Genome-Wide Identification of Long Intergenic Noncoding RNA Genes and Their Potential Association with Domestication in Pigs
Bibliographic record
Abstract
Thousands of long intergenic noncoding RNAs (lincRNAs) have been identified in the human and mouse genomes, some of which play important roles in fundamental biological processes. The pig is an important domesticated animal, however, pig lincRNAs remain poorly characterized and it is unknown if they were involved in the domestication of the pig. Here, we used available RNA-seq resources derived from 93 samples and expressed sequence tag data sets, and identified 6,621 lincRNA transcripts from 4,515 gene loci. Among the identified lincRNAs, some lincRNA genes exhibit synteny and sequence conservation, including linc-sscg2561, whose gene neighbor Dnmt3a is associated with emotional behaviors. Both linc-sscg2561 and Dnmt3a show differential expression in the frontal cortex between domesticated pigs and wild boars, suggesting a possible role in pig domestication. This study provides the first comprehensive genome-wide analysis of pig lincRNAs.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| 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".