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New methods for detecting positive selection at single amino acid sites.

Inferring positive selection at single amino acid sites is of particular importance for studying evolutionary mechanisms of a protein. For this purpose, Suzuki and Gojobori (1999) developed a method (SG method) for comparing the rates of synonymous and nonsynonymous substitutions at each codon site in a protein-coding nucleotide sequence, using ancestral codons at interior nodes of the phylogenetic tree as inferred by the maximum parsimony method. In the SG method, however, selective neutrality of nucleotide substitutions cannot be tested at codon sites, where only termination codons are inferred at any interior node or the number of equally parsimonious inferences of ancestral codons at all interior nodes exceeds 10,000. Here I present a modified SG method which is free from these problems. Specifically, I use the distance-based Bayesian method for inferring the single most likely ancestral codon from 61 sense codons at each interior node. In the computer simulation and real data analysis, the modified SG method showed a higher overall efficiency of detecting positive selection than the original SG method, particularly at highly polymorphic codon sites. These results indicate that the modified SG method is useful for inferring positive selection at codon sites where neutrality cannot be tested by the original SG method. I also discuss that the p-distance is preferable to the number of synonymous substitutions for inferring the phylogenetic tree in the SG method, and present a maximum likelihood method for detecting positive selection at single amino acid sites, which produced reasonable results in the real data analysis.

Amino Acids↗

Stimulation of thymocytes before and after positive selection results in the induction of different NF-kappa B/Rel protein complexes.

Positive selection triggers the differentiation of immature CD4+8+TCRlow thymocytes into TCRhigh single-positive CD4+ or CD8+ cells and is associated with major changes in gene expression. However, little is known about the DNA binding factors controlling these fundamental changes. Here we have examined NF-kappa B/Rel subunit expression and DNA-binding activity in developing thymocytes before and after the induction of positive selection. We show that positive selection is accompanied by the strong up-regulation of c-rel mRNA expression and the constitutive activation of p50/p65 and p50/c-Rel NF-kappa B/Rel complexes, confirming the activation-like status of cells undergoing positive selection. Moreover, CD69+ cells that have initiated positive selection (but not their preselection CD4+8+TCR- precursors) respond to stimulation by the preferential activation of c-Rel-containing DNA-binding complexes. Because the different NF-kappa B/Rel dimers have distinct transcriptional activities and binding site preferences, this preferential activation of c-Rel-containing DNA-binding complexes may well have implications for the changes in gene expression and functional response associated with positive selection.

Amino Acid Sequence↗

An enhancer that directs lineage-specific expression of CD8 in positively selected thymocytes and mature T cells.

Positive selection of CD4+CD8+ T cells to the CD4+CD8- helper and CD4- CD8+ cytotoxic lineages is a multistep process that involves complex regulation of coreceptor gene expression. By analyzing expression of a reporter gene in transgenic mice, we have identified a DNA segment, located between the murine CD8beta and CD8alpha genes, that has enhancer activity restricted to CD8 lineage cells. Remarkably, this enhancer functions in thymocytes undergoing positive selection to the CD4-CD8+ phenotype but not in immature double-positive thymocytes. The enhancer also functions in gut intraepithelial lymphocytes that express CD8alpha but not CD8beta, suggesting that it is specific for CD8alpha expression. The tight correlation between activation of this enhancer and the final step in positive selection has important implications for understanding the mechanism of lineage commitment in thymocytes.

Animals↗

Thymic development in human CD4 transgenic mice. Positive selection occurs after commitment to the CD8 lineage.

