Novel syntaxin gene sequences from<i>Giardia, Trypanosoma</i>and algae: implications for the ancient evolution of the eukaryotic endomembrane system
Bibliographic record
Abstract
SNAP receptors or SNARES are crucial components of the intracellular membrane system of eukaryotes. The syntaxin family of SNAREs have been shown to have roles in neurotransmission, vesicular transport, membrane fusion and even internal membrane compartment reconstruction. While syntaxins and SNAREs in general have been well characterized in mammalian and yeast models, little is known about their overall distribution across eukaryotic diversity or about the evolution of the syntaxin gene family. By combining bioinformatic, molecular biological and phylogenetic approaches, we demonstrate that various syntaxin homologs are not only present in 'eukaryotic crown taxa' but across a wide range of eukaryotic lineages. The alignment of evolutionarily diverse syntaxin paralogs shows that an isoleucine residue critical to nSec1-syntaxin complex formation and the characteristic syntaxin glutamine residue are nearly universally conserved, implying a general functional importance for these residues. Other identified functional residues involved in botulism toxicity and calcium-binding-protein interactions are also compared. The presence of Golgi-related syntaxins in the intestinal parasite Giardia intestinalis provides further evidence for a cryptic Golgi in this 'adictyosomal' taxon, and another likely case of secondary reduction in this parasite. The phylogeny of syntaxins shows a number of nested duplications, including a case of parallel evolution in the plasma membrane-associated syntaxins, and ancestral duplications in the other syntaxin paralogs. These speak to ancient events in the evolution of the syntaxin system and emphasize the universal role of the syntaxins in the eukaryotic intracellular compartment system.
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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 | 0.001 | 0.001 |
| 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".