Modeling Host Genetic Regulation of Influenza Pathogenesis in the Collaborative Cross

被引:155
作者
Ferris, Martin T. [1 ,2 ]
Aylor, David L. [2 ]
Bottomly, Daniel [3 ,4 ]
Whitmore, Alan C. [1 ]
Aicher, Lauri D. [3 ,5 ]
Bell, Timothy A. [2 ]
Bradel-Tretheway, Birgit [3 ,5 ]
Bryan, Janine T. [3 ,5 ]
Buus, Ryan J. [2 ]
Gralinski, Lisa E. [1 ,6 ]
Haagmans, Bart L. [7 ]
McMillan, Leonard [8 ]
Miller, Darla R. [2 ]
Rosenzweig, Elizabeth [3 ,5 ]
Valdar, William [2 ]
Wang, Jeremy [8 ]
Churchill, Gary A. [9 ]
Threadgill, David W. [10 ]
McWeeney, Shannon K. [3 ,4 ]
Katze, Michael G. [3 ,5 ]
de Villena, Fernando Pardo-Manuel [2 ,3 ,11 ]
Baric, Ralph S. [1 ,4 ,6 ]
Heise, Mark T. [1 ,2 ,3 ,11 ]
机构
[1] Univ N Carolina, Carolina Vaccine Inst, Chapel Hill, NC 27599 USA
[2] Univ N Carolina, Dept Genet, Chapel Hill, NC USA
[3] Pacific Northwest Reg Ctr Excellence Biodef & Eme, Portland, OR USA
[4] Oregon Hlth & Sci Univ, Oregon Clin & Translat Res Inst, Portland, OR 97201 USA
[5] Univ Washington, Sch Med, Dept Microbiol, Seattle, WA 98195 USA
[6] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC USA
[7] Erasmus MC, Rotterdam, Netherlands
[8] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC USA
[9] Jackson Lab, Bar Harbor, ME 04609 USA
[10] N Carolina State Univ, Dept Genet, Raleigh, NC 27695 USA
[11] Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USA
关键词
QUANTITATIVE TRAIT LOCI; COEXPRESSION NETWORK ANALYSIS; GENOME-WIDE ASSOCIATION; A-VIRUS-INFECTION; IMMUNE-RESPONSES; LABORATORY MOUSE; SUBSPECIFIC ORIGIN; PANDEMIC VIRUS; AGED MICE; MX1; GENE;
D O I
10.1371/journal.ppat.1003196
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Genetic variation contributes to host responses and outcomes following infection by influenza A virus or other viral infections. Yet narrow windows of disease symptoms and confounding environmental factors have made it difficult to identify polymorphic genes that contribute to differential disease outcomes in human populations. Therefore, to control for these confounding environmental variables in a system that models the levels of genetic diversity found in outbred populations such as humans, we used incipient lines of the highly genetically diverse Collaborative Cross (CC) recombinant inbred (RI) panel (the pre-CC population) to study how genetic variation impacts influenza associated disease across a genetically diverse population. A wide range of variation in influenza disease related phenotypes including virus replication, virus-induced inflammation, and weight loss was observed. Many of the disease associated phenotypes were correlated, with viral replication and virus-induced inflammation being predictors of virus-induced weight loss. Despite these correlations, pre-CC mice with unique and novel disease phenotype combinations were observed. We also identified sets of transcripts (modules) that were correlated with aspects of disease. In order to identify how host genetic polymorphisms contribute to the observed variation in disease, we conducted quantitative trait loci (QTL) mapping. We identified several QTL contributing to specific aspects of the host response including virus-induced weight loss, titer, pulmonary edema, neutrophil recruitment to the airways, and transcriptional expression. Existing whole-genome sequence data was applied to identify high priority candidate genes within QTL regions. A key host response QTL was located at the site of the known anti-influenza Mx1 gene. We sequenced the coding regions of Mx1 in the eight CC founder strains, and identified a novel Mx1 allele that showed reduced ability to inhibit viral replication, while maintaining protection from weight loss.
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页数:15
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