A single nucleotide substitution at the 3′-end of SBPase gene involved in Calvin cycle severely affects plant growth and grain yield in rice
Bibliographic record
Abstract
BACKGROUND: Calvin cycle plays a crucial role in carbon fixation which provides the precursors of organic macromolecules for plant growth and development. Currently, no gene involved in Calvin cycle has been identified in monocotyledonous plants through mutant or/and map-based cloning approach. RESULTS: Here, we isolated a low-tillering mutant, c6635, in rice (Oryza sativa). The mutant displayed light green leaves and intensely declined pigment contents and photosynthetic capacity at early growth stage. Moreover, its individual plant showed a much smaller size, and most individuals produced only two tillers. At mature stage, its productive panicles, grain number and seed setting rate were significantly decreased, which lead to a sharp reduction of the grain yield. We confirmed that a single nucleotide mutation in LOC_Os04g16680 gene encoding sedoheptulose 1,7-bisphosphatase (SBPase) involved in Calvin cycle was responsible for the mutant phenotype of c6635 through map-based cloning, MutMap analysis and complementation experiments. Sequence analysis suggested that the point mutation caused an amino acid change from Gly-364 to Asp at the C-terminal of SBPase. In addition, OsSBPase gene was mainly expressed in leaf, and the encoded protein was located in chloroplast. The mutation of OsSBPase could significantly affect expression levels of some key genes involved in Calvin cycle. CONCLUSIONS: We successfully identified a SBPase gene in monocotyledonous plants. Meanwhile, we demonstrated that a single nucleotide substitution at the 3'-end of this gene severely affects plant growth and grain yield, implying that the Gly-364 at the C-terminal of SBPase could play an important role in SBPase function in rice.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".