Review of Mikrocytos microcell parasites at the dawn of a new age of scientific discovery
Bibliographic record
Abstract
The genus Mikrocytos is traditionally known for Mikrocytos mackini, the microcell parasite that typically infects Pacific oysters along the west coast of North America. Multiple factors have conspired to create difficulty for scientific research on Mikrocytos parasites. These include their tiny cell size, infections that are often of light intensity, lack of suitable cell lines and techniques for in vitro culture, and the seasonal nature of infections. The extreme rate of molecular evolution in Mikrocytos stymied new species discovery and confounded attempts to resolve its phylogenetic position for many years. Fortunately, 2 recent landmark studies have paved the way forward for future research by drastically changing our understanding of the evolution and diversity of these parasites. No longer an orphan eukaryotic lineage, the phylogenetic placement of Mikrocytos has been confidently resolved within Rhizaria and as sister taxon to Haplosporidia. The genus has also found a taxonomic home within the newly-discovered order, Mikrocytida - a globally distributed lineage of parasites infecting a wide range of invertebrate hosts. Here we review available scientific information on Mikrocytos parasites including their evolution and diversity, host and geographic ranges, epizootiology, and detection of the regulated pathogen, M. mackini. We also make recommendations towards a consistent taxonomic framework for this genus by minimally suggesting the use of 18S rDNA sequence, host species information, and histopathological presentation in new species descriptions. This is timely given that we are likely embarking on a new era of scientific advancements, including species discovery, in this genus and its relatives.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".