bioRxiv Science⌕ Search

Biology subjects

Duret, L.

Publications and source records attributed to Duret, L..

At least 19 recordsLinked to original sources

The eumetazoan origin of PRDM9 function revealed by cnidarian genome analysis

Where recombination takes place is crucial as it determines the position of genetic reshuffling, which facilitates species evolution and adaptation. In many vertebrates, PRDM9 determines the location of double-strand breaks that initiates meiotic recombination. However, this only applies for Prdm9 orthologs that possess certain molecular features, such as the presence of the four functional domains (KRAB, SSXRD, PR/SET and ZnF), the conservation of catalytic tyrosines and a fast-evolving zinc finger array. Although the evolutionary origin of PRDM9 has been inferred to the last common ancestor of metazoans, it has been poorly explored outside vertebrates. Here, we explored the genomes of 28 cnidarian species and identified, for all of them, at least one full-length ortholog that appeared to be functional. Striklingly, ten out of the 28 species carried several full-length paralogs with the same molecular markers of functionality. This pattern has never been observed in any other explored taxa. We also identified many truncated paralogs that arose at different times, thereby revealing an important birth-and-death dynamics of Prdm9 in cnidarians. Phylogenetic analysis revealed that the multiple full-length paralogs are all the result of recent duplication events, occuring mainly after speciation, although truncated paralogs arose all along cnidarian evolution. One of the oldest truncated paralogs appeared before the divergence between Actinaria and Scleractinia. This indicates the probable acquisition of a new function that has been conserved for at least 540 million years and whose nature is still unknown. In addition to providing insights into the ancient origins of PRDM9's function, our work now raises new questions about the functional redundancy of these multiple full-length paralogs, as well as their evolutionary significance for cnidarian genomes.

evolutionary biology↗

Breaking the species barrier: recurrent genomic introgressions from very distant lineages in a ciliate

The process of speciation, through which two reproductively isolated species emerge from an ancestral population, is often gradual, including a period during which gene flow still occurs, and hence speciation remains reversible. However, if isolation persists, the progressive accumulation of genetic incompatibilities ultimately locks the speciation process, reaching the point where hybrid offspring are inviable or sterile. In plants and animals, the establishment of species barriers is quite rapid: beyond a net genetic divergence of 0.02 substitutions per synonymous site, interspecific introgressions become extremely rare. Here we report that in ciliates, species barriers can be broken despite huge genetic divergence. We show that the genome of Paramecium sonneborni contains hundreds of DNA segments that were acquired by recurrent horizontal transfers from multiple very distant lineages (synonymous divergence [~]1 substitution/site). These segments approach the size of full-length chromosomes, which indicates that they were introgressed by inter-specific mating. These data show that in the ancestry of P. sonneborni, hybridization events with highly divergent species occurred repeatedly and led to viable and fertile offspring. We propose that this unexpected promiscuous sexual behavior is made possible by the fact that paramecia separate somatic and germline functions in two types of nuclei: the elimination of non-self DNA fragments during the development of the somatic genome allows individuals of a species to remain phenotypically the same, despite recurrent genetic flow from distant species into their germline. Significance StatementAn important issue in evolutionary biology is to understand the process of speciation, i.e. how two reproductively isolated species emerge from an ancestral population. Various factors can initiate the speciation process, but whatever the initial factor, once two populations become reproductively isolated, they start accumulating genetic incompatibilities. In plants and animals these incompatibilities accumulate rapidly, preventing the formation of viable and fertile hybrids, except between very closely related species. We show here that this rule does not apply to all eukaryotes. We discovered that the unicellular eukaryote Paramecium sonneborni recurrently acquired large DNA segments via hybridization with very distantly related species. This unexpected phenomenon highlights the diversity of factors that affect the delineation of species across eukaryotes.

evolutionary biology↗

The tiny germline chromosomes of Paramecium aurelia have anexceptionally high recombination rate and are capped by a new class of Helitrons

