Differential photosynthetic compensatory mechanisms exist in the <i>immutans</i> mutant of <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Variegation in the immutans ( im ) mutant of Arabidopsis is induced by a nuclear recessive gene. The white leaf sectors of im contain abnormal plastids lacking pigments and organized lamellae, whereas the green leaf sectors possess normal‐appearing chloroplasts. IMMUTANS codes for a thylakoid membrane terminal oxidase that functions as a safety valve to dissipate excess energy. Previous studies have shown that the green sectors of im , regardless of illumination conditions, have anatomical adaptations that are reminiscent of acclimation to high‐light stress. It has been suggested that these adaptations provide a means of enhancing photosynthesis to feed the white sectors and maximize plant growth. We have utilized Chl fluorescence imaging to better understand these compensatory mechanisms using, as our experimental material, im leaves with predominantly green ( img ) or predominantly white ( imw ) tissues. The samples were examined under conditions of normal growth or high‐light stress (photoinhibition). Steady‐state fluorescence quenching revealed that the green sectors of the imw leaves had lower levels of 1 − q p than the img leaves, and that this was accompanied by increased electron transport rates. In response to short‐term high‐light exposure, the green sectors of the imw leaves displayed enhanced non‐photochemical quenching (NPQ), which correlated with increased xanthophyll pool sizes and increased amounts of several different Lhcb polypeptides and the PsbS protein. In summary, our data show that, compared with primarily green leaves ( img ), the green sectors of predominantly white leaves ( imw ) have elevated rates of electron transport and an enhanced NPQ capacity. We conclude that, in the absence of IM, green sectors develop morphological and biochemical adaptations that allow them to maximize photosynthesis to feed the white sectors, and to protect against photodamage.
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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 | 0.000 | 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 | 0.001 | 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".