Genetic variation in adrenal structure: quantitative measurements on the cortex and medulla in hybrid mice.
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Adrenal Glands↗
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Results for “quantitative genetic variation”
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Genetic variation in BEACON influences quantitative variation in metabolic syndrome-related phenotypes.
The BEACON gene (also known as UBL5) was identified as differentially expressed between lean and obese Psammomys obesus, a polygenic animal model of obesity, type 2 diabetes, and dyslipidemia. The human homologue of BEACON is located on chromosome 19p, a region likely to contain genes affecting metabolic syndrome-related quantitative traits as established by linkage studies. To assess whether the human BEACON gene may be involved in influencing these traits, we exhaustively analyzed the complete gene for genetic variation in 40 unrelated individuals and identified four variants (three novel). The two more common variants were tested for association with a number of quantitative metabolic syndrome-related traits in two large cohorts of unrelated individuals. Significant associations were found between these variants and fat mass (P = 0.026), percentage of fat (P = 0.001), and waist-to-hip ratio (P = 0.031). The same variants were also associated with total cholesterol (P = 0.024), LDL cholesterol (P = 0.019), triglycerides (P = 0.006), and postglucose load insulin levels (P = 0.018). Multivariate analysis of these correlated phenotypes also yielded a highly significant association (P = 0.0004), suggesting that BEACON may influence phenotypic variation in metabolic syndrome-related traits.
Adult↗
The quantitative genetics of floral trait variation in Lobelia: potential constraints on adaptive evolution.
Although pollinator-mediated natural selection has been measured on many floral traits and in many species, the extent to which selection is constrained from producing optimal floral phenotypes is less frequently studied. In particular, negative correlations between flower size and flower number are hypothesized to be a major constraint on the evolution of floral displays, yet few empirical studies have documented such a trade-off. To determine the potential for genetic constraints on the adaptive evolution of floral displays, I estimated the quantitative genetic basis of floral trait variation in two populations of Lobelia siphilitica. Restricted maximum likelihood (REML) analyses of greenhouse-grown half-sib families were used to estimate genetic variances and covariances for flower number and six measures of flower size. There was significant genetic variation for all seven floral traits in both populations. Flower number was negatively genetically correlated with four measures of flower size in one population and three measures in the other. When the genetic variance-covariance matrices were combined with field estimates of phenotypic selection gradients, the predicted multivariate evolutionary response was less than or opposite in sign to the selection gradient for flower number and five of six measures of flower size, suggesting genetic constraints on the evolution of these traits. More generally, my results indicate that the adaptive evolution of floral displays can be constrained by trade-offs between flower size and number, as has been assumed by many theoretical models of floral evolution.
Adaptation, Biological↗
Comparing evolvability and variability of quantitative traits.
There are two distinct reasons for making comparisons of genetic variation for quantitative characters. The first is to compare evolvabilities, or ability to respond to selection, and the second is to make inferences about the forces that maintain genetic variability. Measures of variation that are standardized by the trait mean, such as the additive genetic coefficient of variation, are appropriate for both purposes. Variation has usually been compared as narrow sense heritabilities, but this is almost always an inappropriate comparative measure of evolvability and variability. Coefficients of variation were calculated from 842 estimates of trait means, variances and heritabilities in the literature. Traits closely related to fitness have higher additive genetic and nongenetic variability by the coefficient of variation criterion than characters under weak selection. This is the reverse of the accepted conclusion based on comparisons of heritability. The low heritability of fitness components is best explained by their high residual variation. The high additive genetic and residual variability of fitness traits might be explained by the great number of genetic and environmental events they are affected by, or by a lack of stabilizing selection to reduce their phenotypic variance. Over one-third of the quantitative genetics papers reviewed did not report trait means or variances. Researchers should always report these statistics, so that measures of variation appropriate to a variety of situations may be calculated.
Animals↗
Quantitative trait loci mapped to single-nucleotide resolution in yeast.
