Selection acts on DNA secondary structures to decrease transcriptional mutagenesis

miRNA-like secondary structures in maize (Zea mays) genes and transposable elements correlate with small RNAs, methylation, and expression

RNA molecules carry information in their primary sequence and also their secondary structure. Secondary structure can confer important functional information, but it is also a signal for an RNAi-like host epigenetic response mediated by small RNAs (smRNAs). In this study, we used two bioinformatic methods to predict local secondary structures across features of the maize genome, focusing on small regions that had similar folding properties to pre-miRNA loci. We found miRNA-like secondary structures to be common in genes and most, but not all, superfamilies of RNA and DNA transposable elements (TEs). The miRNA-like regions map to a higher diversity of smRNAs than regions without miRNA-like structure, explaining up to 27% of variation in smRNA mapping for some TE superfamilies. This mapping bias is more pronounced among putatively autonomous TEs relative to nonautonomous TEs. Genome-wide, miRNA-like regions are also associated with elevated methylation levels, particularly in the CHH context. Among genes, those with miRNA-like secondary structure are 1.5-fold more highly expressed, on average, than other genes. However, these genes are also more variably expressed across the 26 nested association mapping founder lines, and this variability positively correlates with the number of mapping smRNAs. We conclude that local miRNA-like structures are a nearly ubiquitous feature of expressed regions of the maize genome, that they correlate with higher smRNA mapping and methylation, and that they may represent a trade-off between functional requirements and the potentially negative consequences of smRNA production.

Mutation bias and adaptation in bacteria

Genetic mutation, which provides the raw material for evolutionary adaptation, is largely a stochastic force. However, there is ample evidence showing that mutations can also exhibit strong biases, with some mutation types and certain genomic positions mutating more often than others. It is becoming increasingly clear that mutational bias can play a role in determining adaptive outcomes in bacteria in both the laboratory and the clinic. As such, understanding the causes and consequences of mutation bias can help microbiologists to anticipate and predict adaptive outcomes. In this review, we provide an overview of the mechanisms and features of the bacterial genome that cause mutational biases to occur. We then describe the environmental triggers that drive these mechanisms to be more potent and outline the adaptive scenarios where mutation bias can synergize with natural selection to define evolutionary outcomes. We conclude by describing how understanding mutagenic genomic features can help microbiologists predict areas sensitive to mutational bias, and finish by outlining future work that will help us achieve more accurate evolutionary forecasts.

L’impact des mutations neutres sur l’évolvabilité et l’évolution des génomes

Les mutations bénéfiques à forts effets sont rares et les mutations délétères sont éliminées par la sélection naturelle. La majorité des mutations qui s’accumulent dans les génomes ont donc des effets sélectifs très faibles, voire nuls ; elles sont alors appelées mutations neutres. Au cours des deux dernières décennies, il a été montré que les mutations, même en l’absence d’effet sur la valeur sélective des organismes, affectent leur évolvabilité, en donnant accès à de nouveaux phénotypes par le biais de mutations apparaissant ultérieurement, et qui n’auraient pas été disponibles autrement. En plus de cet effet, de nombreuses mutations neutres – indépendamment de leurs effets sélectifs – peuvent affecter la mutabilité de séquences d’ADN voisines, et moduler l’efficacité de la recombinaison homologue. De telles mutations ne modifient pas le spectre des phénotypes accessibles, mais plutôt la vitesse à laquelle de nouveaux phénotypes seront produits, un processus qui a des conséquences à long terme mais aussi potentiellement à court terme, en lien avec l’émergence de cancers.

A near-deterministic mutational hotspot in Pseudomonas fluorescens is constructed by multiple interacting genomic features

Mutation - whilst stochastic - is frequently biased toward certain loci. When combined with selection this results in highly repeatable and predictable evolutionary outcomes. Immotile variants of the bacterium Pseudomonas fluorescens (SBW25) possess a 'mutational hotspot' that facilitates repeated occurrences of an identical de novo single nucleotide polymorphism when re-evolving motility, where ≥95% independent lines fix the mutation ntrB A289C. Identifying hotspots of similar potency in other genes and genomic backgrounds would prove valuable for predictive evolutionary models, but to do so we must understand the genomic features that enable such a hotspot to form. Here we reveal that genomic location, local nucleotide sequence, gene strandedness and presence of mismatch repair proteins operate in combination to facilitate the formation of this mutational hotspot. Our study therefore provides a framework for utilising genomic features to predict and identify hotspot positions capable of enforcing near-deterministic evolution.