Developing T cells are positively selected on the basis of their recognition of polymorphic MHCs (major histocompatibility molecules). The CD4 and CD8 co-receptors, together with a compatible TCR-alpha beta, bind class II and class I MHC, respectively, delivering a signal that allows T cell maturation to proceed along the appropriate co-receptor lineage. During development, thymocytes first co-express CD4 and CD8 and subsequently commit to a single co-receptor phenotype. Debate exists over the stage at which positive selection occurs. Positive selection may precede or accompany co-receptor lineage commitment or occur subsequent to the acquisition of a single co-receptor phenotype. We developed transgenic (TG) mice expressing human CD4 (huCD4) on T cells. To study differentiation of CD8+ cells, huCD4 TG mice were bred with mice lacking class I MHC (class I-). This enabled us to assess maturation of mCD8+mCD4+huCD4+ thymocytes to mCD8+mCD4-huCD4+ cells after interaction between huCD4 and mclass II MHC. In the absence of huCD4, class I- mice failed to produce mCD8+ cells. However, expression of huCD4 allowed development of mCD8+mCD4-huCD4+ T cells, suggesting that selection of cells precommitted to the mCD8+mCD4- lineage occurred. Importantly, CD8+ T cells were increased in both the thymus and the periphery of huCD4 TG x class I- animals, indicating their intrathymic origin. V beta 14+ CD8+ T cells were also increased, as predicted for positive selection of CD8+ cells bearing class II-reactive TCRs. These data provide evidence that positive selection occurs at a late stage of thymocyte differentiation, after commitment to the CD8 lineage.

Animals↗

A functional polymorphism within the MRP1 gene locus identified through its genomic signature of positive selection.

Searching for genomic evidence of positive selection has been hailed as an attractive strategy for identifying functional polymorphisms. Here, we demonstrate the feasibility of identifying functional polymorphism at the MRP1 gene locus using this strategy. The 190 kDa MRP1 protein is an efflux pump that regulates the accumulation of xenobiotics and drugs in cells. Functional sequence variations within this gene might account, in part, for inter-individual and population differences in drug response. To identify single nucleotide polymorphisms (SNPs) within the MRP1 gene with potentially important functional significance, we scanned for genomic signatures of recent positive selection at this locus in approximately 480 individuals sampled from the Chinese, Malay, Indian, European-American and African-American populations. The genetic profile of SNPs at this locus revealed high haplotype diversity and weak linkage disequilibrium (LD). Despite this weak LD, major allele G of SNP 5'FR/G-260C contained within a high frequency haplotype exhibited extended haplotype homozygosity across 135 kb in European-Americans. Using two independent genomic tests, long-range haplotype (LRH) test and the F(ST) statistic, we found statistical evidence of positive selection for this allele in the European-American population. When this SNP was recapitulated in an in vitro MRP1 promoter-reporter assay, significantly lower activity was observed from the G-containing promoter when compared with the C-containing promoter in all four cell lines that we tested (P<0.01). These observations confirm the power of this strategy in identifying functionally different alleles of genes and suggest that the different alleles at this SNP locus in the MRP1 gene may account, in part, for inter-individual variations and population differences in drug response.

Genomics↗

Radical amino acid change versus positive selection in the evolution of viral envelope proteins.

To detect positive selection in protein-coding sequence evolution, the ratio of the nonsynonymous to synonymous substitution rate (K(A)/K(S)) is commonly used. When this ratio is higher than 1, positive selection on nonsynonymous changes is considered to have occurred. However, the question of what kinds of amino acid change are likely to be involved in positive selection has not been well studied, though intuitively it seems that radical changes frequently occur in positively selected changes. To address this question, we examined chemically radical and conservative replacements in the evolution of hepatitis C virus (HCV) protein sequences. In the envelope region, 34 positively and 440 negatively selected sites were identified by the K(A)/K(S) ratio. Radical and conservative changes were compared between the two types of selected sites using two methods. First, the numbers of radical and conservative replacements were counted at the positively and negatively selected sites according to three kinds of chemical classifications. In all three classifications, the resulting ratios of the two numbers were not statistically different for the two types of selected sites (P>0.05). Second, the distribution of chemical changes was compared between the two types of selected sites using two kinds of chemical distances. The distributions of the two chemical distances were not statistically different for the two types of selected sites (P>0.05). These results indicate that the ratio of chemically radical and conservative changes is similar for positively and negatively selected sites in the envelope protein of HCV or, in other words, there is no correlation between radical change and positive selection in the evolution of this protein.

Amino Acid Substitution↗

Adaptive evolution of the spike gene of SARS coronavirus: changes in positively selected sites in different epidemic groups.

