Abnormal Root and Nodule Vasculature in R50 (sym16), a Pea Nodulation Mutant which Accumulates Cytokinins
Bibliographic record
Abstract
BACKGROUND AND AIMS: R50 (sym16) is a pea nodulation mutant with fewer and shorter lateral roots (LR), fewer nodules and high levels of cytokinins (CK). Because a link exists between CK imbalance and abnormal vasculature, the vasculature of the primary root (PR) and LR of R50 was studied and it was compared with that of the wild-type 'Sparkle'. Also nodule vasculature was investigated to correlate R50 low nodulation phenotype with CK accumulation. METHODS: PR and first-order LR were hand-sectioned transversely in different locations and at different ages. Vascular poles were counted and root and stele diameters measured. To evaluate LR primordia number, roots were cleared. Nodules obtained from inoculated plants were either fixed and sectioned or cleared; numbers of vascular strands and of tracheary elements in the strands were counted. KEY RESULTS: 'Sparkle' PR is triarch, whereas that of R50 can be triarch, tetrarch or pentarch. Furthermore, as the R50 roots developed, supernumerary vascular strands appeared but, as they aged, the new growth of more roots displayed the triarch pattern. LR vasculature differed from that of PR: whereas 'Sparkle' LR had three or four poles, those of R50 had two or three. No differences in PR or PR stele diameters existed between the two lines. Whereas 'Sparkle' nodules had two vascular strands, most R50 nodules possessed three; however, because R50 nodules were variable in size, their vasculature was highly diverse in terms of strand length. A strong correlation was found between nodule length and number of tracheary elements in strands. CONCLUSIONS: R50 displays an additional number of vascular poles in its PR, a smaller number of vascular poles in its first-order LR and an altered vasculature in its nodules. It appears that these three characteristics are linked to the high levels of CKs that the mutant accumulates over its development.
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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) | 0.001 | 0.001 |
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".