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Stochasticity overrules the "three-times rule": genetic drift, genetic draft, and coalescence times for nuclear loci versus mitochondrial DNA.

Palumbi et al. (2001) proposed a "three-times rule" that uses mitochondrial DNA (mtDNA) sequences to predict probabilities of monophyly for nuclear loci (i.e., whether the alleles within a taxon coalesce with one another before they coalesce with alleles from a sister taxon). They use neutral coalescent theory to infer these probabilities from the ratio of interspecific divergence to intraspecific variation of mtDNA. We show that the estimated probabilities have very wide confidence intervals because of the inherent stochasticity of the mtDNA coalescent process. Under neutrality, the true probability of monophyly can be much higher, or much lower, than predicted by the three-times rule. We also review recent empirical and theoretical studies that refute neutrality-based predictions concerning mtDNA variation and divergence. We conclude that the three-times rule is neither a useful test for neutral molecular evolution nor a reliable guide to genealogical species.

Cell Nucleus↗

Evidence for evolutionary stasis and genetic drift by genetic analysis of two equine influenza H3 viruses isolated in France.

The amino acid sequences of the HA(1) portion of the haemagglutinin of two equine A(H3N8) influenza viruses isolated in France in 1993 and 1998 were analysed to determine their evolutionary relationship with 51 other HA(1) amino acid sequences available in databanks. Our data show that the French strain isolated in 1993 belongs to a group of phylogenetically related viruses branched on the main trunk, illustrating the main lineage of evolution of the equine-2 H3 sequences before its split into two distinct lineages in the late 1980s. By contrast, the 1998 French isolate appears to belong to the more recent 'Eurasian' lineage. These data suggest that equine-2 strains antigenically related to old prototype viruses may cocirculate with the more recent 'Eurasian' and 'American' lineages. In conclusion, it may be necessary to include both strains representative of recent equine influenza variants and an older prototype strain in the current equine influenza vaccines.

Amino Acid Sequence↗

The evolution of genetic architecture. I. Diversification of genetic backgrounds by genetic drift.

The genetic architecture of a phenotype plays a critical role in determining phenotypic evolution through its effects on patterns of genetic variation. Genetic architecture is often considered to be constant in evolutionary quantitative genetic models. However, genetic architecture may be variable and itself evolve when there are dominance and epistatic interactions among alleles at the same and different loci, respectively. The evolution of genetic architecture by genetic drift is examined here by testing the breeding value of four standard inbred mouse strains mated across a set of 26 related recombinant quasi-inbred (RqI) lines generated from the intercross of the Large (LG/J) and Small (SM/J) inbred mouse strains. Phenotypes of interest include age-specific body weights, growth, and adult body composition. If the genetic architecture of these traits has differentiated by genetic drift during the production of the RqI strains, we should observe interactions between tester strain and RqI strain. The breeding values of the tester strains will change relative to one another depending on which RqI strain they are crossed to. The study included an average of 15.1 offspring per cross, over a total of 100 different crosses. Multivariate and univariate analyses of variance indicate that there is strongly significant interaction for all traits. Interaction is more pronounced in males than in females and accounted for an average of about 40% of the explained variation in males and 30% in females. These results indicate that the genetic architecture of these traits has differentiated by genetic drift in the RqI strains since their isolation from a common founder population. Further analysis indicates that this differentiation results in changes in the order of tester strain effects so that common patterns of selection in these differentiated populations could result in the fixation of different alleles.

Animals↗

Impact of selection, mutation rate and genetic drift on human genetic variation.

The accumulation of genome-wide information on single nucleotide polymorphisms in humans provides an unprecedented opportunity to detect the evolutionary forces responsible for heterogeneity of the level of genetic variability across loci. Previous studies have shown that history of recombination events has produced long haplotype blocks in the human genome, which contribute to this heterogeneity. Other factors, however, such as natural selection or the heterogeneity of mutation rates across loci, may also lead to heterogeneity of genetic variability. We compared synonymous and non-synonymous variability within human genes with their divergence from murine orthologs. We separately analyzed the non-synonymous variants predicted to damage protein structure or function and the variants predicted to be functionally benign. The predictions were based on comparative sequence analysis and, in some cases, on the analysis of protein structure. A strong correlation between non-synonymous, benign variability and non-synonymous human-mouse divergence suggests that selection played an important role in shaping the pattern of variability in coding regions of human genes. However, the lack of correlation between deleterious variability and evolutionary divergence shows that a substantial proportion of the observed non-synonymous single-nucleotide polymorphisms reduces fitness and never reaches fixation. Evolutionary and medical implications of the impact of selection on human polymorphisms are discussed.