The Impact of Neutral Mutations on Genome Evolvability

Beneficial mutations are rare and deleterious mutations are purged by natural selection. As a result, the vast majority of mutations that accumulate in genomes belong to the class of neutral mutations. Over the last two decades, neutral mutations, despite their null effect on fitness, have been shown to affect evolvability by providing access to new phenotypes through subsequent mutations that would not have been available otherwise. Here we propose that in addition, many mutations - independent of their selective effects - can affect the mutability of neighboring DNA sequences and modulate the efficacy of homologous recombination. Such mutations do not change the spectrum of accessible phenotypes, but rather the rate at which new phenotypes will be produced. Therefore, neutral mutations that accumulate in genomes have an important long-term impact on the evolutionary fate of genomes.

Widespread selection for extremely high and low levels of secondary structure in coding sequences across all domains of life

Codon composition, GC content and local RNA secondary structures can have a profound effect on gene expression, and mutations affecting these parameters, even though they do not alter the protein sequence, are not neutral in terms of selection. Although evidence exists that, in some cases, selection favours more stable RNA secondary structures, we currently lack a concrete idea of how many genes are affected within a species, and whether this is a universal phenomenon in nature. We searched for signs of structural selection in a global manner, analysing a set of 1 million coding sequences from 73 species representing all domains of life, as well as viruses, by means of our newly developed software PACKEIS. We show that codon composition and amino acid identity are main determinants of RNA secondary structure. In addition, we show that the arrangement of synonymous codons within coding sequences is non-random, yielding extremely high, but also extremely low, RNA structuredness significantly more often than expected by chance. Taken together, we demonstrate that selection for high and low levels of secondary structure is a widespread phenomenon. Our results provide another line of evidence that synonymous mutations are less neutral than commonly thought, which is of importance for many evolutionary models.

Replication of G Quadruplex DNA

A cursory look at any textbook image of DNA replication might suggest that the complex machine that is the replisome runs smoothly along the chromosomal DNA. However, many DNA sequences can adopt non-B form secondary structures and these have the potential to impede progression of the replisome. A picture is emerging in which the maintenance of processive DNA replication requires the action of a significant number of additional proteins beyond the core replisome to resolve secondary structures in the DNA template. By ensuring that DNA synthesis remains closely coupled to DNA unwinding by the replicative helicase, these factors prevent impediments to the replisome from causing genetic and epigenetic instability. This review considers the circumstances in which DNA forms secondary structures, the potential responses of the eukaryotic replisome to these impediments in the light of recent advances in our understanding of its structure and operation and the mechanisms cells deploy to remove secondary structure from the DNA. To illustrate the principles involved, we focus on one of the best understood DNA secondary structures, G quadruplexes (G4s), and on the helicases that promote their resolution.

Noncanonical secondary structures arising from non-B DNA motifs are determinants of mutagenesis

Somatic mutations show variation in density across cancer genomes. Previous studies have shown that chromatin organization and replication time domains are correlated with, and thus predictive of, this variation. Here, we analyze 1809 whole-genome sequences from 10 cancer types to show that a subset of repetitive DNA sequences, called non-B motifs that predict noncanonical secondary structure formation can independently account for variation in mutation density. Combined with epigenetic factors and replication timing, the variance explained can be improved to 43%-76%. Approximately twofold mutation enrichment is observed directly within non-B motifs, is focused on exposed structural components, and is dependent on physical properties that are optimal for secondary structure formation. Therefore, there is mounting evidence that secondary structures arising from non-B motifs are not simply associated with increased mutation density-they are possibly causally implicated. Our results suggest that they are determinants of mutagenesis and increase the likelihood of recurrent mutations in the genome. This analysis calls for caution in the interpretation of recurrent mutations and highlights the importance of taking non-B motifs that can simply be inferred from the reference sequence into consideration in background models of mutability henceforth.

Therapeutic effect of green tea extract on alcohol induced hepatic mitochondrial DNA damage in albino wistar rats

The present study principally sought to investigate the effect of green tea extract (GTE) supplementation on hepatic mitochondrial DNA (mtDNA) damage in alcohol receiving rats. MtDNA was isolated from hepatic tissues of albino wistar rats after alcohol treatment with and without GTE supplementation. Entire displacement loop (D-loop) of mtDNA was screened by PCR-Sanger's sequencing method. In addition, mtDNA deletions and antioxidant activity were measured in hepatic tissue of all rats. Results showed increased frequency of D-loop mutations in alcoholic rats (ALC). DNA mfold analysis predicted higher free energy for 15507C and 16116C alleles compared to their corresponding wild alleles which represents less stable secondary structures with negative impact on overall mtDNA function. Interestingly, D-loop mutations observed in ALC rats were successfully restored on GTE supplementation. MtDNA deletions were observed in ALC rats, but intact native mtDNA was found in ALC + GTE group suggesting alcohol induced oxidative damage of mtDNA and ameliorative effect of GTE. Furthermore, markedly decreased activities of glutathione peroxidise, superoxide dismutase, catalase and glutathione content were identified in ALC rats; however, GTE supplementation significantly (P < 0.05) restored these levels close to normal. In conclusion, green tea could be used as an effective nutraceutical against alcohol induced mitochondrial DNA damage.