BACKGROUND: It is believed that animal-to-human transmission of severe acute respiratory syndrome (SARS) coronavirus (CoV) is the cause of the SARS outbreak worldwide. The spike (S) protein is one of the best characterized proteins of SARS-CoV, which plays a key role in SARS-CoV overcoming species barrier and accomplishing interspecies transmission from animals to humans, suggesting that it may be the major target of selective pressure. However, the process of adaptive evolution of S protein and the exact positively selected sites associated with this process remain unknown. RESULTS: By investigating the adaptive evolution of S protein, we identified twelve amino acid sites (75, 239, 244, 311, 479, 609, 613, 743, 765, 778, 1148, and 1163) in the S protein under positive selective pressure. Based on phylogenetic tree and epidemiological investigation, SARS outbreak was divided into three epidemic groups: 02-04 interspecies, 03-early-mid, and 03-late epidemic groups in the present study. Positive selection was detected in the first two groups, which represent the course of SARS-CoV interspecies transmission and of viral adaptation to human host, respectively. In contrast, purifying selection was detected in 03-late group. These indicate that S protein experiences variable positive selective pressures before reaching stabilization. A total of 25 sites in 02-04 interspecies epidemic group and 16 sites in 03-early-mid epidemic group were identified under positive selection. The identified sites were different between these two groups except for site 239, which suggests that positively selected sites are changeable between groups. Moreover, it was showed that a larger proportion (24%) of positively selected sites was located in receptor-binding domain (RBD) than in heptad repeat (HR)1-HR2 region in 02-04 interspecies epidemic group (p = 0.0208), and a greater percentage (25%) of these sites occurred in HR1-HR2 region than in RBD in 03-early-mid epidemic group (p = 0.0721). These suggest that functionally different domains of S protein may not experience same positive selection in each epidemic group. In addition, three specific replacements (F360S, T487S and L665S) were only found between 03-human SARS-CoVs and strains from 02-04 interspecies epidemic group, which reveals that selective sweep may also force the evolution of S genes before the jump of SARS-CoVs into human hosts. Since certain residues at these positively selected sites are associated with receptor recognition and/or membrane fusion, they are likely to be the crucial residues for animal-to-human transmission of SARS-CoVs, and subsequent adaptation to human hosts. CONCLUSION: The variation of positive selective pressures and positively selected sites are likely to contribute to the adaptive evolution of S protein from animals to humans.

Amino Acid Sequence↗

Patterns of positive selection in the complete NBS-LRR gene family of Arabidopsis thaliana.

Plant disease resistance genes have been shown to be subject to positive selection, particularly in the leucine rich repeat (LRR) region that may determine resistance specificity. We performed a genome-wide analysis of positive selection in members of the nucleotide binding site (NBS)-LRR gene family of Arabidopsis thaliana. Analyses were possible for 103 of 163 NBS-LRR nucleotide sequences in the genome, and the analyses uncovered substantial evidence of positive selection. Sites under positive selection were detected and identified for 10 sequence groups representing 53 NBS-LRR sequences. Functionally characterized Arabidopsis resistance genes were in these 10 groups, but several groups with extensive evidence of positive selection contained no previously characterized resistance genes. Amino acid residues under positive selection were identified, and these residues were mapped onto protein secondary structure. Positively selected positions were disproportionately located in the LRR domain (P < 0.001), particularly a nine-amino acid beta-strand submotif that is likely to be solvent exposed. However, a substantial proportion (30%) of positively selected sites were located outside LRRs, suggesting that regions other than the LRR may function in determining resistance specificity. Because of the unusual sequence variability in the LRRs of this class of proteins, secondary-structure analysis identifies LRRs that are not identified by similarity analyses alone. LRRs also contain substantial indel variation, suggesting elasticity in LRR length could also influence resistance specificity.

Amino Acid Sequence↗

Ligation of CD8 leads to apoptosis of thymocytes that have not undergone positive selection.

Thymocytes that are not positively selected are said to undergo "death by neglect." We have found that ligation of CD8, either by antibodies or MHC class I molecules, induces apoptosis of CD4(+)CD8+ double-positive (DP) thymocytes. The susceptibility of thymocytes to CD8-mediated apoptosis is developmentally regulated and confined to a subpopulation of DP thymocytes. Stimulation through CD3 protects thymocytes from CD8-mediated apoptosis. We suggest that during thymocyte development, binding of CD8 to MHC class I molecules without T cell receptor engagement induces apoptosis in immature DP thymocytes. Our data are consistent with a model in which thymocytes that do not survive positive selection undergo "death by instruction" instead of death by neglect.

