Structural, evolutionary and functional analysis of the<scp>NAC</scp>domain protein family in<i>Eucalyptus</i>
Bibliographic record
Abstract
NAC domain transcription factors regulate many developmental processes and stress responses in plants and vary widely in number and family structure. We analysed the characteristics and evolution of the NAC gene family of Eucalyptus grandis, a fast-growing forest tree in the rosid order Myrtales. NAC domain genes identified in the E. grandis genome were subjected to amino acid sequence, phylogenetic and motif analyses. Transcript abundance in developing tissues and abiotic stress conditions in E. grandis and E. globulus was quantified using RNA-seq and reverse transcription quantitative PCR (RT-qPCR). One hundred and eighty-nine E. grandis NAC (EgrNAC) proteins, arranged into 22 subfamilies, are extensively duplicated in subfamilies associated with stress response. Most EgrNAC genes form tandem duplicate arrays that frequently carry signatures of purifying selection. Sixteen amino acid motifs were identified in EgrNAC proteins, eight of which are enriched in, or unique to, Eucalyptus. New candidates for the regulation of normal and tension wood development and cold responses were identified. This first description of a Myrtales NAC domain family reveals an unique history of tandem duplication in stress-related subfamilies that has likely contributed to the adaptation of eucalypts to the challenging Australian environment. Several new candidates for the regulation of stress, wood formation and tree-specific development are reported.
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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".