scholarly journals Establishment and equilibrium levels of deleterious mutations in large populations

2018 ◽  
Author(s):  
Johan W. Viljoen ◽  
J. Pieter de Villiers ◽  
Augustus J. Van Zyl ◽  
Massimo Mezzavilla ◽  
Michael S. Pepper
Keyword(s):  
Cystic Fibrosis ◽  
Social Relationships ◽  
Sickle Cell ◽  
Computer Modelling ◽  
Large Population ◽  
Selective Advantage ◽  
Human Populations ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Community Size

AbstractAnalytical and statistical stochastic approaches are used to model and predict the dispersion of mutations through a large population. These approaches are used to quantify the magnitude of a heterozygous selective advantage of a mutation in the presence of a homozygous disadvantage. Random effects such as genetic drift are accounted for, which are likely to extinguish even highly advantageous mutations while the prevalence is still low. Dunbar’s results regarding the cognitive upper limit of the number of stable social relationships that humans can maintain are used to determine a realistic community size - a reduced local subset of the total population - from which an individual can select mates. This reduction in effective population size has a dramatic effect on the probability of establishing mutations, as well as the eventual equilibrium values that are reached in the case of mutations conferring a heterozygous selective advantage, but a homozygous disadvantage, as in the case of cystic fibrosis and sickle cell disease. The magnitude of this selective advantage can then be estimated based on observed occurrence levels of a specific mutation in a population, without requiring prior information regarding its phenotypic manifestation.Author summaryDeleterious mutations such as cystic fibrosis and sickle cell anemia can disperse through human populations due to the selective advantage that it bestows on heterozygous carriers, depending on environmental conditions. As its prevalence increases, the probability of generating homozygous offspring, with its concomitant selective disadvantage, also grows until an eventual equilibrium is reached between the number of carriers and wild-type individuals. In this work computer modelling is used to combine Dunbar’s anthropological observations predicting upper bounds to the number of stable human social relationships with observed prevalence levels, to estimate the absolute magnitude of the heterozygous selective advantage bestowed by such a deleterious genetic variation, without requiring knowledge regarding the specific mechanism whereby such an advantage is manifested.

scholarly journals Demographic history shaped geographical patterns of deleterious mutation load in a broadly distributed Pacific Salmon

2019 ◽  
Author(s):  
Quentin Rougemont ◽  
Jean-Sébastien Moore ◽  
Thibault Leroy ◽  
Eric Normandeau ◽  
Eric B. Rondeau ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Coho Salmon ◽  
Pacific Salmon ◽  
Demographic History ◽  
Glacial Refugium ◽  
Human Populations ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Geographical Patterns ◽  
Genome Wide Data

AbstractA thorough reconstruction of historical processes is essential for a comprehensive understanding the mechanisms shaping patterns of genetic diversity. Indeed, past and current conditions influencing effective population size have important evolutionary implications for the efficacy of selection, increased accumulation of deleterious mutations, and loss of adaptive potential. Here, we gather extensive genome-wide data that represent the extant diversity of the Coho salmon (Oncorhynchus kisutch) to address two objectives. We demonstrate that a single glacial refugium is the source of most of the present-day genetic diversity, with detectable inputs from a putative secondary micro-refugium. We found statistical support for a scenario whereby ancestral populations located south of the ice sheets expanded in postglacial time, swamping out most of the diversity from other putative micro-refugia. Demographic inferences revealed that genetic diversity was also affected by linked selection in large parts of the genome. Moreover, we demonstrate that the recent demographic history of this species generated regional differences in the load of deleterious mutations among populations, a finding that mirrors recent results from human populations and provides increased support for models of expansion load. We propose that insights from these historical inferences should be better integrated in conservation planning of wild organisms, which currently focuses largely on neutral genetic diversity and local adaptation, with the role of potentially maladaptive variation being generally ignored.

scholarly journals Linkage and the limits to natural selection.

Genetics ◽  
1995 ◽  
Vol 140 (2) ◽  
pp. 821-841 ◽  
Author(s):  
N H Barton
Keyword(s):  
Genetic Variance ◽  
Additive Genetic Variance ◽  
Large Population ◽  
Substantial Effect ◽  
Relative Fitness ◽  
Fixation Probability ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Probability Of Fixation ◽  
General Method

