Rapid tip-directed movement of Golgi equivalents in growing Aspergillus nidulans hyphae suggests a mechanism for delivery of growth-related materials
Bibliographic record
Abstract
Golgi equivalents (GEs) process materials in the fungal secretory pathway. Despite the importance of localized secretion in fungal tip growth, GE behaviour in living hyphae has not been documented. The distribution was monitored of an Aspergillus nidulans putative GE-associated protein, CopA, tagged with GFP (CopA-GFP). This co-localized with a Golgi body/GE marker established in other systems, alpha-2,6-sialyltransferase, tagged with red fluorescent protein (ST-RFP). CopA-GFP and ST-RFP distributions responded similarly to brefeldin A, which impairs Golgi/GE trafficking. We used a CopA-GFP, hypA1 strain to study GE distribution and behaviour in growing A. nidulans hyphae. This strain has a wild-type phenotype at 28 degrees C, can be manipulated by changing growth temperature or by use of cytoskeleton inhibitors, and its GE behaviour is consistent with that in a wild-type-morphology strain. A. nidulans GEs were more abundant at hyphal tips than subapically, and showed saltatory motility in all directions. Anterograde GE movements predominated. These were positively correlated with, but at least 10-fold faster than, hyphal growth rate, under all growth and experimental conditions investigated. The actin inhibitor latrunculin B reduced both anterograde GE movement and hyphal growth rate, whereas the microtubule (MT) depolymerizer benomyl increased anterograde GE movement and decreased hyphal growth rate. The MT stabilizer taxol increased A. nidulans GE movement but not hyphal growth rate. A. nidulans GE motility appears to have a complex dependence on both actin and MTs. We present a model for apical delivery of growth materials in which A. nidulans GEs play a role in long-distance transport.
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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) | 0.001 | 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".