BackgroundParamecia belong to the ciliate phylum of unicellular eukaryotes characterized by nuclear dimorphism. A diploid germline micronucleus (MIC) transmits genetic information across sexual generations. A polyploid transcriptionally active somatic macronucleus (MAC) develops at each sexual generation from a copy of the MIC through programmed DNA elimination (PDE) of > 30% of germline DNA. PDE requires the domesticated PiggyMac (Pgm) transposase. Assembly of Paramecium germline genomes has presented an enormous challenge owing to the difficulty of MIC isolation. ResultsWe report chromosome-scale short-read MIC assemblies for 7 species from the P. aurelia species complex. We discovered a novel clade of Helitrons, with 9-10 kb transposase ORFs under purifying selection, that have remained active in all P. aurelia lineages. A long-read assembly for P. tetraurelia together with a genetic linkage map provided a nearly telomere-to-telomere assembly. Conclusions.The genome consists of tiny (300 kb - 1.2 Mb) and numerous ([~]160) germline chromosomes with the highest recombination rate ever reported for a eukaryote (420 cM/Mb). The ends of the chromosomes consist of Helitrons inserted in telomeric C4A2 repeats, forming a distinct genomic compartment that is eliminated very early during MAC development in a Pgm-independent manner.

genomics↗

Variation in the fitness impact of translationally optimal codons among animals

Early studies in invertebrate model organisms (fruit flies, nematodes) showed that their synonymous codon usage is under selective pressure to optimize translation efficiency in highly expressed genes (a process called translational selection). In contrast, mammals show little evidence of selection for translationally optimal codons. To understand this difference, we examined the use of synonymous codons in 223 metazoan species, covering a wide range of animal clades. For each species, we predicted the set of optimal codons based on the pool of tRNA genes present in its genome, and we analyzed how the frequency of optimal codons correlates with gene expression to quantify the intensity of translational selection (S). Surprisingly, few metazoans show clear signs of translational selection. As predicted by the nearly neutral theory, the highest values of S are observed in species with large effective population sizes (N e). Overall, however, N e appears to be a poor predictor of the intensity of translational selection, suggesting important differences in the fitness effect of synonymous codon usage across taxa. We propose that the few animal taxa that are clearly affected by translational selection correspond to organisms with strong constraints for a very rapid growth rate.

genomics↗

PRDM9 drives the location and rapid evolution of recombination hotspots in salmonids

In many eukaryotes, meiotic recombination occurs preferentially at discrete sites, called recombination hotspots. In various lineages, recombination hotspots are located in regions with promoter-like features and are evolutionarily stable. Conversely, in some mammals, hotspots are driven by PRDM9 that targets recombination away from promoters. Paradoxically, PRDM9 induces the self-destruction of its targets and this triggers an ultra-fast evolution of mammalian hotspots. PRDM9 is ancestral to all animals, suggesting a critical importance for the meiotic program, but has been lost in many lineages with surprisingly little effect on meiosis success. However, it is unclear whether the function of PRDM9 described in mammals is shared by other species. To investigate this, we analyzed the recombination landscape of several salmonids, the genome of which harbors one full-length PRDM9 and several truncated paralogs. We identified recombination initiation sites in Oncorhynchus mykiss by mapping meiotic DNA double-strand breaks (DSBs). We found that DNA DSBs clustered at hotspots positioned away from promoters, enriched for the H3K4me3 and H3K4me36 marks and the location of which depended on the genotype of full-length Prdm9. We observed a high level of polymorphism in the zinc finger domain of full-length Prdm9, but not of the truncated paralogs. Moreover, population-scaled recombination maps in O. mykiss, Oncorhynchus kisutch and Salmo salar revealed a rapid turnover of recombination hotspots caused by PRDM9 target motif erosion. Our results imply that PRDM9 function is conserved across vertebrates and that the peculiar evolutionary runaway caused by PRDM9 has been active for several hundred million years.

evolutionary biology↗

GTDrift: A resource for exploring the interplay between genetic drift, genomic and transcriptomic characteristics in eukaryotes

We present GTDrift, a comprehensive data resource that enables explorations of genomic and transcriptomic characteristics alongside proxies of the intensity of genetic drift in individual species. This resource encompasses data for 1,506 eukaryotic species, including 1,413 animals and 93 green plants, and is organized in three components. The first two components contain approximations of the effective population size, which serve as indicators of the extent of random genetic drift within each species. In the first component, we meticulously investigated public databases to assemble data on life history traits such as longevity, adult body length and body mass for a set of 979 species. The second component includes estimations of the ratio between the rate of non-synonymous substitutions and the rate of synonymous substitutions (dN/dS) in protein-coding sequences for 1,324 species. This ratio provides an estimate of the efficiency of natural selection in purging deleterious substitutions. Additionally, we present polymorphism-derived Ne estimates for 66 species. The third component encompasses various genomic and transcriptomic characteristics. With this component, we aim to facilitate comparative transcriptomics analyses across species, by providing easy-to-use processed data for more than 16,000 RNA-seq samples across 491 species. These data include intron-centered alternative splicing frequencies, gene expression levels and sequencing depth statistics for each species, obtained with a homogeneous analysis protocol. To enable cross-species comparisons, we provide orthology predictions for conserved single-copy genes based on BUSCO gene sets. To illustrate the possible uses of this database, we identify the most frequently used introns for each gene and we assess how the sequencing depth available for each species affects our power to identify major and minor splice variants.

