Genome-wide effects of DNA methyltransferase inhibitor on gene expression in double-stranded RNA transfected porcine PK15 cells.

Double-stranded RNA (dsRNA) is produced in host cells during viral replication. The effects of DNA demethylation on gene expression in dsRNA transfected swine cells are unclear. The study aims to profile the transcriptome changes which are induced by DNA methyltransferase inhibitor (Aza-CdR) in porcine PK15 cells transfected with viral-like dsRNA (Poly(I:C)). A total of 44, 76 and 952 differentially expressed genes (DEGs) were detected in the cells treated by Poly(I:C) plus Aza-CdR (P+A), Poly(I:C) (P) or Aza-CdR (A) alone compared to the controls (C). Immune response-related pathways are observed in the comparison of A vs. C and P vs. C, and the genes in the pathways were recovered in the comparison of (P+A) vs. C. GO analysis indicated that Aza-CdR has negative regulatory effects on viral reproduction. The results suggest that the stimulant of Poly(I:C) could be regressed by Aza-CdR. These observations provide new insights into the epigenetic regulatory effects on viral replication.

Simulation of the Internal Temperature Field and Flow Field in a Double-Layer Sintering Bed.

To meet the requirements of Angang's blast furnace smelting for sintering output, improve the double-layer sintering process, and determine the appropriate parameters for the double-layer sintering process, this article established a mathematical model and simulated the temperature field in the burden bed and the changing trends of O2 and CO2 concentrations in the sintering tail gas during the single-layer and double-layer sintering processes of the sintering machine. The simulation results show that (1) compared with the sintering time of single-layer sintering in the baseline period, the error of the single-sintering model is only about 2.5%, and the model's accuracy is high. (2) Two combustion zones of double-layer sintering increase O2 consumption, and the O2 concentration in the tail gas decreases significantly. (3) The thickness of the upper and lower feeding layers of double-layer oxygen supplement sintering is 650 + 300 mm better than that of 600 + 350 mm. (4) The optimal secondary ignition time is 15 min.

Weighted single-step GWAS and RNA sequencing reveals key candidate genes associated with physiological indicators of heat stress in Holstein cattle.

BACKGROUND: The study of molecular processes regulating heat stress response in dairy cattle is paramount for developing mitigation strategies to improve heat tolerance and animal welfare. Therefore, we aimed to identify quantitative trait loci (QTL) regions associated with three physiological indicators of heat stress response in Holstein cattle, including rectal temperature (RT), respiration rate score (RS), and drooling score (DS). We estimated genetic parameters for all three traits. Subsequently, a weighted single-step genome-wide association study (WssGWAS) was performed based on 3200 genotypes, 151,486 phenotypic records, and 38,101 animals in the pedigree file. The candidate genes located within the identified QTL regions were further investigated through RNA sequencing (RNA-seq) analyses of blood samples for four cows collected in April (non-heat stress group) and four cows collected in July (heat stress group). RESULTS: The heritability estimates for RT, RS, and DS were 0.06, 0.04, and 0.03, respectively. Fourteen, 19, and 20 genomic regions explained 2.94%, 3.74%, and 4.01% of the total additive genetic variance of RT, RS, and DS, respectively. Most of these genomic regions are located in the Bos taurus autosome (BTA) BTA3, BTA6, BTA8, BTA12, BTA14, BTA21, and BTA24. No genomic regions overlapped between the three indicators of heat stress, indicating the polygenic nature of heat tolerance and the complementary mechanisms involved in heat stress response. For the RNA-seq analyses, 2627 genes were significantly upregulated and 369 downregulated in the heat stress group in comparison to the control group. When integrating the WssGWAS, RNA-seq results, and existing literature, the key candidate genes associated with physiological indicators of heat stress in Holstein cattle are: PMAIP1, SBK1, TMEM33, GATB, CHORDC1, RTN4IP1, and BTBD7. CONCLUSIONS: Physiological indicators of heat stress are heritable and can be improved through direct selection. Fifty-three QTL regions associated with heat stress indicators confirm the polygenic nature and complex genetic determinism of heat tolerance in dairy cattle. The identified candidate genes will contribute for optimizing genomic evaluation models by assigning higher weights to genetic markers located in these regions as well as to the design of SNP panels containing polymorphisms located within these candidate genes.

Novel DNA methylation markers of PRRSV-specific antibodies and their intergenerational transmission from pregnant sows to piglets.

