Evolutionary Radiation Pattern of Novel Protein Phosphatases Revealed by Analysis of Protein Data from the Completely Sequenced Genomes of Humans, Green Algae, and Higher Plants
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Bibliographic record
Abstract
In addition to the major serine/threonine-specific phosphoprotein phosphatase, Mg(2+)-dependent phosphoprotein phosphatase, and protein tyrosine phosphatase families, there are novel protein phosphatases, including enzymes with aspartic acid-based catalysis and subfamilies of protein tyrosine phosphatases, whose evolutionary history and representation in plants is poorly characterized. We have searched the protein data sets encoded by the well-finished nuclear genomes of the higher plants Arabidopsis (Arabidopsis thaliana) and Oryza sativa, and the latest draft data sets from the tree Populus trichocarpa and the green algae Chlamydomonas reinhardtii and Ostreococcus tauri, for homologs to several classes of novel protein phosphatases. The Arabidopsis proteins, in combination with previously published data, provide a complete inventory of known types of protein phosphatases in this organism. Phylogenetic analysis of these proteins reveals a pattern of evolution where a diverse set of protein phosphatases was present early in the history of eukaryotes, and the division of plant and animal evolution resulted in two distinct sets of protein phosphatases. The green algae occupy an intermediate position, and show similarity to both plants and animals, depending on the protein. Of specific interest are the lack of cell division cycle (CDC) phosphatases CDC25 and CDC14, and the seeming adaptation of CDC14 as a protein interaction domain in higher plants. In addition, there is a dramatic increase in proteins containing RNA polymerase C-terminal domain phosphatase-like catalytic domains in the higher plants. Expression analysis of Arabidopsis phosphatase genes differentially amplified in plants (specifically the C-terminal domain phosphatase-like phosphatases) shows patterns of tissue-specific expression with a statistically significant number of correlated genes encoding putative signal transduction proteins.
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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) | 0.000 | 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 it