Disruption of the NCS‐1/frequenin‐related <i>ncsA</i> gene in <i>Dictyostelium discoideum</i> accelerates development
Bibliographic record
Abstract
To learn more about the function of intracellular Ca2+ in Dictyostelium discoideum, we searched databases for sequences encoding potential members of the neuronal calcium sensor (NCS) family of Ca2+-binding proteins. As a result, genes for five new putative Ca2+-binding proteins were identified. Based on amino acid sequence alignments and phylogenetic analyses, one of these genes (ncsA) was determined to be closely related to NCS-1/frequenin genes in other organisms. The protein product of ncsA (NcsA) binds 45Ca2+ and exhibits a dramatic gel mobility shift in the presence of Ca2+, suggesting that it is a Ca2+ sensor. ncsA-null cells grow normally in axenic culture. However, on bacterial lawns, the ncsA-null clones expand slowly and development begins prematurely within the plaques. In larger clones, ncsA-null cells form narrow growth zones with evenly spaced aggregates along the inner edge, and closely packed fruiting bodies. An analysis of intracellular cyclic adenosine monophosphate (cAMP) levels, developmental timing on phosphate-buffered saline (PBS) agar, and stage-specific gene expression indicate that development of ncsA-null cells is accelerated by 3-4 h. Together, these results suggest that NcsA might function in Dictyostelium to prevent cells from entering development prematurely in the presence of environmental nutrients.
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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 | 0.000 | 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) | 0.001 | 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".