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      Evolutionary conflicts between viruses and restriction factors shape immunity

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          Key Points

          • Restriction factors are cell-intrinsic genes expressed by the host that limit virus replication.

          • Restriction factors are characterized by the rapid evolution of their coding sequences (under positive selection from virus infection), by their dedicated antiviral activity, by their usual induction by interferons (although this is not always the case), and by the presence of viral antagonists that neutralize their activity in some species.

          • Several genetic mechanisms allow the host to keep pace with virus adaptations that enable the virus to evade restriction factors. These mechanisms include restriction factor heterozygosity, the duplication of restriction factor genes, and the limitation of viral evolution as a result of its effects on viral fitness.

          • The evolution of restriction factors allows one to make inferences about ancient viruses and the selection pressure that they exerted on human ancestors.

          • Because viruses evolve faster than their hosts, the innate immune system of modern-day vertebrates is generally optimized for past virus infections and not necessarily for the current viral threats in the modern world.

          Abstract

          The evolutionary 'arms race' between host restriction factors and viral antagonists has left a genetic 'signature' that can tell us much about the innate immune response to past and present viral infections.

          Abstract

          Host restriction factors are potent, widely expressed intracellular blocks to viral replication that are an important component of the innate immune response to viral infection. However, viruses have evolved mechanisms that antagonize restriction factors. Through evolutionary pressure for both host survival and virus replication, an evolutionary 'arms race' has developed that drives continuous rounds of selection for beneficial mutations in the genes encoding restriction factors and their viral antagonists. Because viruses can evolve faster than their hosts, the innate immune system of modern-day vertebrates is for the most part optimized to defend against ancient viruses, rather than newer viral threats. Thus, the evolutionary history of restriction factors might, in part, explain why humans are susceptible or resistant to the viruses present in the modern world.

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          Most cited references67

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          Molecular signatures of natural selection.

          There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. The interest stems from a basic desire to learn more about evolutionary processes in humans and other organisms, and from the realization that inferences regarding selection may provide important functional information. This review provides a nonmathematical description of the issues involved in detecting selection from DNA sequences and SNP data and is intended for readers who are not familiar with population genetic theory. Particular attention is placed on issues relating to the analysis of large-scale genomic data sets.
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            Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

            Several codon-based models for the evolution of protein-coding DNA sequences are developed that account for varying selection intensity among amino acid sites. The "neutral model" assumes two categories of sites at which amino acid replacements are either neutral or deleterious. The "positive-selection model" assumes an additional category of positively selected sites at which nonsynonymous substitutions occur at a higher rate than synonymous ones. This model is also used to identify target sites for positive selection. The models are applied to a data set of the V3 region of the HIV-1 envelope gene, sequenced at different years after the infection of one patient. The results provide strong support for variable selection intensity among amino acid sites The neutral model is rejected in favor of the positive-selection model, indicating the operation of positive selection in the region. Positively selected sites are found in both the V3 region and the flanking regions.
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              The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation.

              There has long been interest in understanding the genetic basis of human adaptation. To what extent are phenotypic differences among human populations driven by natural selection? With the recent arrival of large genome-wide data sets on human variation, there is now unprecedented opportunity for progress on this type of question. Several lines of evidence argue for an important role of positive selection in shaping human variation and differences among populations. These include studies of comparative morphology and physiology, as well as population genetic studies of candidate loci and genome-wide data. However, the data also suggest that it is unusual for strong selection to drive new mutations rapidly to fixation in particular populations (the 'hard sweep' model). We argue, instead, for alternatives to the hard sweep model: in particular, polygenic adaptation could allow rapid adaptation while not producing classical signatures of selective sweeps. We close by discussing some of the likely opportunities for progress in the field. Copyright 2010 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                memerman@fhcrc.org
                Journal
                Nat Rev Immunol
                Nat. Rev. Immunol
                Nature Reviews. Immunology
                Nature Publishing Group UK (London )
                1474-1733
                1474-1741
                14 September 2012
                2012
                : 12
                : 10
                : 687-695
                Affiliations
                [1 ]GRID grid.34477.33, ISNI 0000000122986657, Molecular and Cellular Biology Graduate Program, University of Washington, ; Seattle, 98109 Washington USA
                [2 ]GRID grid.270240.3, ISNI 0000 0001 2180 1622, Division of Human Biology, , Fred Hutchinson Cancer Research Center, ; Seattle, 98109 Washington USA
                [3 ]GRID grid.270240.3, ISNI 0000 0001 2180 1622, Division of Basic Sciences, , Fred Hutchinson Cancer Research Center, ; Seattle, 98109 Washington USA
                Article
                BFnri3295
                10.1038/nri3295
                3690816
                22976433
                39a9126e-de7a-4ab8-83f4-fc92798011d6
                © Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2012

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

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                © Springer Nature Limited 2012

                innate immunity,infection,viral infection,restriction factors,virus-host interactions

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