Biology subjects

Galtier, N.

Publications and source records attributed to Galtier, N..

At least 19 recordsLinked to original sources

bioRxiv2026

Protein response to deleterious episodes of GC-biased gene conversion in mammals of different Ne

GC-biased gene conversion (gBGC) is a widespread recombination-associated process that favours the fixation of GC alleles independently of their fitness. In coding regions, it can oppose purifying selection and favour the accumulation of deleterious AT to GC mutations. In mammals where recombination hotspots are predominantly determined by PRDM9, the deleterious effect of gBGC is expected to be episodic due to the rapid turnover of hotspots. The deleterious impact of gBGC episodes on proteins has been well documented, particularly in rodents and primates. However, the evolutionary response of the affected proteins after the episodes end has been scarcely investigated. Theory predicts that a decline in gBGC intensity should trigger a compensatory response that enables previous damage to be repaired. Recently, we reported evidence for pervasive compensatory evolution following gBGC episodes in Hydromyini rodents. Here, we aimed to investigate whether this post- gBGC compensation is widespread among mammals in which gBGC is episodic. Using a phylogenetic approach, we analysed substitution patterns in coding exons from five mammalian taxa spanning a range of effective population size (Ne): Murini, Rattini, Cetacea, Cercopithecidae and Hominoidae. We detected thousands of gBGC episodes, characterised by an increased rate of non-synonymous AT to GC substitutions. We found evidence for compensatory evolution in non-primate taxa, and a lack of signal in Primates. Although the influence of Ne remains unclear, our study highlights both the evolutionary significance of post-gBGC compensation and the methodological challenges in detecting it.

genomics↗

bioRxiv2025

Molecular re-adaptation: compensatory evolution following deleterious episodes of GC-biased gene conversion in rodents

GC-biased gene conversion (gBGC) is a widespread evolutionary force associated with meiotic recombination that favours the accumulation of deleterious AT to GC substitutions in proteins, moving them away from their fitness optimum. In many mammals recombination hotspots have a rapid turnover, leading to episodic gBGC, with the accumulation of deleterious mutations stopping when the recombination hotspot dies. Selection is therefore expected to act to repair the damage caused by gBGC episodes through compensatory evolution. However, this process has never been studied or quantified so far. Here, we analysed the nucleotide substitution pattern in coding sequences of a highly diversified group of Murinae rodents. Using phylogenetic analyses of about 70,000 coding exons, we identified numerous exon-specific, lineage-specific gBGC episodes, characterised by a clustering of synonymous AT to GC substitutions and by an increasing rate of non-synonymous AT to GC substitutions, many of which are potentially deleterious. Analysing the molecular evolution of the affected exons in downstream lineages, we found evidence for pervasive compensatory evolution after deleterious gBGC episodes. Compensation appears to occur rapidly after the end of the episode, and to be driven by the standing genetic variation rather than new mutations. Our results demonstrate the impact of gBGC on the evolution of amino-acid sequences, and underline the key role of epistasis in protein adaptation. This study contributes to a growing body of literature emphasizing that adaptive mutations, which arise in response to environmental changes, are just one subset of beneficial mutations, alongside mutations resulting from oscillations around the fitness optimum.

