PSMB6 subunit belongs to the 20S proteasomal subunit family, which plays an importance role in the antigen presentation by MHC class I molecular. The full-length genomic DNA sequence was obtained by PCR and the full-length CDS of porcine PSMB6 was isolated by the reverse transcriptase-polymerase chain reaction (RT-PCR). The deduced protein of 239 amino acids showed 86% identity to the corresponding human sequence. RT-PCR revealed that porcine PSMB6 gene was expressed in seven tissues studied (heart, liver, spleen, lung, kidney, skeletal muscle and fat) and SYBR Green real-time RT-PCR analysis showed PSMB6 gene was expressed highest in spleen. A single nucleotide substitution resulting in the amino acid change (19Pro-19His) was detected within exon 1 and other two single nucleotide polymorphisms were detected in intron 1. The Genetic variations were identified in eight pig breeds showed diverse results. Furthermore, we found that the single nucleotide polymorphisms (SNP, G/T300) was significantly associated with delayed type hypersensitivity (DTH, P < 0.05), immunoglobin G (IgG1, P < 0.05), white blood cell count (WBC, P < 0.05). Using the pig/rodent somatic cell hybrid panel (SCHP), we mapped the porcine PSMB6 gene to SSC12, in agreement with comparative mapping data.
The interaction of the genes involved in intestinal development is the molecular basis of the regulatory mechanisms of intestinal development. The objective of this study was to identify the significant pathways and key genes that regulate intestinal development in Landrace piglets, and elucidate their rules of operation. The differential expression of genes related to intestinal development during suckling time was investigated using a porcine genome array. Time sequence profiles were analyzed for the differentially expressed genes to obtain significant expression profiles. Subsequently, the most significant profiles were assayed using Gene Ontology categories, pathway analysis, network analysis, and analysis of gene co-expression to unveil the main biological processes, the significant pathways, and the effective genes, respectively. In addition, quantitative real-time PCR was carried out to verify the reliability of the results of the analysis of the array. The results showed that more than 8000 differential expression transcripts were identified using microarray technology. Among the 30 significant obtained model profiles, profiles 66 and 13 were the most significant. Analysis of profiles 66 and 13 indicated that they were mainly involved in immunity, metabolism, and cell division or proliferation. Among the most effective genes in these two profiles, CN161469, which is similar to methylcrotonoyl-Coenzyme A carboxylase 2 (beta), and U89949.1, which encodes a folate binding protein, had a crucial influence on the co-expression network.
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