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Allele-Specific Expression of CD4 T Cells in Response to Marek's Disease Virus Infection

Overview
Journal Genes (Basel)
Publisher MDPI
Date 2019 Sep 20
PMID 31533276
Citations 3
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Abstract

Marek's disease (MD) is a T cell lymphoma disease induced by Marek's disease virus (MDV), a highly oncogenic α herpesvirus primarily affecting chickens. MD is a chronic infectious disease that threatens the poultry industry. However, the mechanisms of genetic resistance for MD are complex and not completely understood. In this study, to identify high-confidence candidate genes of MD genetic resistance, high throughput sequencing (RNA-seq) was used to obtain transcriptomic data of CD4 T cells isolated from MDV-infected and non-infected groups of two reciprocal crosses of individuals mating by two highly inbred chicken lines (6 MD-resistant and 7 MD-susceptible). After RNA-seq analysis with two biological replicates in each group, we identified 61 and 123 single nucleotide polymorphisms (SNPs) (false discovery rate (FDR) < 0.05) annotated in 39 and 132 genes in intercrosses 6 × 7 and 7 × 6, respectively, which exhibited allele-specific expression (ASE) in response to MDV infection. Similarly, we identified 62 and 79 SNPs annotated in 66 and 96 genes in infected and non-infected groups, respectively. We identified 534 and 1543 differentially expressed genes (DEGs) (FDR < 0.05) related to MDV infection in intercrosses 6 × 7 and 7 × 6, respectively. We also identified 328 and 20 DEGs in infected and non-infected groups, respectively. The qRT-PCR using seven DEGs further verified our results of RNA-seq analysis. The qRT-PCR of 11 important ASE genes was performed for gene functional validation in CD4 T cells and tumors. Combining the analyses, six genes (, , , , , and ), especially , were highlighted as the candidate genes with the potential to be involved in MDV infection. Gene-set enrichment analysis revealed that many ASE genes are linked to T cell activation, T cell receptor (TCR), B cell receptor (BCR), ERK/MAPK, and PI3K/AKT-mTOR signaling pathways, which play potentially important roles in MDV infection. Our approach underlines the importance of comprehensive functional studies for gaining valuable biological insight into the genetic factors behind MD and other complex traits, and our findings provide additional insights into the mechanisms of MD and disease resistance breeding in poultry.

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References
1.
Calnek B, Schat K, Ross L, Shek W, Chen C . Further characterization of Marek's disease virus-infected lymphocytes. I. In vivo infection. Int J Cancer. 1984; 33(3):389-98. DOI: 10.1002/ijc.2910330318. View

2.
Subramaniam S, Johnston J, Preeyanon L, Brown C, Kung H, Cheng H . Integrated analyses of genome-wide DNA occupancy and expression profiling identify key genes and pathways involved in cellular transformation by a Marek's disease virus oncoprotein, Meq. J Virol. 2013; 87(16):9016-29. PMC: 3754031. DOI: 10.1128/JVI.01163-13. View

3.
Huang D, Sherman B, Lempicki R . Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009; 4(1):44-57. DOI: 10.1038/nprot.2008.211. View

4.
Shek W, Calnek B, Schat K, Chen C . Characterization of Marek's disease virus-infected lymphocytes: discrimination between cytolytically and latently infected cells. J Natl Cancer Inst. 1983; 70(3):485-91. View

5.
Craig R . MCL1 provides a window on the role of the BCL2 family in cell proliferation, differentiation and tumorigenesis. Leukemia. 2002; 16(4):444-54. DOI: 10.1038/sj.leu.2402416. View