Organelle translocation and blue light inhibition of hyphal tip growth in the fungus Rhizopus arrhizus
Bibliographic record
Abstract
In the 1990s I worked nutrient translocation in fungal mycelia. These works mainly used radioactive tracing to measure nutrient translocation. In parallel with that work I developed methods for studying the translocation of the large lipid bodies in the Zygomycete fungus Rhizopus arrhizus utilizing the then just available CCD cameras and video rate image analysis systems. None of these works became published at the time since I changed university and also changed area to some extent. Two works that are connected are now made available. They concern organelle translocation and blue light inhibition of hyphal tip growth. What is of main interest today is that organelles were found to travel along intracellular microtubular pathways. This is today well known but the sensitivity of this particular fungus to perturbation was extreme. A short opening of the Petri dish completely upset the orderly pattern of organelle translocation in the hyphae and replaced with a bulk flow that is what is normally observed for these coencytic fungi. Thus microscopy had to be performed with undisturbed hyphae inside the Petri avoiding opening the Petri for more than a few seconds. During that work it also became clear that lighting the hyphae for very short times with 450-490 nm blue light used to excite FITC or GFP for fluorescence microscopy quickly stopped organelle translocation. The other shot note investigate if such short light exposure also inhibit the hyphal tip growth rate and it does. Comment: These works were originally presented as a posters at Fifth International Mycological Congress, Vancouver, BC, Canada, August 14 - 21, 1994. They are now made available as a preprints. The Organelle translocation poster in its Manuscript version from 1998 version since colleagues have asked for the data. The Organelle translocation work was not published then since reviewers had problems accepting both digital images and image processing in Science since they still regarded photo and film as "objective and unbiased" observations. Using digital techniques to make things visible that the eyes cannot see was suspect. NOTE: These preprints can be cited but citation year should be 1995 for the Blue Light work 1998 for the Organelle translocation work since the citations and the discussion has not been updated. Anyone thinking these works are worth publishing with peer review should feel free to help me update them. Contact me first and I will then make you first author for the submission if you are interested. Email: stefan@olssonstefan.com
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".