Integrated time-serial transcriptome networks reveal common innate and tissue-specific adaptive immune responses to PRRSV infection

Byeonghwi Lim, Sangwook Kim, Kyu Sang Lim, Chang Gi Jeong, Seung Chai Kim, Sang Myeong Lee, Choi Kyu Park, Marinus F.W. te Pas, Haesu Gho, Tae Hun Kim, Kyung Tai Lee, Won Il Kim, Jun Mo Kim*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) infection is the most important viral disease causing severe economic losses in the swine industry. However, mechanisms underlying gene expression control in immunity-responsible tissues at different time points during PRRSV infection are poorly understood. We constructed an integrated gene co-expression network and identified tissue- and time-dependent biological mechanisms of PRRSV infection through bioinformatics analysis using three tissues (lungs, bronchial lymph nodes [BLNs], and tonsils) via RNA-Seq. Three groups with specific expression patterns (i.e., the 3-dpi, lung, and BLN groups) were discovered. The 3 dpi-specific group showed antiviral and innate-immune signalling similar to the case for influenza A infection. Moreover, we observed adaptive immune responses in the lung-specific group based on various cytokines, while the BLN-specific group showed down-regulated AMPK signalling related to viral replication. Our study may provide comprehensive insights into PRRSV infection, as well as useful information for vaccine development.

Original languageEnglish
Article number128
JournalVeterinary Research
Volume51
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • adaptive immunity
  • gene co-expression network
  • innate immunity
  • integrated transcriptomes
  • porcine reproductive and respiratory syndrome virus

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