genomics↗

bioRxiv2024

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↗

bioRxiv2023

Phylogenetic conflicts: distinguishing gene flow from incomplete lineage sorting

Gene flow and incomplete lineage sorting are two distinct sources of phylogenetic conflict, i.e., gene trees that differ in topology from each other and from the species tree. Distinguishing between the two processes is a key objective of current evolutionary genomics. This is most often pursued via the so-called ABBA-BABA type of method, which relies on a prediction of symmetry of gene tree discordance made by the incomplete lineage sorting hypothesis. Gene flow, however, need not be asymmetric, and when it is not, ABBA-BABA approaches do not properly measure the prevalence of gene flow. I introduce Aphid, an approximate maximum-likelihood method aimed at quantifying the sources of phylogenetic conflict via topology and branch length analysis of three-species gene trees. Aphid draws information from the fact that gene trees affected by gene flow tend to have shorter branches, and gene trees affected by incomplete lineage sorting longer branches, than the average gene tree. Accounting for the among-loci variance in mutation rate and gene flow time, Aphid returns estimates of the speciation times and ancestral effective population size, and a posterior assessment of the contribution of gene flow and incomplete lineage sorting to the conflict. Simulations suggest that Aphid is reasonably robust to a wide range of conditions. Analysis of coding and non-coding data in primates illustrates the potential of the approach and reveals that a substantial fraction of the human/chimpanzee/gorilla phylogenetic conflict is due to ancient gene flow. Aphid also predicts older speciation times and a smaller estimated effective population size in this group, compared to existing analyses assuming no gene flow.

evolutionary biology↗

bioRxiv2023

Co-segregation of recombinant chromatids maintains genome-wide heterozygosity in an asexual nematode

In asexual animals, female meiosis is modified to produce diploid oocytes. Associated with recombination, this is expected to lead to a rapid loss of heterozygosity, with adverse effects on fitness. Many asexuals, however, have a heterozygous genome, the underlying mechanisms being most often unknown. Cytological and population genomic analyses in the nematode Mesorhabditis belari revealed another case of recombining asexual being highly heterozygous genome-wide. We demonstrated that heterozygosity is maintained because the recombinant chromatids of each chromosome pair co-segregate during the unique meiotic division. A theoretical model confirmed that this segregation bias is necessary to account for the observed pattern and likely to evolve under a wide range of conditions. Our study uncovers a new type of cell division involving Directed Chromatid Assortment. One sentence summaryGenome wide heterozygosity in the asexual nematode Mesorhabditis belari is achieved by directed assortment of recombinant chromatids during female meiosis

evolutionary biology↗

bioRxiv2022

Performance and limitations of linkage-disequilibrium-basedmethods for inferring the genomic landscape of recombination anddetecting hotspots: a simulation study

Knowledge of recombination rate variation along the genome provides important insights into genome and phenotypic evolution. Population genomic approaches offer an attractive way to infer the population-scaled recombination rate {rho}=4Ner using the linkage disequilibrium information contained in DNA sequence polymorphism data. Such methods have been used in a broad range of plant and animal species to build genome-wide recombination maps. However, the reliability of these inferences has only been assessed under a restrictive set of conditions. Here, we evaluate the ability of one of the most widely used coalescent-based programs, LDhelmet, to infer a genomic landscape of recombination with the biological characteristics of a human-like landscape including hotspots. Using simulations, we specifically assessed the impact of methodological (sample size, phasing errors, block penalty) and evolutionary parameters (effective population size (Ne), demographic history, mutation to recombination rate ratio) on inferred map quality. We report reasonably good correlations between simulated and inferred landscapes, but point to limitations when it comes to detecting recombination hotspots. False positive and false negative hotspots considerably confound fine-scale patterns of inferred recombination under a wide range of conditions, particularly when Ne is small and the mutation/recombination rate ratio is low, to the extent that maps inferred from populations sharing the same recombination landscape appear uncorrelated. We thus address a message of caution for the users of these approaches, at least for genomes with complex recombination landscapes such as in humans.

genomics↗

bioRxiv2021

Detection of F1 hybrids from single-genome data reveals frequent hybridization in Hymenoptera and particularly ants