Abstract The probability of fixation of a favorable mutation is reduced if selection at other loci causes inherited variation in fitness. A general method for calculating the fixation probability of an allele that can find itself in a variety of genetic backgrounds is applied to find the effect of substitutions, fluctuating polymorphisms, and deleterious mutations in a large population. With loose linkage, r, the effects depend on the additive genetic variance in relative fitness, var(W), and act by reducing effective population size by (N/Ne) = 1 + var(W)/2r2. However, tightly linked loci can have a substantial effect not predictable from Ne. Linked deleterious mutations reduce the fixation probability of weakly favored alleles by exp (-2U/R), where U is the total mutation rate and R is the map length in Morgans. Substitutions can cause a greater reduction: an allele with advantage s < scrit = (pi 2/6) loge (S/s) [var(W)/R] is very unlikely to be fixed. (S is the advantage of the substitution impeding fixation.) Fluctuating polymorphisms at many (n) linked loci can also have a substantial effect, reducing fixation probability by exp [square root of 2Kn var(W)/R] [K = -1/E((u-u)2/uv) depending on the frequencies (u,v) at the selected polymorphisms]. Hitchhiking due to all three kinds of selection may substantially impede adaptation that depends on weakly favored alleles.

scholarly journals Genomics of experimental diversification of Pseudomonas aeruginosa in cystic fibrosis lung-like conditions

2020 ◽  
Author(s):  
Alana Schick ◽  
Rees Kassen
Keyword(s):  
Cystic Fibrosis ◽  
Pseudomonas Aeruginosa ◽  
Spatial Structure ◽  
De Novo ◽  
Large Population ◽  
Structured Populations ◽  
Driver Mutations ◽  
Effective Population ◽  
Synonymous Mutations ◽  
Stressful Environment

AbstractPseudomonas aeruginosa is among the most problematic opportunistic pathogens for adults with cystic fibrosis (CF), causing repeated and resilient infections in the lung and surrounding airways. Evidence suggests that long-term infections are associated with diversification into specialized types but the underlying cause of that diversification and the effect it has on the persistence of infections remains poorly understood. Here, we use evolve and resequence experiments to investigate the genetic changes accompanying rapid, de novo phenotypic diversification in lab environments designed to mimic two aspects of human lung ecology: spatial structure and complex nutritional content. After ∼220 generations of evolution, we find extensive genetic variation present in all environments, including those that most closely resemble the CF lung, attributable to a combination of high mutation supply rates resulting from large population sizes and the complex ecological conditions imposed by resource complexity and spatial structure. We use the abundance and frequency of nonsynonymous and synonymous mutations to estimate the ratio of mutations that are selectively neutral (hitchhikers) to those that are under selection (drivers). A significantly lower proportion of driver mutations in spatially structured populations suggests that reduced dispersal generates subpopulations with reduced effective population size, decreasing the supply of beneficial mutations and causing more divergent evolutionary trajectories. The genes most commonly mutated tend to impact regulatory functions linked to a range of CF-associated phenotypes, including one gene that confers antibiotic resistance despite the absence of antibiotic selection in our experiment, but do not appear to be specific to CF-like conditions arising from antimicrobial treatment, immune system suppression, or competition from other microbial species. Our results are consistent with models of adaptation that see the first mutations fixed during adaptation to a stressful environment being those that are broadly beneficial across a range of environments.

scholarly journals Patterns of genetic variability in genomic regions with low rates of recombination

2019 ◽  
Author(s):  
Hannes Becher ◽  
Benjamin C. Jackson ◽  
Brian Charlesworth
Keyword(s):  
Genetic Variability ◽  
Rare Variants ◽  
Genomic Region ◽  
Human Populations ◽  
Crossing Over ◽  
Deleterious Mutations ◽  
Effective Population ◽  
Genomic Studies ◽  
New Perspective ◽  
Genomic Regions

SUMMARYSurveys of DNA sequence variation have shown that the level of genetic variability in a genomic region is often strongly positively correlated with its rate of crossing over (CO) [1–3]. This pattern is caused by selection acting on linked sites, which reduces genetic variability and can also cause the frequency distribution of segregating variants to contain more rare variants than expected without selection (skew). These effects of selection may involve the spread of beneficial mutations (selective sweeps, SSWs), the elimination of deleterious mutations (background selection, BGS) or both together, and are expected to be stronger with lower rates of crossing over [1–3]. However, in a recent study of human populations, the skew was reduced in the lowest CO regions compared with regions with somewhat higher CO rates [4]. A similar pattern is seen in the population genomic studies of Drosophila simulans described here. We propose an explanation for this paradoxical observation, and validate it using computer simulations. This explanation is based on the finding that partially recessive, linked deleterious mutations can increase rather than reduce neutral variability when the product of the effective population size (Ne) and the selection coefficient against homozygous carriers of mutations (s) is ≤ 1, i.e. there is associative overdominance (AOD) rather than BGS [5]. We show that AOD can operate in a genomic region with a low rate of CO, opening up a new perspective on how selection affects patterns of variability at linked sites.