Animals↗

Two separable T cell receptor signals reconstitute positive selection of CD4 lineage T cells in vivo.

Positive selection is an obligatory step during intrathymic T cell differentiation. It is associated with rescue of short-lived, self major histocompatibility complex (MHC)-restricted thymocytes from programmed cell death, CD4/CD8 T cell lineage commitment, and induction of lineage-specific differentiation programs. T cell receptor (TCR) signaling during positive selection can be closely mimicked by targeting TCR on immature thymocytes to cortical epithelial cells in situ via hybrid antibodies. We show that selection of CD4 T cell lineage cells in mice deficient for MHC class I and MHC class II expression can be reconstituted in vivo by two separable T cell receptor signaling steps, whereas a single TCR signal leads only to induction of short-lived CD4+CD8lo intermediates. These intermediates remain susceptible to a second TCR signal for 12-48 h providing an estimate for the duration of positive selection in situ. While both TCR signals induce differentiation steps, only the second one confers long-term survival on immature thymocytes. In further support of the two-step model of positive selection we provide evidence that CD4 T cell lineage cells rescued by a single hybrid antibody pulse in MHC class II-deficient mice are pre-selected by MHC class I.

Animals↗

Bayesian analysis suggests that most amino acid replacements in Drosophila are driven by positive selection.

One of the principal goals of population genetics is to understand the processes by which genetic variation within species (polymorphism) becomes converted into genetic differences between species (divergence). In this transformation, selective neutrality, near neutrality, and positive selection may each play a role, differing from one gene to the next. Synonymous nucleotide sites are often used as a uniform standard of comparison across genes on the grounds that synonymous sites are subject to relatively weak selective constraints and so may, to a first approximation, be regarded as neutral. Synonymous sites are also interdigitated with nonsynonymous sites and so are affected equally by genomic context and demographic factors. Hence a comparison of levels of polymorphism and divergence between synonymous sites and amino acid replacement sites in a gene is potentially informative about the magnitude of selective forces associated with amino acid replacements. We have analyzed 56 genes in which polymorphism data from D. simulans are compared with divergence from a reference strain of D. melanogaster. The framework of the analysis is Bayesian and assumes that the distribution of selective effects (Malthusian fitnesses) is Gaussian with a mean that differs for each gene. In such a model, the average scaled selection intensity (gamma = N(e)s) of amino acid replacements eligible to become polymorphic or fixed is -7.31, and the standard deviation of selective effects within each locus is 6.79 (assuming homoscedasticity across loci). For newly arising mutations of this type that occur in autosomal or X-linked genes, the average proportion of beneficial mutations is 19.7%. Among the amino acid polymorphisms in the sample, the expected average proportion of beneficial mutations is 47.7%, and among amino acid replacements that become fixed the average proportion of beneficial mutations is 94.3%. The average scaled selection intensity of fixed mutations is +5.1. The presence of positive selection is pervasive with the single exception of kl-5, a Y-linked fertility gene. We find no evidence that a significant fraction of fixed amino acid replacements is neutral or nearly neutral or that positive selection drives amino acid replacements at only a subset of the loci. These results are model dependent and we discuss possible modifications of the model that might allow more neutral and nearly neutral amino acid replacements to be fixed.

Amino Acid Substitution↗

Structurally similar TCRs differ in their efficiency of positive selection.

Studies of TCR transgenic mice have demonstrated that in these systems positive selection is not an efficient process. The capacity of the thymus to produce mature T cells is limited, even when all immature thymocytes express appropriate Ag receptors. Analysis of TCR transgenic mice expressing reduced levels of MHC molecules have shown that MHC surface density can be a limiting factor during development. Whether peptide availability in the thymus also limits the efficiency of positive selection remains controversial. Here, we examine the efficiency of positive selection in three similar lines of TCR transgenic mice, all of which express V alpha11/beta3+ TCRs specific for cytochrome c peptides bound to I-Ek. We demonstrate that thymocytes expressing these similar TCRs mature with very different efficiencies in H-2k mice. Furthermore, efficient positive selection of thymocytes expressing these three TCRs varies in its dependence on MHC density. These data suggest that similar TCRs can differ in their degree of specificity for peptide/MHC complexes during positive selection; some TCRs may require specific complexes for selection while other TCRs are more promiscuous in their thymic interactions. Alternatively, these three TCRs may differ in their affinities for positively selecting ligands.

