Characterization of the western white pine TIR-NBS-LRR (<i>PmTNL2</i>) gene by transcript profiling and promoter analysis
Bibliographic record
Abstract
Proteins with nucleotide-binding site (NBS) and leucine-rich repeats (LRRs) have been reported to play important roles in plant disease resistance, growth, and development. However, no comprehensive analysis of this protein family has been performed in conifers. Here we report that the Pinus monticola PmTNL2 gene is a member of the NBS-LRR superfamily. Quantitative reverse transcription-PCR (qRT-PCR) analysis revealed that the PmTNL2 transcript was expressed in a tissue-specific pattern with extensive regulation by various environmental stimuli in western white pine seedlings, suggesting its wide involvement in stress defense and diverse developmental processes. In silico analysis of the PmTNL2 promoter region revealed multiple cis-regulatory elements characterized with potential functions for development-, light-, and stress-regulated transcript expression. Expression patterns were largely confirmed by PmTNL2 promoter-directed reporter gene expression using stable transgenic Arabidopsis plants. Notably, the PmTNL2 promoter activity was highly expressed in shoot apical and floral meristems and was induced strongly with vascular specificity by pathogen infection. Our data has provided a fundamental insight into both expression regulation and putative functions of the PmTNL2 gene in the context of plant growth and development, as well as in responses to environmental stressors. Promoter application as a potential tool for tree improvement was further discussed.
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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 | 0.000 | 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) | 0.000 | 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".