PstI repeat: a family of short interspersed nucleotide element (SINE)-like sequences in the genomes of cattle, goat, and buffalo
Bibliographic record
Abstract
The PstI family of elements are short, highly repetitive DNA sequences interspersed throughout the genome of the Bovidae. We have cloned and sequenced some members of the PstI family from cattle, goat, and buffalo. These elements are approximately 500 bp, have a copy number of 2 x 10(5) - 4 x 10(5), and comprise about 4% of the haploid genome. Studies of nucleotide sequence homology indicate that the buffalo and goat PstI repeats (type II) are similar types of short interspersed nucleotide element (SINE) sequences, but the cattle PstI repeat (type I) is considerably more divergent. Additionally, the goat PstI sequence showed significant sequence homology with bovine serine tRNA, and is therefore likely derived from serine tRNA. Interestingly, Southern hybridization suggests that both types of SINEs (I and II) are present in all the species of Bovidae. Dendrogram analysis indicates that cattle PstI SINE is similar to bovine Alu-like SINEs. Goat and buffalo SINEs formed a separate cluster, suggesting that these two types of SINEs evolved separately in the genome of the Bovidae.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
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".