Animals↗

Stability of the G-matrix in a population experiencing pleiotropic mutation, stabilizing selection, and genetic drift.

Quantitative genetics theory provides a framework that predicts the effects of selection on a phenotype consisting of a suite of complex traits. However, the ability of existing theory to reconstruct the history of selection or to predict the future trajectory of evolution depends upon the evolutionary dynamics of the genetic variance-covariance matrix (G-matrix). Thus, the central focus of the emerging field of comparative quantitative genetics is the evolution of the G-matrix. Existing analytical theory reveals little about the dynamics of G, because the problem is too complex to be mathematically tractable. As a first step toward a predictive theory of G-matrix evolution, our goal was to use stochastic computer models to investigate factors that might contribute to the stability of G over evolutionary time. We were concerned with the relatively simple case of two quantitative traits in a population experiencing stabilizing selection, pleiotropic mutation, and random genetic drift. Our results show that G-matrix stability is enhanced by strong correlational selection and large effective population size. In addition, the nature of mutations at pleiotropic loci can dramatically influence stability of G. In particular, when a mutation at a single locus simultaneously changes the value of the two traits (due to pleiotropy) and these effects are correlated, mutation can generate extreme stability of G. Thus, the central message of our study is that the empirical question regarding G-matrix stability is not necessarily a general question of whether G is stable across various taxonomic levels. Rather, we should expect the G-matrix to be extremely stable for some suites of characters and unstable for others over similar spans of evolutionary time.

Analysis of Variance↗

The effect of genetic drift in a young genetically isolated population.

The genetic make-up of genetically isolated populations may differ from a general population as a result of genetic drift and founder effects. We assessed the extent of this deviation in a recently isolated population located in the southwest of the Netherlands and studied as part of the Genetic Research in Isolated Population (GRIP) program. A gene-dropping experiment was performed in a large pedigree from this isolate, assuming different initial frequencies in the population founders came from. Allelic frequencies in the last generations of this pedigree were estimated. Simulation analysis showed large fluctuations, as measured by variation coefficient and sufficient loss probability, when initial frequencies were lower than or equal to 1%. For initial frequencies larger than 1% the fluctuations were small. We also analyzed mean heterozygosity and allele diversity of 592 markers in a random sample from the GRIP population. The results were compared with a general population (CEPH sample), old large isolate (Icelandic sample) and the small-sized population of Talana (Sardinia). GRIP mean heterozygosity and mean number of alleles were significantly lower as compared with CEPH and Iceland, but much higher when compared with the Talana population. We also concluded that the findings from the GRIP population for common variants (>1%) are likely to be extendable to other young isolates in Europe as well as to outbred populations.

Cohort Studies↗

Simultaneous estimation of mixing rates and genetic drift under successive sampling of genetic markers with application to the mud crab (Scylla paramamosain) in Japan.

In stock enhancement programs, it is important to assess mixing rates of released individuals in stocks. For this purpose, genetic stock identification has been applied. The allele frequencies in a composite population are expressed as a mixture of the allele frequencies in the natural and released populations. The estimation of mixing rates is possible, under successive sampling from the composite population, on the basis of temporal changes in allele frequencies. The allele frequencies in the natural population may be estimated from those of the composite population in the preceding year. However, it should be noted that these frequencies can vary between generations due to genetic drift. In this article, we develop a new method for simultaneous estimation of mixing rates and genetic drift in a stock enhancement program. Numerical simulation shows that our procedure estimates the mixing rate with little bias. Although the genetic drift is underestimated when the amount of information is small, reduction of the bias is possible by analyzing multiple unlinked loci. The method was applied to real data on mud crab stocking, and the result showed a yearly variation in the mixing rate.

Animals↗

Genetic variability of respiratory syncytial virus subgroup B strain isolated during the last 20 years from the same region in Japan: existence of time-dependent linear genetic drifts.

The genetic variability of 32 respiratory syncytial virus (RSV) sub-group B isolates from a single community in Japan during the 20 years from 1980 to 1999 was determined. Two variable regions of the attachment (G) protein gene were amplified by reverse transcriptase-polymerase chain reaction amplification and their products were sequenced directly. Phylogenetic analysis of nucleotide sequences revealed seven distinct branches in which strains isolated during seasons of close proximity were located: however, isolates from the same season were often in plural branches. There was a tendency for recent isolates to lie at the end of each branch and these linear evolutionary changes were typically represented in a branch containing nine strains isolated during 6 seasons from '80 to '86. Three kinds of usages of stop codons were confirmed and isolates located in each branch used the same stop codons. These observations suggest that there are multiple subgroup B lineages co-circulating and that each lineage strain may exhibit linear evolutionary genetic drifts in order to survive over successive epidemics within the same population, although it has a conserved uniform G protein length with the use of the same stop codon.

