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RNAseq expression analysis of resistant and susceptible mice after influenza A virus infection identifies novel genes associated with virus replication and important for host resistance to infection.

Authors :
Wilk E
Pandey AK
Leist SR
Hatesuer B
Preusse M
Pommerenke C
Wang J
Schughart K
Source :
BMC genomics [BMC Genomics] 2015 Sep 02; Vol. 16, pp. 655. Date of Electronic Publication: 2015 Sep 02.
Publication Year :
2015

Abstract

Background: The host response to influenza A infections is strongly influenced by host genetic factors. Animal models of genetically diverse mouse strains are well suited to identify host genes involved in severe pathology, viral replication and immune responses. Here, we have utilized a dual RNAseq approach that allowed us to investigate both viral and host gene expression in the same individual mouse after H1N1 infection.<br />Results: We performed a detailed expression analysis to identify (i) correlations between changes in expression of host and virus genes, (ii) host genes involved in viral replication, and (iii) genes showing differential expression between two mouse strains that strongly differ in resistance to influenza infections. These genes may be key players involved in regulating the differences in pathogenesis and host defense mechanisms after influenza A infections. Expression levels of influenza segments correlated well with the viral load and may thus be used as surrogates for conventional viral load measurements. Furthermore, we investigated the functional role of two genes, Reg3g and Irf7, in knock-out mice and found that deletion of the Irf7 gene renders the host highly susceptible to H1N1 infection.<br />Conclusions: Using RNAseq analysis we identified novel genes important for viral replication or the host defense. This study adds further important knowledge to host-pathogen-interactions and suggests additional candidates that are crucial for host susceptibility or survival during influenza A infections.

Details

Language :
English
ISSN :
1471-2164
Volume :
16
Database :
MEDLINE
Journal :
BMC genomics
Publication Type :
Academic Journal
Accession number :
26329040
Full Text :
https://doi.org/10.1186/s12864-015-1867-8