scholarly journals Transition from background selection to associative overdominance promotes diversity in regions of low recombination

2019 ◽  
Author(s):  
Kimberly J. Gilbert ◽  
Fanny Pouyet ◽  
Laurent Excoffier ◽  
Stephan Peischl
Keyword(s):  
Genetic Diversity ◽  
Balancing Selection ◽  
Purifying Selection ◽  
Heterozygote Advantage ◽  
Background Selection ◽  
Deleterious Mutations ◽  
Recombination Rates ◽  
Locus Model ◽  
Genome Wide ◽  
Linked Selection

SummaryLinked selection is a major driver of genetic diversity. Selection against deleterious mutations removes linked neutral diversity (background selection, BGS, Charlesworth et al. 1993), creating a positive correlation between recombination rates and genetic diversity. Purifying selection against recessive variants, however, can also lead to associative overdominance (AOD, Ohta 1971, Zhao & Charlesworth, 2016), due to an apparent heterozygote advantage at linked neutral loci that opposes the loss of neutral diversity by BGS. Zhao & Charlesworth (2016) identified the conditions when AOD should dominate over BGS in a single-locus model and suggested that the effect of AOD could become stronger if multiple linked deleterious variants co-segregate. We present a model describing how and under which conditions multi-locus dynamics can amplify the effects of AOD. We derive the conditions for a transition from BGS to AOD due to pseudo-overdominance (Ohta & Kimura 1970), i.e. a form of balancing selection that maintains complementary deleterious haplotypes that mask the effect of recessive deleterious mutations. Simulations confirm these findings and show that multi-locus AOD can increase diversity in low recombination regions much more strongly than previously appreciated. While BGS is known to drive genome-wide diversity in humans (Pouyet et al. 2018), the observation of a resurgence of genetic diversity in regions of very low recombination is indicative of AOD. We identify 21 such regions in the human genome showing clear signals of multi-locus AOD. Our results demonstrate that AOD may play an important role in the evolution of low recombination regions of many species.

scholarly journals Heterogeneity in effective size across the genome: effects on the Inverse Instantaneous Coalescence Rate (IICR) and implications for demographic inference under linked selection.

2021 ◽  
Author(s):  
Simon Boitard ◽  
Armando Arredondo ◽  
Camille Noûs ◽  
Lounes Chikhi ◽  
Olivier Mazet
Keyword(s):  
Genetic Diversity ◽  
Balancing Selection ◽  
Effective Population ◽  
Recombination Rates ◽  
Genome Wide ◽  
Coalescence Rate ◽  
Demographic Inference ◽  
The Impact ◽  
Linked Selection ◽  
Coalescence Times

The relative contribution of selection and neutrality in shaping species genetic diversity is one of the most central and controversial questions in evolutionary theory. Genomic data provide growing evidence that linked selection, i.e. the modification of genetic diversity at neutral sites through linkage with selected sites, might be pervasive over the genome. Several studies proposed that linked selection could be modelled as first approximation by a local reduction (e.g. purifying selection, selective sweeps) or increase (e.g. balancing selection) of effective population size (Ne). At the genome-wide scale, this leads to a large variance of Ne from one region to another, reflecting the heterogeneity of selective constraints and recombination rates between regions. We investigate here the consequences of this variation of Ne on the genome-wide distribution of coalescence times. The underlying motivation concerns the impact of linked selection on demographic inference, because the distribution of coalescence times is at the heart of several important demographic inference approaches. Using the concept of Inverse Instantaneous Coalescence Rate, we demonstrate that in a panmictic population, linked selection always results in a spurious apparent decrease of Ne along time. Balancing selection has a particularly large effect, even when it concerns a very small part of the genome. We quantify the expected magnitude of the spurious decrease of Ne in humans and Drosophila melanogaster, based on Ne distributions inferred from real data in these species. We also find that the effect of linked selection can be significantly reduced by that of population structure.

scholarly journals Broad-scale variation in human genetic diversity levels is predicted by purifying selection on coding and non-coding elements