Amino Acid Sequence↗

High frequencies of human genetic diseases: founder effect with genetic drift or selection?

Rare genetic diseases have been reported with high frequency in some populations. The mechanisms which were proposed to explain most of these observations include founder effect, genetic drift or selective advantage. In recent years, many genes have been sequenced and mutations causing some of these disorders were characterized. According to the analysis of haplotypes and/or mutations, it may be possible to distinguish 3 groups of disorders frequent in isolated populations. In the first group, all the affected patients have only one frequent mutation, suggesting a founder effect with genetic drift. In the second group, more than one mutation is found among the patients; however, most of the patients are homozygotes for one frequent mutation which most probably originated from a common founder; the other patients are compound heterozygotes for the common mutation and a rare mutation. In the third group, more than one frequent mutation is found responsible for each disease. This may be due to a selective advantage which allows the expansion of each new mutation in the particular population or to multiple founder effect with genetic drift in smaller communities which thereafter mixed to form the larger population.

Canada↗

Group selection, individual selection, and the evolution of genetic drift.

In a subdivided population, genetic drift affects variation between groups, and thus it can have an important effect on the outcome of evolution (Wright, 1978). The rate of genetic drift is determined, in part, by the behaviour of population members. This paper presents three mathematical models in which behavioural traits that affect the rate of genetic drift are allowed to coevolve with traits that are under selection at the group and individual levels. The results show that if group selection is strong relative to individual selection, then behavioural traits that enhance the rate of genetic drift will tend to increase in frequency. The strength of this effect depends, in part, on the way in which vacant sites are colonized.

Animals↗

Genetic drift and anthropometric variation in Ireland.

The effect of genetic drift on the genetic structure of seven Irish populations was investigated using anthropometric data collected during the 1890s on 259 adult males. These populations ranged in size from 769 to 3757, were relatively stable over time, and were located within 119 km of one another. Two populations are known to have experienced considerable English admixture. Data on ten anthropometric variables (three body measures and seven craniofacial measures) were adjusted for age and used to compute a relationship (R) matrix. The R matrix was converted into a distance measure and compared with a potential genetic drift distance measure, defined as (1/Ni + 1/Nj), where Ni and Nj are the effective population sizes of groups i and j (derivation of this formula is presented). Distances were rank-transformed, and the correlation between their pairwise elements was computed using matrix permutation methods to assess significance. Under the hypothesis that drift affects anthropometric variation, these correlations are expected to be positive. The correlation between anthropometric distance and potential genetic drift distance is 0.123, which is not significantly different from 0 (P = 0.368). When a multiple regression model is used to adjust for geographic distance and English admixture, the partial correlation (0.369) is significant (p = 0.021). As part of further analysis of the genetic structure of these populations, the same analyses were repeated using a distance matrix derived from surname frequencies. The correlation of surname distance and potential genetic drift distance is 0.164, which is not significant (p = 0.264). When the multiple regression model is applied, the correlation is 0.401, which is borderline significant (p = 0.055). These results show the influence of genetic drift, local migration, and admixture on Irish population structure.

Adolescent↗

Evidence for genetic drift in the diversification of a geographically isolated population of the hyperthermophilic archaeon Pyrococcus.

Genetic drift is a mechanism of population divergence that is important in the evolution of plants and animals but is thought to be rare in free-living microorganisms because of their typically large population sizes and unrestricted means of dispersal. We used both phylogenetic and insertion sequence (IS) element analyses in hyperthermophilic archaea of the genus Pyrococcus to test the hypothesis that genetic drift played an important role in the diversification of these microorganisms. Multilocus sequence typing of a collection of 36 isolates of Pyrococcus, from different hydrothermal systems in the Pacific Ocean and the Mediterranean Sea, revealed that Pyrococcus populations from different geographic locations are genetically differentiated. Analysis of IS elements in these isolates exposed their presence in all individuals of only one geographically isolated lineage, that of Vulcano Island in the Mediterranean Sea. Detailed sequence analysis of six selected IS elements in the Vulcano population showed that these elements cause deleterious genomic alterations, including inactivation of gene function. The high frequency of IS elements in the sampled population together with their observed harmful effects in the genome of Pyrococcus provide molecular evidence that the Vulcano Island population of Pyrococcus is geographically isolated and that those genetic mobile elements have been brought up to high frequency by genetic drift. Thus, genetic drift resulting from physical isolation should be considered as a factor influencing differentiation in prokaryotes.