Hybridization occupies a central role in many fundamental evolutionary processes, such as speciation or adaptation. Yet, despite its pivotal importance in evolution, little is known about the actual prevalence and distribution of hybridization across the tree of life. Here we develop and implement a new statistical method enabling the detection of F1 hybrids from single-individual genome sequencing data. Using simulations and sequencing data from known hybrid systems, we first demonstrate the specificity of the method, and identify its statistical limits. Next, we showcase the method by applying it to available sequencing data from more than 1500 species of Arthropods, including Hymenoptera, Hemiptera, Coleoptera, Diptera and Archnida. Among these taxa, we find Hymenoptera, and especially ants, to display the highest number of candidate F1 hybrids, suggesting higher rates of recent hybridization in these groups. The prevalence of F1 hybrids was heterogeneously distributed across ants, with taxa including many candidates tending to harbor specific ecological and life history traits. This work shows how large-scale genomic comparative studies of recent hybridization can be implemented, uncovering the determinants of hybridization frequency across whole taxa.

evolutionary biology↗

bioRxiv2021

Fine-scale quantification of GC-biased gene conversion intensity in mammals.

GC-biased gene conversion (gBGC) is a molecular evolutionary force that favours GC over AT alleles irrespective of their fitness effect. Quantifying the variation in time and across genomes of its intensity is key to properly interpret patterns of molecular evolution. In particular, the existing literature is unclear regarding the relationship between gBGC strength and species effective population size, Ne. Here we analysed the nucleotide substitution pattern in coding sequences of closely related species of mammals, thus accessing a high resolution map of the intensity of gBGC. Our maximum likelihood approach shows that gBGC is pervasive, highly variable among species and genes, and of strength positively correlated with Ne in mammals. We estimate that gBGC explains up to 60% of the total amount of synonymous AT[->]GC substitutions. We show that the fine-scale analysis of gBGC-induced nucleotide substitutions has the potential to inform on various aspects of molecular evolution, such as the distribution of fitness effects of mutations and the dynamics of recombination hotspots.

evolutionary biology↗

bioRxiv2020

Haplotype divergence supports ancient asexuality in the oribatid mite Oppiella nova

Sex strongly impacts genome evolution via recombination and segregation. In the absence of these processes, haplotypes within lineages of diploid organisms are predicted to accumulate mutations independently of each other and diverge over time. This so-called Meselson effect is regarded as a strong indicator of the long-term evolution under obligate asexuality. Here, we present genomic and transcriptomic data of three populations of the asexual oribatid mite species Oppiella nova and its sexual relative Oppiella subpectinata. We document strikingly different patterns of haplotype divergence between the two species, strongly supporting Meselson effect like evolution and ancient asexuality in O. nova: (I) Variation within individuals exceeds variation between populations in O. nova but vice versa in O. subpectinata. (II) Two O. nova sub-lineages feature a high proportion of heterozygous genotypes and lineage-specific haplotypes, indicating that haplotypes diverged independently within the two lineages after their split. (III) The deepest split in gene trees generally separates haplotypes in O. nova, but populations in O. subpectinata. (IV) Tree topologies of the two haplotypes match each other. Our findings provide positive evidence for the absence of sex over evolutionary time in O. nova and suggest that asexual oribatid mites can escape the dead-end fate usually associated with asexual lineages.

evolutionary biology↗

bioRxiv2020

First annotated draft genomes of non-marine ostracods (Ostracoda, Crustacea) with different reproductive modes

ABSTRACTSOstracods are one of the oldest crustacean groups with an excellent fossil record and high importance for phylogenetic analyses but genome resources for this class are still lacking. We have successfully assembled and annotated the first reference genomes for three species of non-marine ostracods; two with obligate sexual reproduction (Cyprideis torosa and Notodromas monacha) and the putative ancient asexual Darwinula stevensoni. This kind of genomic research has so far been impeded by the small size of most ostracods and the absence of genetic resources such as linkage maps or BAC libraries that were available for other crustaceans. For genome assembly, we used an Illumina-based sequencing technology, resulting in assemblies of similar sizes for the three species (335-382Mb) and with scaffold numbers and their N50 (19-56 kb) in the same orders of magnitude. Gene annotations were guided by transcriptome data from each species. The three assemblies are relatively complete with BUSCO scores of 92-96%, and thus exceed the quality of several other published crustacean genomes obtained with similar techniques. The number of predicted genes (13,771-17,776) is in the same range as Branchiopoda genomes but lower than in most malacostracan genomes. These three reference genomes from non-marine ostracods provide the urgently needed basis to further develop ostracods as models for evolutionary and ecological research.

