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PubMed1977

Estimation of mutation rate from rare protein variants.

A method for estimating the mutation rate for protein loci from the number of rare alleles in the population is presented. It seems to have a number of advantages compared with Kimura and Ohta's method. Applying this method to Neel's data from American Indians in South America and to Nozawa's data from Japanese macaques, the mutation rate for electrophoretically detectable alleles is estimated to be (2 approximately 3) x 10(-6) per locus per generation. This estimate may not include many severely or substantially deleterious mutations.

Alleles↗

PubMed1976

Evolution of experimental "mutator" populations of Drosophila melanogaster.

The theory of evolution predicts that the rate of adaptation of a population is a function of the amount of genetic variation present in the population. This has been experimentally demonstrated in Drosophila populations in which genetic variability was increased either by mass hybridization of two gene pools, or by X-irradiation.--Mutator genes increase the spontaneous mutation rates of their carriers. We have now studied the effects of a third-chromosome mutator gene, mt, on the rate of adaptation of laboratory populations. Initially, experimental and control populations had similar genetic constitutions except for the presence of absence of the mt gene. The populations were maintained for 20-25 generations by "serial transfer" under conditions of very intense selection.--The number of flies produced per unit time remained constant throughout the experiment in the experimental as well as in the control populations. However, in the mutator-carring populations the average longevity of the flies (and consequently the average population size) gradually decreased. Under the experimental conditions natural selection is unable to counteract completely the increased input of deleterious mutations due to the mt gene.

Animals↗

PubMed2026

Mutation accumulation in a hybrid parthenogenetic vertebrate.

Asexual lineages are thought to experience elevated extinction rates compared with sexual species, yet direct evidence for the underlying genetic causes remains scarce. Muller's ratchet predicts that the absence of recombination in asexual organisms facilitates the accumulation of deleterious mutations, thereby reducing long-term fitness. Here, we test this hypothesis in the hybrid-origin, parthenogenetic whiptail lizard Aspidoscelis tesselatus by integrating short-read RNAseq and long-read IsoSeq data from both the asexual lineage and its parental sexual species. We reconstructed phased transcripts for A. tesselatus to quantify mutation accumulation relative to the parental sexual species. Comparative analyses revealed elevated ω ratios in both parental genomic complements (subgenomes) of the parthenogenetic lineage, consistent with accelerated accumulation of nonsynonymous mutations. Structural variant analyses identified multiple indels in expressed transcripts predicted to disrupt protein domains. Functional annotation indicated that genes affected by both single-nucleotide variants and indels were enriched for roles in chromatin organization, apoptosis regulation, and transcriptional control. While both parental subgenomes showed similar evolutionary patterns, the maternal complement exhibited more structural and missense mutations than the paternal complement. Together, these results provide evidence that mutations accumulate in asexual A. tesselatus in genes involved in core cellular functions, supporting theoretical predictions that Muller's ratchet contributes to mutation accumulation in asexual lineages.

Animals↗

PubMed2025

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 favors 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 analyzed 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, characterized by a clustering of synonymous AT to GC substitutions and by an increasing rate of nonsynonymous AT to GC substitutions, many of which are potentially deleterious. Analyzing 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 1 subset of beneficial mutations, alongside mutations resulting from oscillations around the fitness optimum.

Gene Conversion↗

PubMed2003

How clonal is Staphylococcus aureus?

Staphylococcus aureus is an important human pathogen and represents a growing public health burden owing to the emergence and spread of antibiotic-resistant clones, particularly within the hospital environment. Despite this, basic questions about the evolution and population biology of the species, particularly with regard to the extent and impact of homologous recombination, remain unanswered. We address these issues through an analysis of sequence data obtained from the characterization by multilocus sequence typing (MLST) of 334 isolates of S. aureus, recovered from a well-defined population, over a limited time span. We find no significant differences in the distribution of multilocus genotypes between strains isolated from carriers and those from patients with invasive disease; there is, therefore, no evidence from MLST data, which index variation within the stable "core" genome, for the existence of hypervirulent clones of this pathogen. Examination of the sequence changes at MLST loci during clonal diversification shows that point mutations give rise to new alleles at least 15-fold more frequently than does recombination. This contrasts with the naturally transformable species Neisseria meningitidis and Streptococcus pneumoniae, in which alleles change between 5- and 10-fold more frequently by recombination than by mutation. However, phylogenetic analysis suggests that homologous recombination does contribute toward the evolution of this species over the long term. Finally, we note a striking excess of nonsynonymous substitutions in comparisons between isolates belonging to the same clonal complex compared to isolates belonging to different clonal complexes, suggesting that the removal of deleterious mutations by purifying selection may be relatively slow.

