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Spatial scale and temporal component of selection in side-blotched lizards.

Spatial variation in selection has long been recognized as promoting population divergence and in maintaining genetic polymorphisms, but selection at a fine spatial scale is seldom measured directly. We analyzed spatial and temporal variation in selective regimes on egg size using long-term population data of the side-blotched lizard (Uta stansburiana). Juvenile survival rates varied between years at a small spatial scale that was reflected as a strong interaction between the local neighborhood level and year. Spatially and temporally variable selection acted jointly on egg mass, which presumably would facilitate the maintenance of high additive genetic variance for this trait. Local selection gradients calculated at the neighborhood level were significantly correlated with the annual global selection gradients calculated at the metapopulation level. However, there was substantial variance in these local selective regimes, which suggests that strong local selection could go undetected if the analysis was limited to the global level. We also investigated the degree of spatial synchronization among outcrop in local selection gradients. The degree of synchrony was higher among later-clutch hatchlings than among first-clutch hatchlings, and we suggest that more intense density- and frequency-dependent selection on egg size later in the season is responsible for this effect.

Adaptation, Physiological↗

Risk of selecting de novo drug-resistance mutations during structured treatment interruptions in patients with chronic HIV infection.

BACKGROUND: Structured treatment interruption (STI) may allow viral replication in the presence of decreased plasma drug levels, with risk of selection of resistance mutations. METHODS: For patients recruited for an STI study, genotypic resistance testing was performed at baseline (before receipt of any treatment), immediately before the STI, and 2 weeks after each interuption of therapy. RESULTS: During 20 (18%) of 112 STI cycles (95% CI, 11%-26%), resistance mutations were selected; 6% of the mutations were de novo (i.e., not detected before the start of STI), and 12% were archived mutations (i.e., mutations already detected before the STI). Overall, resistance mutations during STI were selected in 9 (26%) of 35 patients; 5 (14%) of the mutations were de novo, and 4 (12%) were archived mutations. Mutations conferring resistance to nonnucleoside reverse-transcriptase inhibitors (NNRTIs) were selected in 3 (23%) of 13 patients receiving NNRTI-based regimens (all mutations were de novo). Mutations conferring resistance to lamivudine were selected in 9 (50%) of 18 patients receiving lamivudine-containing regimens (4 [22%] were de novo, and 5 [28%] were archived mutations). Mutations conferring resistance to nucleoside reverse-transcriptase inhibitors (NRTIs), excluding the M184V mutation, were selected in 2 (6%) of 35 recipients of NRTIs (1 [3%] of these mutations was de novo, and 1 [3%] was an archived mutation. Finally, mutations conferring resistance to protease inhibitors were selected in none of the 22 patients receiving protease inhibitors. In most cases, de novo and archived mutations were selected during the first STI cycle, and their number did not increase during successive cycles. Plasma viral load decreased to undetectable levels in all the patients when the earlier drug regimen was reintroduced. CONCLUSIONS: Genotypic mutations are selected during STI in a high proportion of patients (especially in patients receiving NNRTIs or lamivudine). Approximately one-half of selected mutations were archived mutations. Patients who had archived mutations did not have a higher risk of accumulating new mutations than did patients who were infected with wild-type virus before the STI.

Adult↗

Effects of pleiotropy on predictions concerning mutation-selection balance for polygenic traits.

Previous mathematical analyses of mutation-selection balance for metric traits assume that selection acts on the relevant loci only through the character(s) under study. Thus, they implicitly assume that all of the relevant mutation and selection parameters are estimable. A more realistic analysis must recognize that many of the pleiotropic effects of loci contributing variation to a given character are not known. To explore the consequences of these hidden effects, I analyze models of two pleiotropically connected polygenic traits, denoted P1 and P2. The actual equilibrium genetic variance for P1, based on complete knowledge of all mutation and selection parameters for both P1 and P2, can be compared to a prediction based solely on observations of P1. This extrapolation mimics empirically obtainable predictions because of the inevitability of unknown pleiotropic effects. The mutation parameters relevant to P1 are assumed to be known, but selection intensity is estimated from the within-generation reduction of phenotypic variance for P1. The extrapolated prediction is obtained by substituting these parameters into formulas based on single-character analyses. Approximate analytical and numerical results show that the level of agreement between these univariate extrapolations and the actual equilibrium variance depends critically on both the genetic model assumed and the relative magnitudes of the mutation and selection parameters. Unless per locus mutation rates are extremely high, i.e., generally greater than 10(-4), the widely used gaussian approximation for genetic effects at individual loci is not applicable. Nevertheless, the gaussian approximations predict that the true and extrapolated equilibria are in reasonable agreement, i.e., within a factor of two, over a wide range of parameter values. In contrast, an alternative approximation that applies for moderate and low per locus mutation rates predicts that the extrapolation will generally overestimate the true equilibrium variance unless there is little selection associated with hidden effects. The tendency to overestimate is understandable because selection acts on all of the pleiotropic manifestations of a new mutation, but equilibrium covariances among the characters affected may not reveal all of this selection. This casts doubt on the proposal that much of the additive polygenic variance observed in natural populations can be explained by mutation-selection balance. It also indicates the difficulty of critically evaluating this hypothesis.

