Ancient positive selection on CD155 as a possible cause for susceptibility to poliovirus infection in simians

Suzuki, Yoshiyuki

doi:10.1016/j.gene.2005.12.016

Cited by 7 publications

(6 citation statements)

References 40 publications

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“…Susceptibility to murine norovirus is reportedly determined by the activity of CD300lf as a receptor for VP1 . Similar phenomena have also been observed, for example, for MERS‐CoV; the S protein of which binds to DPP4 ; poliovirus, the VP1‐VP3 of which bind to CD155 ; and so on. Because receptor functionality is a requirement for establishment of susceptibility, evaluation of the former may facilitate screening for the latter.…”

Section: Results From Docking Simulation Of Mv‐h and Immunoglobulin‐lsupporting

confidence: 72%

Predicting receptor functionality of signaling lymphocyte activation molecule for measles virus hemagglutinin by docking simulation

Suzuki

2017

Microbiology and Immunology

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Predicting susceptibility of various species to a virus assists assessment of risk of interspecies transmission. Evaluation of receptor functionality may be useful in screening for susceptibility. In this study, docking simulation was conducted for measles virus hemagglutinin (MV-H) and immunoglobulin-like variable domain of signaling lymphocyte activation molecule (SLAM-V). It was observed that the docking scores for MV-H and SLAM-V correlated with the activity of SLAM as an MV receptor. These results suggest that the receptor functionality may be predicted from the docking scores of virion surface proteins and cellular receptor molecules.

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Section: Results From Docking Simulation Of Mv‐h and Immunoglobulin‐lsupporting

confidence: 72%

Predicting receptor functionality of signaling lymphocyte activation molecule for measles virus hemagglutinin by docking simulation

Suzuki

2017

Microbiology and Immunology

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“…Both in vivo and in vitro studies have confirmed the role played by G6PD deficiency in malaria protection, probably because G6PD deficient red blood cells infected with Plasmodium experience high oxidative stress that might result in cell phagocytosis and parasite mortality (Tishkoff & Verrelli 2004). The signature of balancing selection on genes that expose to enhanced risk of disease has also been, recently, found in a gene coding for the poliovirus receptor protein ( CD155 ) (Suzuki 2006) and a genetic variant of the signal transducer and activator of transcription ( STAT6 ) gene that is associated with increased susceptibility to asthma an protection from Ascaris worm infection (Peisong et al. 2004).…”

Section: Discussionmentioning

confidence: 99%

Antagonistic effects of a Mhc class I allele on malaria‐infected house sparrows

et al. 2007

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Genes of the Major Histocompatibility Complex (Mhc) play a fundamental role during the immune response because MHC molecules expressed on cell surface allow the recognition and presentation of antigenic peptides to T-lymphocytes. Although Mhc alleles have been found to correlate with pathogen resistance in several host-parasite systems, several studies have also reported associations between Mhc alleles and an accrued infection risk or an accelerated disease progression. The existence of these susceptibility alleles is puzzling, as the cost generated by the infection should rapidly eliminate them from the population. Here, we show that susceptibility alleles may be maintained in a population of house sparrows (Passer domesticus) if they have antagonistic effects on different malaria parasites. We found that one Mhc class I allele was associated with a 2.5-fold increase in the risk to be infected with a Plasmodium strain, but with a 6.4-fold reduction in the risk to harbour a Haemoproteus strain. We suggest that this antagonistic effect might arise because Mhc genes can alter the competitive interactions between malaria parasites within the host.

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“…Identifying negatively selected amino acid sites in proteins among vertebrates may be useful for predicting deleterious mutations associated with human diseases (Ng and Henikoff, 2001;Sunyaev et al, 2001;Chun and Fay, 2009). It has also been reported that disease-associated genes were often positively selected during evolution (Medawar, 1946;Neel, 1962;Clark et al, 2003;Nielsen et al, 2005a;Suzuki, 2006a, but see also Bustamante et al, 2005;The Chimpanzee Sequencing and Analysis Consortium, 2005). In pathogens, detection of positively and negatively selected amino acid sites may be useful for predicting epitopes recognized by host immune systems (Suzuki and Gojobori, 2001) and targets of effective vaccines and drugs (Suzuki, 2004a(Suzuki, , 2006b, respectively.…”

Section: Introductionmentioning

confidence: 95%

Statistical methods for detecting natural selection from genomic data

Suzuki

2010

Genes Genet. Syst.

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In the study of molecular and phenotypic evolution, understanding the relative importance of random genetic drift and positive selection as the mechanisms for driving divergences between populations and maintaining polymorphisms within populations has been a central issue. A variety of statistical methods has been developed for detecting natural selection operating at the amino acid and nucleotide sequence levels. These methods may be largely classified into those aimed at detecting recurrent and/or recent/ongoing natural selection by utilizing the divergence and/or polymorphism data. Using these methods, pervasive positive selection has been identified for protein-coding and non-coding sequences in the genomic analysis of some organisms. However, many of these methods have been criticized by using computer simulation and real data analysis to produce excessive false-positives and to be sensitive to various disturbing factors. Importantly, some of these methods have been invalidated experimentally. These facts indicate that many of the statistical methods for detecting natural selection are unreliable. In addition, the signals that have been believed as the evidence for fixations of advantageous mutations due to positive selection may also be interpreted as the evidence for fixations of deleterious mutations due to random genetic drift. The genomic diversity data are rapidly accumulating in various organisms, and detection of natural selection may play a critical role for clarifying the relative role of random genetic drift and positive selection in molecular and phenotypic evolution. It is therefore important to develop reliable statistical methods that are unbiased as well as robust against various disturbing factors, for inferring natural selection.

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Ancient positive selection on CD155 as a possible cause for susceptibility to poliovirus infection in simians

Cited by 7 publications

References 40 publications

Predicting receptor functionality of signaling lymphocyte activation molecule for measles virus hemagglutinin by docking simulation

Predicting receptor functionality of signaling lymphocyte activation molecule for measles virus hemagglutinin by docking simulation

Antagonistic effects of a Mhc class I allele on malaria‐infected house sparrows

Statistical methods for detecting natural selection from genomic data

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