Identification of differentially expressed genes in sexed pig embryos during post-hatching development in primiparous sows exposed to differing intermittent suckling and breeding strategies
Bibliographic record
Abstract
The aim of commercial pig breeding programs is to maximize the number of pigs produced per sow per year. Given that sows exhibit an estrus during lactation is a potential means of increasing productivity of a pig breeding herd without reducing in lactation length, conventionally, weaning of piglets at a relatively young age is often related to post-weaning piglet performance which compromises piglet welfare. Therefore, intermittent suckling (IS) is a management technique in which lactating sows are separated from their piglets for a fixed period of the days and allowing sows to continue nursing piglets while exhibiting estrus and being breed during lactation, thereby promoting both piglet well-being and sow reproductive performance [1]. For this study, primiparous sows (PP) were exposed to 28 day (D28) lactation with intermittent suckling (IS) during the final week prior to weaning. The sows detected to be in estrus during lactation were either bred at this first estrus (FE) during lactation (IS21FE), or were "skipped" and bred at their second estrus which occurred after final weaning at D28 (IS21SE). Despite the benefits of IS, the effects of the maternal physiology related to breeding during lactation on embryonic transcriptome are largely unknown. Recent advances in the ability to assess embryonic gene expression in both sexes have made these analyses possible. Here, we describe the experimental procedures of two color microarray analyses and annotation of differentially expressed (DE) genes in detail corresponding to data deposited at NCBI in the Gene Expression Omnibus under accession number GSE53576 and GSE73020 for day 9 embryos (D9E) and day 30 embryos (D30E) respectively. Although only a few DE genes were discovered between IS21FE and IS21SE in both sexes from D9E or D30E, the raw data are still valuable for future use to understand the gene expression profiling from two different developmental stages.
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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".