Identification and Analysis of <I>PGM</i> and <I>SUS</i> Gene Families in Leymus Chinensis Seed Transcriptome
Bibliographic record
Abstract
Leymus chinensis ( Leymus chinensis (Trin.) Tzvel.) is a good perennial forage with good palatability, high yield and high feeding value. In addition, because of its strong resistance, Leymus chinensis can improve the disadvantaged environment such as poor land, and it is an important species to protect grassland ecology in China. Therefore, in order to promote the germination of leymus chinensis seeds and explore the mechanism of Germination, this study used sterile water treatment of leymus chinensis seeds as control, exogenous GA3 as treatment conditions. Based on the analysis of pre-transcriptome data, it was determined that PGM and SUS genes in sucrose and starch metabolic pathways play a significant role in seed Germination. Members identification, conserved domains, and evolutionary trees were analyzed for both gene families using the bioinformatics method. The expression pattern of PGM and SUS genes were analyzed with FPKM value. The results showed that 7 members were selected from each of the the PGM and SUS families based on the data of Leymus Chinensis seeds transcriptome. The molecular weight of PGM genes ranged from 15 471.3 to 67 912.9 Da, and the isoelectric point value ranged from 4.45 to 6.31, showing weak acidity. PGM family in Leymus Chinensis seeds are hydrophilic stable proteins. The molecular weight of SUS genes ranged from 30 421.5 to 110 262.9 Da. The isoelectric point of SUS genes were neutral except LcSUS1,5 and 7 , while the other four genes were weak acidic. LcSUS4 , 6 were stable hydrophilic proteins, the rest were unstable hydrophilic proteins. The PGM and SUS gene families in Leymus chinensis seeds play an enzyme role in promoting sucrose and starch synthesis in sucrose and starch metabolism pathways. The expression pattern analysis of Leymus chinensis seeds showed that the genes of PGM and SUS gene families in GA3-treated Leymus chinensis seeds promoted the germination of Leymus chinensis seeds by regulating the sucrose and starch pathways with different expression levels.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".