The transcription factor LpWRKY65 enhances embryogenic capacity through reactive oxygen species scavenging during somatic embryogenesis of larch
Bibliographic record
Abstract
Somatic embryogenesis is a powerful system for studying embryo development and scaling up the production of elite genetic material. Somatic embryogenesis has been well established in Larix principis-rupprechtii, a Chinese larch species dominant in the world's largest man-made forest. However, genotype-dependent embryogenic variations hinder large-scale forestry, and the molecular mechanisms remain unclear. Here, we constructed stage-specific developmental transcriptomes of the somatic embryogenesis process using 2 lines with contrasting embryogenic capacities. Clustering and coexpression analyses identified LpWRKY65 as a central hub gene highly expressed in early somatic embryogenesis stages and with significantly higher expression in the high-embryogenic-capacity cell line (HEL) compared to the low-embryogenic-capacity cell line (LEL). Overexpressing LpWRKY65 significantly increased somatic embryo yield and quality. DNA affinity purification sequencing (DAP-seq) and RNA-seq were combined to identify a set of target genes downstream of and responsive to LpWRKY65, particularly including genes involved in reactive oxygen species (ROS) scavenging. We identified LpHmgB10 as a critical downstream regulator of LpWRKY65. LpWRKY65 directly binds to the W-box in the promoter of LpHmgB10, markedly enhancing its transcriptional activity. ROS profiling further demonstrated that overexpression of LpWRKY65 or LpHmgB10 enhances ROS scavenging and promotes a stable redox environment, which is crucial for improving embryogenic capacity. These findings suggest that LpWRKY65 regulates the cellular redox environment to promote embryogenic differentiation and somatic embryo development, advancing somatic embryogenesis research in conifers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".