Project description:The aim of this study was to investigate whether long term intake of pea fiber would improve colonic barrier, bacterial profile and alter colonic gene expression using DNA microarray. Fifty weaned pigs were randomly allocated into 2 groups receiving control and fibrous diet with inclusion of pea fiber from weaning age until d 160. The two diets had similar nutrient levels. Pigs fed pea fiber diet (PF diet) had markedly decreased overall average daily feed intake (ADFI) and Feed:Gain in growing and finishing period (P<0.05). In addition, long term intake of PF diet induced deeper crypt (+50 %, P<0.05), increased protein expression of colonic mucin and sIgA (+13～16 %, P<0.05). Resulting from the increased lactobacillus content (P<0.05), moreover, pigs fed PF diet had significantly higher concentration of colonic total short chain fatty acid (SCFA) and acetic acid. DNA microarray results indicated that feeding PF diet induced alterations in the expression of colonic cancer, immune response and lipid metabolism-related genes, as well as genes involved in signal pathway such as intestinal immune network for IgA production, PPAR signaling pathway and nutrient metabolism-related pathways. Collectively, our results suggested that long term intake of PF diet would improve colonic health via altering colonic bacteria profile, colonic barriers, immune and metabolism related protein or gene expressions. A total of 50 weaned pigs (Duroc×Landrace×Yorkshire, initial body weight: 7.2±0.5 kg) were randomly allocated to 2 groups with 5 pens each group and 5 pig each pen. Pigs were fed control (Control) and fibrous diets (10～20 % inclusion of pea fiber, PF) from weaning at 28 day to 160 day-old-age, which is subjected to phase feeding by weaning diet (weaning to d 30 post-weaning), growing diet (d 30～90 postweaning) and finishing diet (d 90～160 postweaning) according to their physiological stage. At d 160 postweaning, four pigs each group were selected to be slaughtered for collection of colonic tissues and DNA microarray was applied to the colonic tissues for analysis of gene expression.

Project description:The presence of variability in the response of pigs to Porcine Reproductive and Respiratory Syndrome virus (PRRSv) infection, and recent demonstration of significant genetic control of such responses, leads us to believe that selection towards more disease resistant pigs could be a valid strategy to reduce its economic impact on the swine industry. To find underlying molecular differences in PRRS susceptible versus more resistant pigs, 100 animals with extremely different growth rates and viremia levels after PRRSv infection were selected from a total of 600 infected pigs. A microarray experiment was conducted on whole blood RNA samples taken at 0, 4 and 7 days post infection (dpi) from these pigs. From these data, we examined associations of gene expression with weight gain and viral load phenotypes. The single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) on the porcine 60K SNP chip was shown to be associated with viral load and weight gain after PRRSv infection, and so, additionally, the effect of the WUR10000125 (WUR) genotype was examined. Limited information was obtained through linear modeling of blood gene differential expression (DE) that contrasted pigs with extreme phenotypes, for growth or viral load or between animals with different WUR genotype. However, using network-based approaches, molecular pathway differences between extreme phenotypic classes could be identified. Several gene clusters of interest were found when Weighted Gene Co-expression Network Analysis (WGCNA) was applied to 4dpi contrasted with 0dpi data. The expression pattern of one such cluster of genes correlated with weight gain and WUR genotype, contained numerous immune response genes such as cytokines, chemokines, interferon type I stimulated genes, apoptotic genes and genes regulating complement activation. In addition, Partial Correlation and Information Theory (PCIT) identified differentially hubbed (DH) genes between the phenotypically divergent groups. GO enrichment revealed that the target genes of these DH genes are enriched in adaptive immune pathways. There are molecular differences in blood RNA patterns between pigs with extreme phenotypes or with a different WUR genotype in early responses to PRRSv infection, though they can be quite subtle and more difficult to discover with conventional DE expression analyses. Co-expression analyses such as WGCNA and PCIT can be used to reveal network differences between such extreme response groups. three timepoints from 100 animals are hibridized following a blocked reference design; Blood gene expression of pigs 4 days post infection

