Positive selection, relaxation, and acceleration in the evolution of the human and chimp genome

For years evolutionary biologists have been interested in searching for the genetic bases underlying humanness. Recent efforts at a large or a complete genomic scale have been conducted to search for positively selected genes in human and in chimp. However, recently developed methods allowing for a more sensitive and controlled approach in the detection of positive selection can be employed. Here, using 13,198 genes, we have deduced the sets of genes involved in rate acceleration, positive selection, and relaxation of selective constraints in human, in chimp, and in their ancestral lineage since the divergence from murids. Significant deviations from the strict molecular clock were observed in 469 human and in 651 chimp genes. The more stringent branch-site test of positive selection detected 108 human and 577 chimp positively selected genes. An important proportion of the positively selected genes did not show a significant acceleration in rates, and similarly, many of the accelerated genes did not show significant signals of positive selection. Functional differentiation of genes under rate acceleration, positive selection, and relaxation was not statistically significant between human and chimp with the exception of terms related to G-protein coupled receptors and sensory perception. Both of these were over-represented under relaxation in human in relation to chimp. Comparing differences between derived and ancestral lineages, a more conspicuous change in trends seems to have favored positive selection in the human lineage. Since most of the positively selected genes are different under the same functional categories between these species, we suggest that the individual roles of the alternative positively selected genes may be an important factor underlying biological differences between these species.     

Rapid Evolution by Positive Darwinian Selection in T-Cell Antigen CD4 in Primates

CD4, an integral membrane glycoprotein, plays a critical role in the immune response and in the life cycle of simian and human immunodeficiency virus (SIV and HIV). Pairwise comparisons of orthologous human and mouse genes show that CD4 is evolving much faster than the majority of mammalian genes. The acceleration is too great to be attributed to a simple relaxation of the action of purifying selection alone. Here we show that the selective pressure acting on CD4 is highly variable between regions in the protein and identify codon sites under strong positive selection. We reconstruct the coding sequences for ancestral primate CD4s and model tertiary structures of all ancestral and extant sequences. Structural mapping of positively selected sites shows they distribute on the surface of the D1 domain of CD4, where the exogenous SIV gp120 protein binds. Moreover, structural models of the ancestral sequences show substantially larger variation in the interfacial electrostatic charge on CD4 and in the surface complementary between CD4 and gp120 in CD4 lineages from primates with natural SIV infections than those without. Thus, positive selection on CD4 among primates may reflect forces driven by SIV infection and could provide a link between changes in sequence and structure of CD4 during evolution and the interaction with the immunodeficiency virus.     

The Site-Wise Log-Likelihood Score is a Good Predictor of Genes under Positive Selection

The strength and direction of selection on the identity of an amino acid residue in a protein is typically measured by the ratio of the rate of non-synonymous substitutions to the rate of synonymous substitutions. In attempting to predict positively selected sites from amino acid alignments, we made the unexpected observation that the site likelihood of an alignment column for a given tree tends to be negatively correlated with the posterior probability that site is in the positive selection class under widely-used codon models. This is likely because positively selected sites tend to be more variable and display more “radical” amino acid changes; both of these features are expected to result in low site log-likelihoods. We explored the efficacy of using the site log-likelihood (SLL) score as a predictor for positive selection. Through simulation we show that a SLL-based test has a low false positive rate and comparable power as the codon models. In one case where the simulated data violated the assumption that synonymous substitution rates were constant across the sites, the codon models were not able to detect positive selection in the data while the SLL test did. We applied the new method to ten empirical datasets and found that it made similar predictions as the codon models in eight of them. For the tax gene dataset the SLL test seemed to produce more reasonable results. The SLL methods are a valuable complement to codon models, especially for some cases where the assumptions of codon models are likely violated.     

A genome-wide identification of genes potentially associated with host specificity of <Emphasis Type="Italic">Brucella</Emphasis> species

Brucella species are facultative intracellular pathogenic α-Proteobacteria that can cause brucellosis in humans and domestic animals. The clinical and veterinary importance of the bacteria has led to well established studies on the molecular mechanisms of Brucella infection of host organisms. However, to date, no genome-wide study has scanned for genes related to the host specificity of Brucella spp. The majority of bacterial genes related to specific environmental adaptations such as host specificity are well-known to have evolved under positive selection pressure. We thus detected signals of positive selection for individual orthologous genes among Brucella genomes and identified genes related to host specificity. We first determined orthologous sets from seven completely sequenced Brucella genomes using the Reciprocal Best Hits (RBH). A maximum likelihood analysis based on the branch-site test was accomplished to examine the presence of positive selection signals, which was subsequently confirmed by phylogenetic analysis. Consequently, 12 out of 2,033 orthologous genes were positively selected by specific Brucella lineages, each of which belongs to a particular animal host. Extensive literature reviews revealed that half of these computationally identified genes are indeed involved in Brucella host specificity. We expect that this genome-wide approach based on positive selection may be reliably used to screen for genes related to environmental adaptation of a particular species and that it will provide a set of appropriate candidate genes.     

