Семейство <i> OsDUF810 </i> риса: OsDUF810.7 может быть вовлечен в механизмы соле- и засухоустойчивости
Bibliographic record
Abstract
With the advance of sequencing technology, the number of sequenced plant genomes has been rapidly increasing. However, understanding of the gene function in these sequenced genomes lags far behind; as a result, many coding plant sequences in public databases are annotated as proteins with domains of unknown function (DUF). Function of a protein family DUF810 in rice is not known. In this study, we analysed seven members of OsDU810 (OsDUF810.1-OsDUF810.7) family with three distinct motifs in rice Nipponbare. By phylogenetic analysis, OsDUF810 proteins fall into three major groups (I, II, III). Expression patterns of the seven corresponding OsDUF810 protein-encoding genes in 15 different rice tissues vary. Under drought, salt, cold and heat stress conditions and ABA treatment, the expression of OsDUF810.7 significantly increases. Overexpression of this protein in E. coli lead to a significant enhancement of catalase (CAT) and peroxidase (POD) activities, and improved bacterial resistance to salt and drought.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".