Alleles↗

PubMed2025

Sexual selection, genomic evolution and population fitness in Drosophila pseudoobscura.

Sexual selection shapes the genome in unique ways. It is also likely to have significant fitness consequences, such as purging deleterious mutations from the genome or conversely maintaining genetic load in a population via sexual conflict. Here, we examined what the influence of sexual selection has on genomic variation potentially underlying population fitness using experimentally evolved Drosophila pseudoobscura populations. Sexual selection was manipulated by keeping replicate lines in elevated polyandry or strict monogamy for approximately 200 generations followed by individual-based sequencing. Using pi (π), fixation index (Fst)and recombination rate measures, we confirmed signatures of selection were not dispersed but mainly localized to the third and X chromosome. Overall mutational load was similar between lines but our analysis of the distribution of fitness effects revealed considerable variation between lines and chromosomes. Furthermore, we found that the distribution of transposable elements differs between the lines, with a higher load in monogamous lines. Our results suggest that complex interactions between purifying selection and sexual conflict are shaping the genome, particularly on chromosome 3 and the sex chromosome; sexual selection influences divergence across chromosomes but in a more complex way than proposed by simple 'purging' of deleterious loci.

Animals↗

PubMed1975

Mutator factors and genetic variance components of viability in Drosophila melanogaster.

In the process of testing whether or not the independent-locus selection model holds true with previously estimated genetic parameters (cf. MUKAI and MARUYAMA 1971) in D. melanogaster collected near Raleigh, North Carolina, we found an abnormal phenomenon: an unusually large increase in dominance variance for viability in comparison with additive variance with the accumulation of mutations on 140 randomyl sampled, inversion-free second chromosomes. Mutations were accumulated only through males heterozygous for the Pm-carrying chromosome [In(2LR)bwV1] and the extracted second chromosomes, and the genetic variance components were estimated by using a partial diallel cross method.--Further investigations clarified that chromosome abberations occurred at a frequency of 0.0114 per second chromosome per generation (inversions: 0.0098; transpositions: 0.0011; translocation: 0.0004), and recessive lethal mutations occurred at an average rate of 0.031 per second chromosome per generation.--From these results and from the amount of change in the homozygous load, it was speculated that about 60--70% of the second chromosomes used had a kind of mutator which induced chromosome and/or chromatid breaks at a minimum rate of 0.18 per second chromosome per generation. These breaks resulted in recessive lethal mutations at a rate more than ten times higher than the normal rate. Also these breaks were most probably the cause of male recombination.--The above unusual increase in dominance variance can be explained by assuming that chromosome segments, introduced into the extracted "wild" chromosomes by male recombinations (double crossover) from the marker chromosomes [In(2LR)bwV1], showed heterosis and linkage disequilibria with deleterious mutations and possibly with other introduced segments.--Finally, the nature and possible significance of mutator factors are discussed.

Animals↗

PubMed2025

A model for background selection in non-equilibrium populations.

In many taxa, levels of genetic diversity are observed to vary along their genome. The framework of background selection models this variation in terms of linkage to constrained sites, and recent applications have been able to explain a large portion of the variation in human genomes. However, these studies have also yielded conflicting results, stemming from two key limitations. First, existing models are inaccurate in a critical region of parameter space (), where the local reduction in diversity is sharpest. Second, they assume a constant population size over time. Here, we develop predictions for diversity under background selection based on the Hill-Robertson system of two-locus statistics, which allows for population size changes. We treat the joint effect of multiple selected loci independently, but we show that interference among them is well captured through local rescaling of mutation, recombination and selection in an iterative procedure that converges quickly. We further accommodate existing background selection theory to non-equilibrium demography, bridging the gap between weak and strong selection. Simulations show that our predictions are accurate across the entire range of selection coefficients. We characterize the temporal dynamics of linked selection under population size changes and demonstrate that patterns of diversity can be misinterpreted by other models. Specifically, biases due to the incorrect assumption of equilibrium carry over to downstream inferences of the distribution of fitness effects and deleterious mutation rate. Jointly modeling demography and linked selection therefore improves our understanding of the genomic landscape of diversity, which will help refine inferences of linked selection in humans and other species.

