Biology subjects

Duret, L.

Publications and source records attributed to Duret, L..

6 recordsLinked to original sources

bioRxiv2018

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↗

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

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↗

bioRxiv2017

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↗

bioRxiv2017

The fitness cost of mis-splicing is the main determinant of alternative splicing patterns

Most eukaryotic genes are subject to alternative splicing (AS), which may contribute to the production of functional protein variants or to the regulation of gene expression, notably via nonsense-mediated mRNA decay (NMD). However, a fraction of splice variants might correspond to spurious transcripts, and the question of the relative proportion of splicing errors vs. functional splice variants remains highly debated. We propose here a test to quantify the fraction of AS events corresponding to errors. This test is based on the fact that the fitness cost of splicing errors increases with the number of introns in a gene and with expression level. We first analyzed the transcriptome of the intron-rich unicellular eukaryote Paramecium tetraurelia. We show that both in normal and in NMD-deficient cells, AS rates (intron retention, alternative splice site usage or cryptic intron splicing) strongly decrease with increasing expression level and with increasing number of introns. This relationship is observed both for AS events that are detectable by NMD or not, which invalidates the hypothesis of a possible link with the regulation of gene expression. Our results indicate that in genes with a median expression level, 92%-98% of observed splice variants correspond to errors. Interestingly, we observed the same patterns in human transcriptomes. These results are consistent with the mutation-selection-drift theory, which predicts that genes under weaker selective pressure should accumulate more maladaptive substitutions, and therefore should be more prone to errors of gene expression.

genomics↗

bioRxiv2016

Biased gene conversion drives codon usage in human and precludes selection on translation efficiency

In humans, as in other mammals, synonymous codon usage (SCU) varies widely among genes. In particular, genes involved in cell differentiation or in proliferation display a distinct codon usage, suggesting that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. However, in mammals, SCU is known to correlate with large-scale fluctuations of GC-content along chromosomes, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). To disentangle and to quantify the different factors driving SCU in humans, we analyzed the relationships between functional categories, base composition, recombination, and gene expression. We first demonstrate that SCU is predominantly driven by large-scale variation in GC-content and is not linked to constraints on tRNA abundance, which excludes an effect of translational selection. In agreement with the gBGC model, we show that differences in SCU among functional categories are explained by variation in intragenic recombination rate, which, in turn, is strongly negatively correlated to gene expression levels during meiosis. Our results indicate that variation in SCU among functional categories (including variation associated to differentiation or proliferation)- result from differences in levels of meiotic transcription, which interferes with the formation of crossovers and thereby affects gBGC intensity within genes. Overall, the gBGC model explains 81.3% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.

evolutionary biology↗