Cloning, prokaryotic expression, and subcellular localisation of the <i>TaMAPK10-like</i> gene in common wheat
Bibliographic record
Abstract
Mitogen-activated protein kinase (MAPK/MPK) is a group of serine-threonine protein kinases that are activated by different extracellular stimuli. To explore the function of MAPK in wheat infected with powdery mildew, a new wheat germplasm N9134 was used to obtain the full-length MAPK gene and the MAPK sequence was used to identify its prokaryotic expression and subcellular localisation. Wheat MAPK was obtained by homologous gene cloning and designated as TaMAPK10-like. The open reading frame of TaMAPK10-like was 1638 bp, which coded a deduced protein of 545 amino acids. Phylogenetic analysis revealed that TaMAPK10-like was most closely related to MAPK10-like of Aegilops tauschii at the protein level. It had high nucleotide similarity with the reported MAPK gene in A. tauschii, Sorghum bicolor, and Setaria italica, and had features typical of MAPK family genes. Subcellular localisation showed that TaMAPK10-like was mainly located in the cytoplasm along the microtubules, and a small number were located in the cell membrane and the nucleus. A pMD-MAPK10-like fusion expression vector was constructed and the TaMAPK10-like fusion protein was 70 kDa. The expressions of protein in bacteria were best obtained using 0.5 mmol L−1 isopropyl β-d-1-thiogalactopyranoside at 37 °C for 12 h. These results provide the basic data for further understanding the biological function of the TaMAPK10-like gene.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".