REDUCTION AND TRANSPORT OF ORGANICALLY BOUND IRON BY <i>THALASSIOSIRA OCEANICA</i> (BACILLARIOPHYCEAE)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Thalassiosira oceanica (Hustedt) Hasle et Heimdal (clone 1003) attained rapid rates of growth in low Fe seawater containing the siderophore ferrioxamine B (FeDFB) as the sole Fe source. Short‐term rates of Fe uptake were 10 9 times faster than those predicted from the equilibrium concentration of inorganic Fe, suggesting that FeDFB was the substrate for the Fe transport system. An extracellular reduction step, mediated by a cell surface reductase, preceded Fe transport from FeDFB and was induced under Fe limitation. The half‐saturation constant for the reduction was 0.68 μM. Iron reduction rates were two times faster than uptake rates, so that the activities of the reductase and the transporter were tightly coupled. The rates of Fe reduction of a number of Fe chelators, including synthetic organic ligands (nitrilotriacetate, diethylenetriaminepentaacetate, and EDTA) and fungal siderophores (desferrioxamine B and desferrioxamine E), were inversely proportional to the ratio of the stability constants of their Fe(III) and Fe(II) complexes and varied by a factor of two times, like the redox potentials of the Fe complexes. Platinum (II), a known inhibitor of Fe reductase activity, appeared to reduce the rates of Fe uptake from FeDFB but not from inorganic complexes. The results suggested that reoxidation of Fe(II) produced by reduction may be a necessary part of the Fe internalization reaction. Ferric reductase could be relevant to phytoplankton nutrition in the open sea where organic Fe complexes dominate the dissolved speciation and where the concentration of inorganic Fe is limiting.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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 it