Genes↗

Selection, generalized transmission and the evolution of modifier genes. I. The reduction principle.

Modifier gene models are used to explore the evolution of features of organisms, such as the genetic system, that are not directly involved in the determination of fitness. Recent work has shown that a general "reduction principle" holds in models of selectively neutral modifiers of recombination, mutation, and migration. Here we present a framework for models of modifier genes that shows these reduction results to be part of a more general theory, for which recombination and mutation are special cases. The deterministic forces that affect the genetic composition of a population can be partitioned into two categories: selection and transmission. Selection includes differential viabilities, fertilities, and mating success. Imperfect transmission occurs as a result of such phenomena as recombination, mutation and migration, meiosis, gene conversion, and meiotic drive. Selectively neutral modifier genes affect transmission, and a neutral modifier gene can evolve only by generating association with selected genes whose transmission it affects. We show that, in randomly mating populations at equilibrium, imperfect transmission of selected genes allows a variance in their marginal fitnesses to be maintained. This variance in the marginal fitnesses of selected genes is what drives the evolution of neutral modifier genes. Populations with a variance in marginal fitnesses at equilibrium are always subject to invasion by modifier genes that bring about perfect transmission of the selected genes. It is also found, within certain constraints, that for modifier genes producing what we call "linear variation" in the transmission processes, a new modifier allele can invade a population at equilibrium if it reduces the level of imperfect transmission acting on the selected genes, and will be expelled if it increases the level of imperfect transmission. Moreover, the strength of the induced selection on the modifier gene is shown to range up to the order of the departure of the genetic system from perfect transmission.

Biological Evolution↗

Multistage selection for genetic gain by orthogonal transformation.

An exact transformed culling method for any number of traits or stages of selection with explicit solution for multistage selection is described in this paper. This procedure does not need numerical integration and is suitable for obtaining either desired genetic gains for a variable proportion selected or optimum aggregate breeding value for a fixed total proportion selected. The procedure has similar properties to multistage selection index and, as such, genetic gains from use of the procedure may exceed ordinary independent culling level selection. The relative efficiencies of transformed to conventional independent culling ranged from 87% to over 300%. These results suggest that for most situations one can chose a multistage selection scheme, either conventional or transformed culling, which will have an efficiency close to that of selection index. After considering cost savings associated with multistage selection, there are many situations in which economic returns from use of independent culling, either conventional or transformed, will exceed that of selection index.

Animals↗

Effective size of populations under selection.

Equations to approximate the effective size (Ne) of populations under continued selection are obtained that include the possibility of partial full-sib mating and other systems such as assortative mating. The general equation for the case of equal number of sexes and constant number of breeding individuals (N) is Ne = 4N/[2(1 - alpha I) + (Sk2 + 4Q2C2) (1 + alpha I + 2 alpha O)], where Sk2 is the variance of family size due to sampling without selection, C2 is the variance of selective advantages among families (the squared coefficient of variation of the expected number of offspring per family), alpha I is the deviation from Hardy-Weinberg proportions, alpha O is the correlation between genes of male and female parents, and Q2 is the term accounting for the cumulative effect of selection on an inherited trait. This is obtained as Q = 2/[2 - G(1 + r)], where G is the remaining proportion of genetic variance in selected individuals and r is the correlation of the expected selective values of male and female parents. The method is also extended to the general case of different numbers of male and female parents. The predictive value of the formulae is tested under a model of truncation selection with the infinitesimal model of gene effects, where C2 and G are a function of the selection intensity, the heritability and the intraclass correlation of sibs. Under random mating r = alpha I = -1/(N - 1) and alpha O = 0. Under partial full-sib mating with an average proportion beta of full-sib matings per generation, r approximately beta and alpha O approximately alpha I approximately beta/(4 - 3 beta). The prediction equation is compared to other approximations based on the long-term contributions of ancestors to descendants. Finally, based on the approach followed, a system of mating (compensatory mating) is proposed to reduce rates of inbreeding without loss of response in selection programs in which selected individuals from the largest families are mated to those from the smallest families.