Links between Transcription, Environmental Adaptation and Gene Variability in Escherichia coli: Correlations between Gene Expression and Gene Variability Reflect Growth Efficiencies

Gene expression is known to be the principle factor explaining how fast genes evolve. Highly transcribed genes evolve slowly because any negative impact caused by a particular mutation is magnified by protein abundance. However, gene expression is a phenotype that depends both on the environment and on the strains or species. We studied this phenotypic plasticity by analyzing the transcriptome profiles of four Escherichia coli strains grown in three different culture media, and explored how expression variability was linked to gene allelic diversity. Genes whose expression changed according to the media and not to the strains were less polymorphic than other genes. Genes for which transcription depended predominantly on the strain were more polymorphic than other genes and were involved in sensing and responding to environmental changes, with an overrepresentation of two-component system genes. Surprisingly, we found that the correlation between transcription and gene diversity was highly variable among growth conditions and could be used to quantify growth efficiency of a strain in a medium. Genetic variability was found to increase with gene expression in poor growth conditions. As such conditions are also characterized by down-regulation of all DNA repair systems, including transcription-coupled repair, we suggest that gene expression under stressful conditions may be mutagenic and thus leads to a variability in mutation rate among genes in the genome which contributes to the pattern of protein evolution.

Frequency-dependent selection can lead to evolution of high mutation rates

Theoretical and experimental studies have shown that high mutation rates can be advantageous, especially in novel or fluctuating environments. Here we examine how frequency-dependent competition may lead to fluctuations in trait frequencies that exert upward selective pressure on mutation rates. We use a mathematical model to show that cyclical trait dynamics generated by "rock-paper-scissors" competition can cause the mutation rate in a population to converge to a high evolutionarily stable mutation rate, reflecting a trade-off between generating novelty and reproducing past success. Introducing recombination lowers the evolutionarily stable mutation rate but allows stable coexistence between mutation rates above and below the evolutionarily stable rate. Even considering strong mutational load and ignoring the costs of faithful replication, evolution favors positive mutation rates if the selective advantage of prevailing in competition exceeds the ratio of recombining to nonrecombining offspring. We discuss a number of genomic mechanisms that may meet our theoretical requirements for the adaptive evolution of mutation. Overall, our results suggest that local mutation rates may be higher on genes influencing cyclical competition and that global mutation rates in asexual species may be higher in populations subject to strong cyclical competition.

The largest unassigned regions of the male- and female-transmitted mitochondrial DNAs in Musculista senhousia (Bivalvia Mytilidae)

Musculista senhousia is a marine mussel with doubly uniparental inheritance (DUI) of mitochondria. In this study we analyzed the largest unassigned region (LUR) of its female- and male-transmitted mitochondrial genomes, described their fine characteristics and searched for shared features. Our results suggest that both LURs contain the control region of their respective mitochondrial genomes. The female-transmitted control region is duplicated in tandem, with the two copies evolving in concert. This makes the F-mtDNA of M. senhousia the first Bivalve mitochondrial genome with this feature. We also compared M. senhousia control regions to that of other Mytilidae, and demonstrated that signals for basic mtDNA functions are retained over evolutionary times even among the fast-evolving mitochondrial genomes of DUI species. Finally, we discussed how similarities between female and male LURs may be explained in the context of DUI evolution and if the duplicated female control region might have influenced the DUI system in this species.

Conservation of mRNA secondary structures may filter out mutations in Escherichia coli evolution

Recent reports indicate that mutations in viral genomes tend to preserve RNA secondary structure, and those mutations that disrupt secondary structural elements may reduce gene expression levels, thereby serving as a functional knockout. In this article, we explore the conservation of secondary structures of mRNA coding regions, a previously unknown factor in bacterial evolution, by comparing the structural consequences of mutations in essential and nonessential Escherichia coli genes accumulated over 40 000 generations in the course of the ‘long-term evolution experiment’. We monitored the extent to which mutations influence minimum free energy (MFE) values, assuming that a substantial change in MFE is indicative of structural perturbation. Our principal finding is that purifying selection tends to eliminate those mutations in essential genes that lead to greater changes of MFE values and, therefore, may be more disruptive for the corresponding mRNA secondary structures. This effect implies that synonymous mutations disrupting mRNA secondary structures may directly affect the fitness of the organism. These results demonstrate that the need to maintain intact mRNA structures imposes additional evolutionary constraints on bacterial genomes, which go beyond preservation of structure and function of the encoded proteins.