scholarly journals Harmful mutation load in the mitochondrial genomes of cattle breeds

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Sankar Subramanian
Keyword(s):  
Population Size ◽  
Artificial Selection ◽  
Deleterious Mutation ◽  
Genetic Diseases ◽  
Mitochondrial Genomes ◽  
Deleterious Mutations ◽  
Founder Population ◽  
Mutation Load ◽  
Effective Population ◽  
Cattle Breeds

Abstract Objective Domestication of wild animals results in a reduction in the effective population size, and this could affect the deleterious mutation load of domesticated breeds. Furthermore, artificial selection will also contribute to the accumulation of deleterious mutations due to the increased rate of inbreeding among these animals. The process of domestication, founder population size, and artificial selection differ between cattle breeds, which could lead to a variation in their deleterious mutation loads. We investigated this using mitochondrial genome data from 364 animals belonging to 18 cattle breeds of the world. Results Our analysis revealed more than a fivefold difference in the deleterious mutation load among cattle breeds. We also observed a negative correlation between the breed age and the proportion of deleterious amino acid-changing polymorphisms. This suggests a proportionally higher deleterious SNPs in young breeds compared to older breeds. Our results highlight the magnitude of difference in the deleterious mutations present in the mitochondrial genomes of various breeds. The results of this study could be useful in predicting the rate of incidence of genetic diseases in different breeds.

scholarly journals Alu Evolution in Human Populations: Using the Coalescent to Estimate Effective Population Size

Genetics ◽  
1997 ◽  
Vol 147 (4) ◽  
pp. 1977-1982
Author(s):  
Stephen T Sherry ◽  
Henry C Harpending ◽  
Mark A Batzer ◽  
Mark Stoneking
Keyword(s):  
Population Size ◽  
Effective Population Size ◽  
Genomic Library ◽  
Diploid Cell ◽  
Human Populations ◽  
Effective Population ◽  
Alu Repeats ◽  
Branch Lengths ◽  
Diploid Cell Line ◽  
Coalescence Theory

Abstract There are estimated to be ~1000 members of the Ya5 Alu subfamily of retroposons in humans. This Subfamily has a distribution restricted to humans, with a few copies in gorillas and chimpanzees. Fifty-seven Ya5 elements were previously cloned from a HeLaderived randomly sheared total genomic library, sequenced, and screened for polymorphism in a panel of 120 unrelated humans. Forty-four of the 57 cloned Alu repeats were monomorphic in the sample and 13 Alu repeats were dimorphic for insertion presence/absence. The observed distribution of sample frequencies of the 13 dimorphic elements is consistent with the theoretical expectation for elements ascertained in a single diploid cell line. Coalescence theory is used to compute expected total pedigree branch lengths for monomorphic and dimorphic elements, leading to an estimate of human effective population size of ~18,000 during the last one to two million years.

scholarly journals Malaria continues to select for sickle cell trait in Central Africa

2015 ◽  
Vol 112 (22) ◽  
pp. 7051-7054 ◽  
Author(s):  
Eric Elguero ◽  
Lucrèce M. Délicat-Loembet ◽  
Virginie Rougeron ◽  
Céline Arnathau ◽  
Benjamin Roche ◽  
...  
Keyword(s):  
Sickle Cell ◽  
Sickle Cell Trait ◽  
Genetic Disorder ◽  
Central Africa ◽  
The United States ◽  
Malaria Prevalence ◽  
Current Data ◽  
World Health ◽  
Human Populations ◽  
Health Organization

Sickle cell disease (SCD) is a genetic disorder that poses a serious health threat in tropical Africa, which the World Health Organization has declared a public health priority. Its persistence in human populations has been attributed to the resistance it provides to Plasmodium falciparum malaria in its heterozygous state, called sickle cell trait (SCT). Because of migration, SCT is becoming common outside tropical countries: It is now the most important genetic disorder in France, affecting one birth for every 2,400, and one of the most common in the United States. We assess the strength of the association between SCT and malaria, using current data for both SCT and malaria infections. A total of 3,959 blood samples from 195 villages distributed over the entire Republic of Gabon were analyzed. Hemoglobin variants were identified by using HPLCy (HPLC). Infections by three species of Plasmodium were detected by PCR followed by sequencing of a 201-bp fragment of cytochrome b. An increase of 10% in P. falciparum malaria prevalence is associated with an increase by 4.3% of SCT carriers. An increase of 10 y of age is associated with an increase by 5.5% of SCT carriers. Sex is not associated with SCT. These strong associations show that malaria remains a selective factor in current human populations, despite the progress of medicine and the actions undertaken to fight this disease. Our results provide evidence that evolution is still present in humans, although this is sometimes questioned by scientific, political, or religious personalities.