Improving the performance of positive selection inference by filtering unreliable alignment regions

Errors in the inferred multiple sequence alignment may lead to false prediction of positive selection. Recently, methods for detecting unreliable alignment regions were developed and were shown to accurately identify incorrectly aligned regions. While removing unreliable alignment regions is expected to increase the accuracy of positive selection inference, such filtering may also significantly decrease the power of the test, as positively selected regions are fast evolving, and those same regions are often those that are difficult to align. Here, we used realistic simulations that mimic sequence evolution of HIV-1 genes to test the hypothesis that the performance of positive selection inference using codon models can be improved by removing unreliable alignment regions. Our study shows that the benefit of removing unreliable regions exceeds the loss of power due to the removal of some of the true positively selected sites.     

Sexual Selection and the Molecular Evolution of ADAM Proteins

Rapid evolution has been identified for many reproductive genes and recent studies have combined phylogenetic tests and information on species mating systems to test sexual selection. Here we examined the molecular evolution of the ADAM gene family, a diverse group of 35 proteins capable of adhesion to and cleavage of other proteins, using sequence data from 25 mammalian genes. Out of the 25 genes analyzed, all those expressed in male reproductive tissue showed evidence of positive selection. Positively selected amino acids within the protein adhesion domain were only found in sperm surface ADAM proteins (ADAMs 1, 2, 3, 4, and 32) suggesting selection driven by male × female interactions. We tested heterogeneity in rates of evolution of the adhesion domain of ADAM proteins by using sequence data from Hominidae and macaques. The use of the branch and branch-site models (PAML) showed evidence of higher d _N/d _S and/or positive selection linked to branches experiencing high postmating selective pressures (chimpanzee and macaque) for Adams 2, 18, and 23. Moreover, we found consistent higher proportion of nonsynonymous relative to synonymous and noncoding sequence substitutions in chimpanzee and/or macaque only for Adams 2, 18, and 23. Our results suggest that lineage-specific sexual selection bouts might have driven the evolution of the adhesion sperm protein surface domains of ADAMs 2 and 18 in primates. Adams 2 and 18 are localized in chromosome 8 of primates and adjacent to each other, so their evolution might have also been influenced by their common genome localization.     

How to Make a Dolphin: Molecular Signature of Positive Selection in Cetacean Genome

Cetaceans are unique in being the only mammals completely adapted to an aquatic environment. This adaptation has required complex changes and sometimes a complete restructuring of physiology, behavior and morphology. Identifying genes that have been subjected to selection pressure during cetacean evolution would greatly enhance our knowledge of the ways in which genetic variation in this mammalian order has been shaped by natural selection. Here, we performed a genome-wide scan for positive selection in the dolphin lineage. We employed models of codon substitution that account for variation of selective pressure over branches on the tree and across sites in a sequence. We analyzed 7,859 nuclear-coding ortholog genes and using a series of likelihood ratio tests (LRTs), we identified 376 genes (4.8%) with molecular signatures of positive selection in the dolphin lineage. We used the cow as the sister group and compared estimates of selection in the cetacean genome to this using the same methods. This allowed us to define which genes have been exclusively under positive selection in the dolphin lineage. The enrichment analysis found that the identified positively selected genes are significantly over-represented for three exclusive functional categories only in the dolphin lineage: segment specification, mesoderm development and system development. Of particular interest for cetacean adaptation to an aquatic life are the following GeneOntology targets under positive selection: genes related to kidney, heart, lung, eye, ear and nervous system development.     