No gene-specific optimization of mutation rate in Escherichia coli

Mutation rate is one of the most fundamental parameters in genetics and evolutionary biology because mutation rate has major impacts on the incidence of disease, the amount of genetic variation, and the rate and trajectory of evolution. Based on estimates of synonymous nucleotide diversity in Escherichia coli, a recent study claimed that the per-nucleotide mutation rate in a gene decreases with the rise of its expression level or the intensity of purifying selection and that this trend reflects adaptive risk management. Here, we demonstrate that this argument is theoretically untenable, especially in the lack of mechanisms that simultaneously tune the mutabilities of multiple genes with similar fractions of deleterious mutations. Analyzing published genome sequences of E. coli mutation accumulation lines, we show that mutation rates are actually higher in more highly expressed genes, similar to previous genome-wide observations in Salmonella typhimurium, Saccharomyces cerevisiae, and the human germline. These general patterns likely arise from transcription-associated mutagenesis that exceeds transcription-coupled repair.

Non-random mutation: the evolution of targeted hypermutation and hypomutation

A widely accepted tenet of evolutionary biology is that spontaneous mutations occur randomly with regard to their fitness effect. However, since the mutation rate varies along a genome and this variation can be subject to selection, organisms might evolve lower mutation rates at loci where mutations are most deleterious or increased rates where mutations are most needed. In fact, mechanisms of targeted hypermutation are known in organisms ranging from bacteria to humans. Here we review the main forces driving the evolution of local mutation rates and identify the main limiting factors. Both targeted hyper- and hypomutation can evolve, although the former is restricted to loci under very frequent positive selection and the latter is severely limited by genetic drift. Nevertheless, we show how an association of repair with transcription or chromatin-associated proteins could overcome the drift limit and lead to non-random hypomutation along the genome in most organisms.

Structure, transcription, and variability of metazoan mitochondrial genome: perspectives from an unusual mitochondrial inheritance system

Despite its functional conservation, the mitochondrial genome (mtDNA) presents strikingly different features among eukaryotes, such as size, rearrangements, and amount of intergenic regions. Nonadaptive processes such as random genetic drift and mutation rate play a fundamental role in shaping mtDNA: the mitochondrial bottleneck and the number of germ line replications are critical factors, and different patterns of germ line differentiation could be responsible for the mtDNA diversity observed in eukaryotes. Among metazoan, bivalve mollusc mtDNAs show unusual features, like hypervariable gene arrangements, high mutation rates, large amount of intergenic regions, and, in some species, an unique inheritance system, the doubly uniparental inheritance (DUI). The DUI system offers the possibility to study the evolutionary dynamics of mtDNAs that, despite being in the same organism, experience different genetic drift and selective pressures. We used the DUI species Ruditapes philippinarum to study intergenic mtDNA functions, mitochondrial transcription, and polymorphism in gonads. We observed: 1) the presence of conserved functional elements and novel open reading frames (ORFs) that could explain the evolutionary persistence of intergenic regions and may be involved in DUI-specific features; 2) that mtDNA transcription is lineage-specific and independent from the nuclear background; and 3) that male-transmitted and female-transmitted mtDNAs have a similar amount of polymorphism but of different kinds, due to different population size and selection efficiency. Our results are consistent with the hypotheses that mtDNA evolution is strongly dependent on the dynamics of germ line formation, and that the establishment of a male-transmitted mtDNA lineage can increase male fitness through selection on sperm function.

Genomic evidence for elevated mutation rates in highly expressed genes

Reporter gene assays have demonstrated both transcription-associated mutagenesis (TAM) and transcription-coupled repair, but the net impact of transcription on mutation rate remains unclear, especially at the genomic scale. Using comparative genomics of related species as well as mutation accumulation lines, we show in yeast that the rate of point mutation in a gene increases with the expression level of the gene. Transcription induces mutagenesis on both DNA strands, indicating simultaneous actions of several TAM mechanisms. A significant positive correlation is also detected between the human germline mutation rate and expression level. These results indicate that transcription is overall mutagenic.