Project description:The presence of variability in the response of pigs to Porcine Reproductive and Respiratory Syndrome virus (PRRSv) infection, and recent demonstration of significant genetic control of such responses, leads us to believe that selection towards more disease resistant pigs could be a valid strategy to reduce its economic impact on the swine industry. To find underlying molecular differences in PRRS susceptible versus more resistant pigs, 100 animals with extremely different growth rates and viremia levels after PRRSv infection were selected from a total of 600 infected pigs. A microarray experiment was conducted on whole blood RNA samples taken at 0, 4 and 7 days post infection (dpi) from these pigs. From these data, we examined associations of gene expression with weight gain and viral load phenotypes. The single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) on the porcine 60K SNP chip was shown to be associated with viral load and weight gain after PRRSv infection, and so, additionally, the effect of the WUR10000125 (WUR) genotype was examined. Limited information was obtained through linear modeling of blood gene differential expression (DE) that contrasted pigs with extreme phenotypes, for growth or viral load or between animals with different WUR genotype. However, using network-based approaches, molecular pathway differences between extreme phenotypic classes could be identified. Several gene clusters of interest were found when Weighted Gene Co-expression Network Analysis (WGCNA) was applied to 4dpi contrasted with 0dpi data. The expression pattern of one such cluster of genes correlated with weight gain and WUR genotype, contained numerous immune response genes such as cytokines, chemokines, interferon type I stimulated genes, apoptotic genes and genes regulating complement activation. In addition, Partial Correlation and Information Theory (PCIT) identified differentially hubbed (DH) genes between the phenotypically divergent groups. GO enrichment revealed that the target genes of these DH genes are enriched in adaptive immune pathways. There are molecular differences in blood RNA patterns between pigs with extreme phenotypes or with a different WUR genotype in early responses to PRRSv infection, though they can be quite subtle and more difficult to discover with conventional DE expression analyses. Co-expression analyses such as WGCNA and PCIT can be used to reveal network differences between such extreme response groups. three timepoints from 100 animals are hibridized following a blocked reference design; Blood gene expression of pigs 7 days post infection

Project description:This study used virological, histological, and global gene expression data to compare the virulence of two 2009 pH1N1 isolates from human (A/California/04/2009) and swine (A/swine/Alberta/25/2009) to that of a 1918-like classical swine influenza virus (A/swine/Iowa/1930) in a pig model of infection. The overall goal of this study was to characterize the clinical, histological, virological and global gene expression responses to three distinct influenza A isolates in an experimental pig model of influenza infection. We compared the pathogenesis of two pH1N1 viruses, one derived from a human patient (A/CA/04/09 [CA09]) and the other from swine (A/swine/Alberta/25/2009 [Alb09]), with that of the 1918-like classical swine influenza virus (A/swine/Iowa/1930 [IA30]) in the pig model. Both pH1N1 isolates induced clinical symptoms such as coughing, sneezing, decreased activity, fever, and labored breathing in challenged pigs, but IA30 virus did not cause any clinical symptoms except fever. Although both the pH1N1 viruses and the IA30 virus caused lung lesions, the pH1N1 viruses were shed from the nasal cavities of challenged pigs whereas the IA30 virus was not. Microarray was used to assess global gene expression in the lungs at 3 and 5 days post-infection. Crossbred pigs fwere obtained from a healthy herd free of SIV and porcine reproductive and respiratory syndrome virus. These studies included two experiments: the classical H1N1 SIV (IA30) study was completed at Kansas State University's biosafety level 2 (BSL-2) facility in compliance with the Institutional Animal Care and Use Committee at Kansas State University, and the pH1N1 virus study was completed at the Central States Research Center (CSRC), Inc., BSL-3 facility (Oakland, NE), in compliance with the Institutional Animal Care and Use Committee at CSRC. In each experiment, 10 pigs were inoculated with noninfectious cell culture supernatant as controls. For the classical H1N1 SIV experiment, 10 4-week-old crossbred pigs were inoculated intratracheally with 10^6 50% tissue culture infective doses (TCID50)/pig of egg-derived IA30 virus. For the pH1N1 virus experiment, 10 4-week-old crossbred pigs were inoculated intratracheally with 10^6 TCID50/pig of either egg-derived CA/09 or Alb/09 virus. Five animals per group were euthanized at 3 and 5 days postinfection (dpi), respectively.

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Transcript profiles in longissimus dorsi muscle and subcutaneous adipose tissue: A comparison of pigs with different post-weaning growth rates.

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