Project description:Porcine deltacoronavirus (PDCoV) is a newly emerging and special delta coronavirus, which infect mammals such as pigs, cattle and humans, as well as chickens and birds. Exploring RNA structures in the viral genome benefits the understanding of the role of RNA in the lifecycle of viruses. In this study, vRIC-seq is employed to analyze the RNA-RNA interaction in the whole genome structure of PDCoV in virions. About 12.87 and 13.52 million paired reads are obtained in two biological replicates, respectively, with 17.9% and 14.8% of them are identified as valid chimeric reads. These are employed to predict the RNA secondary structure, which is compact and highly structured. A twisted-cyclized conformation is observed in the RNA-RNA interaction map of PDCoV for the first time. 77 multi-way junctions are evenly distributed in the PDCoV genome. Our work provides fundamental structural insights that are essential for understanding the genomic structure and function, genetic evolution, and packaging characteristics of PDCoV.
Project description:Porcine 60K BeadChip genotyping arrays (Illumina) are increasingly being applied in pig genomics to validate SNPs identified by re-sequencing or assembly-versus-assembly method. Here we report that more than 98% SNPs identified from the porcine 60K BeadChip genotyping array (Illumina) were consistent with the SNPs identified from the assembly-based method. This result demonstrates that whole-genome de novo assembly is a reliable approach to deriving accurate maps of SNPs.
Project description:Porcine deltacoronavirus (PDCoV) is an emerging pathogen of swine belonging to family Coronaviridae, genus Deltacoronavirus. PDCoV predominantly infects the porcine intestinal epithelial cells (IPECs) causing severe diarrhea and/or vomiting, dehydration, and death in piglets. However, there are no researches for clarifying the changes of proteins expression levels in the IPECs infected with PDCoV. To better understand the host response to PDCoV infection, in this study, an isobaric tags for relative and absolute quantification (iTRAQ) labeling combined with liquid chromatography-tandem mass spectrometry (LC-MS)-based quantitative proteomic analysis of PDCoV-infected IPEC-J2 cells were performed to investigate the differentially expressed cellular proteins in the PDCoV-infected IPEC-J2 cells. As a result, a total of 5,502 host proteins were quantified at 24 hours post-infection (hpi) in mock and infected cells, among which 78 cellular proteins were differentially expressed with 23 up-regulated proteins and 55 down-regulated proteins. Bioinformatics analysis demonstrated that most of these regulated proteins participated in immune system process and structural molecule activity. Further, expression levels of two representative proteins, ANAPC7 and IFIT1, were confirmed by relative real-time RT-PCR and western blot analysis. The data presented here will provide an overview of host cell response to PDCoV, which could benefit the development of potential antiviral research.
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency.
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in farm animals, including pig. This Nimblegen experiment reports a genome-wide high resolution map of copy number variation in the porcine genome. After remapping the initial CNV sequences to the latest genome assembly (Sus scrofa v.9), 84 CNV regions (CNVRs) were identified among the genomes of 21 related porcine samples from Duroc breed. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the pig genome with approximately 2.1 million probes, at a 502 bp average probe spacing (Sus scrofa pre assembly version 6). These CNVRs covered 2 Mb of the genome, and ranged in size from 4 to 352 kb (median size of 12 kb). Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of porcine variation, health and productive efficiency. 21 samples were analyzed in a dye swap loop design. In order to cover the latest, at the time of the experiment, porcine genome assembly (Sus scrofa v.6) with high density, custom Nimblegen HD2 CGH arrays were planned to cover all the chromosomes available with 2.1M probes, which yielded 502 bp of average probe spacing.