evolutionary biology↗

High prevalence of Prdm9-independentrecombination hotspots in placental mammals

In many mammals, recombination events are concentrated into hotspots directed by a sequence specific DNA-binding protein named Prdm9. This protein facilitates chromosome pairing and its inactivation has been shown to induce fertility losses in mice and rats. Intriguingly, Prdm9 has been lost several times in vertebrates, and notably among mammals, it has been pseudogenized in the ancestor of canids (dogs, wolves foxes). When this gene is inactive, either naturally in dogs, or through knock-out experiments in mice, recombination hotspots still exist, but they tend to occur in promoter-like features such as CpG islands. It has thus been proposed that one role of Prdm9 could be to direct recombination away from those Prdm9-independent hotspots. However, the ability of Prdm9 to direct recombination hotspots has been assessed only in a handful of species, and a clear picture of how much recombination occurs outside of Prdm9-directed hotspots in mammals is still lacking. In this study, we derived an estimator of past recombination activity based on signatures of GC-biased gene conversion in substitution patterns. We applied it to quantify recombination activity in Prdm9-independent hotspots in 52 species of boreoeutherian mammals. We observed a wide range of recombination rate at these loci: several species (such as mice, humans, some felids or cetaceans) show a deficit of recombination, while a majority of mammals display a clear peak of recombination. Our results demonstrate that Prdm9-directed and Prdm9-independent hotspots can co-exist in mammals, and that their co-existence seem to be the rule rather than an exception.

genetics↗

Bridging the gap between the evolutionary dynamics and the molecular mechanisms of meiosis: a model based exploration of the PRDM9 intra-genomic Red Queen

Molecular dissection of meiotic recombination in mammals, combined with population-genetic and comparative studies, have revealed a complex evolutionary dynamic characterized by short-lived recombination hotspots. Hotspots are chromosome positions containing DNA sequences where the protein PRDM9 can bind and cause crossing-over. To explain these fast evolutionary dynamic, a so-called intra-genomic Red Queen model has been proposed, based on the interplay between two antagonistic forces: biased gene conversion, mediated by double-strand breaks, resulting in hotspot extinction (the hotspot conversion paradox), followed by positive selection favoring mutant PRDM9 alleles recognizing new sequence motifs. Although this model predicts many empirical observations, the exact causes of the positive selection acting on new PRDM9 alleles is still not well understood. In this direction, experiment on mouse hybrids have suggested that, in addition to targeting double strand breaks, PRDM9 has another role during meiosis. Specifically, PRDM9 symmetric binding (simultaneous binding at the same site on both homologues) would facilitate homology search and, as a result, the pairing of the homologues. Although discovered in hybrids, this second function of PRDM9 could also be involved in the evolutionary dynamic observed within populations. To address this point, here, we present a theoretical model of the evolutionary dynamic of meiotic recombination integrating current knowledge about the molecular function of PRDM9. Our modeling work gives important insights into the selective forces driving the turnover of recombination hotspots. Specifically, the reduced symmetrical binding of PRDM9 caused by the loss of high affinity binding sites induces a net positive selection eliciting new PRDM9 alleles recognizing new targets. The model also offers new insights about the influence of the gene dosage of PRDM9, which can paradoxically result in negative selection on new PRDM9 alleles entering the population, driving their eviction and thus reducing standing variation at this locus. Author summaryMeiosis is an important step in the eukaryotic life cycle, leading to the formation of gametes and implementing genetic mixing by recombination of paternal and maternal genomes. A key step of meiosis is the pairing of homologous chromosomes, which is required in order to distribute them evenly into the gametes. Chromosome pairing will also determine the exact position at which paternal and maternal chromosomes will exchange material. Research on the molecular basis of meiosis has revealed the role of a key gene, PRDM9. The protein encoded by PRDM9 binds to specific DNA sequences, by which it determines the location of recombination points. Symmetric binding of the protein (at the same position on the homologous chromosomes) also facilitates chromosome pairing. This molecular mechanism, however, has paradoxical consequences, among which the local destruction of the DNA sequences recognized by PRDM9, leading to their rapid loss at the level of the population over a short evolutionary time. In order to better understand why recombination is maintained over time despite this process, we have developed a simulation program implementing a model taking into account these molecular mechanisms. Our model makes realistic predictions about recombination evolution and confirms the important role played by PRDM9 during meiosis.