Tests for Positive Selection on Immune and Reproductive Genes in Closely Related Species of the Murine Genus <Emphasis Type="Italic">Mus</Emphasis>

Abstract We examine variation among species of Mus in four genes involved in reproduction and the immune response for evidence of positive selection: the sperm recognition gene Zp-3, the testis-determining locus Sry, the testicular cell surface matrix protein Tcp-1, and the immune system protein β₂ m. We use likelihood ratio tests in the context of a well-supported phylogeny to determine whether models that allow for positively selected sites fit the sequences better than models that assume purifying selection. We then apply a Bayesian approach to identify particular sites in each gene that have a high posterior probability of being under positive selection. We find no evidence of positive selection on the Tcp-1 gene, but for Zp-3, Sry, and β₂ m, models that allow for positively selected sites fit the sequences better than alternatives. For each of these genes, we identify sites that have a high (> 95%) posterior probability of being positively selected. For Zp-3, two of these sites occur near the sperm-binding region, while one occurs in a region whose functional role remains unstudied but where the pattern of change predicts functional importance. A single site in Sry shows an elevated rate of replacement substitution but occurs in a region of apparently little functional importance; therefore, relaxation of functional constraints may better explain the rapid evolution of this site. Three sites in β ₂ m have a posterior probability > 50% of being under positive selection. While the functional role for two of these sites is unknown, the third is known to influence the ability of MHC class I molecules to present antigens to the immune system; therefore, the elevated rate of replacement substitutions at this site is consistent with selection acting to promote variability in immune system proteins.     

The ratio of replacement to silent divergence and tests of neutrality

Comparisons of replacement to silent divergence have been used in a variety of studies aimed at detecting selection. Here, such comparisons are shown to be very sensitive to the pattern of rate variation in replacement sites. Saturation may play an important role even at surprisingly low levels of divergence if the substitution rate varies across replacement sites. For example, saturation in replacement sites may be of importance in the evolution of the HIV-1 envelope gene. However, the pattern of saturation in replacement and silent sites may, in itself, provide valuable insight into the causes of DNA evolution. 210 DNA sequences from 15 different loci/systematic groups are analyzed, and evidence for positive selection is demonstrated in at least one of these data sets, through an analysis of the distribution of substitution rates along the sequence.     

Whole-Genome Analysis Revealed the Positively Selected Genes during the Differentiation of indica and Temperate japonica Rice

To investigate the selective pressures acting on the protein-coding genes during the differentiation of indica and japonica, all of the possible orthologous genes between the Nipponbare and 93–11 genomes were identified and compared with each other. Among these genes, 8,530 pairs had identical sequences, and 27,384 pairs shared more than 90% sequence identity. Only 2,678 pairs of genes displaying a Ka/Ks ratio significantly greater than one were revealed, and most of these genes contained only nonsynonymous sites. The genes without synonymous site were further analyzed with the SNP data of 1529 O. sativa and O. rufipogon accessions, and 1068 genes were identified to be under positive selection during the differentiation of indica and temperate japonica. The positively selected genes (PSGs) are unevenly distributed on 12 chromosomes, and the proteins encoded by the PSGs are dominant with binding, transferase and hydrolase activities, and especially enriched in the plant responses to stimuli, biological regulations, and transport processes. Meanwhile, the most PSGs of the known function and/or expression were involved in the regulation of biotic/abiotic stresses. The evidence of pervasive positive selection suggested that many factors drove the differentiation of indica and japonica, which has already started in wild rice but is much lower than in cultivated rice. Lower differentiation and less PSGs revealed between the Or-It and Or-IIIt wild rice groups implied that artificial selection provides greater contribution on the differentiation than natural selection. In addition, the phylogenetic tree constructed with positively selected sites showed that the japonica varieties exhibited more diversity than indica on differentiation, and Or-III of O. rufipogon exhibited more than Or-I.     

Sequence Validation of Candidates for Selectively Important Genes in Sunflower

Analyses aimed at identifying genes that have been targeted by past selection provide a powerful means for investigating the molecular basis of adaptive differentiation. In the case of crop plants, such studies have the potential to not only shed light on important evolutionary processes, but also to identify genes of agronomic interest. In this study, we test for evidence of positive selection at the DNA sequence level in a set of candidate genes previously identified in a genome-wide scan for genotypic evidence of selection during the evolution of cultivated sunflower. In the majority of cases, we were able to confirm the effects of selection in shaping diversity at these loci. Notably, the genes that were found to be under selection via our sequence-based analyses were devoid of variation in the cultivated sunflower gene pool. This result confirms a possible strategy for streamlining the search for adaptively-important loci process by pre-screening the derived population to identify the strongest candidates before sequencing them in the ancestral population.     

