Exploring transcriptomic and genomic differences between susceptible and resistant fetal pigs to maternal PRRSV infection at late gestation
Bibliographic record
Abstract
Porcine reproductive and respiratory syndrome (PRRS) severely impacts global swine production. While studies have revealed host genetic factors and molecular mechanisms of fetal response to PRRSV infection, the relationship between fetal genotype, thymic transcription and PRRS susceptibility remains unclear. This study integrates genomic and thymic transcriptomic analyses of fetal pigs from a maternal PRRSV-2 challenge model. Fetuses were categorized by susceptibility to PRRS, following maternal inoculation at gestation day 84-86 into four groups: complete resistance (CR), partial resistance (PR), viable susceptible (VS), and meconium-stained susceptible (MS). CR and PR fetuses exhibited 0 or less than 4 viral loads in serum and thymus, respectively, despite maternal exposure, while VS and MS fetuses had high viral loads with MS showing signs of compromise. Thymic transcriptome analyses revealed a strong interferon response and downregulation of cell cycle and DNA repair pathways in VS and MS fetuses compared to CR and PR fetuses. Severe infection (MS) was further associated with downregulation of genes involved in early thymocyte development, suggesting disrupted T cell development in the thymus. Interaction expression quantitative trait loci (ieQTLs) were identified, where the association between genetic variants and expression levels of differentially expressed genes (DEGs) varied by fetal PRRS susceptibility. Notably, ieQTLs were identified for genes critical for T cell development, including TMEM98 (involved in Th1 cell differentiation) and PTCRA (expressed in early stages of thymocyte development). These findings highlight the complex interplay between fetal genotype, thymic gene expression, and PRRS susceptibility, offering potential genetic markers for breeding programs for replacement gilts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".