Phylogenetic diversity of eukaryotic marine microbial plankton on the Scotian Shelf Northwestern Atlantic Ocean
Bibliographic record
Abstract
Phytoplankton on the Scotian Shelf (SS) are well studied using microscopy and flow cytometry (FCM). These tools provide a picture of a diatom dominated spring bloom, and summer–autumn communities dominated by the cyanobacterium Synechococcus. FCM studies have shown that non-diatom microbial eukaryotes are present throughout the year, but the diversity and seasonality of these often smaller difficult to identify species are not well known. We investigated the taxonomic identity of surface and sub-chlorophyll maxima communities, using cloning and sequencing of the 18S rRNA gene, in April and October, along two inshore to offshore transects. Here, we report new taxonomic records and evidence of novel taxa in this well-studied system. For example, during April, previously unreported Phaeocystis spp. were recovered and picophytoplankton 'patches' identified from FCM were marked by the Bolido-Parmales complex. The October communities were phylogenetically diverse with chlorophytes more prevalent. Among heterotrophic taxa, choanoflagellates were characteristic of April along with two clades of uncultivated marine stramenopiles (MAST) clades; MAST-7 and MAST-1. In contrast, MAST-4 was more prevalent in October. There were also onshore versus offshore differences, with the April offshore communities more similar to October communities, reflecting nutrient draw-down and a post-bloom community offshore in April.
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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".