Non-silent story on synonymous sites in voltage-gated ion channel genes

Synonymous mutations are usually referred to as “silent”, but increasing evidence shows that they are not neutral in a wide range of organisms. We looked into the relationship between synonymous codon usage bias and residue importance of voltage-gated ion channel proteins in mice, rats, and humans. We tested whether translationally optimal codons are associated with transmembrane or channel-forming regions, i.e., the sites that are particularly likely to be involved in the closing and opening of an ion channel. Our hypothesis is that translationally optimal codons are preferred at the sites within transmembrane domains or channel-forming regions in voltage-gated ion channel genes to avoid mistranslation-induced protein misfolding or loss-of-function. Using the Mantel-Haenszel procedure, which applies to categorical data, we found that translationally optimal codons are more likely to be used at transmembrane residues and the residues involved in channel-forming. We also found that the conservation level at synonymous sites in the transmembrane region is significantly higher than that in the non-transmembrane region. This study provides evidence that synonymous sites in voltage-gated ion channel genes are not neutral. Silent mutations at channel-related sites may lead to dysfunction of the ion channel.

Translationally optimal codons associate with aggregation-prone sites in proteins

We analyze the relationship between codon usage bias and residue aggregation propensity in the genomes of four model organisms, Escherichia coli, yeast, fly, and mouse, as well as the archaeon Halobacterium species NRC-1. Using the Mantel-Haenszel procedure, we find that translationally optimal codons associate with aggregation-prone residues. Our results are qualitatively and quantitatively similar to those of an earlier study where we found an association between translationally optimal codons and buried residues. We also combine the aggregation-propensity data with solvent-accessibility data. Although the resulting data set is small, and hence statistical power low, results indicate that the association between optimal codons and aggregation-prone residues exists both at buried and at exposed sites. By comparing codon usage at different combinations of sites (exposed, aggregation-prone sites versus buried, non-aggregation-prone sites; buried, aggregation-prone sites versus exposed, non-aggregation-prone sites), we find that aggregation propensity and solvent accessibility seem to have independent effects of (on average) comparable magnitude on codon usage. Finally, in fly, we assess whether optimal codons associate with sites at which amino acid substitutions lead to an increase in aggregation propensity, and find only a very weak effect. These results suggest that optimal codons may be required to reduce the frequency of translation errors at aggregation-prone sites that coincide with certain functional sites, such as protein-protein interfaces. Alternatively, optimal codons may be required for rapid translation of aggregation-prone regions.

Identification of species by multiplex analysis of variable-length sequences

The quest for a universal and efficient method of identifying species has been a longstanding challenge in biology. Here, we show that accurate identification of species in all domains of life can be accomplished by multiplex analysis of variable-length sequences containing multiple insertion/deletion variants. The new method, called SPInDel, is able to discriminate 93.3% of eukaryotic species from 18 taxonomic groups. We also demonstrate that the identification of prokaryotic and viral species with numeric profiles of fragment lengths is generally straightforward. A computational platform is presented to facilitate the planning of projects and includes a large data set with nearly 1800 numeric profiles for species in all domains of life (1556 for eukaryotes, 105 for prokaryotes and 130 for viruses). Finally, a SPInDel profiling kit for discrimination of 10 mammalian species was successfully validated on highly processed food products with species mixtures and proved to be easily adaptable to multiple screening procedures routinely used in molecular biology laboratories. These results suggest that SPInDel is a reliable and cost-effective method for broad-spectrum species identification that is appropriate for use in suboptimal samples and is amenable to different high-throughput genotyping platforms without the need for DNA sequencing.

Transcription-associated mutagenesis increases protein sequence diversity more effectively than does random mutagenesis in Escherichia coli

Background

During transcription, the nontranscribed DNA strand becomes single-stranded DNA (ssDNA), which can form secondary structures. Unpaired bases in the ssDNA are less protected from mutagens and hence experience more mutations than do paired bases. These mutations are called transcription-associated mutations. Transcription-associated mutagenesis is increased under stress and depends on the DNA sequence. Therefore, selection might significantly influence protein-coding sequences in terms of the transcription-associated mutability per transcription event under stress to improve the survival of Escherichia coli.

Methodology/Principal Findings

The mutability index (MI) was developed by Wright et al. to estimate the relative transcription-associated mutability of bases per transcription event. Using the most stable fold of each ssDNA that have an average length n, MI was defined as (the number of folds in which the base is unpaired)/n×(highest –ΔG of all n folds in which the base is unpaired), where ΔG is the free energy. The MI values show a significant correlation with mutation data under stress but not with spontaneous mutations in E. coli. Protein sequence diversity is preferred under stress but not under favorable conditions. Therefore, we evaluated the selection pressure on MI in terms of the protein sequence diversity for all the protein-coding sequences in E. coli. The distributions of the MI values were lower at bases that could be substituted with each of the other three bases without affecting the amino acid sequence than at bases that could not be so substituted. Start codons had lower distributions of MI values than did nonstart codons.

