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Identification of Potential miRNA-mRNA Regulatory Network Associated with Pig Growth Performance in the Pituitaries of Bama Minipigs and Landrace Pigs.

Yingying JiaoLinlin HaoPeijun XiaYunyun ChengJie SongXi ChenZhaoguo WangZe MaShuo ZhengTing ChenYing ZhangHao Yu
Published in: Animals : an open access journal from MDPI (2022)
Pig growth performance is one of the criteria for judging pork production and is influenced by genotype and external environmental factors such as feeding conditions. The growth performance of miniature pigs, such as Bama minipigs, differs considerably from that of the larger body size pigs, such as Landrace pigs, and can be regarded as good models in pig growth studies. In this research, we identified differentially expressed genes in the pituitary gland of Bama minipigs and Landrace pigs. Through the pathway enrichment analysis, we screened the growth-related pathways and the genes enriched in the pathways and established the protein-protein interaction network. The RNAHybrid algorithm was used to predict the interaction between differentially expressed microRNAs and differentially expressed mRNAs. Four regulatory pathways (Y-82- ULK1/CDKN1A , miR-4334-5p- STAT3/PIK3R1/RPS6KA3/CAB39L , miR-4331- SCR/BCL2L1 , and miR-133a-3p- BCL2L1 ) were identified via quantitative real-time PCR to detect the expression and correlation of candidate miRNAs and mRNAs. In conclusion, we revealed potential miRNA-mRNA regulatory networks associated with pig growth performance in the pituitary glands of Bama minipigs and Landrace pigs, which may help to elucidate the underlying molecular mechanisms of growth differences in pigs of different body sizes.
Keyphrases
  • protein protein
  • cell proliferation
  • transcription factor
  • small molecule
  • genome wide
  • machine learning
  • binding protein
  • long non coding rna
  • long noncoding rna
  • mass spectrometry
  • climate change
  • human health