evolutionary biology↗

bioRxiv2020

Convergent consequences of parthenogenesis on stick insect genomes

The shift from sexual reproduction to parthenogenesis has occurred repeatedly in animals, but how the loss of sex affects genome evolution remains poorly understood. We generated de novo reference genomes for five independently evolved parthenogenetic species in the stick insect genus Timema and their closest sexual relatives. Using these references in combination with population genomic data, we show that parthenogenesis results in an extreme reduction of heterozygosity, and often leads to genetically uniform populations. We also find evidence for less effective positive selection in parthenogenetic species, supporting the view that sex is ubiquitous in natural populations because it facilitates fast rates of adaptation. Contrary to studies of non-recombining genome portions in sexual species, genomes of parthenogenetic species do not accumulate transposable elements (TEs), likely because successful parthenogens derive from sexual ancestors with inactive TEs. Because we are able to conduct replicated comparisons across five species pairs, our study reveals, for the first time, how animal genomes evolve in the absence of sex in natural populations, providing empirical support for the negative consequences of parthenogenetic reproduction as predicted by theory.

evolutionary biology↗

bioRxiv2020

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↗

bioRxiv2020

The Multilocus Multispecies Coalescent: A FlexibleNew Model of Gene Family Evolution

AO_SCPLOWBSTRACTC_SCPLOWIncomplete lineage sorting (ILS), the interaction between coalescence and speciation, can generate incongruence between gene trees and species trees, as can gene duplication (D), transfer (T) and loss (L). These processes are usually modelled independently, but in reality, ILS can affect gene copy number polymorphism, i.e., interfere with DTL. This has been previously recognised, but not treated in a satisfactory way, mainly because DTL events are naturally modelled forward-in-time, while ILS is naturally modelled backwards-in-time with the coalescent. Here we consider the joint action of ILS and DTL on the gene tree/species tree problem in all its complexity. In particular, we show that the interaction between ILS and duplications/transfers (without losses) can result in patterns usually interpreted as resulting from gene loss, and that the realised rate of D, T and L becomes non-homogeneous in time when ILS is taken into account. We introduce algorithmic solutions to these problems. Our new model, the multilocus multispecies coalescent (MLMSC), which also accounts for any level of linkage between loci, generalises the multispecies coalescent model and offers a versatile, powerful framework for proper simulation and inference of gene family evolution.

evolutionary biology↗

bioRxiv2019

How much does Ne vary among species?

AO_SCPLOWBSTRACTC_SCPLOWGenetic drift is an important evolutionary force of strength inversely proportional to Ne, the effective population size. The impact of drift on genome diversity and evolution is known to vary among species, but quantifying this effect is a difficult task. Here we assess the magnitude of variation in drift power among species of animals via its effect on the mutation load - which implies also inferring the distribution of fitness effects of deleterious mutations (DFE). To this aim, we analyze the non-synonymous (amino-acid changing) and synonymous (amino-acid conservative) allele frequency spectra in a large sample of metazoan species, with a focus on the primates vs. fruit flies contrast. We show that a Gamma model of the DFE is not suitable due to strong differences in estimated shape parameters among taxa, while adding a class of lethal mutations essentially solves the problem. Using the Gamma + lethal model and assuming that the mean deleterious effects of non-synonymous mutations is shared among species, we estimate that the power of drift varies by a factor of at least 500 between large-Ne and small-Ne species of animals, i.e., an order of magnitude more than the among-species variation in genetic diversity. Our results are relevant to Lewontins paradox while further questioning the meaning of the Ne parameter in population genomics.

evolutionary biology↗

bioRxiv2019

Is adaptation limited by mutation? A timescale dependent effect of genetic diversity on the adaptive substitution rate in animals.

