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Transcription Landscape of the Early Developmental Biology in Pigs.

Susana A TeixeiraDaniele Botelho Diniz MarquesThaís C CostaHaniel Cedraz de OliveiraKarine A CostaEula R CarraraWalmir da SilvaJosé D GuimarãesMariana Machado NevesAdriana Mercia Guaratini IbelliMaurício E CantãoMônica Corrêa LedurJane O PeixotoSimone Eliza Facioni Guimarães
Published in: Animals : an open access journal from MDPI (2021)
Since pre- and postnatal development are programmed during early prenatal life, studies addressing the complete transcriptional landscape during organogenesis are needed. Therefore, we aimed to disentangle differentially expressed (DE) genes between fetuses (at 35 days old) and embryos (at 25 days old) through RNA-sequencing analysis using the pig as model. In total, 1705 genes were DE, including the top DE IBSP, COL6A6, HBE1, HBZ, HBB, and NEUROD6 genes, which are associated with developmental transition from embryos to fetuses, such as ossification, skeletal muscle development, extracellular matrix organization, cardiovascular system, erythrocyte differentiation, and neuronal system. In pathway analysis, embryonic development highlighted those mainly related to morphogenic signaling and cell interactions, which are crucial for transcriptional control during the establishment of the main organs in early prenatal development, while pathways related to myogenesis, neuronal development, and cardiac and striated muscle contraction were enriched for fetal development, according to the greater complexity of organs and body structures at this developmental stage. Our findings provide an exploratory and informative transcriptional landscape of pig organogenesis, which might contribute to further studies addressing specific developmental events in pigs and in other mammals.
Keyphrases
  • skeletal muscle
  • single cell
  • extracellular matrix
  • transcription factor
  • gene expression
  • pregnant women
  • stem cells
  • preterm infants
  • heat shock
  • oxidative stress
  • bone marrow
  • brain injury
  • genome wide identification