2021 ◽  
Author(s):  
David Murphy ◽  
Eyal Elyashiv ◽  
Guy Amster ◽  
Guy Sella
Keyword(s):  
Genetic Diversity ◽  
Purifying Selection ◽  
Dominant Mode ◽  
Background Selection ◽  
Selective Sweeps ◽  
Deleterious Mutations ◽  
Phylogenetic Conservation ◽  
Neutral Genetic Diversity ◽  
Polymorphism Data ◽  
Linked Selection

Analyses of genetic variation in many taxa have established that neutral genetic diversity is shaped by natural selection at linked sites. Whether the source of selection is primarily the fixation of strongly beneficial alleles (selective sweeps) or purifying selection on deleterious mutations (background selection) remains unknown, however. We address this question in humans by fitting a model of the joint effects of selective sweeps and background selection to autosomal polymorphism data from the 1000 Genomes Project. After controlling for variation in mutation rates along the genome, a model of background selection alone explains ~60% of the variance in diversity levels at the megabase scale. Adding the effects of selective sweeps driven by adaptive substitutions to the model does not improve the fit, and when both modes of selection are considered jointly, selective sweeps are estimated to have had little or no effect on linked neutral diversity. The regions under purifying selection are best predicted by phylogenetic conservation, with ~80% of the deleterious mutations affecting neutral diversity occurring in non-exonic regions. Thus, background selection is the dominant mode of linked selection in humans, with marked effects on diversity levels throughout autosomes.

scholarly journals Supergene formation is associated with a major shift in genome-wide patterns of diversity in a butterfly

2021 ◽  
Author(s):  
María Ángeles Rodríguez de Cara ◽  
Paul Jay ◽  
Mathieu Chouteau ◽  
Annabel Whibley ◽  
Barbara Huber ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Balancing Selection ◽  
Mate Preferences ◽  
Heterozygote Advantage ◽  
Effective Population ◽  
Adaptive Introgression ◽  
Continental Scale ◽  
Geographic Structure ◽  
Genome Wide ◽  
Genetic Diversity And Structure

AbstractSelection shapes genetic diversity around target mutations, yet little is known about how selection on specific loci affects the genetic trajectories of populations, including their genome-wide patterns of diversity and demographic responses. Adaptive introgression provides a way to assess how adaptive evolution at one locus impacts whole-genome biology. Here we study the patterns of genetic variation and geographic structure in a neotropical butterfly, Heliconius numata, and its closely related allies in the so-called melpomene-silvaniform subclade. H. numata is known to have evolved a supergene via the introgression of an adaptive inversion about 2.2 million years ago, triggering a polymorphism maintained by balancing selection. This locus controls variation in wing patterns involved in mimicry associations with distinct groups of co-mimics, and butterflies show disassortative mate preferences and heterozygote advantage at this locus. We contrasted patterns of genetic diversity and structure 1) among extant polymorphic and monomorphic populations of H. numata, 2) between H. numata and its close relatives, and 3) between ancestral lineages in a phylogenetic framework. We show that H. numata populations which carry the introgressed inversions in a balanced polymorphism show markedly distinct patterns of diversity compared to all other taxa. They show the highest diversity and demographic estimates in the entire clade, as well as a remarkably low level of geographic structure and isolation by distance across the entire Amazon basin. By contrast, monomorphic populations of H. numata as well as its sister species and their ancestral lineages all show the lowest effective population sizes and genetic diversity in the clade, and higher levels of geographical structure across the continent. This suggests that the large effective population size of polymorphic populations could be a property associated with harbouring the supergene. Our results are consistent with the hypothesis that the adaptive introgression of the inversion triggered a shift from directional to balancing selection and a change in gene flow due to disassortative mating, causing a general increase in genetic diversity and the homogenisation of genomes at the continental scale.

scholarly journals The effect of strong purifying selection on genetic diversity

2017 ◽  
Author(s):  
Ivana Cvijović ◽  
Benjamin H. Good ◽  
Michael M. Desai
Keyword(s):  
Genetic Diversity ◽  
Frequency Spectrum ◽  
Purifying Selection ◽  
Genomic Diversity ◽  
Small Samples ◽  
Direct Selection ◽  
Background Selection ◽  
Deleterious Mutations ◽  
Site Frequency Spectrum ◽  
Neutral Mutations