Whether adaptation is limited by the beneficial mutation supply is a long-standing question of evolutionary genetics, which is more generally related to the determination of the adaptive substitution rate and its relationship with the effective population size Ne. Empirical evidence reported so far is equivocal, with some but not all studies supporting a higher adaptive substitution rate in large-Ne than in small-Ne species.\n\nWe gathered coding sequence polymorphism data and estimated the adaptive amino-acid substitution rate {omega}a, in 50 species from ten distant groups of animals with markedly different population mutation rate {theta}. We reveal the existence of a complex, timescale dependent relationship between species adaptive substitution rate and genetic diversity. We find a positive relationship between {omega}a and {theta} among closely related species, indicating that adaptation is indeed limited by the mutation supply, but this was only true in relatively low-{theta} taxa. In contrast, we uncover a weak negative correlation between {omega}a and {theta} at a larger taxonomic scale. This result is consistent with Fishers geometrical model predictions and suggests that the proportion of beneficial mutations scales negatively with species long-term Ne.

evolutionary biology↗

bioRxiv2018

Sexually dimorphic gene expression and transcriptome evolution provides mixed evidence for a fast-Z effect in Heliconius

Sex chromosomes have different evolutionary properties as compared to the autosomes due to their hemizygous nature. In particular, recessive mutations are more readily exposed to selection, which can lead to faster rates of molecular evolution. Here, we report patterns of gene expression and molecular evolution in the sex chromosomes of a group of tropical butterflies. We first improved the completeness of the Heliconius melpomene reference annotation, a neotropical butterfly with a ZW sex determination system. Then we sequenced RNA from male and female whole abdomens and female ovary and gut tissue to identify sex and tissue specific gene expression profiles in H. melpomene. Using these expression profiles we compare sequence divergence and polymorphism, the strength of positive and negative selection and rates of adaptive evolution for Z and autosomal genes between two species of Heliconius butterflies, H. melpomene and H. erato.\n\nWe show that the rate of adaptive substitutions is higher for Z as compared to autosomal genes, but contrary to expectation it is also higher for male as compared to female biased genes. There is therefore mixed evidence that hemizygosity influences the rate of adaptive substitutions. Additionally, we find no significant increase in the rate of adaptive evolution or purifying selection on genes expressed in ovary tissue, a heterogametic specific tissue. Together our results provide limited support for fast-Z evolution. This contributes to a growing body of literature from other ZW systems that also provide mixed evidence for a fast-Z effect.

evolutionary biology↗

bioRxiv2017

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↗

bioRxiv2017

Reconstruction of body mass evolution in the Cetartiodactyla and mammals using phylogenomic data.

This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100042).\n\nReconstructing ancestral characters on a phylogeny is an arduous task because the observed states at the tips of the tree correspond to a single realization of the underlying evolutionary process. Recently, it was proposed that ancestral traits can be indirectly estimated with the help of molecular data, based on the fact that life history traits influence substitution rates. Here we challenge these new approaches in the Cetartiodactyla, a clade of large mammals which, according to paleontology, derive from small ancestors. Analysing transcriptome data in 41 species, of which 22 were newly sequenced, we provide a dated phylogeny of the Cetartiodactyla and report a significant effect of body mass on the overall substitution rate, the synonymous vs. non-synonymous substitution rate and the dynamics of GC-content. Our molecular comparative analysis points toward relatively small Cetartiodactyla ancestors, in agreement with the fossil record, even though our data set almost exclusively consists of large species. This analysis demonstrates the potential of phylogenomic methods for ancestral trait reconstruction and gives credit to recent suggestions that the ancestor to placental mammals was a relatively large and long-lived animal.

evolutionary biology↗