evolutionary biology↗

Phylogenetic comparative approach reveals evolutionary conservatism, ancestral composition, and integration of vertebrate gut microbiota

How host-associated microbial communities evolve as their hosts diversify remains equivocal: How conserved is their composition? What was the composition of ancestral microbiota? Do microbial taxa covary in abundance over millions of years? Multivariate phylogenetic models of trait evolution are key to answering similar questions for complex host phenotypes, yet they are not directly applicable to relative abundances, which usually characterize microbiota. Here, we extend these models in this context, thereby providing a powerful approach for estimating phylosymbiosis (the extent to which closely related host species harbor similar microbiota), ancestral microbiota composition, and integration (evolutionary covariations in bacterial abundances). We apply our model to the gut microbiota of mammals and birds. We find significant phylosymbiosis that is not entirely explained by diet and geographic location, indicating that other evolutionary-conserved traits shape microbiota composition. We identify main shifts in microbiota composition during the evolution of the two groups and infer an ancestral mammalian microbiota consistent with an insectivorous diet. We also find remarkably consistent evolutionary covariations among bacterial orders in mammals and birds. Surprisingly, despite the substantial variability of present-day gut microbiota, some aspects of their composition are conserved over millions of years of host evolutionary history.

evolutionary biology↗

Random genetic drift sets an upper limit on mRNA splicing accuracy in metazoans

Most eukaryotic genes undergo alternative splicing (AS), but the overall functional significance of this process remains a controversial issue. It has been noticed that the complexity of organisms (assayed by the number of distinct cell types) correlates positively with their genome-wide AS rate. This has been interpreted as evidence that AS plays an important role in adaptive evolution by increasing the functional repertoires of genomes. However, this observation also fits with a totally opposite interpretation: given that complex organisms tend to have small effective population sizes (Ne), they are expected to be more affected by genetic drift, and hence more prone to accumulate deleterious mutations that decrease splicing accuracy. Thus, according to this "drift barrier" theory, the elevated AS rate in complex organisms might simply result from a higher splicing error rate. To test this hypothesis, we analyzed 3,496 transcriptome sequencing samples to quantify AS in 53 metazoan species spanning a wide range of Ne values. Our results show a negative correlation between Ne proxies and the genome-wide AS rates among species, consistent with the drift barrier hypothesis. This pattern is dominated by low abundance isoforms, which represent the vast majority of the splice variant repertoire. We show that these low abundance isoforms are depleted in functional AS events, and most likely correspond to errors. Conversely, the AS rate of abundant isoforms, which are relatively enriched in functional AS events, tends to be lower in more complex species. All these observations are consistent with the hypothesis that variation in AS rates across metazoans reflects the limits set by drift on the capacity of selection to prevent gene expression errors.

evolutionary biology↗

A ganglioside-based senescence-associated immune checkpoint

Senescent cells accumulate in aging tissues, and their elimination can favor healthy aging1-4. Therefore, therapeutic interventions targeting cellular senescence may be promising strategies for delaying or reversing a vast range of age-related diseases5. As cells of the immune system are responsible for senescent cell elimination6-11, a possible anti-aging and pro-healthspan treatment is the specific activation of the immune system to induce senescent cell clearance. However, whether this elimination is limited by an immune checkpoint leading to tolerance of senescence cells is currently unknown. Here, we show that cellular senescence, elicited by various stressors other than oncogenic activation, triggers immune escape toward natural killer (NK) cells, which may thus limit the use of anti-senescence immunotherapies. Moreover, using mass spectrometry, we reveal that senescent cells reshuffle their glycosphingosine composition, toward a marked increase in the ganglioside content, including the appearance of disialylated ganglioside GD3. This senescence associated GD3 overexpression results from transcriptional upregulation of the gene encoding the enzyme ST8SIA1, which is responsible for GD3 synthesis. The high level of GD3 leads to a strong immunosuppressive signal affecting NK cell-mediated immunosurveillance. In a mouse model of lung fibrosis, senescent cell-dependent NK cell immunosuppression is blunted by in vivo administration of anti-GD3 monoclonal antibodies leading to a clear anti-fibrotic effect. These results demonstrate that GD3 upregulation in senescent cells drives a switch from immune clearance toward immune tolerance of senescent cells. Therefore, we propose that GD3 level acts as a senescence-associated immune checkpoint (SIC) that regulates NK cell functions toward senescent cells. Thus, targeting GD3 with specific antibodies may be a promising strategy for the development of effective anti-senescence immunotherapies.