Purifying selection reduces genetic diversity, both at sites under direct selection and at linked neutral sites. This process, known as background selection, is thought to play an important role in shaping genomic diversity in natural populations. Yet despite its importance, the effects of background selection are not fully understood. Previous theoretical analyses of this process have taken a backwards-time approach based on the structured coalescent. While they provide some insight, these methods are either limited to very small samples or are computationally prohibitive. Here, we present a new forward-time analysis of the trajectories of both neutral and deleterious mutations at a nonrecombining locus. We find that strong purifying selection leads to remarkably rich dynamics: neutral mutations can exhibit sweep-like behavior, and deleterious mutations can reach substantial frequencies even when they are guaranteed to eventually go extinct. Our analysis of these dynamics allows us to calculate analytical expressions for the full site frequency spectrum. We find that whenever background selection is strong enough to lead to a reduction in genetic diversity, it also results in substantial distortions to the site frequency spectrum, which can mimic the effects of population expansions or positive selection. Because these distortions are most pronounced in the low and high frequency ends of the spectrum, they become particularly important in larger samples, but may have small effects in smaller samples. We also apply our forward-time framework to calculate other quantities, such as the ultimate fates of polymorphisms or the fitnesses of their ancestral backgrounds.

scholarly journals Background selection as baseline for nucleotide variation across the Drosophila genome

2014 ◽  
Author(s):  
Josep M Comeron
Keyword(s):  
Balancing Selection ◽  
Genetic Maps ◽  
Drosophila Genome ◽  
Background Selection ◽  
Deleterious Mutations ◽  
Entire Genome ◽  
Genome Wide ◽  
Intergenic Regions ◽  
Selection Parameters ◽  
Genomic Regions

The constant removal of deleterious mutations by natural selection causes a reduction in neutral diversity and efficacy of selection at genetically linked sites (a process called Background Selection, BGS). Population genetic studies, however, often ignore BGS effects when investigating demographic events or the presence of other types of selection. To obtain a more realistic evolutionary expectation that incorporates the unavoidable consequences of deleterious mutations, we generated high-resolution landscapes of variation across the Drosophila melanogaster genome under a BGS scenario independent of polymorphism data. We find that BGS plays a significant role in shaping levels of variation across the entire genome, including long introns and intergenic regions distant from annotated genes. We also find that a very large percentage of the observed variation in diversity across autosomes can be explained by BGS alone, up to 70% across individual chromosome arms, thus indicating that BGS predictions can be used as baseline to infer additional types of selection and demographic events. This approach allows detecting several outlier regions with signal of recent adaptive events and selective sweeps. The use of a BGS baseline, however, is particularly appropriate to investigate the presence of balancing selection and our study exposes numerous genomic regions with the predicted signature of higher polymorphism than expected when a BGS context is taken into account. Importantly, we show that these conclusions are robust to the mutation and selection parameters of the BGS model. Finally, analyses of protein evolution together with previous comparisons of genetic maps between Drosophila species, suggest temporally variable recombination landscapes and thus, local BGS effects that may differ between extant and past phases. Because genome-wide BGS and temporal changes in linkage effects can skew approaches to estimate demographic and selective events, future analyses should incorporate BGS predictions and capture local recombination variation across genomes and along lineages.

scholarly journals Background selection under evolving recombination rates

2021 ◽  
Author(s):  
Tom R Booker ◽  
Bret A Payseur ◽  
Anna Tigano
Keyword(s):  
Recombination Rate ◽  
Purifying Selection ◽  
Background Selection ◽  
Effective Population ◽  
Recombination Rates ◽  
Fitness Effects ◽  
Deleterious Alleles ◽  
Genome Wide ◽  
Modern House ◽  
Eukaryotic Genomes

Background selection (BGS), the effect that purifying selection exerts on sites linked to deleterious alleles, is expected to be ubiquitous across eukaryotic genomes. The effects of BGS reflect the interplay of the rates and fitness effects of deleterious mutations with recombination. A fundamental assumption of BGS models is that recombination rates are invariant over time. However, in some lineages recombination rates evolve rapidly, violating this central assumption. Here, we investigate how recombination rate evolution affects genetic variation under BGS. We show that recombination rate evolution modifies the effects of BGS in a manner similar to a localised change in the effective population size, potentially leading to an underestimation of the genome-wide effects of selection. Furthermore, we find evidence that recombination rate evolution in the ancestors of modern house mice may have impacted inferences of the genome-wide effects of selection in that species.