Animals↗

Distinct transcriptional programs in thymocytes responding to T cell receptor, Notch, and positive selection signals.

T cell antigen receptor (TCR) signaling is necessary but not sufficient to promote the positive selection of CD4+CD8+ thymocytes into CD4+ or CD8+ mature T cells. Notch signaling has also been implicated as a potential regulator of both CD4/CD8 T cell development and TCR signaling. However, the relationship between positive selection, TCR signaling, and Notch remains unclear. Here we use DNA microarray analysis to compare gene expression changes in CD4+CD8+ double-positive thymocytes undergoing positive selection, TCR stimulation, and Notch activation. We find that the genes induced during positive selection can be resolved into two distinct sets. One set, which we term "TCR-induced," is also induced by in vitro TCR stimulation and contains a large proportion of transcription factors. A second set, which we term "positive-selection-induced," is not induced by in vitro TCR simulation and contains a large proportion of genes involved in signal transduction pathways. Genes induced by Notch activity overlap substantially with genes induced during positive selection. We also find that Notch activity potentiates the effects of TCR stimulation on gene expression. These results help to identify TCR- and positive-selection-specific transcriptional events and help to clarify the relationship between positive selection and Notch.

Animals↗

Can bone marrow-derived thymic stromal cells mediate the positive selection of class I-restricted T cells?

Positive selection of T lymphocytes expressing self. MHC-restricted T cell receptors is mediated by MHC molecules expressed on thymic stroma. Among the more controversial aspects of this process is the relative role of MHC molecules on epithelial versus bone marrow-derived stromal elements (BM-APC). For CD4+ T cells, the weight of evidence suggests that positive selection is driven solely by MHC class II molecules expressed on thymic epithelial cells. In contrast, recent experiments have been interpreted to show that CD8+ T cell development can be driven by MHC class I molecules expressed on BM-APCs as well as epithelial cells. To directly address this issue, we have examined the development of T cells expressing a transgenic, MHC class I-restricted TCR in mice deficient in the rearrangement of endogenous TCR genes. Since the transgenic TCR is the only TCR expressed, this system is extremely sensitive and specific for detecting even inefficient events in T cell development. Our experiments demonstrate that MHC class I expression exclusively on BM-APC is incapable of driving positive selection of CD8+ T cells. This finding, together with earlier experiments for MHC class II, suggests a qualitatively unique function of thymic epithelial cells in mediating positive selection.

Animals↗

Effect of recombination on the accuracy of the likelihood method for detecting positive selection at amino acid sites.

Maximum-likelihood methods based on models of codon substitution accounting for heterogeneous selective pressures across sites have proved to be powerful in detecting positive selection in protein-coding DNA sequences. Those methods are phylogeny based and do not account for the effects of recombination. When recombination occurs, such as in population data, no unique tree topology can describe the evolutionary history of the whole sequence. This violation of assumptions raises serious concerns about the likelihood method for detecting positive selection. Here we use computer simulation to evaluate the reliability of the likelihood-ratio test (LRT) for positive selection in the presence of recombination. We examine three tests based on different models of variable selective pressures among sites. Sequences are simulated using a coalescent model with recombination and analyzed using codon-based likelihood models ignoring recombination. We find that the LRT is robust to low levels of recombination (with fewer than three recombination events in the history of a sample of 10 sequences). However, at higher levels of recombination, the type I error rate can be as high as 90%, especially when the null model in the LRT is unrealistic, and the test often mistakes recombination as evidence for positive selection. The test that compares the more realistic models M7 (beta) against M8 (beta and omega) is more robust to recombination, where the null model M7 allows the positive selection pressure to vary between 0 and 1 (and so does not account for positive selection), and the alternative model M8 allows an additional discrete class with omega = d(N)/d(S) that could be estimated to be >1 (and thus accounts for positive selection). Identification of sites under positive selection by the empirical Bayes method appears to be less affected than the LRT by recombination.

