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Gillespie AL, Teoh J, Lee H, Prince J, Stadnisky MD, Anderson M, Nash W, Rival C, Wei H, Gamache A, Farber CR, Tung K, Brown MG. Genomic Modifiers of Natural Killer Cells, Immune Responsiveness and Lymphoid Tissue Remodeling Together Increase Host Resistance to Viral Infection. PLoS Pathog 2016; 12:e1005419. [PMID: 26845690 PMCID: PMC4742223 DOI: 10.1371/journal.ppat.1005419] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 01/05/2016] [Indexed: 02/06/2023] Open
Abstract
The MHC class I Dk molecule supplies vital host resistance during murine cytomegalovirus (MCMV) infection. Natural killer (NK) cells expressing the Ly49G2 inhibitory receptor, which specifically binds Dk, are required to control viral spread. The extent of Dk-dependent host resistance, however, differs significantly amongst related strains of mice, C57L and MA/My. As a result, we predicted that relatively small-effect modifier genetic loci might together shape immune cell features, NK cell reactivity, and the host immune response to MCMV. A robust Dk-dependent genetic effect, however, has so far hindered attempts to identify additional host resistance factors. Thus, we applied genomic mapping strategies and multicolor flow cytometric analysis of immune cells in naive and virus-infected hosts to identify genetic modifiers of the host immune response to MCMV. We discovered and validated many quantitative trait loci (QTL); these were mapped to at least 19 positions on 16 chromosomes. Intriguingly, one newly discovered non-MHC locus (Cmv5) controlled splenic NK cell accrual, secondary lymphoid organ structure, and lymphoid follicle development during MCMV infection. We infer that Cmv5 aids host resistance to MCMV infection by expanding NK cells needed to preserve and protect essential tissue structural elements, to enhance lymphoid remodeling and to increase viral clearance in spleen. Uncovering the genetic basis of resistance to viral infection and disease is critical to learning about how immune defenses might be adjusted, how to design better vaccines, and how to elicit effectual immune protection in human populations. Prior studies have shown that both MHC and non-MHC genes support host defenses, or endow specialized immune cells with efficient sensing or responsiveness to infection. Many additional resistance genes remain to be identified, including difficult to detect smaller-effect alleles, which might add to or interact with other genetic factors. Our grasp of the complex interaction involving these genetic elements is thus inadequate. We combined genomic and multiparameter phenotypic analyses to map and identify host genes that control immune cells or sensitivity to viral infection. We reasoned that some might also affect viral clearance. Thus we enumerated a range of immune cell traits in mice before and after infection, which permitted genomic analysis of viral immunity, and mapping of genetic modifiers for each trait. Our study demonstrates that distinct loci collectively regulate both NK cells and host resistance, which provides a framework to understand the genetic interactions, and a variety of potential novel targets to adjust NK cell functionality and host resistance to infection.
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Affiliation(s)
- Alyssa Lundgren Gillespie
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States of America
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
| | - Jeffrey Teoh
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Heather Lee
- Department of Biology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Jessica Prince
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States of America
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
| | - Michael D. Stadnisky
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Monique Anderson
- Department of Pathology, University of Virginia, Charlottesville, Virginia, United States of America
| | - William Nash
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Claudia Rival
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Pathology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Hairong Wei
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States of America
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
| | - Awndre Gamache
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Charles R. Farber
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
| | - Kenneth Tung
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Pathology, University of Virginia, Charlottesville, Virginia, United States of America
| | - Michael G. Brown
- Department of Medicine, Division of Nephrology, University of Virginia, Charlottesville, Virginia, United States of America
- Beirne Carter Center for Immunology Research, University of Virginia, Charlottesville, Virginia, United States of America
- Department of Microbiology, Immunology and Cancer Biology, University of Virginia, Charlottesville, Virginia, United States of America
- * E-mail:
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Abstract
While the role of viral variants has long been known to play a key role in causing variation in disease severity, it is also clear that host genetic variation plays a critical role in determining virus-induced disease responses. However, a variety of factors, including confounding environmental variables, rare genetic variants requiring extremely large cohorts, the temporal dynamics of infections, and ethical limitation on human studies, have made the identification and dissection of variant host genes and pathways difficult within human populations. This difficulty has led to the development of a variety of experimental approaches used to identify host genetic contributions to disease responses. In this chapter, we describe the history of genetic associations within the human population, the development of experimentally tractable systems, and the insights these specific approaches provide. We conclude with a discussion of recent advances that allow for the investigation of the role of complex genetic networks that underlie host responses to infection, with the goal of drawing connections to human infections. In particular, we highlight the need for robust animal models with which to directly control and assess the role of host genetics on viral infection outcomes.