immunology↗

Massive colonization of protein-coding exons by selfish genetic elements in Paramecium germline genomes

Ciliates are unicellular eukaryotes with both a germline genome and a somatic genome in the same cytoplasm. The somatic macronucleus (MAC), responsible for gene expression, is not sexually transmitted but develops from a copy of the germline micronucleus (MIC) at each sexual generation. In the MIC genome of Paramecium tetraurelia, genes are interrupted by tens of thousands of unique intervening sequences, called Internal Eliminated Sequences (IESs), that have to be precisely excised during the development of the new MAC to restore functional genes. To understand the evolutionary origin of this peculiar genomic architecture, we sequenced the MIC genomes of nine Paramecium species (from [~]100 Mb in P. aurelia species to > 1.5 Gb in P. caudatum). We detected several waves of IES gains, both in ancestral and in more recent lineages. While the vast majority of IESs are single-copy in present-day genomes, we identified several families of mobile IESs, including non-autonomous elements acquired via horizontal transfer, that generated tens to thousands of new copies. These observations provide the first direct evidence that transposable elements can account for the massive proliferation of IESs in Paramecium. The comparison of IESs of different evolutionary ages indicates that, over time, IESs shorten and diverge rapidly in sequence while they acquire features that allow them to be more efficiently excised. We nevertheless identified rare cases of IESs that are under strong purifying selection across the aurelia clade. The cases examined contain or overlap cellular genes that are inactivated by excision during development, suggesting conserved regulatory mechanisms. Similar to the evolution of introns in eukaryotes, the evolution of Paramecium IESs highlights the major role played by selfish genetic elements in shaping the complexity of genome architecture and gene expression.

genomics↗

DILS : Demographic Inferences with Linked Selection by using ABC

We present DILS, a deployable statistical analysis platform for conducting demographic inferences with linked selection from population genomic data using an Approximate Bayesian Computation framework. DILS takes as input single-population or two-population datasets (multilocus fasta sequences) and performs three types of analyses in a hierarchical manner, identifying: 1) the best demographic model to study the importance of gene flow and population size change on the genetic patterns of polymorphism and divergence, 2) the best genomic model to determine whether the effective size Ne and migration rate N.m are heterogeneously distributed along the genome (implying linked selection) and 3) loci in genomic regions most associated with barriers to gene flow. Also available via a web interface, an objective of DILS is to facilitate collaborative research in speciation genomics. Here, we show the performance and limitations of DILS by using simulations, and finally apply the method to published data on a divergence continuum composed by 28 pairs of Mytilus mussel populations/species.

evolutionary biology↗

Bedrock radioactivity influences the rate and spectrum of mutation

All organisms on Earth are exposed to low doses of natural radioactivity but some habitats are more radioactive than others. Yet, documenting the influence of natural radioactivity on the evolution of biodiversity is challenging. Here, we addressed whether organisms living in naturally more radioactive habitats accumulate more mutations across generations using 14 species of waterlice living in subterranean habitats with contrasted levels of radioactivity. We found that the mitochondrial and nuclear mutation rates across a waterlouse species genome increased on average by 60 and 30%, respectively, when radioactivity increased by a factor of three. We also found a positive correlation between the level of radioactivity and the probability of G to T (and complementary C to A) mutations, a hallmark of oxidative stress. We conclude that even low doses of natural bedrock radioactivity influence the mutation rate through the likely accumulation of oxidative damage, in particular in the mitochondrial genome.

evolutionary biology↗

Evolution of Replication Origins in Vertebrate Genomes: Rapid Turnover Despite Selective Constraints.

