Involvement of miR775 in the Post-Transcriptional Regulation of Fructose-1,6-Bisphosphate Aldolase in Maize (Zea mays L.) Leaves Under Hypoxia
Bibliographic record
Abstract
Different types of microRNA participate in the post-transcriptional regulation of target genes. The content of several hypoxia-dependent miRNAs in plant cells, including miR775, increases in the conditions of oxygen deficiency. Electrophoretic studies of total RNA samples from the leaves of flooded seedlings of maize (Zea mays L.) revealed the presence of two interfering complexes with miR775 at 12 h of hypoxic incubation. A nucleotide sequence analysis of a sample containing the interfering complex of miR775 with mRNA from maize leaves showed a high degree of homology with the ICL/PEPM_KPHMT lyase family domain. It corresponded to a fragment of fructose-1,6-bisphosphate aldolase mRNA. By real-time PCR, we established the dynamics of the content of transcripts of aldolase isoenzyme genes under hypoxia in maize leaves. A decrease in the transcriptional activity of the aldolase 1 gene (Aldo1) correlated with a high content of miR775 in maize leaf cells. The fraction of extracellular vesicles sedimented at 100,000× g, was enriched with miR775. The accumulation of aldolase 2 (Aldo2) mRNA transcripts under hypoxic conditions indicates its participation in maintaining glycolysis when Aldo1 expression is inhibited. We conclude that an increase in the total content of free miR775 and its participation in the suppression of the Aldo1 gene represents an important mechanism in developing the adaptive reaction of cellular metabolism in response to hypoxia.
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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 | 0.000 |
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".