Butyrate induces higher host transcriptional changes to inhibit porcine epidemic diarrhea virus strain CV777 infection in porcine intestine epithelial cells.

Newborn piglets' health is seriously threatened by the porcine epidemic diarrhea virus (PEDV), which also has a significant effect on the pig industry. The gut microbiota produces butyrate, an abundant metabolite that modulates intestinal function through many methods to improve immunological and intestinal barrier function. The objective of this investigation was to ascertain how elevated butyrate concentrations impacted the host transcriptional profile of PEDV CV777 strain infection. Our findings showed that higher concentrations of butyrate have a stronger inhibitory effect on PEDV CV777 strain infection. According to RNA-seq data, higher concentrations of butyrate induced more significant transcriptional changes in IPEC-J2 cells, and signaling pathways such as PI3K-AKT may play a role in the inhibition of PEDV CV777 strain by high concentrations of butyrate. Ultimately, we offer a theoretical and experimental framework for future research and development of novel approaches to harness butyrate's antiviral infection properties.

An imputation-based genome-wide association study for growth and fatness traits in Sujiang pigs.

Sujiang pigs are a synthetic breed derived from Jiangquhai, Fengjing, and Duroc pigs. In this study, we sequenced the genome of 62 pigs with a coverage depth of 10× to 20×, including 27 Sujiang and 35 founder breed pigs, and we collected 360 global pigs' genome sequence data from public databases including 39 Duroc pigs. We obtained a high-quality variant dataset of 365 Sujiang pigs by imputing the porcine 80 K single nucleotide polymorphism (SNP) Beadchip to the whole-genome scale with a total of 422 pigs as a reference panel. A dataset of 365 imputated Sujiang pigs was used to perform single-trait genome-wide association study (GWAS) and meta-analyses for growth and fatness traits. Single-trait GWAS identified 1 907, 18, and 14 SNPs surpassing the suggestively significant threshold for backfat thickness, chest circumference, and chest width, respectively. Meta-analyses identified 2 400 genome-wide significant SNPs and 520 suggestively significant SNPs for backfat thickness and chest circumference, and 719 genome-wide significant SNPs and 1 225 suggestively significant SNPs for all seven traits. According to the meta-analysis of backfat thickness and chest circumference, a remarkable region of 2.69 Mb on Sus scrofa chromosome 4 containing FAM110B, IMPAD1, LYN, MOS, PENK, PLAG1, SDR16C5 and XKR4 was identified as a candidate region. The haplotype heat map of the 2.69 Mb region verified that Sujiang pigs were derived from Duroc and Chinese indigenous pigs, especially Jiangquhai pigs. The Kruskal-Wallis test showed that haplotypes of the 2.69 Mb region significantly affected backfat thickness and chest circumference traits. We then focused on PLAG1, an important growth-related gene, and identified two synonymous SNPs with obvious differences among different breeds in the PLAG1 gene. We then performed genotyping of 365 Sujiang, 150 Duroc, 95 Jiangquhai, and 100 Fengjing pigs to confirm the above result and verified that the two variants significantly affected phenotypes of growth and fatness traits. Our findings not only provide insights into the genetic architecture of porcine growth and fatness traits but also provide potential markers for selective breeding of these traits in Sujiang pigs.

RNA-seq transcriptome profiling of porcine lung from two pig breeds in response to Mycoplasma hyopneumoniae infection.

BACKGROUND: Mycoplasma hyopneumoniae (Mhp) is the main pathogen causing respiratory disease in the swine industry. Mhp infection rates differ across pig breeds, with Chinese native pig breeds that exhibit high fecundity (e.g., Jiangquhai, Meishan, Erhualian) more sensitive than Duroc, Landrace, and other imported pig breeds. However, the genetic basis of the immune response to Mhp infection in different pig breeds is largely unknown. AIMS: The aims of this study were to determine the relative Mhp susceptibility of the Chinese native Jiangquhai breed compared to the Duroc breed, and identify molecular mechanisms of differentially expressed genes (DEGs) using an RNA-sequencing (RNA-seq) approach. METHODS: Jiangquhai and Duroc pigs were artificially infected with the same Mhp dose. The entire experiment lasted 28 days. Daily weight gain, Mhp-specific antibody levels, and lung lesion scores were measured to evaluate the Mhp infection susceptibility of different breeds. Experimental pigs were slaughtered on the 28th day. Lung tissues were collected for total RNA extraction. RNA-seq was performed to identify DEGs, which were enriched by gene ontology (GO) and the Kyoto Encyclopedia annotation of Genes and Genomes (KEGG) databases. DEGs were validated with real-time quantitative polymerase chain reaction (RT-qPCR). RESULTS: Infection with the same Mhp dose produced a more serious condition in Jiangquhai pigs than in Duroc pigs. Jiangquhai pigs showed poorer growth, higher Mhp antibody levels, and more serious lung lesions compared with Duroc pigs. RNA-seq identified 2,250 and 3,526 DEGs in lung tissue from Jiangquhai and Duroc pigs, respectively. The two breeds shared 1,669 DEGs, which were involved in immune-relevant pathways including cytokine-cytokine receptor interaction, PI3K-Akt signaling pathway, and chemokine signaling pathway. Compared to Jiangquhai pigs, more chemokines, interferon response factors, and interleukins were specifically activated in Duroc pigs; CXCL10, CCL4, IL6 and IFNG genes were significantly up-regulated, which may help Duroc pigs enhance immune response and reduce Mhp susceptibility. CONCLUSION: This study demonstrated differential immune-related DEGs in lung tissue from the two breeds, and revealed an important role of genetics in the immune response to Mhp infection. The biological functions of these important DEGs should be further confirmed and maybe applied as molecular markers that improve pig health.

