Investigating a role for <i>PUB17</i> and <i>PUB16</i> in the self-incompatibility pathway in transgenic <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Abstract In Brassicaceae self-incompatibility (SI), self-pollen rejection is initiated by the S- haplotype specific interactions between the pollen SCR/SP11 ligand and the stigma S Receptor kinase (SRK). In Brassica SI, a member of the Plant U-Box (PUB) E3 ubiquitin ligases, ARC1, is then activated by SRK in this stigma and cellular events downstream of this cause SI pollen rejection by inhibiting pollen hydration and pollen tube growth. During the transition to selfing, Arabidopsis thaliana lost the SI components, SCR, SRK , and ARC1 . However, this trait can be reintroduced into A. thaliana by adding back functional copies of these genes from closely related SI species. Both SCR and SRK are required for this, though the degree of SI pollen rejection varies between accessions, and ARC1 is not always needed to produce a strong SI response. For A. thaliana C24, only transforming with A. lyrata SCR and SRK confers a strong SI trait, and so here we investigated if ARC1-related PUBs were involved in the SI pathway. Two close ARC1 paralogs, PUB17 and PUB16 , were selected, and CRISPR/Cas9 technology was used to generate pub17 and pub16 mutations in the C24 accession. These mutants were then crossed into a transgenic A. thaliana SI-C24 line and their potential impact on SI pollen rejection was investigated. Overall, we did not observe any significant differences to implicate PUB17 and PUB16 functioning in the transgenic A. thaliana SI-C24 stigma to reject SI pollen.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".