Establishing genomic tools and resources for Guizotia abyssinica (L.f.) Cass.-the development of a library of expressed sequence tags, microsatellite loci, and the sequencing of its chloroplast genome

We present an EST library, chloroplast genome sequence, and nuclear microsatellite markers that were developed for the semi-domesticated oilseed crop noug (Guizotia abyssinica) from Ethiopia. The EST library consists of 25 711 Sanger reads, assembled into 17 538 contigs and singletons, of which 4781 were functionally annotated using the Arabidopsis Information Resource (TAIR). The age distribution of duplicated genes in the EST library shows evidence of two paleopolyploidizations—a pattern that noug shares with several other species in the Heliantheae tribe (Compositae family). From the EST library, we selected 43 microsatellites and then designed and tested primers for their amplification. The number of microsatellite alleles varied between 2 and 10 (average 4.67), and the average observed and expected heterozygosities were 0.49 and 0.54, respectively. The chloroplast genome was sequenced de novo using Illumina’s sequencing technology and completed with traditional Sanger sequencing. No large re-arrangements were found between the noug and sunflower chloroplast genomes, but 1.4% of sites have indels and 1.8% show sequence divergence between the two species. We identified 34 tRNAs, 4 rRNA sequences, and 80 coding sequences, including one region (trnH-psbA) with 15% sequence divergence between noug and sunflower that may be particularly useful for phylogeographic studies in noug and its wild relatives.     

Evidence for Positive Selection on a Sexual Reproduction Gene in the Diatom Genus Thalassiosira (Bacillariophyta)

Single likelihood ancestor counting (SLAC), fixed effects likelihood (FEL), and several random effects likelihood (REL) methods were utilized to identify positively and negatively selected sites in sexually induced gene 1 (Sig1) of four different Thalassiosira species. The SLAC analysis did not find any sites affected by positive selection but suggested 13 sites influenced by negative selection. The SLAC approach may be too conservative because of low sequence divergence. The FEL and REL analyses revealed over 60 negatively selected sites and two positively selected sites that were unique to each method. The REL method may not be able to reliably identify individual sites under selection when applied to short sequences with low divergence. Instead, we proposed a new alignment-wide test for adaptive evolution based on codon models with variation in synonymous and nonsynonymous substitution rates among sites and found evidence for diversifying evolution without relying on site-by-site testing. The performance of the FEL and REL approaches was evaluated by subjecting the tests to a type I error rate simulation analysis, using the specific characteristics of the Sig1 data set. Simulation results indicated that the FEL test had reasonable Type I errors, while REL might have been too liberal, suggesting that the two positively selected sites identified by FEL (codons 94 and 174) are not likely to be false positives. The evolution of these codon sites, one of which is located in functional domain II, appears to be associated with divergence among the three major Thalassiosira lineages. Electronic Supplementary Material Electronic Supplementary material is available for this article at and accessible for authorised users. [Reviewing Editor: Dr. Martin Kreitman]     

Purifying selection and positive selection on the myxovirus resistance gene in mammals and chickens

The myxovirus resistance gene (Mx) expresses antiviral activity in many species, e.g. mouse, human and chicken. It is not clear if the antiviral activity of Mx has evolved in these species to inhibit a set of species-specific pathogens, nor what factors drive Mx evolution in different animal lineages. Therefore, it is important to determine the evolutionary pattern of Mx and positively selected sites which affect the antiviral activity of the Mx gene in mammals and birds. We used sequence comparisons among species to detect positively selected sites by conducting phylogenetic analysis. The two-ratio model was significantly better than the one-ratio model in four species (mouse, rat, chicken and duck, p<0.05). Although selection pressure varied among different lineages, Mx had strong purifying selection in mammals and positive selection in chicken and duck lineages. Relative rate test revealed that Mx evolved faster in chickens than in ducks (Tajima's relative rate test, chi(2)=7.17, p<0.01). In the further analysis using a branch-site model A test, 8 sites were positively selected in the chicken lineage while no positive selection signals were observed for any site in the other lineages. The branch-site model A test had a omega value of 4.374 for the chicken lineage (2Deltal=14.20, d.f.=1, p<0.001). Comparisons of all currently available Mx mRNA sequences showed that these predicted positively selected sites had been fixed in the chicken lineage, suggesting that the chicken Mx gene evolved within the species to resist newly challenging environments. There is an increased selection constraint leading to mammals, while positive selection has acted on the chicken Mx.     