The main strategy for preventing porcine reproductive and respiratory syndrome (PRRS) is vaccination. However, current commercial porcine reproductive and respiratory syndrome virus (PRRSV) vaccines have limited effectiveness and may even cause infections in pigs. The identification of stable molecular markers associated with immune responses to PRRSV vaccination in pigs provides a new approach for PRRS prevention. DNA methylation, the most stable epigenetic molecular marker related to PRRSV vaccination, has not been investigated. In the current research, we used whole genome bisulfite sequencing (WGBS) to investigate DNA methylation in pregnant sows that received PRRSV vaccination and their piglets with high and low PRRSV-specific antibody levels. By performing methylation data analysis and basing on our previous transcriptomic studies, we identified several differentially methylated genes (DMGs) that are involved in the pathways of inflammatory and immune responses. Among the DMGs, ISG15, MX1, SERPINE1, GNG11 and IFIT3 were common hub genes in the two generations. MX1 and GNG11 were located in quantitative trait loci related with PRRSV antibody titer and PRRSV susceptibility, respectively. These results suggest that PRRSV vaccination in sows induces DNA methylation changes in genes and DNA methylation changes occur through intergenerational transmission. The novel DNA methylation markers and target genes observed in our study provide new insights into the molecular mechanisms of immune responses to PRRSV vaccination across two pig generations.

Novel nucleotide variants in SLA-DOB and CD4 are associated with immune traits in pregnant sows.

Reinforcing the immunity of pregnant sows can not only improve their own health condition but also increase the survival rate and healthy status of their piglets. This study aims to find single-nucleotide polymorphism (SNP) and molecular markers that are associated with the immune traits of pregnant sows. SLA-DOB and CD4 were selected as candidate genes, and blood samples were randomly collected from pregnant Landrace sows and used to detect T-lymphocyte subsets, interferon alpha, interleukin 6, Toll-like receptor 3, serum antibody immunoglobulin G, and porcine reproductive and respiratory syndrome virus-specific antibody. Then, association analyses were conducted for the polymorphic sites of candidate genes with immune traits. We found 12 mutations in the two genes and conducted an association study with eight of them. Our results indicated that among the eight mutations, SNP1, SNP2, and SNP3 of the SLA-DOB gene and Ins9, SNP10, and SNP11 in the CD4 gene are newly discovered mutations. Except for SNP1, SNP3, and SNP11, the other five SNPs are associated with at least one immune trait tested. Especially, SNP2 and Ins9 are significantly associated with at least one of the T-lymphocyte subgroups and at least one antibody. These novel mutations have potential important effects on the polymorphic loci of the above immune traits in pregnant sows. The results suggest that the SLA-DOB and CD4 genes and their genetic mutations can be considered as important candidate genes and mutations for the immunity of pregnant sows.

Transcriptome of Porcine PBMCs over Two Generations Reveals Key Genes and Pathways Associated with Variable Antibody Responses post PRRSV Vaccination.

Porcine reproductive and respiratory syndrome virus (PRRSV) is a virus susceptible to antibody dependent enhancement, causing reproductive failures in sows and preweaning mortality of piglets. Modified-live virus (MLV) vaccines are used to control PRRS in swine herds. However, immunized sows and piglets often generate variable antibody levels. This study aimed to detect significant genes and pathways involved in antibody responsiveness of pregnant sows and their offspring post-PRRSV vaccination. RNA sequencing was conducted on peripheral blood-mononuclear cells (PBMCs), which were isolated from pregnant sows and their piglets with high (HA), median (MA), and low (LA) PRRS antibody levels following vaccination. 401 differentially expressed genes (DEGs) were identified in three comparisons (HA versus MA, HA versus LA, and MA versus LA) of sow PBMCs. Two novel pathways (complement and coagulation cascade pathway; and epithelial cell signaling in H. pylori infection pathway) revealed by DEGs in HA versus LA and MA versus LA were involved in chemotactic and proinflammatory responses. TNF-α, CCL4, and NFKBIA genes displayed the same expression trends in subsequent generation post-PRRS-MLV vaccination. Findings of the study suggest that two pathways and TNF-α, CCL4, and NFKBIA could be considered as key pathways and potential candidate genes for PRRSV vaccine responsiveness, respectively.

Identification of genes for controlling swine adipose deposition by integrating transcriptome, whole-genome resequencing, and quantitative trait loci data.

