Genome-Wide Identification of the PLATZ Gene Family and Its Roles in Stress Responses in Flax (Linum usitatissimum L.) Based on the Telomere-to-Telomere Genome
Bibliographic record
Abstract
The PLATZ gene family influences plant growth, development, and responses to both biotic and abiotic stresses. Flax (Linum usitatissimum L.), an important oilseed and fiber crop, has not been extensively studied for its PLATZ genes. In this study, 27 LuPLATZ genes were identified in the recently assembled T2T (Telomere-to-Telomere) flax genome through bioinformatics analyses. Phylogenetic analysis grouped these genes into five subfamilies. Examination of gene structure and motifs showed conserved exon–intron arrangements and similar motif compositions within the same clade. Promoter analysis revealed that most cis-elements are associated with plant hormone responses (such as MeJA and ABA) and abiotic stresses, including anaerobic induction, drought, and low temperature. Duplication analysis identified 33 segmental duplication events, and miRNA target prediction indicated that lus-miR167 is the primary regulator of LuPLATZ genes. Expression profiling based on RNA-seq data showed high expression levels of most LuPLATZ genes in leaves and roots, and qRT-PCR confirmed their stress-responsive expression under cold, drought, and salt conditions, with LuPLATZ14 and LuPLATZ21 significantly upregulated in all treatments. Furthermore, overexpression of these two genes enhanced drought tolerance in yeast transformants.
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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".