus follows a defined cell cycle program, with two growth phases, G1 and G2, interspersed by a chromosome replication phase (S), and followed by genome segregation and cytokinesis (M-D) phases. To study whether and which other processes are cell cycle-coordinated, we synchronized cultures of S. islandicus and performed an in-depth transcriptomic analysis of samples enriched in cells undergoing the M-G1, S, and G2 phases, providing a holistic view of the S. islandicus cell cycle. We show that diverse metabolic pathways, protein synthesis, cell motility and even antiviral defense systems, are expressed in a cell cycle-dependent fashion. Moreover, application of a transcriptome deconvolution method defined sets of phase-specific signature genes, whose peaks of expression roughly matched those of yeast homologs. Collectively, our data elucidates the complexity of the S. islandicus cell cycle, suggesting that it more closely resembles the cell cycle of certain eukaryotes than previously appreciated. The cell cycle of the archaeon Saccharolobus islandicus displays similarities to that of eukaryotic cells. Here, the authors use transcriptomic analysis of synchronized cultures to show that various metabolic pathways, cell motility, and antiviral defense systems are cell cycle-regulated in this organism.
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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) | 0.000 | 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".