Proteomic analysis of long term salt responsive proteins in the halophyte Suaeda maritima
Bibliographic record
Abstract
A proteomic approach was carried out to identify proteins responsive to long term salt treatment in the halophyte Suaeda maritima. A 3-month-old S. maritima seedlings were hydroponically exposed to Modified Hoagland's treated with salt solution of 200mM were grown for a period of 14 days in a growth chamber maintained at 24 3C, 70-75% relative humidity with 14 h light (200 mol m -2 s -1 )/10 h dark cycle. The untreated set maintained in Modified Hoagland's solution was considered as control with similar conditions. Proteins extracted from the leaves of S. maritima control and salt treated seedlings were separated by Two-Dimensional gel electrophoresis (2DE). Using PDquest software analysis, we observed ~ 50 protein spots were reproducibly detected on gels, out of which 18 differentially expressed protein spots showed at least two-fold differences on 2DE maps some of them were up-regulated and few others were down-regulated in treated compared with the control. From that, we identified 6 up-regulated protein spots shows the maximum level of fold differences and these protein spots were performed trypsin digestion and Matrix Assisted Laser Desorption Ionization -Time of Flight (MALDI-TOF) analysis. The results showed that S. maritima could withstand up to 200mM NaCl for long term period of 14 days by up regulating proteins that are mainly involved in protein transport, vesicle trafficking, heme/iron binding, protein folding and assembly, chromosome segregation, cell maintenance. Our study has identified salt responsive proteins such as RAB2B, CYP71A8, SCC3 that are not previously identified by expressed sequence tag analyses or transcriptome analyses in this species. This is the first report of proteome analysis and provides insights into the molecular mechanisms of long term salt tolerance in S. maritima.
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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 | 0.000 | 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 | 0.001 | 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 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".