Chicken is considered to be an excellent model for genetic studies of phenotypic and genomic evolution, with large effective population size, specialized commercial lines, and strong human-driven selection. High-density chicken SNP chips can help to achieve a better understanding of the selection mechanisms in artificially selected populations. We performed the genome-wide tests for the selection signature in 385 White Leghorn hens and mapped positively selected regions to the genome annotations. Ten QTL related to egg production, egg quality, growth, and disease resistance traits were selected for extended haplotype homozygosity tests to give a brief overview of recent selection signatures in chicken QTL. We also reported 185 candidate genes/CDSs showing top P-values and slower decay of haplotype homozygosities. Some of these genes seemed to have significant effects on important economical traits, and most of them have not been reported in chickens. The current study provides a genome-wide map of linkage disequilibrium extents and distributions and selection footprints in the chicken genome. A panel of genes, including PRL, NCKX1, NRF1, LHX2, and SFRP1 associated with egg production, metabolism traits, and response to illumination were identified. In addition, there were more genes identified that have not yet been reported in chickens, and our results provide new clues for further study.

Interferon regulatory factor 1 (IRF1) is a member of IRF-family that was discovered to activate promoters in type I interferon (IFN) genes. It is shown to play functionally diverse role in the regulation of the immune system. In this report, the porcine IRF1 cDNA were cloned and a 7500 bp genomic DNA structure was identified. The putative IRF1 protein included 322 amino acids. Alignment and phylogenetic analysis of the predicted porcine IRF1 amino acids sequence with its homologies of other species show high identity (over 88%). Tissues expression of IRF1 mRNA was observed by RT-PCR, the results revealed IRF1 gene expressed widely in all analyzed tissues. Using the radiation hybrid panel, the porcine IRF1 gene was mapped to porcine chromosome 2 and closely linked to the locus IL4 (LOD = 7.09, 57cR). A SNP in exon2 of porcine IRF1 gene was demonstrated by sequencing and PCR-RFLP analysis. The further association analysis indicated that the SNP was significant associate with level of IFN-γ (day 20) in serum (P = 0.0001) and the ratio of IFN-γ to IL10 (day 20; day 35) in serum (P = 0.0165; P = 0.0095). The results suggested that the porcine IRF1 gene is strong candidate gene for these immune traits in pig.

Peripheral blood mononuclear cells (PBMCs) are clinically important cells. Detection of microRNAs (miRNAs) expression in PBMCs can be useful for miRNA biomarker discovery for various diseases. Quantitative real-time PCR (qRT-PCR) has become an important method used for measuring miRNAs expression. However, the reliability of qRT-PCR data critically depends on proper selection of reference genes. Here, we performed qRT-PCR to quantify the expression levels of nine miRNAs (Ssc-miR-16, Hsa-miR-25, Ssc-miR-34a, Hsa-miR-93, Bta-miR-92b, Ssc-miR-103, Ssc-miR-106a, Ssc-miR-128 and Ssc-miR-107) and one small nuclear RNA (U6) in PBMCs treated with polyinosinic-polycytidylic acid [poly (I:C)] that widely used for simulating viral infection. We used the four statistical algorithms (GeNorm 3.5, NormFinder, BestKeeper and comparative ∆ Ct method) to evaluate gene expression stability and observed that Ssc-miR-34a was the best single reference gene and the pair of Ssc-miR-107 and Ssc-miR-103 was the best combination of reference miRNAs for porcine PBMCs treated with poly (I:C). Our study shows the first evidence of careful selection of reference miRNAs in porcine PBMCs and maybe helpful for discovering miRNA biomarkers for double-stranded RNA-induced disease.