Conclusions/Significance

Our results suggest that the majority of protein-coding sequences have evolved to promote protein sequence diversity and to reduce gene knockout under stress. Consequently, transcription-associated mutagenesis increases protein sequence diversity more effectively than does random mutagenesis under stress. Nonrandom transcription-associated mutagenesis under stress should improve the survival of E. coli.

Detecting positive and purifying selection at synonymous sites in yeast and worm

We present a new computational method to identify positive and purifying selection at synonymous sites in yeast and worm. We define synonymous substitutions that change codons from preferred to unpreferred or vice versa as nonconservative synonymous substitutions and all other substitutions as conservative. Using a maximum-likelihood framework, we then test whether conservative and nonconservative synonymous substitutions occur at equal rates. Our approach replaces the standard rate of synonymous substitutions per synonymous site, dS, with two new rates, the conservative synonymous substitution rate (dS(C)) and the nonconservative synonymous substitution rate (dS(N)). Based on the ratio dS(N)/dS(C), we find that 0.05% of all yeast genes and none of worm genes show evidence of positive selection at synonymous sites (dS(N)/dS(C) > 1). On the other hand, 9.44% of all yeast genes and 5.12% of all worm genes show evidence of significant purifying selection on synonymous sites (dS(N)/dS(C) < 1). We also find that dS(N) correlates strongly with gene expression level, whereas the correlation between expression level and dS(C) is very weak. Thus, dS(N) captures most of the signal of selection for translational accuracy and speed, whereas dS(C) is not strongly influenced by this selection pressure. We suggest that the ratio dN/dS(C) may be more appropriate than the ratio dN/dS to identify positive or purifying selection on amino acids.

A universal trend of reduced mRNA stability near the translation-initiation site in prokaryotes and eukaryotes

Recent studies have suggested that the thermodynamic stability of mRNA secondary structure near the start codon can regulate translation efficiency in Escherichia coli, and that translation is more efficient the less stable the secondary structure. We survey the complete genomes of 340 species for signals of reduced mRNA secondary structure near the start codon. Our analysis includes bacteria, archaea, fungi, plants, insects, fishes, birds, and mammals. We find that nearly all species show evidence for reduced mRNA stability near the start codon. The reduction in stability generally increases with increasing genomic GC content. In prokaryotes, the reduction also increases with decreasing optimal growth temperature. Within genomes, there is variation in the stability among genes, and this variation correlates with gene GC content, codon bias, and gene expression level. For birds and mammals, however, we do not find a genome-wide trend of reduced mRNA stability near the start codon. Yet the most GC rich genes in these organisms do show such a signal. We conclude that reduced stability of the mRNA secondary structure near the start codon is a universal feature of all cellular life. We suggest that the origin of this reduction is selection for efficient recognition of the start codon by initiator-tRNA.

Synonymous mutations are mutations that change the nucleotide sequence of a gene without changing the amino-acid sequence. Because these mutations don't alter the expressed protein, they are frequently also called silent mutations. Yet increasing evidence demonstrates that synonymous mutations are not that silent. In particular, experimental work in Escherichia coli has shown that the choice of synonymous codons near the start codon can greatly influence protein production. Codons that allow the mRNA to fold into a stable secondary structure seem to inhibit efficient translation initiation. This observation suggests that selection should prefer reduced mRNA stability near the start codon in many organisms. Here, we show that this prediction generally holds true in most organisms, including bacteria, archaea, fungi, plants, insects, and fishes. In birds and mammals it doesn't hold true genome-wide, but it does hold true in the most GC-rich genes. In all organisms, the extent to which mRNA stability is reduced increases with increasing GC content. In prokaryotes, it also increases with decreasing optimal growing temperature. Thus, it seems that all organisms have to optimize their synonymous sites near the start codon to guarantee efficient protein translation.

Experimentally increased codon bias in the Drosophila Adh gene leads to an increase in larval, but not adult, alcohol dehydrogenase activity

Although most amino acids can be encoded by more than one codon, the synonymous codons are not used with equal frequency. This phenomenon is known as codon bias and appears to be a universal feature of genomes. The translational selection hypothesis posits that the use of optimal codons, which match the most abundant species of isoaccepting tRNAs, results in increased translational efficiency and accuracy. Previous work demonstrated that the experimental reduction of codon bias in the Drosophila alcohol dehydrogenase (Adh) gene led to a significant decrease in ADH protein expression. In this study we performed the converse experiment: we replaced seven suboptimal leucine codons that occur naturally in the Drosophila melanogaster Adh gene with the optimal codon. We then compared the in vivo ADH activities imparted by the wild-type and mutant alleles. The introduction of optimal leucine codons led to an increase in ADH activity in third-instar larvae. In adult flies, however, the introduction of optimal codons led to a decrease in ADH activity. There is no evidence that other selectively constrained features of the Adh gene, or its rate of transcription, were altered by the synonymous replacements. These results are consistent with translational selection for codon bias being stronger in the larval stage and suggest that there may be a selective conflict over optimal codon usage between different developmental stages.