Backfat thickness is strongly associated with meat quality, fattening efficiency, reproductive performance, and immunity in pigs. Fat storage and fatty acid synthesis mainly occur in adipose tissue. Therefore, we used a high-throughput massively parallel sequencing approach to identify transcriptomes in adipose tissue, and whole-genome differences from three full-sibling pairs of pigs with opposite (high and low) backfat thickness phenotypes. We obtained an average of 38.69 million reads for six samples, 78.68% of which were annotated in the reference genome. Eighty-nine overlapping differentially expressed genes were identified among the three pair comparisons. Whole-genome resequencing also detected multiple genetic variations between the pools of DNA from the two groups. Compared with the animal quantitative trait loci (QTL) database, 20 differentially expressed genes were matched to the QTLs associated with fatness in pigs. Our technique of integrating transcriptome, whole-genome resequencing, and QTL database information provided a rich source of important differentially expressed genes and variations. Associate analysis between selected SNPs and backfat thickness revealed that two SNPs and one haplotype of ME1 significantly affected fat deposition in pigs. Moreover, genetic analysis confirmed that variations in the differentially expressed genes may affect fat deposition.

Integration of transcriptome and whole genomic resequencing data to identify key genes affecting swine fat deposition.

Fat deposition is highly correlated with the growth, meat quality, reproductive performance and immunity of pigs. Fatty acid synthesis takes place mainly in the adipose tissue of pigs; therefore, in this study, a high-throughput massively parallel sequencing approach was used to generate adipose tissue transcriptomes from two groups of Songliao black pigs that had opposite backfat thickness phenotypes. The total number of paired-end reads produced for each sample was in the range of 39.29-49.36 millions. Approximately 188 genes were differentially expressed in adipose tissue and were enriched for metabolic processes, such as fatty acid biosynthesis, lipid synthesis, metabolism of fatty acids, etinol, caffeine and arachidonic acid and immunity. Additionally, many genetic variations were detected between the two groups through pooled whole-genome resequencing. Integration of transcriptome and whole-genome resequencing data revealed important genomic variations among the differentially expressed genes for fat deposition, for example, the lipogenic genes. Further studies are required to investigate the roles of candidate genes in fat deposition to improve pig breeding programs.

The liver transcriptome of two full-sibling Songliao black pigs with extreme differences in backfat thickness.

BACKGROUND: Fatness traits in animals are important for their growth, meat quality, reproductive performance, and immunity. The liver is the principal organ of the regulation of lipid metabolism, and this study used massive parallelized high-throughput sequencing technologies to determine the porcine liver tissue transcriptome architecture of two full-sibling Songliao black pigs harboring extremely different phenotypes of backfat thickness. RESULTS: The total number of reads produced for each sample was in the region of 53 million, and 8,226 novel transcripts were detected. Approximately 92 genes were differentially regulated in the liver tissue, while 31 spliced transcripts and 33 primary transcripts showed significantly differential expression between pigs with higher and lower backfat thickness. Genes that were differentially expressed were involved in the metabolism of various substances, small molecule biochemistry, and molecular transport. CONCLUSIONS: Genes involved in the regulation of lipids could play an important role in lipid and fatty acid metabolism in the liver. These results could help us understand how liver metabolism affects the backfat thickness of pigs.

Regulation of actin dynamics by tyrosine phosphorylation: identification of tyrosine phosphorylation sites within the actin-severing domain of villin.

We have previously shown that villin, an epithelial cell actin-binding protein, is tyrosine phosphorylated both in vitro and in vivo and that villin's actin-modifying functions are regulated by phosphorylation. Here as a first step toward understanding the role of villin tyrosine phosphorylation, we sought to identify the major phosphorylation site(s) in human villin and study its role in actin filament assembly. We generated a series of carboxyl-terminal truncation mutants of villin and cloned them in the prokaryotic expression vector pGEX-2T. Full-length villin and the truncation mutants were expressed in TKX1 cells, which carry an inducible tyrosine kinase gene. Using this approach, we identified a region in the amino-terminal actin-severing domain of villin as the site of phosphorylation (amino acids 1-261). Five phosphorylation sites were identified by direct mutation of candidate tyrosines (Y) to phenylalanine (F), namely, Y46, -60, -64, -81, and -256. Changing all of these sites to phenylalanine resulted in a villin mutant that neither was phosphorylated in TKX1 cells nor was a substrate for c-src kinase in an in vitro kinase assay. Using a pyrene actin-based fluorescence assay, we mapped the various phosphorylated tyrosine residues with the actin-nucleating and -depolymerizing functions of villin. Phosphorylation of any one of the identified sites inhibited the actin-nucleating function of villin, whereas phosphorylation at Y46 and/or Y60 increased the actin-severing activity of villin. Since there is significant homology between the amino-terminal end of villin and other actin-severing proteins, the results provide a structural basis for the actin-severing mechanism and help understand the relationship of phosphorylation with this function.