Integrated multi-omics analysis of jejunal tissues from PDCoV-infected piglets
Background: Porcine deltacoronavirus (PDCoV) is an emerging enteric coronavirus that causes severe diarrhea and high mortality in neonatal piglets. The molecular mechanisms underlying PDCoV pathogenesis in the host intestine remain poorly understood.Objective: To characterize the host transcriptional, proteomic, and metabolomic responses to PDCoV infection in the primary target organ (jejunum) using a neonatal piglet model.Methods: Fifteen-day-old piglets were orally inoculated with PDCoV (USA/Nebraska145/2015 strain) or sterile saline (control). Jejunal tissues were collected at 3 days post-inoculation. RNA-seq was performed on three control and four infected samples to profile gene expression changes.Overall design: Total RNA was extracted from jejunum samples. Libraries were prepared using NEBNext Ultra mRNA Library Prep Kit and sequenced on Illumina platform (150 bp paired-end). Raw reads were processed using fastp, aligned to Sus scrofa reference genome (Sscrofa11.1) using HISAT2, and gene expression quantified with featureCounts. Differentially expressed genes were identified using DESeq2 (|log2FC| > 1, P < 0.05).Data contents: This dataset contains raw RNA-seq reads (fastq files) from 7 piglet jejunum samples (3 controls, 4 PDCoV-infected). Processed data including expression matrix and differential expression results are also provided.Keywords: PDCoV, coronavirus, piglet, jejunum, host response, transcriptomics, RNA-seq