Genome-wide identification and expression analysis of aquaporin gene family related to abiotic stress in watermelon
Bibliographic record
Abstract
The plant aquaporins (AQPs) are highly conserved integral membrane proteins that participate in multiple developmental processes and responses to various stresses. In this study, a total of 35 AQP genes were identified in the watermelon genome. The phylogenetic analysis showed that these AQPs can be divided into five types, including 16 plasma membrane intrinsic proteins (PIPs), eight tonoplast intrinsic proteins (TIPs), eight nodulin 26-like intrinsic proteins (NIPs), two small basic intrinsic proteins (SIPs), and one uncategorized X intrinsic protein (XIP). A number of cis-elements related to plant responses to hormones and stresses were detected in the promoter sequences of ClAQP genes. Chromosome distribution analysis revealed that the genes are unevenly distributed on eight chromosomes, with chromosomes 1 and 4 possessing the most genes. Expression analysis at different developmental stages in flesh and rind indicated that most of ClAQPs have tissue-specific expression. Meanwhile, some other AQP genes showed differential expression in response to cold, salt, and ABA treatments, which is consistent with the organization of the stress-responsive cis-elements detected in the promoter regions. Our results lay a foundation for understanding the specific functions of ClAQP genes to help the genetic improvement of watermelon.
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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".