Phloem flow strongly influences the systemic spread of silencing in GFP <i>Nicotiana benthamiana</i> plants
Bibliographic record
Abstract
The term 'RNA silencing' describes a process that results in the specific degradation of an RNA target. In plants, silenced tissues can initiate the spreading of the process into non-silenced regions by a mobile signal that can be transmitted over long distances. In the present work, we made use of a modified grafting approach to elucidate the driving force behind long-distance transport of the silencing signal. We made reciprocal grafts of two GFP-transgenic Nicotiana benthamiana lines, the non-silenced line 16c (sensor) and the silenced line 6.4 (inducer). We show that the direction of systemic spread of silencing from inducer to sensor can be manipulated by altering sink/source relations in the plant. Using radioactive phosphate as a phloem tracer, we demonstrated that plants that transmitted silencing from silenced scion to non-silenced rootstock had developed a persisting phloem flow from scion to rootstock. These data provide experimental proof of what has been hypothesized so far, that the silencing signal travels via phloem from source to sink. We present here evidence that the appearance of systemic silencing is not an accidental stochastic process, but can be predicted on the basis of the direction of phloem flow.
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 | 0.001 | 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 | 0.001 | 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".