Journal Article↗

PubMed1976

Simulation studies on the evolution of amino acid sequences.

A model of molecular evolution in which the parameter (intrinsic rate of amino acid substitution) fluctuates from time to time was investigated by simulating the process. It was found that the usual method of estimation such as Poisson fitting underestimates this variation of the parameter when remote comparisons are made. At the same time, four distance measures (minimun base difference, Poisson fitting, random nucleotide substitutions and negative binomial fitting) were tested for their accuracy. When the substitution rate is not uniform among the amino acid sites, the negative bionomial fitting gives most satisfactory results, however, one needs to know the parameter beforehand in order to use this method. It was pointed out that the fluctuation of the evolutionary rate is expected if the nearly neutral but very slightly deleterious mutations play an important role on molecular evolution.

Amino Acid Sequence↗

PubMed2026

Escape and survival: transposon adaptations in the face of insect host silencing.

Transposable elements (TEs) are mobile genetic sequences that have long resided within host genomes. Over this shared history, a continuous process of co-evolution has forged a diverse array of dynamic TE-host interactions. In an evolutionary arms race, hosts must silence TEs to protect genome integrity from deleterious mutations by TE insertions, while TEs must evade this silencing to survive. TE adaptations to host genomes have recently gained prominence, following many discoveries in eukaryotic genomes. Here, I discuss TE strategies to evade host silencing and ensure their long-term persistence within host genomes, focusing on insects as the primary model system. Furthermore, by describing host silencing, I postulate potential evasive mechanisms that may drive TE adaptation within host genomes.

Journal Article↗

PubMed2026

Genomic consequences of admixture in an experimentally founded sand lizard population.

Conservation interventions are increasingly required for species threatened by population declines and isolation due to anthropogenic pressures. Small, isolated populations are particularly vulnerable to the loss of genetic diversity, increased inbreeding, and the accumulation of deleterious mutations. Translocations or supplementation of allopatric individuals for genetic rescue may be the only way to increase genetic diversity and increase population persistence via increased adaptive potential. Here, we use an experimentally admixed population of sand lizards on a small island in Sweden as a valuable model of genetic rescue. This population was established approximately 20 years ago (5-6 generations), resulting in increased fecundity and hatchling viability. This population was founded from crossings between individuals from an inbred population from the nearby mainland and individuals sourced from populations in southern Sweden. Low-coverage whole-genome sequencing revealed elevated genetic diversity and reduced realized genetic load in this admixed population relative to the source populations. Ancestry analyses indicated a greater contribution of southern Swedish genetic variation, potentially reflecting the contribution of beneficial adaptive variation from this region that may underlie the positive population effects. This system provides valuable empirical insights into the long-term genomic consequences of genetic rescue in this model vertebrate population.

Journal Article↗

PubMed2026

Translating functional molecular knowledge into crop-breeding success.

Historical plant breeding, which optimizes phenotypes through selective crossing guided by phenotypic evaluation and molecular markers, is limited by evolutionary constraints that hinder rapid crop improvement. A new paradigm, precision breeding, circumvents these limitations by targeting genetic variants through functional molecular knowledge. To generate this knowledge at scale, sequence-based deep learning leverages high-quality genome sequence data to predict variant effects at base-pair resolution. When linked to agronomically important traits, these predictions enable breeders to prioritize variants for precision selection or editing. Although it is still in the early stages of development, we foresee three key applications for this approach: introgressing genes from distant breeding pools, purging deleterious mutations and designing new plant ideotypes. Looking ahead, refined computational models will facilitate targeted editing and the systematic redesign of complex physiological processes to address emerging breeding goals under shifting environmental conditions.

