Proteomic and Metabolomic Profiling Elucidate the Impact of PEDV on Yorkshire Piglets and Reveal the Underlying Molecular Mechanism of PEDV Response

Lijun Shi, Huihui Li, Chunxiang Zhou and Lixian Wang ()
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Lijun Shi: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Huihui Li: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China
Chunxiang Zhou: Medical College, Huanghe Science and Technology University, Zhengzhou 450061, China
Lixian Wang: Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, China

Agriculture, 2023, vol. 14, issue 1, 1-19

Abstract: Porcine epidemic diarrhea virus (PEDV) is an RNA virus causing acute diarrhea, vomiting, dehydration and high mortality in piglets, and poses significant challenges for the global pig industry. However, the molecular mechanism underlying PEDV in piglets has not been well comprehended. In this study, we constructed the Yorkshire piglet model (control, resistance, and susceptible groups) to perform the proteomics of jejunum and metabolomics of serum. In total, 734 differentially expressed proteins (DEPs) and 208 significant differentially accumulated metabolites (DAMs) were identified, and the functional annotation showed that they were mainly involved in metabolic and signal transduction pathways. Further, we used weighted gene co-expression network analysis (WGCNA), short timeseries expression miner (STEM) and random forest analyses to detect key promising biomarkers for each corresponding group. By constructing the relationships between proteins and metabolites, we excavated the biomarkers and explained their molecular mechanism of the PEDV response. These data and results might be good resources for the PEDV infection and offer valuable insights into the molecular PEDV response mechanisms.

Keywords: PEDV; jejunum; Yorkshire piglets; proteomic; metabolomic (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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