Regions of Lower Crossing Over Harbor More Rare Variants in African Populations ofDrosophila melanogaster

Genetics ◽  
2001 ◽  
Vol 158 (2) ◽  
pp. 657-665 ◽  
Author(s):  
Peter Andolfatto ◽  
Molly Przeworski
Keyword(s):  
Frequency Spectrum ◽  
Nucleotide Diversity ◽  
Rare Variants ◽  
Purifying Selection ◽  
Crossing Over ◽  
Background Selection ◽  
Deleterious Mutations ◽  
African Populations ◽  
Rapid Fixation ◽  
Parameter Values

AbstractA correlation between diversity levels and rates of recombination is predicted both by models of positive selection, such as hitchhiking associated with the rapid fixation of advantageous mutations, and by models of purifying selection against strongly deleterious mutations (commonly referred to as “background selection”). With parameter values appropriate for Drosophila populations, only the first class of models predicts a marked skew in the frequency spectrum of linked neutral variants, relative to a neutral model. Here, we consider 29 loci scattered throughout the Drosophila melanogaster genome. We show that, in African populations, a summary of the frequency spectrum of polymorphic mutations is positively correlated with the meiotic rate of crossing over. This pattern is demonstrated to be unlikely under a model of background selection. Models of weakly deleterious selection are not expected to produce both the observed correlation and the extent to which nucleotide diversity is reduced in regions of low (but nonzero) recombination. Thus, of existing models, hitchhiking due to the recurrent fixation of advantageous variants is the most plausible explanation for the data.

scholarly journals Genomics of sorghum local adaptation to a parasitic plant

2020 ◽  
Vol 117 (8) ◽  
pp. 4243-4251 ◽  
Author(s):  
Emily S. Bellis ◽  
Elizabeth A. Kelly ◽  
Claire M. Lorts ◽  
Huirong Gao ◽  
Victoria L. DeLeo ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Local Adaptation ◽  
Species Interactions ◽  
Balancing Selection ◽  
Control Plant ◽  
Farming Systems ◽  
Striga Hermonthica ◽  
Loss Of Function ◽  
Trade Offs ◽  
Genome Wide

Host–parasite coevolution can maintain high levels of genetic diversity in traits involved in species interactions. In many systems, host traits exploited by parasites are constrained by use in other functions, leading to complex selective pressures across space and time. Here, we study genome-wide variation in the staple crop Sorghum bicolor (L.) Moench and its association with the parasitic weed Striga hermonthica (Delile) Benth., a major constraint to food security in Africa. We hypothesize that geographic selection mosaics across gradients of parasite occurrence maintain genetic diversity in sorghum landrace resistance. Suggesting a role in local adaptation to parasite pressure, multiple independent loss-of-function alleles at sorghum LOW GERMINATION STIMULANT 1 (LGS1) are broadly distributed among African landraces and geographically associated with S. hermonthica occurrence. However, low frequency of these alleles within S. hermonthica-prone regions and their absence elsewhere implicate potential trade-offs restricting their fixation. LGS1 is thought to cause resistance by changing stereochemistry of strigolactones, hormones that control plant architecture and below-ground signaling to mycorrhizae and are required to stimulate parasite germination. Consistent with trade-offs, we find signatures of balancing selection surrounding LGS1 and other candidates from analysis of genome-wide associations with parasite distribution. Experiments with CRISPR–Cas9-edited sorghum further indicate that the benefit of LGS1-mediated resistance strongly depends on parasite genotype and abiotic environment and comes at the cost of reduced photosystem gene expression. Our study demonstrates long-term maintenance of diversity in host resistance genes across smallholder agroecosystems, providing a valuable comparison to both industrial farming systems and natural communities.

