Genome-wide analysis of soybean MLPs reveals evolutionary and structural insights into drought, salt stress and ABA responses
Bibliographic record
Abstract
The major latex protein (MLP) gene family, which is part of the Bet v 1 superfamily, is known for its roles in plant development and stress responses. However, the MLP gene family in soybean (Glycine max) remains insufficiently characterized. In this study, we systematically identified 17 MLP genes (GmMLPs) containing the conserved Bet v 1 domain within the soybean genome. These genes were classified into three subgroups—Type I, Type II, and Type III—based on sequence similarity and phylogenetic analysis. Chromosomal mapping revealed an uneven distribution of GmMLPs across the 20 soybean chromosomes, with a tendency to cluster in the lower arm regions, indicating nonrandom chromosomal localization. Gene structure analysis revealed that most GmMLPs contain a single intron, whereas a few, such as GmMLP3 and GmMLP4, possess multiple introns, reflecting structural diversity within the gene family. Expression profiling using qRT‒PCR demonstrated that several GmMLPs are responsive to abscisic acid (ABA), drought, and salt stress, suggesting potential roles in abiotic stress responses. These findings provide a comprehensive foundation for future functional studies of the role of GmMLPs in stress tolerance and adaptation in soybean.
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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 | 0.001 | 0.001 |
| 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".