Animals↗

Polygenic mutation in Drosophila melanogaster: genetic analysis of selection lines.

We have conducted genetic analyses of 12 long-term selection lines of Drosophila melanogaster derived from a highly inbred base population, containing new mutations affecting abdominal and sternopleural bristle number. Biometric analysis of the number of effective factors differentiating the selected lines from the base inbred indicated that with the exception of the three lines selected for increased number of abdominal bristles, three or more mutations contributed to the responses of the selection lines. Analysis of the chromosomal distribution of effects revealed that mutations affecting abdominal bristle number occurred on all three major chromosomes. In addition, Y-linked mutations with effects ranging from one to three bristles occurred in all three lines selected for decreased number of abdominal bristles, as well as in one line selected for increased abdominal bristle number. Mutations affecting sternopleural bristle number were mainly on the X and third chromosomes. One abdominal and one sternopleural selection line showed evidence of a segregating lethal with large effects on bristle number. As an indirect test for allelism of mutations occurring in different selection lines, the three lines selected in the same direction for the same trait were crossed in all possible combinations, and selection continued from the F2 hybrids. Responses of the hybrid lines usually did not exceed those of the most extreme parental lines, indicating that the responses of the parental lines may have been partly due to mutations at the same loci, although other interpretations are possible.

Abdomen↗

Effects of differential selection in the sexes on cytonuclear dynamics. Life stages with sex differences.

We extend our investigation of cytonuclear selection by determining when differential selection between the sexes will generate allele frequency changes or cytonuclear disequilibria in populations with constant viability selection and an adult census. We demonstrate analytically that there can be a cytonuclear hitchhiking effect upon a selectively neutral marker in either sex provided the other marker is selected in that sex and there is allelic disequilibrium between the loci in females. Cytonuclear disequilibria are generated de novo in both sexes when both loci affect fitness in females and there is a nonmultiplicative fitness interaction between them. Similar fitness interactions in males generate male disequilibria only. Through numerical analyses, we investigate the potential magnitude of such disequilibria, their qualitative dynamics, the expected frequency of detectable disequilibria under particular patterns or strengths of selection, and the possible disequilibrium sign patterns resulting from selection. These adult/viability results subsume those for populations with a gamete census and either constant fertility or viability selection. Although previous work suggests that the disequilibria generated by cytonuclear selection may be difficult to detect experimentally, this study shows that cytonuclear disequilibria at life stages with sex differences can be useful markers of the presence and strength of selection.

Alleles↗

Codon-substitution models for heterogeneous selection pressure at amino acid sites.

Comparison of relative fixation rates of synonymous (silent) and nonsynonymous (amino acid-altering) mutations provides a means for understanding the mechanisms of molecular sequence evolution. The nonsynonymous/synonymous rate ratio (omega = d(N)d(S)) is an important indicator of selective pressure at the protein level, with omega = 1 meaning neutral mutations, omega < 1 purifying selection, and omega > 1 diversifying positive selection. Amino acid sites in a protein are expected to be under different selective pressures and have different underlying omega ratios. We develop models that account for heterogeneous omega ratios among amino acid sites and apply them to phylogenetic analyses of protein-coding DNA sequences. These models are useful for testing for adaptive molecular evolution and identifying amino acid sites under diversifying selection. Ten data sets of genes from nuclear, mitochondrial, and viral genomes are analyzed to estimate the distributions of omega among sites. In all data sets analyzed, the selective pressure indicated by the omega ratio is found to be highly heterogeneous among sites. Previously unsuspected Darwinian selection is detected in several genes in which the average omega ratio across sites is <1, but in which some sites are clearly under diversifying selection with omega > 1. Genes undergoing positive selection include the beta-globin gene from vertebrates, mitochondrial protein-coding genes from hominoids, the hemagglutinin (HA) gene from human influenza virus A, and HIV-1 env, vif, and pol genes. Tests for the presence of positively selected sites and their subsequent identification appear quite robust to the specific distributional form assumed for omega and can be achieved using any of several models we implement. However, we encountered difficulties in estimating the precise distribution of omega among sites from real data sets.

Amino Acid Substitution↗

Cellular consequences in the brain and liver of age-specific selection for rate of development in mice.