Genome-wide genotyping uncovers genetic diversity, phylogeny, signatures of selection, and population structure of Chinese Jiangquhai pigs in a global perspective1.

Jiangquhai pigs are one of the 42 representative local breeds listed in the national livestock genetic resources conservation project of China. This breed is known for its prolificacy, desirable meat quality, and excellent adaptability to crude feed and local environments. In this study, we genotyped 105 Jiangquhai pigs from the state conservation farm using GeneSeek GGP Porcine 80K SNP chip, and explored the SNP data to unravel genetic diversity, evolutionary phylogeny, signatures of selection, and population structure of Jiangquhai pigs in a context of 33 global breeds. Five indices of observed heterozygosity, expected heterozygosity, effective population size, runs of homozygosity, and linkage disequilibrium extent indicate that the Jiangquhai breed are still rich in genetic diversity in comparison with other breeds also from East China despite the recent decline of its population size. Phylogenetic, principal component, TreeMix, and admixture analyses show that Jiangquhai pigs represent an authentic genetic resource and have close genetic relationships with East Chinese breeds, their geographical neighbors. A genome scan unravels a list of reproduction-related genes potentially under selection in Jiangquhai pigs. Using the neighbor-joining clustering approach, we reconstructed the family structure of the conservation population of Jiangquhai pigs. This finding allowed us to suggest a rotational mating scheme across the reconstructed families to reduce the risk of inbreeding depression in the population.

Transcriptomic analysis of different stages of pigeon ovaries by RNA-sequencing.

The pigeon ovary is an ideal model for deciphering the molecular mechanism of folliculogenesis. While most analysis has focused on the influence of hormones and factors on ovarian follicle development in this model, changes occurring in the ovarian stroma can also be extremely informative. Here, we profiled the transcriptome of pigeon ovaries at pre-ovulation, post-ovulation, and 5-6 days after ovulation using RNA-sequencing to gain insights into the molecular and cellular events mediating ovary activity. We obtained 44,784,505 clean reads that aligned with 14,088 genes. Gene expression profile analysis identified 409 differentially expressed genes between pre- and post-ovulation; 96 genes were up-regulated genes while 313 genes were down-regulated. Gene ontology analysis of the down-regulated genes revealed significant enrichment in components of the immune response, immune system, antigen processing and presentation, receptor binding, and biological adhesion. Pathway analyses of the high-expression genes of the post-ovulation ovary identified enrichment in phagosomes, lysosomes, cytokine-cytokine receptor interactions, cell adhesion molecules, and the Toll-like receptor signaling. These data together suggest that post-ovulatory follicle regression and elimination occurs through an immune response. Mol. Reprod. Dev. 83: 640-648, 2016. © 2016 Wiley Periodicals, Inc.

[Identification and genetic analysis of SNPs in duck adiponectin gene].

Single nucleotide polymorphisms (SNPs) within the duck adiponectin gene were detected by single strand conformation polymorphism (SSCP) using 5 pairs of primers to amplify an area spanning the open reading frame. Eight duck breeds, including Kunshan Sheldrake, Cherry Valley Meat duck, Gaoyou duck, Shanma duck, Jinding duck, Longbai duck, Jingjiang Sheldrake and White feather Muscovy duck, were used. Seven nucleotide variations were found, of which G430A, A457G, and T523C resulted in amino acid changes of A144T, I153V, and Y175H, respectively. The remaining 4 SNPs were C507T, T540C, C576T and C597T. Eight genotypes (AA, AB, AC, BB, BC, CC, DD, and DE) were detected in the 8 breeds. Chi(2) analysis showed that the distribution of the eight genotypes was very different among the different breeds (P < 0.01). Ex-cept for the Jingding duck, all breeds were in accordance with the Hardy-Weinberg equilibrium. Genetic analysis indicated that homozygosity was highest in the Jinding duck, lowest in the Gaoyou duck and similar in other breeds. Polymorphism information content (PIC) was low in the Jinding, high in the Gaoyou and intermediate in other breeds. These results showed that the adiponectin gene had a high level of polymorphism in different duck breeds, and could be used as a candidate gene to analyze the correlation between its polymorphism and fat traits in duck.