Salt-Stress Induced Protein Pattern Related to Seed Germination Indices in Lemon Balm (Melissa officinalis L.)
Bibliographic record
Abstract
Salinity is one of the major environmental stress factors that cause many adverse effects on growth and productivity of plants. The objective of the present study was to investigate the effects of salinity levels on seed germination indices and protein patterns in Melissa offcinalis seedlings. An experiment was carried out based on randomized complete block design with five concentrations of NaCl and four replicates with sand medium. The results indicated that salt stress had negative effects on the seed germination percentage (GP), mean germination time (MGT) and germination rate (GR), primary shoot and root length, as well as the protein content. After two days of salt exposure, the lowest (0%) GP was obtained for seeds treated with 12 dSm-1 salinity, as compared to the control (48.5%). Although, high salinity levels delayed seed germination, but during the experimental period GP increased and no significant differences were observed among the treatments in terms of GP after two weeks. The highest MGT (4.97 days) was obtained for plants stressed with 12 dSm-1 salinity level, as compared to the control (1.89 days). Analysis of the protein bands revealed that salinity suppressed the expression of two proteins with the size of 45 (Y1), and 40 kDa (Y2) and protein of 60 kDa (D1) was down-regulated. Also, the synthesis of four proteins of 70 (X1), 30 (X2), 25 (X3), and 20 kDa (X4) was induced in the seedlings under salinity stress. The changes in protein pattern under salinity stress indicated that the synthesis of new proteins may be associated to the stress specific proteins.
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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".