Changes in cell number (hyperplasia) and cell size (hypertrophy) in the brain and liver are described for mice subjected to 24 generations of age-specific restricted index selection for rate of development in body weight. One selection treatment (E) altered rate of development between birth and 10 days of age, another treatment (L) involved changes in rate of development between 28 and 56 days of age, while a third control treatment (C) involved random selection. Each selection treatment was replicated three times. These age-specific selection treatments focused on intervals during ontogeny when different developmental processes (hypertrophy or hyperplasia) were more predominant in the control of growth. Significant changes in brain and liver weight occurred at both 28 and 70 days of age. Early selection (E) generated significant changes in the number of cells in the brain while later selection (L) had no effect since the brain had stopped growth before selection was initiated. For the liver, early and late selection produced significant effects on both cell number and cell size. These results describe the dynamic and multidimensional aspects of selection in terms of its ability to alter different cellular and developmental components of complex morphological traits.

Aging↗

Effects of genetic background on response to selection in experimental populations of Arabidopsis thaliana.

The extent to which genetic background can influence allelic fitness is poorly understood, despite having important evolutionary consequences. Using experimental populations of Arabidopsis thaliana and map-based population genetic data, we examined a multigeneration response to selection in populations with differentiated genetic backgrounds. Replicated experimental populations of A. thaliana with genetic backgrounds derived from ecotypes Landsberg and Niederzenz were subjected to strong viability and fertility selection by growing individuals from each population at high density for three generations in a growth chamber. Patterns of genome-wide selection were evaluated by examining deviations from expected frequencies of mapped molecular markers. Estimates of selection coefficients for individual genomic regions ranged from near 0 to 0.685. Genomic regions demonstrating the strongest response to selection most often were selected similarly in both genetic backgrounds. The selection response of several weakly selected regions, however, appeared to be sensitive to genetic background, but only one region showed evidence of positive selection in one background and negative selection in another. These results are most consistent with models of adaptive evolution in which allelic fitnesses are not strongly influenced by genetic background and only infrequently change in sign due to variation at other loci.

Arabidopsis↗

Effect of recombination on the accuracy of the likelihood method for detecting positive selection at amino acid sites.

Maximum-likelihood methods based on models of codon substitution accounting for heterogeneous selective pressures across sites have proved to be powerful in detecting positive selection in protein-coding DNA sequences. Those methods are phylogeny based and do not account for the effects of recombination. When recombination occurs, such as in population data, no unique tree topology can describe the evolutionary history of the whole sequence. This violation of assumptions raises serious concerns about the likelihood method for detecting positive selection. Here we use computer simulation to evaluate the reliability of the likelihood-ratio test (LRT) for positive selection in the presence of recombination. We examine three tests based on different models of variable selective pressures among sites. Sequences are simulated using a coalescent model with recombination and analyzed using codon-based likelihood models ignoring recombination. We find that the LRT is robust to low levels of recombination (with fewer than three recombination events in the history of a sample of 10 sequences). However, at higher levels of recombination, the type I error rate can be as high as 90%, especially when the null model in the LRT is unrealistic, and the test often mistakes recombination as evidence for positive selection. The test that compares the more realistic models M7 (beta) against M8 (beta and omega) is more robust to recombination, where the null model M7 allows the positive selection pressure to vary between 0 and 1 (and so does not account for positive selection), and the alternative model M8 allows an additional discrete class with omega = d(N)/d(S) that could be estimated to be >1 (and thus accounts for positive selection). Identification of sites under positive selection by the empirical Bayes method appears to be less affected than the LRT by recombination.

Bayes Theorem↗

Recombination, dominance and selection on amino acid polymorphism in the Drosophila genome: contrasting patterns on the X and fourth chromosomes.