Bayes Theorem↗

Positive selection of CD4(+) T cells is induced in vivo by agonist and inhibited by antagonist peptides.

The nature of peptides that positively select T cells in the thymus remains poorly defined. Here we report an in vivo model to study the mechanisms of positive selection of CD4(+) T cells. We have restored positive selection of TCR transgenic CD4(+) thymocytes, arrested at the CD4(+)CD8(+) stage, due to the lack of the endogenously selecting peptide(s), in mice deficient for H2-M and invariant chain. A single injection of soluble agonist peptide(s) initiated positive selection of CD4(+) transgenic T cells that lasted for up to 14 days. Positively selected CD4(+) T cells repopulated peripheral lymphoid organs and could respond to the antigenic peptide. Furthermore, coinjection of the antagonist peptide significantly inhibited agonist-driven positive selection. Hence, contrary to the prevailing view, positive selection of CD4(+) thymocytes can be induced in vivo by agonist peptides and may be a result of accumulation of signals from TCR engaged by different peptides bound to major histocompatibility complex class II molecules. We have also identified a candidate natural agonist peptide that induces positive selection of CD4(+) TCR transgenic thymocytes.

Amino Acid Sequence↗

A whole genome long-range haplotype (WGLRH) test for detecting imprints of positive selection in human populations.

MOTIVATION: The identification of signatures of positive selection can provide important insights into recent evolutionary history in human populations. Current methods mostly rely on allele frequency determination or focus on one or a small number of candidate chromosomal regions per study. With the availability of large-scale genotype data, efficient approaches for an unbiased whole genome scan are becoming necessary. METHODS: We have developed a new method, the whole genome long-range haplotype test (WGLRH), which uses genome-wide distributions to test for recent positive selection. Adapted from the long-range haplotype (LRH) test, the WGLRH test uses patterns of linkage disequilibrium (LD) to identify regions with extremely low historic recombination. Common haplotypes with significantly longer than expected ranges of LD given their frequencies are identified as putative signatures of recent positive selection. In addition, we have also determined the ancestral alleles of SNPs by genotyping chimpanzee and gorilla DNA, and have identified SNPs where the non-ancestral alleles have risen to extremely high frequencies in human populations, termed 'flipped SNPs'. Combining the haplotype test and the flipped SNPs determination, the WGLRH test serves as an unbiased genome-wide screen for regions under putative selection, and is potentially applicable to the study of other human populations. RESULTS: Using WGLRH and high-density oligonucleotide arrays interrogating 116 204 SNPs, we rapidly identified putative regions of positive selection in three populations (Asian, Caucasian, African-American), and extended these observations to a fourth population, Yoruba, with data obtained from the International HapMap consortium. We mapped significant regions to annotated genes. While some regions overlap with genes previously suggested to be under positive selection, many of the genes have not been previously implicated in natural selection and offer intriguing possibilities for further study. AVAILABILITY: the programs for the WGLRH algorithm are freely available and can be downloaded at http://www.affymetrix.com/support/supplement/WGLRH_program.zip.

Algorithms↗

Salmonid opsin sequences undergo positive selection and indicate an alternate evolutionary relationship in oncorhynchus.

Positive selection can be demonstrated by statistical analysis when non-synonymous nucleotide substitutions occur more frequently than synonymous substitutions (dN>dS). This pattern of sequence evolution has been observed in the rhodopsin gene of cichlids. Mutations in opsin genes resulting in amino acid (AA) replacement appear to be associated with the evolution of specific color patterns and the evolution of courtship behaviors. Within fish, AA replacements in opsin proteins have improved vision at great depths and have occurred in deep-sea species. Salmonids experience diverse photic environments during their life history. Furthermore, sexual selection has resulted in species-specific male and female coloration during spawning. To look for evidence of positive selection in salmonid opsins, we sequenced the RH1, RH2, LWS, SWS1, and SWS2 genes from six Pacific salmon species as well as the Atlantic salmon. These salmonids include landlocked and migratory species and species that vary in their coloration during spawning. In each opsin gene comparison from all species sampled, traditional dN:dS analysis did not indicate positive selection. However, the more sensitive Creevey-McInerney statistical analysis indicates that RH1 and RH2 experienced positive selection early in the evolution and speciation of salmonids.

Animals↗