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Transcriptome analysis identifies genes involved with the development of umbilical hernias in pigs.

Mayla Regina SouzaAdriana Mercia Guaratini IbelliIgor Ricardo SavoldiMauricio Egídio CantãoJane de Oliveira PeixotoMarcos Antônio Zanella MoresJader Silva LopesLuiz Lehmann CoutinhoMônica Corrêa Ledur
Published in: PloS one (2020)
Umbilical hernia (UH) is one of the most frequent defects affecting pig production, however, it also affects humans and other mammals. UH is characterized as an abnormal protrusion of the abdominal contents to the umbilical region, causing pain, discomfort and reduced performance in pigs. Some genomic regions associated to UH have already been identified, however, no study involving RNA sequencing was performed when umbilical tissue is considered. Therefore, here, we have sequenced the umbilical ring transcriptome of five normal and five UH-affected pigs to uncover genes and pathways involved with UH development. A total of 13,216 transcripts were expressed in the umbilical ring tissue. From those, 230 genes were differentially expressed (DE) between normal and UH-affected pigs (FDR <0.05), being 145 downregulated and 85 upregulated in the affected compared to the normal pigs. A total of 68 significant biological processes were identified and the most relevant were extracellular matrix, immune system, anatomical development, cell adhesion, membrane components, receptor activation, calcium binding and immune synapse. The results pointed out ACAN, MMPs, COLs, EPYC, VIT, CCBE1 and LGALS3 as strong candidates to trigger umbilical hernias in pigs since they act in the extracellular matrix remodeling and in the production, integrity and resistance of the collagen. We have generated the first transcriptome of the pig umbilical ring tissue, which allowed the identification of genes that had not yet been related to umbilical hernias in pigs. Nevertheless, further studies are needed to identify the causal mutations, SNPs and CNVs in these genes to improve our understanding of the mechanisms of gene regulation.
Keyphrases
  • extracellular matrix
  • genome wide
  • bioinformatics analysis
  • single cell
  • dna methylation
  • gene expression
  • rna seq
  • cell adhesion
  • chronic pain
  • spinal cord injury
  • spinal cord
  • genome wide analysis