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Prince J, Lundgren A, Stadnisky MD, Nash WT, Beeber A, Turner SD, Brown MG. Multiparametric analysis of host response to murine cytomegalovirus in MHC class I-disparate mice reveals primacy of Dk-licensed Ly49G2+ NK cells in viral control. THE JOURNAL OF IMMUNOLOGY 2013; 191:4709-19. [PMID: 24068668 DOI: 10.4049/jimmunol.1301388] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
MHC class I D(k) and Ly49G2 (G2) inhibitory receptor-expressing NK cells are essential to murine CMV (MCMV) resistance in MA/My mice. Without D(k), G2(+) NK cells in C57L mice fail to protect against MCMV infection. As a cognate ligand of G2, D(k) licenses G2(+) NK cells for effector activity. These data suggested that D(k)-licensed G2(+) NK cells might recognize and control MCMV infection. However, a role for licensed NK cells in viral immunity is uncertain. We combined classical genetics with flow cytometry to visualize the host response to MCMV. Immune cells collected from individuals of a diverse cohort of MA/My × C57L offspring segregating D(k) were examined before infection and postinfection, including Ly49(+) NK subsets, receptor expression features, and other phenotypic traits. To identify critical NK cell features, automated analysis of 110 traits was performed in R using the Pearson correlation, followed with a Bonferroni correction for multiple tests. Hierarchical clustering of trait associations and principal component analyses were used to discern shared immune response and genetic relationships. The results demonstrate that G2 expression on naive blood NK cells was predictive of MCMV resistance. However, rapid G2(+) NK cell expansion following viral exposure occurred selectively in D(k) offspring; this response was more highly correlated with MCMV control than all other immune cell features. We infer that D(k)-licensed G2(+) NK cells efficiently detected missing-self MHC cues on viral targets, which elicited cellular expansion and target cell killing. Therefore, MHC polymorphism regulates licensing and detection of viral targets by distinct subsets of NK cells required in innate viral control.
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Affiliation(s)
- Jessica Prince
- Division of Nephrology, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA 22908
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Lundgren A, Kim S, Stadnisky MD, Brown MG. Rapid discrimination of MHC class I and killer cell lectin-like receptor allele variants by high-resolution melt analysis. Immunogenetics 2012; 64:633-40. [PMID: 22752191 DOI: 10.1007/s00251-012-0630-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2012] [Accepted: 05/16/2012] [Indexed: 10/28/2022]
Abstract
Ly49G and H-2 class I D(k) molecules are critical to natural killer cell-mediated viral control. To examine their contributions in greater depth, we established NK gene complex (NKC)/Ly49 congenic strains and a novel genetic model defined by MHC class I D(k) disparity in congenic and transgenic mouse strains. Generation and maintenance of Ly49 and H-2 class I select strains require efficient and reproducible genotyping assays for highly polygenic and polymorphic sequences. Thus, we coupled gene- and allele-specific PCR with high-resolution melt (HRM) analysis to discriminate Ly49g and H-2 class I D and K alleles in select strains and in the F(2) and backcross hybrid offspring of different genetic crosses. We show that HRM typing for these critical immune response genes is fast, accurate, and dependable. We further demonstrate that H-2 class I D HRM typing is competent to detect and quantify transgene copy numbers in different mice with distinct genetic backgrounds. Our findings substantiate the utility and practicality of HRM genotyping for highly related genes and alleles, even those belonging to clustered multigene families. Based on these findings, we envision that HRM is capable to interrogate and quantify gene- and allele-specific variations due to differential regulation of gene expression.
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Affiliation(s)
- Alyssa Lundgren
- Department of Medicine, Division of Nephrology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
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