Identification and characterization of the WRKY transcription factor family in <i>Pinus monticola</i>
Bibliographic record
Abstract
The WRKY gene family represents an ancient and highly complex group of transcription factors involved in signal transduction pathways of numerous plant developmental processes and host defense response. Up to now, most WRKY proteins have been identified in a few angiosperm species. Identification of WRKY genes in a conifer species would facilitate a comprehensive understanding of the evolutionary and function-adaptive process of this superfamily in plants. We performed PCR on genomic DNA to clone WRKY sequences from western white pine (Pinus monticola), one of the most valuable conifer species endangered by white pine blister rust (Cronartium ribicola). In total, 83 P. monticola WRKY (PmWRKY) sequences were identified using degenerate primers targeted to the WRKY domain. A phylogenetic analysis revealed that PmWRKY members fell into four major groups (1, 2a+2b, 2c, and 2d+2e) described in Arabidopsis and rice. Because of high genetic diversity of the PmWRKY family, a modified AFLP method was used to detect DNA polymorphism of this gene family. Polymorphic fragments accounted for 17%-35% of total PCR products in the AFLP profiles. Among them, one WRKY AFLP marker was linked to the major resistance gene (Cr2) against C. ribicola. The results of this study provide basic genomic information for a conifer WRKY gene family, which will pave the way for elucidating gene evolutionary mechanisms in plants and unveiling the precise roles of PmWRKY in conifer development and defense response.
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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".