Crops, Agricultural↗

PubMed2026

Characterizing the ecological niche of insertion sequences within prokaryotic genomes.

Insertion sequences (ISs) are widespread prokaryotic transposable elements, often regarded as genomic parasites that primarily cause deleterious mutations. However, they can also promote adaptive changes. These antagonistic properties make their overall impact on prokaryotic evolution difficult to grasp. Here, we address this challenge by leveraging the framework of transposon ecology to analyze IS occurrences across and within 30 499 prokaryotic genomes. Combining phylogenomics with multi-scale genomic analysis, quantitative ecology, and mathematical modeling, we provide evidence that although genomes generally provide sufficient resources for IS coexistence, universal mechanisms shape their occurrence and chromosomal distribution across genomes. These include (i) the preferential localization of ISs within highly variable and GC-heterogeneous chromosomal regions of genomic plasticity, which act as the primary reservoir of IS niches; (ii) a linear scaling between IS abundance and niche size, with an average of $5.4$ additional accessible insertion sites per IS; (iii) a dependence of IS occurrence on the presence of other ISs, suggesting a form of group behavior; (iv) the accumulation of AT-rich sequences in both coding and noncoding regions up to 100 kb around ISs, indicative of ecological isolation; and (v) the spatial partitioning of mobile genetic elements around ISs, reminiscent of ecological niche differentiation. Besides these general principles, we also uncover niche specificities associated with particular IS families, hinting at regulatory mechanisms that modulate IS activity. Altogether, this comprehensive transposon ecology approach offers new insights and avenues for understanding IS-host interactions and genome evolution, moving beyond traditional host-centric perspectives.

DNA Transposable Elements↗

PubMed2026

Genomic erosion in the assessment of species' extinction risk and recovery potential.

Many species are undergoing rapid population declines and environmental deterioration, leading to genomic erosion. Here we define genomic erosion as the loss of genetic diversity, accumulation of deleterious mutations, maladaptation, and introgression, all of which can undermine individual fitness and long-term population viability. Critically, this process continues even after demographic recovery due to a time-lagged impact of genetic drift, which is known as drift debt. Current conservation assessments, such as the International Union for Conservation of Nature Red List, focus on short-term extinction risk and do not capture the long-term consequences of genomic erosion. Likewise, the longer-term assessments of the International Union for Conservation of Nature Green Status may overestimate population recovery by failing to account for the enduring effects of genomic erosion. As genome sequencing becomes increasingly accessible, there is a growing opportunity to quantify genomic erosion and integrate it into conservation planning. Here, we use genomic simulations to illustrate how different genomic metrics are sensitive to the drift debt. We test how ancestral effective population size (Ne) and bottleneck history influence the tempo and severity of genomic erosion. Furthermore, we demonstrate how these dynamics shape genetic load and additive genetic variation, which are key indicators of long-term evolutionary potential. Finally, we present a proof-of-concept for a Genomic Green Status framework that aligns genomic metrics with conservation impact assessments, laying the foundation for genomics-informed strategies to support species recovery.

Extinction, Biological↗

PubMed2025

The metabolic costs of meiotic drive.

Selfish genetic elements, such as meiotic drive genes, disrupt Mendel's law of equal segregation by biasing their own transmission, often at a detriment to the rest of the genome. Metabolic costs of the X-linked sex ratio (SR) meiotic drive were investigated in stalk-eyed flies (Teleopsis dalmanni). The experiments demonstrate that individuals with SR have reduced capacity for ATP synthesis. The disruption in mitochondrial function leads to compensation exhibited in increased basal metabolic rate and greater food consumption across a range of diets. The range of metabolic costs of drive was evident in males and females at a similar magnitude. The likely cause lies in the accumulation of deleterious mutations within the series of large inversions on the drive X chromosome, subject to low recombination and weak natural selection. In females, the drive chromosome had a dominant effect, with a single copy causing substantial metabolic compromise. There was little evidence of male-specific metabolic costs, nor evidence of greater effects of drive chromosomes on female metabolism. This suggests that direct metabolic costs from meiotic drive on spermatogenesis and from sexually antagonistic selection are relatively weak. Our results underscore the broad physiological impacts that selfish genetic elements have on host metabolism and fitness.

