Dynein contributes to spindle elongation during anaphase in <i>Candida albicans</i>
Bibliographic record
Abstract
Abstract Budding yeast must position the mitotic spindle at the mother-bud junction during anaphase to ensure proper chromosome segregation. Pushing and pulling forces on astral microtubules from dynein motors in the cell cortex are crucial for spindle positioning. In some higher eukaryotes and filamentous fungi, dynein also accelerates spindle elongation during anaphase, but in yeast model systems spindle elongation primarily relies on intra-spindle pushing forces from kinesin-5 motors. The pathogenic yeast Candida albicans is unique because its spindle can elongate without a functional kinesin-5. Our study helps explain C. albicans ’ diminished kinesin-5 requirement by showing that its dynein, Dyn1, collaborates with its kinesin-5, Kip1, to facilitate spindle elongation. Cells lacking Kip1 activity by either KIP1 deletion or Kip1 inhibition have more Dyn1 and astral microtubules, indicating spindle elongation happens through enhanced pulling on spindle pole body-bound astral microtubules by cortical Dyn1. When Dyn1 activity is depleted, spindle elongation speed is normal, but anaphase spindles persist for extended periods, and the number and length of astral microtubules increases. Depletion of both motors prevents spindle elongation and is lethal. The significance of astral microtubules in cells lacking either motor is highlighted by the lethal effects of microtubule-destabilizing drugs and exposure to low temperatures (8°C) that compromise microtubule stability. These findings demonstrate that C. albicans spindle elongation involves cooperative forces from Kip1 and Dyn1 to ensure chromosome separation during cell division and that C. albicans adapts to changes in abundance of these motors through alterations in their astral microtubule content.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".