Cloning and sequencing of <i>GH</i>, <i>H-FABP</i> and <i>HSP72</i> genes in yak
Bibliographic record
Abstract
The growth hormone (GH) gene, the heart fatty acid binding protein (H-FABP) gene and the heat shock protein 72 (HSP72) gene of the yak (Bos grunniens) were cloned and sequenced. The sequences were compared with those of other animals, and phylogenetic trees were constructed by the NJ (neighborhood joining) method. Results showed that the yak GH gene was composed of five exons (13, 161, 117, 162 and 198 bp) and four introns (248, 225, 229 and 275 bp). The cDNA of GH was a 654 bp nucleotide encoding a putative protein of 217 amino acid (AA) residuals, with a signal peptide of 26 AAs and the mature peptide of 191 AAs. The H-FABP gene was composed of four exons (73, 173, 102 and 54 bp) and three introns (3460, 1892 and 1495 bp). The cDNA was 402 bp encoding a putative protein of 133 AAs. The yak HSP72 gene was an intron-free 1926bp nucleotide, encoding a protein of 641 AAs. The data suggest that the three genes from the yak were highly conserved with other species at the nucleic acid level. The results of the phylogenetic trees reflect the molecular evolution relationship among these species, consistent with the zoological classification. The genetic distance calculated by the nucleotide sequence of the GH gene’s coding region indicated that genetic distances among yak, cattle, gayal and zebu were relatively small, but genetic distances between these four species and buffalo were relatively large. Therefore, it was more reasonable to consider yak, cattle, gayal and zebu as independent species of the genus Bos, while buffalo belongs to another category (Bubalus). Key words: Yak, GH gene, H-FABP gene, HSP72 gene, phylogenetic evolution
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".