Declining metal availability in the Mesozoic seawater reflected in phytoplankton succession
Bibliographic record
Abstract
Abstract Variable trace metal concentrations in the Precambrian ocean were closely linked to oxygen availability, although less is known about the drivers of seawater trace metal chemistry after the spread of complex life into the Phanerozoic eon. A major phytoplankton succession took place at the transition from the Palaeozoic to the Mesozoic era (~250 Myr ago), from an ocean dominated by the green Archaeplastida to secondary endosymbiotic algae with red-algal-derived plastids. Here, our comparative genomic analysis of 26 complete proteomes and metal domain analysis of additional 608 partially complete sequences of phytoplankton reveal that groups with different evolutionary history have distinct metal-binding proteins and contrasting metal acquisition strategies, adapted to differing availability of trace metals. The secondary-endosymbiont-bearing lineages are better adapted to well-oxygenated, nutrient-poor environments. This is supported by an enhanced thiol-based binding affinity of their transporters, coupled with minimized proteomic requirement for trace elements such as iron, copper and zinc at both protein and domain levels. Such different metal requirements across these lineages suggest a drastic decline in open-ocean trace metal concentrations at the inception of the Mesozoic, contributing to the shifts in phytoplankton communities that drove major changes in ocean chemical buffering.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".