Identification and Bioinformatics Analysis of ABC Transporter Gene Family in Hydrangea under Aluminum Stress
Bibliographic record
Abstract
ABC transporters is a type of transmembrane transporters widely found in prokaryotes and eukaryotes. They are involved in plant signal transduction, secondary metabolite transport and abiotic stress response. According to the transcriptome data of Hydrangea, this study was proposed analyze the members of ABC transporter gene family, physical and chemical properties, gene structure, phylogeny and gene expression patterns under aluminum stress using bioinformatics method. The results showed that there were 48 members of ABC transporter gene family in Hydrangea, which belonged to 7 subfamilies respectively, among which the C subfamily had the most members; the subcellular localization results showed that 50% of the family members were located on the plasma membrane; the physical and chemical properties and domain analysis showed that most of the ABC transporters were hydrophobic proteins, and different subfamilies had specific conserved motifs, but motif1 and motif2 were all present in hydrangea ABC transporter; A phylogenetic tree was constructed with 129 ABC transporters of Arabidopsis thaliana , and 48 ABC transporters from Hydrangea were clustered into 7 subfamilies of Arabidopsis thaliana respectively. The expression profile analysis showed that the HmABCA1, HmABCC1, HmABCC6, HmABCC14 and HmABCD1 gene were upregulated in the root and HmABCG1 gene were up-regulated in leaves after aluminum stress treatment. The results provide a reference for further study on aluminum tolerance and expression regulation of ABC transporter genes in hydrangea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 0.001 |
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".