The comparative method rules! Codon volatility cannot detect positive Darwinian selection using a single genome sequence

All established methods for detecting positive selection at the molecular level rely on comparisons between nucleotide sequences. An exceptional method that purports to detect selection on the basis of a single genomic sequence has recently been proposed. This method uses a measure called "codon volatility," defined for each codon as the ratio between the number of nonsynonymous codons that differ from the codon under study at a single nucleotide position and the number of sense codons that differ from the codon under study at a single nucleotide position. Here, we examine various properties of codon volatility and its derivatives and use simulation of evolutionary processes to determine whether they can be used to detect selective pressures. Codons for only four amino acids (glycine, leucine, arginine, and serine) show any variation in codon volatility. Thus, codon volatility is mainly a proxy for amino acid usage, rather than for codon usage, with 65% of all synonymous changes and 27% of all nonsynonymous changes being undetectable by this measure. Genes identified by the volatility method as being subject to positive selection tend to have idiosyncratic amino acid compositions (e.g., they are glycine rich or arginine poor). An additional property of codon volatility is the near zero variance of its mean expectation, which translates into overestimated statistical significance estimates, especially in the absence of corrections for multiple comparisons. A comparison with measures of selection inferred through comparative methodology reveals no relationship between the results of the two methods. Finally, we show that codon volatility can increase in the absence of positive Darwinian selection; that is, increased codon volatility is not indicative of positive selection.     

Higher intensity of purifying selection on >90% of the human genes revealed by the intrinsic replacement mutation rates

For over 3 decades, the rate of replacement mutations has been assumed to be equal to, and estimated from, the rate of "strictly" neutral sequence divergence in noncoding regions and in silent-codon positions where mutations do not alter the amino acid encoded. This assumption is fundamental to estimating the fraction of harmful protein mutations and to identifying adaptive evolution at individual codons and proteins. We show that the assumption is not justifiable because a much larger fraction of codon positions is involved in hypermutable CpG dinucleotides as compared with the introns, leading to a higher expected replacement mutation rate per site in a vast majority of the genes. Consideration of this difference reveals a higher intensity of purifying natural selection than previously inferred in human genes. We also show that a much smaller number of genes are expected to be evolving with positive selection than that predicted using sequence divergence at intron and silent positions in the human genome. These patterns indicate the need for using new approaches for estimating rates of amino acid-altering mutations in order to find positively selected genes and codons in genomes that contain hypermutable CpG's.     

Positive selection in phytotoxic protein-encoding genes of Botrytis species

Evolutionary patterns of sequence divergence were analyzed in genes from the fungal genus Botrytis (Ascomycota), encoding phytotoxic proteins homologous to a necrosis and ethylene-inducing protein from Fusarium oxysporum. Fragments of two paralogous genes (designated NEP1 and NEP2) were amplified from all known Botrytis species and sequenced. NEP1 sequences of two Botrytis species contain premature stop codons, indicating that they may be non-functional. Both paralogs of all species encode proteins with a remarkably similar predicted secondary structure, however, they contain different types of post-translational modification motifs, which are conserved across the genus. While both NEP genes are, overall, under purifying selection, we identified a number of amino acids under positive selection based on inference using maximum likelihood models. Positively selected amino acids in NEP1 were not under selection in corresponding positions in NEP2. The biological significance of positively selected residues and the role of NEP proteins in pathogenesis remain to be resolved.     

Comparative study of adaptive molecular evolution in different human immunodeficiency virus groups and subtypes

Molecular adaptation, as characterized by the detection of positive selection, was quantified in a number of genes from different human immunodeficiency virus type 1 (HIV-1) group M subtypes, group O, and an HIV-2 subtype using the codon-based maximum-likelihood method of Yang and coworkers (Z. H. Yang, R. Nielsen, N. Goldman, and A. M. K. Pedersen, Genetics 155:431-449, 2000). The env gene was investigated further since it exhibited the strongest signal for positive selection compared to those of the other two major HIV genes (gag and pol). In order to investigate the pattern of adaptive evolution across env, the location and strength of positive selection in different HIV-1 sequence alignments was compared. The number of sites having a significant probability of being positively selected varied among these different alignment data sets, ranging from 25 in HIV-1 group M subtype A to 40 in HIV-1 group O. Strikingly, there was a significant tendency for positively selected sites to be located at the same position in different HIV-1 alignments, ranging from 10 to 16 shared sites for the group M intersubtype comparisons and from 6 to 8 for the group O to M comparisons, suggesting that all HIV-1 variants are subject to similar selective forces. As the host immune response is believed to be the dominant driving force of adaptive evolution in HIV, this result would suggest that the same sites are contributing to viral persistence in diverse HIV infections. Thus, the positions of the positively selected sites were investigated in reference to the inferred locations of different epitope types (antibody, T helper, and cytotoxic T lymphocytes) and the positions of N and O glycosylation sites. We found a significant tendency for positively selected sites to fall outside T-helper epitopes and for positively selected sites to be strongly associated with N glycosylation sites.