Surveys of nucleotide polymorphism and divergence indicate that the average selection coefficient on Drosophila proteins is weakly positive. Similar surveys in mitochondrial genomes and in the selfing plant Arabidopsis show that weak negative selection has operated. These differences have been attributed to the low recombination environment of mtDNA and Arabidopsis that has hindered adaptive evolution through the interference effects of linkage. We test this hypothesis with new sequence surveys of proteins lying in low recombination regions of the Drosophila genome. We surveyed >3800 bp across four proteins at the tip of the X chromosome and >3600 bp across four proteins on the fourth chromosome in 24 strains of D. melanogaster and 5 strains of D. simulans. This design seeks to study the interaction of selection and linkage by comparing silent and replacement variation in semihaploid (X chromosome) and diploid (fourth chromosome) environments lying in regions of low recombination. While the data do indicate very low rates of exchange, all four gametic phases were observed both at the tip of the X and across the fourth chromosome. Silent variation is very low at the tip of the X (thetaS = 0.0015) and on the fourth chromosome (thetaS = 0.0002), but the tip of the X shows a greater proportional loss of variation than the fourth shows relative to normal-recombination regions. In contrast, replacement polymorphism at the tip of the X is not reduced (thetaR = 0.00065, very close to the X chromosome average). MK and HKA tests both indicate a significant excess of amino acid polymorphism at the tip of the X relative to the fourth. Selection is significantly negative at the tip of the X (Nes = -1.53) and nonsignificantly positive on the fourth (Nes approximately 2.9), analogous to the difference between mtDNA (or Arabidopsis) and the Drosophila genome average. Our distal X data are distinct from regions of normal recombination where the X shows a deficiency of amino acid polymorphism relative to the autosomes, suggesting more efficient selection against recessive deleterious replacement mutations. We suggest that the excess amino acid polymorphism on the distal X relative to the fourth chromosome is due to (1) differences in the mutation rate for selected mutations on the distal X or (2) a greater relaxation of selection from stronger linkage-related interference effects on the distal X. This relaxation of selection is presumed to be greater in magnitude than the difference in efficiency of selection between X-linked vs. autosomal selection.

Amino Acids↗

Polygenic variation maintained by balancing selection: pleiotropy, sex-dependent allelic effects and G x E interactions.

We investigate three alternative selection-based scenarios proposed to maintain polygenic variation: pleiotropic balancing selection, G x E interactions (with spatial or temporal variation in allelic effects), and sex-dependent allelic effects. Each analysis assumes an additive polygenic trait with n diallelic loci under stabilizing selection. We allow loci to have different effects and consider equilibria at which the population mean departs from the stabilizing-selection optimum. Under weak selection, each model produces essentially identical, approximate allele-frequency dynamics. Variation is maintained under pleiotropic balancing selection only at loci for which the strength of balancing selection exceeds the effective strength of stabilizing selection. In addition, for all models, polymorphism requires that the population mean be close enough to the optimum that directional selection does not overwhelm balancing selection. This balance allows many simultaneously stable equilibria, and we explore their properties numerically. Both spatial and temporal G x E can maintain variation at loci for which the coefficient of variation (across environments) of the effect of a substitution exceeds a critical value greater than one. The critical value depends on the correlation between substitution effects at different loci. For large positive correlations (e.g., rho(ij)2>3/4), even extreme fluctuations in allelic effects cannot maintain variation. Surprisingly, this constraint on correlations implies that sex-dependent allelic effects cannot maintain polygenic variation. We present numerical results that support our analytical approximations and discuss our results in connection to relevant data and alternative variance-maintaining mechanisms.

Data Interpretation, Statistical↗

Single- and multi-step resistance selection study of gemifloxacin compared with trovafloxacin, ciprofloxacin, gatifloxacin and moxifloxacin in Streptococcus pneumoniae.

The ability of sequential subcultures in subinhibitory concentrations of gemifloxacin, trovafloxacin, ciprofloxacin, gatifloxacin and moxifloxacin to select resistant mutants was studied in 16 pneumococci [eight with ciprofloxacin MICs (mg/L) 0.25-1; four with 8-16; four with 16-32]. Subculturing was done 50 times, or until mutants with elevated MICs (> or = 4 x) to the selecting drug emerged. Subculturing in gemifloxacin selected six resistant mutants (gemifloxacin MICs 2 mg/L); trovafloxacin selected nine (trovafloxacin MICs 2-4 mg/L); ciprofloxacin selected 11 (ciprofloxacin MICs 8-128 mg/L); gatifloxacin selected 13; and moxifloxacin selected 12 (gatifloxacin or moxifloxacin MICs 2-16 mg/L). DNA sequencing showed that most mutants had mutations in ParC at Ser-79 or Asp-83 and in GyrA at Ser-81 or Glu-85; some mutants also had mutations in ParE or GyrB. Some new mutations were found in ParE or GyrB that have not yet been reported; GyrB mutation might be associated with moxifloxacin resistance. Both DNA gyrase and topoisomerase IV were thought to be the target of gemifloxacin; gemifloxacin also selected mutants with single modifications in gyrA, parC or parE alone among derived mutants by repeated exposure to subinhibitory concentrations of fluoroquinolones. In the presence of reserpine, most mutants had lower MICs of ciprofloxacin and gemifloxacin (4-32 x), and gatifloxacin (4-8 x), suggesting an efflux mechanism; none had lower trovafloxacin and moxifloxacin MICs. All quinolones tested selected for resistance; judicious use and proper dosing will be necessary to avoid resistance selection of newer broad-spectrum fluoroquinolones.

