Breaking the “one nucleus, one whole genome” rule: <i>Neurospora crassa</i> separates its haploid chromosomes into different nuclei
Bibliographic record
Abstract
Abstract The nucleus is a defining feature of eukaryotic cells, compartmentalizing the genome to enable precise regulation of diverse cellular processes. The long-standing paradigm in textbooks states that each nucleus carries at least a complete haploid genome —the “one nucleus, one whole genome” rule. A striking exception was recently uncovered: in two sclerotia-forming plant pathogenic fungi in the Sclerotiniaceae family, Sclerotinia sclerotiorum and Botrytis cinerea , haploid chromosomes are irregularly distributed across multiple nuclei. However, whether such phenomenon occurs in other eukaryotes, particularly in non-pathogenic fungi, is unclear. Through a literature survey, we identified many fungi that can potentially also separate their haploid chromosomes across different nuclei. Interestingly, Neurospora crassa , a foundational fungal genetics model, came out as a candidate. Its conidia, typically containing two or three nuclei, were believed to harbor a complete haploid genome within each nucleus. However, using approaches including chromosome counting, flow cytometry, and fluorescence in situ hybridization, we found that haploid chromosomes in N. crassa can be unevenly distributed among multiple nuclei. These findings challenge longstanding assumptions in fungal genetics and provide new directions for investigating genome organization. Our results indicate that the organisms violating the “one nucleus, one whole genome” rule are beyond sclerotia-forming pathogenic fungi. Since over 90% of fungi have not even been described, we propose that many more of them may likewise partition their genomes non-uniformly across nuclei, a process that could facilitate their adaptation and evolution.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".