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. 2015 Jul;32(7):1717-29.
doi: 10.1093/molbev/msv051. Epub 2015 Mar 10.

Adaptive Evolution as a Predictor of Species-Specific Innate Immune Response

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Adaptive Evolution as a Predictor of Species-Specific Innate Immune Response

Andrew E Webb et al. Mol Biol Evol. 2015 Jul.

Abstract

It has been proposed that positive selection may be associated with protein functional change. For example, human and macaque have different outcomes to HIV infection and it has been shown that residues under positive selection in the macaque TRIM5α receptor locate to the region known to influence species-specific response to HIV. In general, however, the relationship between sequence and function has proven difficult to fully elucidate, and it is the role of large-scale studies to help bridge this gap in our understanding by revealing major patterns in the data that correlate genotype with function or phenotype. In this study, we investigate the level of species-specific positive selection in innate immune genes from human and mouse. In total, we analyzed 456 innate immune genes using codon-based models of evolution, comparing human, mouse, and 19 other vertebrate species to identify putative species-specific positive selection. Then we used population genomic data from the recently completed Neanderthal genome project, the 1000 human genomes project, and the 17 laboratory mouse genomes project to determine whether the residues that were putatively positively selected are fixed or variable in these populations. We find evidence of species-specific positive selection on both the human and the mouse branches and we show that the classes of genes under positive selection cluster by function and by interaction. Data from this study provide us with targets to test the relationship between positive selection and protein function and ultimately to test the relationship between positive selection and discordant phenotypes.

Keywords: adaptive evolution; innate immune evolution; predicting phenotypic response; protein functional shift; species-specific responses.

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Figures

F<sc>ig</sc>. 1.
Fig. 1.
Phylogeny of species included in this study and summary of lineage-specific positive selection results. The lineages that were tested for species-specific selective pressure variation are highlighted. The number and percentage of genes displaying evidence of species-specific positive selection are also shown.
F<sc>ig</sc>. 2.
Fig. 2.
Innate immune pathways incorporating multiple positively selected genes. The positively selected genes in (a) the complement system and (b) the TLR signaling pathway are illustrated as darkened rectangles. Signaling cascades are depicted as arrows and inhibitors are depicted as blunt-ended lines. Defined pathways and complexes are highlighted in gray boxes with the given name. (c) Positively selected sites of the complement system alongside information on domain structure. Information on the function of these domains is also given.
F<sc>ig</sc>. 3.
Fig. 3.
dfi of human TLR3 ectodomain. Ribbon diagrams of the crystal structure of the TLR3 ectodomain of (a) human (PDB id: 2A0Z) and (b) mouse (PDB id: 3CIG) colored with a spectrum of red–yellow–green–cyan–blue with respect to dfi. Red indicates the highest dfi values whereas blue indicates the lowest values. (c) The stability change for all possible substitutions was computed for: the positively selected sites in mouse (E266, Y297, and E603), their human homologs (N265, W296 and P602), known human disease-associated sites (N284, F303, L412, and P554; Stenson et al. 2003, and randomly selected sites. Except for the randomly selected sites, sites have been colored and indicated on the respective ribbon diagrams.
F<sc>ig</sc>. 4.
Fig. 4.
Neutrality tests for positively selected genes in the human lineage. Sliding window analysis of Tajima’s D of the positively selected genes identified in human. The analysis was conducted using a window size of 1 kb within 100 kb upstream and downstream of each gene. The 95% confidence interval is shown as red highlighted region.

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