scholarly journals The effect of seasonal birth pulses on pathogen persistence in wild mammal populations

2014 ◽  
Vol 281 (1786) ◽  
pp. 20132962 ◽  
Author(s):  
A. J. Peel ◽  
J. R. C. Pulliam ◽  
A. D. Luis ◽  
R. K. Plowright ◽  
T. J. O'Shea ◽  
...  
Keyword(s):  
Communicable Disease ◽  
Mammalian Species ◽  
Human Populations ◽  
Community Size ◽  
Closed Population ◽  
Birth Pulse ◽  
Infection Dynamics ◽  
Pathogen Persistence ◽  
Host Life ◽  
Parameter Ranges

The notion of a critical community size (CCS), or population size that is likely to result in long-term persistence of a communicable disease, has been developed based on the empirical observations of acute immunizing infections in human populations, and extended for use in wildlife populations. Seasonal birth pulses are frequently observed in wildlife and are expected to impact infection dynamics, yet their effect on pathogen persistence and CCS have not been considered. To investigate this issue theoretically, we use stochastic epidemiological models to ask how host life-history traits and infection parameters interact to determine pathogen persistence within a closed population. We fit seasonal birth pulse models to data from diverse mammalian species in order to identify realistic parameter ranges. When varying the synchrony of the birth pulse with all other parameters being constant, our model predicted that the CCS can vary by more than two orders of magnitude. Tighter birth pulses tended to drive pathogen extinction by creating large amplitude oscillations in prevalence, especially with high demographic turnover and short infectious periods. Parameters affecting the relative timing of the epidemic and birth pulse peaks determined the intensity and direction of the effect of pre-existing immunity in the population on the pathogen's ability to persist beyond the initial epidemic following its introduction.

scholarly journals The effect of life-history and mode of inheritance on neutral genetic variability

2001 ◽  
Vol 77 (2) ◽  
pp. 153-166 ◽  
Author(s):  
BRIAN CHARLESWORTH
Keyword(s):  
Sequence Variation ◽  
Adult Mortality ◽  
Structured Populations ◽  
Human Populations ◽  
Effective Population ◽  
Transmission Modes ◽  
Population Sizes ◽  
Age Structured ◽  
Infinite Sites Model ◽  
Site Diversity

Formulae for the effective population sizes of autosomal, X-linked, Y-linked and maternally transmitted loci in age-structured populations are developed. The approximations used here predict both asymptotic rates of increase in probabilities of identity, and equilibrium levels of neutral nucleotide site diversity under the infinite-sites model. The applications of the results to the interpretation of data on DNA sequence variation in Drosophila, plant, and human populations are discussed. It is concluded that sex differences in demographic parameters such as adult mortality rates generally have small effects on the relative effective population sizes of loci with different modes of inheritance, whereas differences between the sexes in variance in reproductive success can have major effects, either increasing or reducing the effective population size for X-linked loci relative to autosomal or Y-linked loci. These effects need to be accounted for when trying to understand data on patterns of sequence variation for genes with different transmission modes.

scholarly journals 2000 Fleming Lecture. The origin and evolution of hepatitis viruses in humans

2001 ◽  
Vol 82 (4) ◽  
pp. 693-712 ◽  
Author(s):  
Peter Simmonds
Keyword(s):  
Large Population ◽  
Human Populations ◽  
Hepatitis Viruses ◽  
Hepatitis G Virus ◽  
Origin And Evolution ◽  
Wide Range ◽  
Population Sizes ◽  
History Of ◽  
Virus C ◽  
Time Of Divergence

The spread and origins of hepatitis C virus (HCV) in human populations have been the subject of extensive investigations, not least because of the importance this information would provide in predicting clinical outcomes and controlling spread of HCV in the future. However, in the absence of historical and archaeological records of infection, the evolution of HCV and other human hepatitis viruses can only be inferred indirectly from their epidemiology and by genetic analysis of contemporary virus populations. Some information on the history of the latter may be obtained by dating the time of divergence of various genotypes of HCV, hepatitis B virus (HBV) and the non-pathogenic hepatitis G virus (HGV)/GB virus-C (GBV-C). However, the relatively recent times predicted for the origin of these viruses fit poorly with their epidemiological distributions and the recent evidence for species-associated variants of HBV and HGV/GBV-C in a wide range of non-human primates. The apparent conservatism of viruses over long periods implied by these latter observations may be the result of constraints on sequence change peculiar to viruses with single-stranded genomes, or with overlapping reading frames. Large population sizes and intense selection pressures that optimize fitness may be the factors that set virus evolution apart from that of their hosts.

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