Locus-specific decoupling of base composition evolution at synonymous sites and introns along the Drosophila melanogaster and Drosophila sechellia lineages

Selection is thought to be partially responsible for patterns of molecular evolution at synonymous sites within numerous Drosophila species. Recently, “per-site” and likelihood methods have been developed to detect loci for which positive selection is a major component of synonymous site evolution. An underlying assumption of these methods, however, is a homogeneous mutation process. To address this potential shortcoming, we perform a complementary analysis making gene-by-gene comparisons of paired synonymous site and intron substitution rates toward and away from the nucleotides G and C because preferred codons are G or C ending in Drosophila. This comparison may reduce both the false-positive rate (due to broadscale heterogeneity in mutation) and false-negative rate (due to lack of power comparing small numbers of sites) of the per-site and likelihood methods. We detect loci with patterns of evolution suggestive of synonymous site selection pressures predominately favoring unpreferred and preferred codons along the Drosophila melanogaster and Drosophila sechellia lineages, respectively. Intron selection pressures do not appear sufficient to explain all these results as the magnitude of the difference in synonymous and intron evolution is dependent on recombination environment and chromosomal location in a direction supporting the hypothesis of selectively driven synonymous fixations. This comparison identifies 101 loci with an apparent switch in codon preference between D. melanogaster and D. sechellia, a pattern previously only observed at the Notch locus.

Translationally optimal codons associate with structurally sensitive sites in proteins

The mistranslation-induced protein misfolding hypothesis predicts that selection should prefer high-fidelity codons at sites at which translation errors are structurally disruptive and lead to protein misfolding and aggregation. To test this hypothesis, we analyzed the relationship between codon usage bias and protein structure in the genomes of four model organisms, Escherichia coli, yeast, fly, and mouse. Using both the Mantel-Haenszel procedure, which applies to categorical data, and a newly developed association test for continuous variables, we find that translationally optimal codons associate with buried residues and also with residues at sites where mutations lead to large changes in free energy (DeltaDeltaG). In each species, only a subset of all amino acids show this signal, but most amino acids show the signal in at least one species. By repeating the analysis on a reduced data set that excludes interdomain linkers, we show that our results are not caused by an association of rare codons with solvent-accessible linker regions. Finally, we find that our results depend weakly on expression level; the association between optimal codons and buried sites exists at all expression levels, but increases in strength as expression level increases.

Synonymous genes explore different evolutionary landscapes

The evolutionary potential of a gene is constrained not only by the amino acid sequence of its product, but by its DNA sequence as well. The topology of the genetic code is such that half of the amino acids exhibit synonymous codons that can reach different subsets of amino acids from each other through single mutation. Thus, synonymous DNA sequences should access different regions of the protein sequence space through a limited number of mutations, and this may deeply influence the evolution of natural proteins. Here, we demonstrate that this feature can be of value for manipulating protein evolvability. We designed an algorithm that, starting from an input gene, constructs a synonymous sequence that systematically includes the codons with the most different evolutionary perspectives; i.e., codons that maximize accessibility to amino acids previously unreachable from the template by point mutation. A synonymous version of a bacterial antibiotic resistance gene was computed and synthesized. When concurrently submitted to identical directed evolution protocols, both the wild type and the recoded sequence led to the isolation of specific, advantageous phenotypic variants. Simulations based on a mutation isolated only from the synthetic gene libraries were conducted to assess the impact of sub-functional selective constraints, such as codon usage, on natural adaptation. Our data demonstrate that rational design of synonymous synthetic genes stands as an affordable improvement to any directed evolution protocol. We show that using two synonymous DNA sequences improves the overall yield of the procedure by increasing the diversity of mutants generated. These results provide conclusive evidence that synonymous coding sequences do experience different areas of the corresponding protein adaptive landscape, and that a sequence's codon usage effectively constrains the evolution of the encoded protein.

The temporal dynamics of slightly deleterious mutations in Escherichia coli and Shigella spp

The Shigella are recently emerged clones of Escherichia coli, which have independently adopted an intracellular pathogenic lifestyle. We examined the molecular evolutionary consequences of this niche specialization by comparing the normalized, directional frequency profiles of unique polymorphisms within 2,098 orthologues representing the intersection of five E. coli and four Shigella genomes. We note a surfeit of AT-enriching changes (GC-->AT), transversions, and nonsynonymous changes in the Shigella genomes. By examining these differences within a temporal framework, we conclude that our results are consistent with relaxed or inefficient selection in Shigella owing to a reduced effective population size. Alternative interpretations, and the interesting exception of Shigella sonnei, are discussed. Finally, this analysis lends support to the view that nucleotide composition typically does not lie at mutational equilibrium but that selection plays a role in maintaining a higher GC content than would result solely from mutation bias. This argument sheds light on the enrichment of adenine and thymine in the genomes of bacterial endosymbionts where purifying selection is very weak.

