Bibliographic record
Abstract
The Golgi is an ancient and fundamental eukaryotic organelle. Evolutionary cell biological studies have begun establishing the repertoire, processes, and level of complexity of membrane-trafficking machinery present in early eukaryotic cells. This article serves as a review of the literature on the topic of Golgi evolution and diversity and reports a novel comparative genomic survey addressing Golgi machinery in the widest taxonomic diversity of eukaryotes sampled to date. Finally, the article is meant to serve as a primer on the rationale and design of evolutionary cell biological studies, hopefully encouraging readers to consider this approach as an addition to their cell biological toolbox. It is clear that the major machinery involved in vesicle trafficking to and from the Golgi was already in place by the time of the divergence of the major eukaryotic lineages, nearly 2 billion years ago. Much of this complexity was likely generated by an evolutionary process involving gene duplication and coevolution of specificity encoding membrane-trafficking proteins. There have also been clear cases of loss of Golgi machinery in some lineages as well as innovation of novel machinery. The Golgi is a wonderfully complex and diverse organelle and its continued exploration promises insight into the evolutionary history of the eukaryotic cell.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".