Animals↗

PubMed2025

Common gardens reveal genomic susceptibility and vulnerability to climate change in Eucalyptus.

Accelerated global climate change and increased species introduction across international scales have raised concerns about the potential for trees to experience maladaptation or lagging adaptation in response to these environmental shifts. However, our knowledge regarding the relationship between the genomic metrics used to predict maladaptation and actual fitness proxies in trees remains limited. Here, we present a population genomic analysis of 295 families from 28 provenances of Eucalyptus pellita, a widely cultivated fast-growing tree species, and conducted two common garden experiments. Genomic susceptibility encompassing individual heterozygosity (H), genomic inbreeding (FROH), and genomic load (inferred from deleterious mutations) exhibited distinct geographic patterns, shedding light on the origin and evolutionary history of E. pellita. The genetic basis of local adaptation was elucidated through genotype-environment associations and genome-wide association studies, including 198 loci associated with climate and 2388 loci regulating different traits. Furthermore, Australian provenances have higher genomic vulnerability under prospective climate alterations than Papua New Guinea and Indonesia provenances. By integrating phenotypic data across two common gardens, the relationship between leaf functional traits and predicted metrics of maladaptation was closer than growth attributes. Notably, pronounced natural selection signals linked to leaf morphogenesis have been identified by comparing two lineages spanning the oceans. This study underscores the immense potential of leveraging genomic susceptibility and genomic vulnerability to decipher the local (mal)adaptation of forest trees.

Eucalyptus↗

PubMed2025

Genome sequencing and population genomics provide insights into the demographic history, genetic load, and local adaptation of an endangered Tertiary relict.

Endangered Tertiary relict trees represent an exceptional evolutionary heritage with small and isolated populations, yet little is known about how demographic history, local adaptation, and genetic load have affected their long-term survival and extinction risk. We performed whole-genome sequencing and population genomic analyses on Ulmus elongata L. K. Fu & C. S. Ding, an endangered Tertiary relict tree endemic to East Asia. By integrating genomes from U. elongata and seven other endangered trees from public databases, we identified rate-decelerated genes across endangered trees and genes under positive selection of U. elongata associated with tissue development, detoxification, and immune response, and signal transduction and regulation mechanisms potentially leading to endangered status. Demographic analyses revealed continuous population decline from the late Miocene to present, especially during the last glacial maximum (LGM) and last 10 000 years. Spearman correlation indicated a strong negative relationship between effective population size and human population density (rpopulation density = -0.90, P < 0.001) as well as cropland use (rcropland use = -0.89, P < 0.001). Genotype-environment association (GEA) analyses identified a set of candidate genes associated with temperature and precipitation, supporting a polygenic adaptation model in U. elongata. Overall, our findings underscore the severe population bottlenecks that have led to the fixation of strongly deleterious mutations and inbreeding, further compromising the adaptive potential and long-term viability of U. elongata. Furthermore, assessments of genomic vulnerability under future climate scenarios revealed higher genetic offsets in northern region of Fujian and Jiangxi populations, suggesting these regions require prioritized conservation efforts due to reduced adaptive capacity.

Endangered Species↗

PubMed2025

Expansion of the functional genomics GRACE library reveals genes relevant for temperature-dependent fitness in Candida albicans.

A small percentage of species in the fungal kingdom can cause devastating infections in humans, with Candida albicans reigning as a leading cause of systemic disease. One of the key virulence phenotypes for pathogenic fungi is the ability to survive at host body temperature; however, a comprehensive understanding of the mechanisms that orchestrate thermal adaptation in fungi remains incomplete. In this study, we expand the largest functional genomics resource in C. albicans, reaching 71.3% coverage of the entire genome, and perform screens under six different temperatures to identify genes important for temperature-dependent fitness. We describe the function of genes involved in translation (GAR1), splicing (C1_11680C or YSF3), and cell cycle progression (C6_00110C or RHT1) in enabling fungal survival at both low and high temperatures. Through experimental evolution, we also show that C. albicans can rapidly overcome deleterious mutations and adapt to extreme temperature environments. Overall, our study highlights the transformative potential of genome-wide functional genomics to uncover critical vulnerabilities in pathogenic fungi.

Genomics↗