Cation/Proton Antiporter Genes in Tomato: Genomic Characterization, Expression Profiling, and Co-Localization with Salt Stress-Related QTLs
Bibliographic record
Abstract
The cation/proton antiporter (CPA) family represents a class of transmembrane transporter proteins that play a crucial role in plants during high salinity stress by maintaining the cell’s ionic balance and pH homeostasis. So far, the CPA genes have not been systematically characterized in tomato (Solanum lycopersicum). In this study, we identified and analyzed 33 putative CPA genes in tomato. Phylogenetic analysis showed that tomato CPAs could be classified into three subgroups, i.e., CHX (18 genes), KEA (8 genes), and NHX (7 genes). CPA genes within each subgroup shared similar motifs, conserved catalytic domains and gene structure. Further analysis revealed that the CPA genes were unevenly distributed on the chromosomes and segmental duplication events played a major role in the expansion of the CPA gene family in tomato. Gene expression analysis exhibited that CPA genes were differentially expressed in different tissues, various stages of fruit development, and differentially regulated in response to abiotic stresses, especially salt stress. Further, co-localization of tomato CPA genes with quantitative trait loci (QTL) of salt stress-related phenotypes revealed their broader functions in salt stress tolerance. Finally, predicted protein–protein interactions of tomato CPAs, gene ontology analysis, and the presence of putative cis-elements in the promoter further support the diverse role of tomato CPAs in plant development and plant stress tolerance. In brief, this study highlights the potential role of tomato CPAs in plant development and abiotic stress tolerance, especially in salt stress, and provides comprehensive information to explore new candidate genes for salt tolerance in tomato.
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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 | 0.000 |
| 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".