scholarly journals The effect of background selection against deleterious mutations on weakly selected, linked variants

1994 ◽  
Vol 63 (3) ◽  
pp. 213-227 ◽  
Author(s):  
Brian Charlesworth
Keyword(s):  
Genetic Diversity ◽  
Molecular Evolution ◽  
Effective Size ◽  
Background Selection ◽  
Deleterious Mutations ◽  
Deleterious Alleles ◽  
Rates Of Evolution ◽  
Selection Approach ◽  
Slightly Deleterious Mutations ◽  
Neutral Case

SummaryThis paper analyses the effects of selection against deleterious alleles maintained by mutation (‘ background selection’) on rates of evolution and levels of genetic diversity at weakly selected, completely linked, loci. General formulae are derived for the expected rates of gene substitution and genetic diversity, relative to the neutral case, as a function of selection and dominance coefficients at the loci in question, and of the frequency of gametes that are free of deleterious mutations with respect to the loci responsible for background selection. As in the neutral case, most effects of background selection can be predicted by considering the effective size of the population to be multiplied by the frequency of mutation-free gametes. Levels of genetic diversity can be sharply reduced by background selection, with the result that values for sites under selection approach those for neutral variants subject to the same regime of background selection. Rates of fixation of slightly deleterious mutations are increased by background selection, and rates of fixation of advantageous mutations are reduced. The properties of sex-linked and autosomal asexual and self-fertilizing populations are considered. The implications of these results for the interpretation of studies of molecular evolution and variation are discussed.

scholarly journals Demography and mating system shape the genome-wide impact of purifying selection in Arabis alpina

2017 ◽  
Author(s):  
Benjamin Laenen ◽  
Andrew Tedder ◽  
Michael D. Nowak ◽  
Per Toräng ◽  
Jörg Wunder ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Mating System ◽  
Purifying Selection ◽  
Mixed Mating ◽  
Genome Wide ◽  
Outcrossing Rates ◽  
Arabis Alpina ◽  
Whole Genome Resequencing ◽  
Evolutionary Consequences ◽  
The Impact

Plant mating systems have profound effects on levels and structuring of genetic variation, and can affect the impact of natural selection. While theory predicts that intermediate outcrossing rates may allow plants to prevent accumulation of deleterious alleles, few studies have empirically tested this prediction using genomic data. Here, we study the effect of mating system on purifying selection by conducting population genomic analyses on whole-genome resequencing data from 38 European individuals of the arctic-alpine crucifer Arabis alpina. We find that outcrossing and mixed-mating populations maintain genetic diversity at similar levels, whereas highly self-fertilizing Scandinavian A. alpina show a strong reduction in genetic diversity, most likely as a result of a postglacial colonization bottleneck. We further find evidence for accumulation of genetic load in highly self-fertilizing populations, whereas the genome-wide impact of purifying selection does not differ greatly between mixed-mating and outcrossing populations. Our results demonstrate that intermediate levels of outcrossing may allow efficient selection against harmful alleles whereas demographic effects can be important for relaxed purifying selection in highly selfing populations. Thus, both mating system and demography shape the impact of purifying selection on genomic variation in A. alpina. These results are important for an improved understanding of the evolutionary consequences of mating system variation and the maintenance of mixed-mating strategies.SignificanceIntermediate outcrossing rates are theoretically predicted to maintain effective selection against harmful alleles, but few studies have empirically tested this prediction using genomic data. We used whole-genome resequencing data from alpine rock-cress to study how genetic variation and purifying selection vary with mating system. We find that populations with intermediate outcrossing rates have similar levels of genetic diversity as outcrossing populations, and that purifying selection against harmful alleles is efficient in mixed-mating populations. In contrast, self-fertilizing populations from Scandinavia have strongly reduced genetic diversity, and accumulate harmful mutations, likely as a result of demographic effects of postglacial colonization. Our results suggest that mixed-mating populations can avoid the negative evolutionary consequences of high self-fertilization rates.

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