Base Sequence↗

Genetic drift of parvovirus B19 is found in AIDS patients with persistent B19 infection.

It is generally thought that parvovirus B19 is stable genetically. Consistently, genetic drift has not been found in patients with persistent B19 infection. In this report, longitudinal genetic changes in NS1 and VP1 gene of B19 isolates from three AIDS patients with persistent B19 infection were studied. One of the three patients was not treated with highly active anti-retroviral therapy (HAART). B19 viral DNA from these patients was amplified by polymerase chain reaction (PCR) and then sequenced directly. A single genetic change was found in the B19 isolate obtained from the patient not treated with HAART on Day 10 after intravenous immunoglobulin (IVIG) treatment. The nucleotide sequences of B19 isolated from this patient, then remained unchanged over a period of 11 months. Analysis of NS1 clones derived from his longitudinal viral isolates showed the existence of quasi-species but genetic drift was not found. One of the other two patients treated with HAART experienced treatment failure; he was later treated with mega-HAART. In contrast to the genetic stability of B19 isolates from the patient not treated with HAART, multiple genetic changes were discovered in the viral isolates from the two other patients after HAART and mega-HAART, respectively. Through analysis of B19 clones, the frequency of clones containing these mutations confirmed the genetic drift. Nucleotide substitutions seen in VP2 gene of isolates with genetic drift from both patients were all non-conserved, suggesting that they are positively selected.

AIDS-Related Opportunistic Infections↗

Did natural selection or genetic drift produce the cranial diversification of neotropical monkeys?

A central controversy among biologists is the relative importance of natural selection and genetic drift as creative forces shaping biological diversification (Fisher 1930; Wright 1931). Historically, this controversy has been an effective engine powering several evolutionary research programs during the last century (Provine 1989). While all biologists agree that both processes operate in nature to produce evolutionary change, there is a diversity of opinion about which process dominates at any particular organizational level (from DNA and proteins to complex morphologies). To address this last level, we did a broadscale analysis of cranial diversification among all living New World monkeys. Quantitative genetic models yield specific predictions about the relationship between variation patterns within and between populations that may be used to test the hypothesis that genetic drift is a sufficient explanation for morphological diversification. Diversity at several levels in a hierarchy of taxonomic/phylogenetics relationship was examined from species within genera to families within superfamilies. The major conclusion is that genetic drift can be ruled out as the primary source of evolutionary diversification in cranial morphology among taxa at the level of the genus and above as well as for diversification of most genera. However, drift may account for diversification among species within some Neotropical primate genera, implying that morphological diversification associated with speciation need not be adaptive in some radiations.

Adaptation, Physiological↗

A reassessment of genetic diversity in Icelanders: strong evidence from multiple loci for relative homogeneity caused by genetic drift.

There has been some controversy in the literature concerning whether Icelanders are genetically homogenous or heterogeneous relative to other European populations. We reassess this question in the light of large data sets spanning 83 autosomal SNP loci, 14 serogenetic loci, 6622 Y-chromosomes and 3214 sequences from mtDNA hypervariable segments 1 and 2 (HVS1 and HVS2). Our results strongly support the hypothesis that genetic drift, with a consequent loss of variation, has had a greater impact on Icelanders than most other Europeans. We also analyse 7245 HVS1 sequences from 25 European populations. In line with other studies, we observe a deficit of rare HVS1 haplotypes and an excess of intermediate frequency haplotypes in Icelanders compared to most European populations, with some measures of genetic diversity indicating relative heterogeneity and others indicating relative homogeneity of Icelanders. Simulations indicate that genetic drift, and not admixture (as proposed by Arnason, 2003) is the most likely cause of the atypical Icelandic HVS1 frequency spectrum. These simulations reveal that gene diversity (heterozygosity) and mean pairwise differences are largely insensitive to events in recent population history, while statistics based on the number of haplotypes or segregating sites are much more sensitive. Overall, our analyses strongly indicate that the Icelandic gene pool is less heterogeneous than those of most other European populations.

Chromosomes, Human, Y↗

Genetic drift and natural selection in an isolated Zapotec-speaking community in the Valley of Oaxaca, southern Mexico.

Genetic drift and natural selection were analyzed in a genetically isolated Zapotec-speaking community in the Valley of Oaxaca, southern Mexico. Moderately intense genetic drift and selection potentials were found. Potential for drift was related to (1) the small effective size of the population, and (2) the exceptionally low number of migrants into the population. Potential for selection was due to (1) an unusually high variance in fertility, and (2) a high contribution of prereproductive mortality. Significant potential for genetic evolution was found due to genetic drift and natural selection.

Adolescent↗