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      Conservation, Extensive Heterozygosity, and Convergence of Signaling Potential All Indicate a Critical Role for KIR3DL3 in Higher Primates

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          Abstract

          Natural killer (NK) cell functions are modulated by polymorphic killer cell immunoglobulin-like receptors (KIR). Among 13 human KIR genes, which vary by presence and copy number, KIR3DL3 is ubiquitously present in every individual across diverse populations. No ligand or function is known for KIR3DL3, but limited knowledge of expression suggests involvement in reproduction, likely during placentation. With 157 human alleles, KIR3DL3 is also highly polymorphic and we show heterozygosity exceeds that of HLA-B in many populations. The external domains of catarrhine primate KIR3DL3 evolved as a conserved lineage distinct from other KIR. Accordingly, and in contrast to other KIR, we show the focus of natural selection does not correspond exclusively to known ligand binding sites. Instead, a strong signal for diversifying selection occurs in the D1 Ig domain at a site involved in receptor aggregation, which we show is polymorphic in humans worldwide, suggesting differential ability for receptor aggregation. Meanwhile in the cytoplasmic tail, the first of two inhibitory tyrosine motifs (ITIM) is conserved, whereas independent genomic events have mutated the second ITIM of KIR3DL3 alleles in all great apes. Together, these findings suggest that KIR3DL3 binds a conserved ligand, and a function requiring both receptor aggregation and inhibitory signal attenuation. In this model KIR3DL3 resembles other NK cell inhibitory receptors having only one ITIM, which interact with bivalent downstream signaling proteins through dimerization. Due to the extensive conservation across species, selection, and other unusual properties, we consider elucidating the ligand and function of KIR3DL3 to be a pressing question.

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          A high-coverage genome sequence from an archaic Denisovan individual.

          We present a DNA library preparation method that has allowed us to reconstruct a high-coverage (30×) genome sequence of a Denisovan, an extinct relative of Neandertals. The quality of this genome allows a direct estimation of Denisovan heterozygosity indicating that genetic diversity in these archaic hominins was extremely low. It also allows tentative dating of the specimen on the basis of "missing evolution" in its genome, detailed measurements of Denisovan and Neandertal admixture into present-day human populations, and the generation of a near-complete catalog of genetic changes that swept to high frequency in modern humans since their divergence from Denisovans.
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            Up on the tightrope: natural killer cell activation and inhibition.

            Natural killer (NK) cells circulate through the blood, lymphatics and tissues, on patrol for the presence of transformed or pathogen-infected cells. As almost all NK cell receptors bind to host-encoded ligands, signals are constantly being transmitted into NK cells, whether they interact with normal or abnormal cells. The sophisticated repertoire of activating and inhibitory receptors that has evolved to regulate NK cell activity ensures that NK cells protect hosts against pathogens, yet prevents deleterious NK cell-driven autoimmune responses. Here I highlight recent advances in our understanding of the structural properties and signaling pathways of the inhibitory and activating NK cell receptors, with a particular focus on the ITAM-dependent activating receptors, the NKG2D-DAP10 receptor complexes and the CD244 receptor system.
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              Paleontological evidence to date the tree of life.

              The role of fossils in dating the tree of life has been misunderstood. Fossils can provide good "minimum" age estimates for branches in the tree, but "maximum" constraints on those ages are poorer. Current debates about which are the "best" fossil dates for calibration move to consideration of the most appropriate constraints on the ages of tree nodes. Because fossil-based dates are constraints, and because molecular evolution is not perfectly clock-like, analysts should use more rather than fewer dates, but there has to be a balance between many genes and few dates versus many dates and few genes. We provide "hard" minimum and "soft" maximum age constraints for 30 divergences among key genome model organisms; these should contribute to better understanding of the dating of the animal tree of life.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                28 January 2019
                2019
                : 10
                : 24
                Affiliations
                [1] 1Division of Biomedical Informatics and Personalized Medicine, University of Colorado , Aurora, CO, United States
                [2] 2Department of Microbiology & Immunology, University of Colorado , Aurora, CO, United States
                [3] 3Blood Center of Zhejiang Province , Hangzhou, China
                [4] 4Department of Structural Biology, Stanford University School of Medicine , Stanford, CA, United States
                [5] 5Department of Microbiology and Immunology, Stanford University School of Medicine , Stanford, CA, United States
                [6] 6Wellcome Trust Centre for Human Genetics, and Jenner Institute, University of Oxford , Oxford, United Kingdom
                [7] 7Institute of Social and Cultural Anthropology, School of Anthropology and Museum Ethnography, University of Oxford , Oxford, United Kingdom
                [8] 8Immunogenetics Laboratory, Shenzhen Blood Center , Shenzhen, China
                [9] 9Department of Neurology, University of California, San Francisco , San Francisco, CA, United States
                [10] 10Basic Science Program, Frederick National Laboratory for Cancer Research , Frederick, MD, United States
                [11] 11Ragon Institute of the Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University , Boston, MA, United States
                Author notes

                Edited by: Ronald Bontrop, Biomedical Primate Research Centre, Netherlands

                Reviewed by: John Trowsdale, University of Cambridge, United Kingdom; Ralf Dressel, University Medical Center Göttingen, Germany

                *Correspondence: Paul J. Norman paul.norman@ 123456ucdenver.edu

                This article was submitted to NK and Innate Lymphoid Cell Biology, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2019.00024
                6360152
                30745901
                e42347e7-f7f7-474a-b5dd-e85761409a3e
                Copyright © 2019 Leaton, Shortt, Kichula, Tao, Nemat-Gorgani, Mentzer, Oppenheimer, Deng, Hollenbach, Gignoux, Guethlein, Parham, Carrington and Norman.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 December 2018
                : 07 January 2019
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 102, Pages: 16, Words: 11168
                Funding
                Funded by: National Institutes of Health 10.13039/100000002
                Categories
                Immunology
                Original Research

                Immunology
                kir3dl3,nk cells,kir,hla class i,comparative evolution,infectious disease,reproduction
                Immunology
                kir3dl3, nk cells, kir, hla class i, comparative evolution, infectious disease, reproduction

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