Evidence for variable selective pressures at a large secondary structure of the human mitochondrial DNA control region

A combined effect of functional constraints and random mutational events is responsible for the sequence evolution of the human mitochondrial DNA (mtDNA) control region. Most studies targeting this noncoding segment usually focus on its primary sequence information disregarding other informative levels such as secondary or tertiary DNA conformations. In this work, we combined the most recent developments in DNA folding calculations with a phylogenetic comparative approach in order to investigate the formation of intrastrand secondary structures in the human mtDNA control region. Our most striking results are those regarding a new cloverleaf-like secondary structure predicted for a 93-bp stretch of the control region 5'-peripheral domain. Randomized sequences indicated that this structure has a more negative folding energy than the average of random sequences with the same nucleotide composition. In addition, a sliding window scan across the complete mitochondrial genome revealed that it stands out as having one of the highest folding potential. Moreover, we detected several lines of evidence of both negative and positive selection on this structure with high levels of conservation at the structure-relevant stem regions and the occurrence of compensatory base changes in the primate lineage. In the light of previous data, we discuss the possible involvement of this structure in mtDNA replication and/or transcription. We conclude that maintenance of this structure is responsible for the observed heterogeneity in the rate of substitution among sites in part of the human hypervariable region I and that it is a hot spot for the 3' end of human mtDNA deletions.

Analyzing the evolution of RNA secondary structures in vertebrate introns using Kimura's model of compensatory fitness interactions

Previous studies have shown that splicing efficiency, and thus maturation of pre-mRNA, depends on the correct folding of the RNA molecule into a secondary or higher order structure. When disrupted by a mutation, aberrant folding may result in a lower splicing efficiency. However, the structure can be restored by a second, compensatory mutation. Here, we present a logistic regression approach to analyze the evolutionary dynamics of RNA secondary structures. We apply our approach to a set of computationally predicted RNA secondary structures in vertebrate introns. Our results are consistent with the hypothesis of a negative influence of the physical distance between pairing nucleotides on the occurrence of covariations, as predicted by Kimura's model of compensatory evolution. We also confirm the hypothesis that longer local secondary structure elements (helices) can accommodate a larger number of covariations, wobbles, and mismatches. Furthermore, we find that wobbles and mismatches are more frequent in the middle of a helix, whereas covariations occur preferentially at the helix ends. The GC content is a major determinant of this pattern.

I. VH gene transcription creates stabilized secondary structures for coordinated mutagenesis during somatic hypermutation

During the adaptive immune response, antigen challenge triggers a million-fold increase in mutation rates in the variable-region antibody genes. The frequency of mutation is causally and directly linked to transcription, which provides ssDNA and drives supercoiling that stabilizes secondary structures containing unpaired, intrinsically mutable bases. Simulation analysis of transcription in VH5 reveals a dominant 65nt secondary structure in the non-transcribed strand containing six sites of mutable ssDNA that have also been identified independently in human B cell lines and in primary mouse B cells. This dominant structure inter-converts briefly with less stable structures and is formed repeatedly during transcription, due to periodic pauses and backtracking. In effect, this creates a stable yet dynamic "mutability platform" consisting of ever-changing patterns of unpaired bases that are simultaneously exposed and therefore able to coordinate mutagenesis. Such a complex of secondary structures may be the source of ssDNA for enzyme-based diversification, which ultimately results in high affinity antibodies.

Apparent mutational hotspots and long distance linkage disequilibrium resulting from a bottleneck

Genome wide patterns of nucleotide diversity and recombination reveal considerable variation including hotspots. Some studies suggest that these patterns are primarily dictated by individual locus history related at a broader scale to the population demographic history. Because bottlenecks have occurred in the history of numerous species, we undertook a simulation approach to investigate their impact on the patterns of aggregation of polymorphic sites and linkage disequilibrium (LD). We developed a new index (Polymorphism Aggregation Index) to characterize this aggregation and showed that variation in the density of polymorphic sites results from an interplay between the bottleneck scenario and the recombination rate. Under particular conditions, aggregation is maximized and apparent mutation hotspots resulting in a 50-fold increase in polymorphic sites density can occur. In similar conditions, long distance LD can be detected.