BackgroundThe replication programme of vertebrate genomes is driven by the chro-mosomal distribution and timing of activation of tens of thousands of replication origins. Genome-wide studies have shown the frequent association of origins with promoters and CpG islands, and their enrichment in G-quadruplex sequence motifs (G4). However, the genetic determinants driving their activity remain poorly understood. To gain insight on the functional constraints operating on replication origins and their spatial distribution, we conducted the first evolutionary comparison of genome-wide origins maps across vertebrates.\n\nResultsWe generated a high resolution genome-wide map of chicken replication origins (the first of a bird genome), and performed an extensive comparison with human and mouse maps. The analysis of intra-species polymorphism revealed a strong depletion of genetic diversity on an ~ 40 bp region centred on the replication initiation loci. Surprisingly, this depletion in genetic diversity was not linked to the presence of G4 motifs, nor to the association with promoters or CpG islands. In contrast, we also showed that origins experienced a rapid turnover during vertebrates evolution, since pairwise comparisons of origin maps revealed that only 4 to 24% of them were conserved between any two species.\n\nConclusionsThis study unravels the existence of a novel genetic determinant of replication origins, the precise functional role of which remains to be determined. Despite the importance of replication initiation activity for the fitness of organisms, the distribution of replication origins along vertebrate chromosomes is highly flexible.

evolutionary biology↗

Codon usage bias in animals: disentangling the effects of natural selection, effective population size and GC-biased gene conversion

Selection on codon usage bias is well documented in a number of microorganisms. Whether codon usage is also generally shaped by natural selection in large organisms, despite their relatively small effective population size (Ne), is unclear. Codon usage bias in animals has only been studied in a handful of model organisms so far, and can be affected by confounding, non-adaptive processes such as GC-biased gene conversion and experimental artefacts. Using population transcriptomics data we analysed the relationship between codon usage, gene expression, allele frequency distribution and recombination rate in 31 non-model species of animals, each from a different family, covering a wide range of effective population sizes. We disentangled the effects of translational selection and GC-biased gene conversion on codon usage by separately analysing GC-conservative and GC-changing mutations. We report evidence for effective translational selection on codon usage in large-Ne species of animals, but not in small-Ne ones, in agreement with the nearly neutral theory of molecular evolution. C- and T-ending codons are generally preferred over synonymous G- and A-ending ones, for reasons that remain to be determined. In contrast, we uncovered a conspicuous effect of GC-biased gene conversion, which is widespread in animals and the main force determining the fate of AT{leftrightarrow}GC mutations. Intriguingly, the strength of its effect was uncorrelated with Ne.

evolutionary biology↗

The global impact of Wolbachia on mitochondrial diversity and evolution

The spread of maternally inherited microorganisms, such as Wolbachia bacteria, can induce indirect selective sweeps on host mitochondria, to which they are linked within the cytoplasm. The resulting reduction in effective population size might lead to smaller mitochondrial diversity and reduced efficiency of natural selection. Although suggested by a few case studies, the global consequences of this process on mitochondrial diversity and evolution remains to be assessed. Here we address this question using a mapping of Wolbachia acquisition / extinction events on a large mitochondrial DNA tree, including over 1,000 species. We show that the presence of Wolbachia is associated with a twofold reduction in silent mitochondrial polymorphism, and a 13% increase in non-synonymous substitution rates. These findings validate the conjecture that the widespread distribution of Wolbachia infections throughout arthropods impacts the effective population size of mitochondria. These effects might in part explain the disconnection between genetic diversity and demographic population size in mitochondria, and also fuel red-queen-like cytonuclear coevolution through the fixation of deleterious mitochondrial alleles.

evolutionary biology↗

Unbiased Estimate Of Synonymous And Non-Synonymous Substitution Rates With Non-Stationary Base Composition

The measure of synonymous and non-synonymous substitution rates (dS and dN) is useful for assessing selection operating on protein sequences or for investigating mutational processes affecting genomes. In particular, the ratio [Formula] is expected to be a good proxy of{omega} , the probability of fixation of non-synonymous mutations relative to that of neutral mutations. Standard methods for estimating dN, dS or{omega} rely on the assumption that the base composition of sequences is at the equilibrium of the evolutionary process. In many clades, this assumption of stationarity is in fact incorrect, and we show here through simulations and through analyses of empirical data that non-stationarity biases the estimate of dN, dS and{omega} . We show that the bias in the estimate of{omega} can be fixed by explicitly considering non-stationarity in the modeling of codon evolution, in a maximum likelihood framework. Moreover, we propose an exact method of estimate of dN and dS on branches, based on stochastic mapping, that can take into account non-stationarity. This method can be directly applied to any kind of model of evolution of codons, as long as neutrality is clearly parameterized.

bioinformatics↗