Anti-Infective Agents↗

A simple method for estimating the intensity of purifying selection in protein-coding genes.

We propose a method by which the intensity of purifying selection on a functional protein-coding gene is estimated by using three aligned homologous sequences: a processed pseudogene (psi), a functional paralog from the same species (g), and a functional ortholog from a different species (o). For each such trio, we calculate the numbers of nucleotide substitutions along the branches leading to psi and g, i.e., K psi and K(g). If we assume that the mutation rates are the same in the genes and the pseudogenes and that mutations occurring in a pseudogene do not affect the fitness of the organism, we can show that the fraction of mutations that are selectively neutral, fg, is equal to the ratio K(g)/K psi. Since advantageous mutations occur only very rarely, such that they do not contribute significantly to the rate of molecular evolution, the fraction of deleterious mutations that are subject to purifying selection is 1-fg. Therefore, the K(g)/K psi ratio can be used directly to estimate the intensity of purifying selection, thereby isolating its effects on the rate of evolution from those of mutation. We compared the selection intensities of 12 orthologous protein-coding pairs from humans and murids. As expected, the fraction of mutations that are subject to purifying selection is strongest in the second codon position and weakest in the third. Interestingly, the mean fractions of effectively neutral mutations in the third codon position were only 41% and 42% for murids and humans, respectively, indicating that many synonymous mutations are subject to selective constraint. In several orthologous genes, we found that the intensity of purifying selection is very different between murid and human orthologous genes. There was no statistically significant difference in overall intensity of purifying selection between humans and murids. Thus, purifying selection does not seem to be an important factor contributing to the observed differences in the rates of evolution between these two taxa.

Animals↗

Hearing preservation in acoustic neuroma surgery: the impact of different patient selection criteria.

OBJECTIVES/HYPOTHESIS: The aim of the present study was to assess whether applying the various selection criteria for hearing preservation surgery on the same group of patients with acoustic neuroma leads to significantly different numbers of patients being considered suitable for this kind of surgery. STUDY DESIGN: We used different selection criteria for hearing conservation surgery based on a range of studies in the published literature. We applied these criteria to a consecutive group of patients presenting to our unit with acoustic neuroma. We then calculated the numbers of patients deemed suitable for hearing preservation surgery as a function of these different selection criteria. METHODS: Studies with published selection criteria, total numbers of patients, and numbers of patients suitable for hearing preservation surgery were found in the literature. These selection criteria were applied to our patient data. A chi2 statistical analysis was used to assess whether applying different selection criteria to the same group of patients (the subjects of the present study) resulted in different numbers of patients suitable for hearing preservation surgery. RESULTS: The numbers of patients suitable for hearing preservation showed wide variation, ranging from 8 (10%) to 45 (56%) patients (of the total number of 80 patients in the present study). The chi2 statistical analysis revealed that the various selection criteria did have an effect on the numbers of patients suitable for hearing preservation surgery, and the statistical significance reached the level of P<.001. CONCLUSIONS: Different selection criteria lead to significantly different numbers of patients being considered suitable for hearing preservation surgery. Consensus and agreed selection criteria would help set patient expectations, refine candidate selection, and facilitate the comparison of outcomes across centers.

Chi-Square Distribution↗

Sexual selection and the risk of extinction in mammals.

Sexual selection is commonly envisaged as a force working in opposition to natural selection, because extravagant or exaggerated traits could apparently have never evolved via natural selection alone. There is good evidence that a selection load imposed by sexual selection may be eased experimentally by restricting the opportunity for it to operate. Sexual selection could therefore potentially play an important role in influencing the risk of extinction that a population faces, thereby contributing to the apparent selectivity of extinctions. Conversely, recent theory predicts that the likelihood of extinction may decrease when sexual selection is operating because it could accelerate the rate of adaptation in concert with natural selection. So far, comparative evidence (coming mostly from birds) has generally indicated support for the former scenario, but the question remains open. The aim of this study was therefore to examine whether the level of sexual selection (measured as residual testes mass and sexual size dimorphism) was related to the risk of extinction that mammals are currently experiencing. We found no evidence for a relationship between these factors, although our analyses may have been confounded by the possible dominating effect of contemporary anthropogenic factors.

Animals↗