Identifying the genetic variation underlying quantitative trait loci remains problematic. Consequently, our molecular understanding of genetically complex, quantitative traits is limited. To address this issue directly, we mapped three quantitative trait loci that control yeast sporulation efficiency to single-nucleotide resolution in a noncoding regulatory region (RME1) and to two missense mutations (TAO3 and MKT1). For each quantitative trait locus, the responsible polymorphism is rare among a diverse set of 13 yeast strains, suggestive of genetic heterogeneity in the control of yeast sporulation. Additionally, under optimal conditions, we reconstituted approximately 92% of the sporulation efficiency difference between the two genetically distinct parents by engineering three nucleotide changes in the appropriate yeast genome. Our results provide the highest resolution to date of the molecular basis of a quantitative trait, showing that the interaction of a few genetic variants can have a profound phenotypic effect.
Adaptor Proteins, Signal Transducing↗
Genetic control of the quantitative variation of erythrocytic glyoxalase-1(GLO-1) in mice.
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Animals↗
Phenotypic variation and natural selection at catsup, a pleiotropic quantitative trait gene in Drosophila.
Quantitative traits are shaped by networks of pleiotropic genes . To understand the mechanisms that maintain genetic variation for quantitative traits in natural populations and to predict responses to artificial and natural selection, we must evaluate pleiotropic effects of underlying quantitative trait genes and define functional allelic variation at the level of quantitative trait nucleotides (QTNs). Catecholamines up (Catsup), which encodes a negative regulator of tyrosine hydroxylase , the rate-limiting step in the synthesis of the neurotransmitter dopamine, is a pleiotropic quantitative trait gene in Drosophila melanogaster. We used association mapping to determine whether the same or different QTNs at Catsup are associated with naturally occurring variation in multiple quantitative traits. We sequenced 169 Catsup alleles from a single population and detected 33 polymorphisms with little linkage disequilibrium (LD). Different molecular polymorphisms in Catsup are independently associated with variation in longevity, locomotor behavior, and sensory bristle number. Most of these polymorphisms are potentially functional variants in protein coding regions, have large effects, and are not common. Thus, Catsup is a pleiotropic quantitative trait gene, but individual QTNs do not have pleiotropic effects. Molecular population genetic analyses of Catsup sequences are consistent with balancing selection maintaining multiple functional polymorphisms.
Animals↗
Genetic variation for oviposition behavior in Drosophila melanogaster. I. Quantitative genetic analysis of insertion behavior.
The genetic basis of egg insertion behavior was analyzed in two Drosophila melanogaster strains (N and E strain), which were homozygous for the Slow allele of the alcohol dehydrogenase locus. The E strain had been selected for increased tolerance to ethanol. This study originated from the observation that nearly all of the eggs laid by females of the E strain were inserted, while in the control strain (N strain) which was kept on regular food, considerable variation for egg insertion occurred. Crosses between the E and the N strains were made, and quantitative genetic tests were performed. It was shown that the inheritance of egg insertion is polygenic, some of the genes are probably sex linked, and in-laying is partly dominant over on-laying. The heritability of the trait, derived from mother-daughter regression analysis, was .59 +/- .18. The repeatability was high. Bidirectional selection in the E strain was unsuccessful, but an asymmetrical response to selection was obtained in the N strain and in lines derived from crosses between the N and the E strains. Selection for in-laying was more successful than for on-laying. The realized heritability in the former lines was .35 +/- .10.
Alcohol Dehydrogenase↗
Genetic differentiation of quantitative characters between populations or species. II: Optimal selection in infinite populations.
Using a new and more general genetic model called the discrete-allelic state model and assuming discrete-time process, the evolutionary changes of genetic variation of quantitative characters, controlled by a few loci, within and between populations during the process of genetic differentiation of populations or species, are studied under the effects of mutation and centripetal selection in infinitely large populations. While in a finite population and ignoring selection, the rate of change of additive genetic variance depends on mutation and effective population size, traits under optimal selection in infinitely large populations go through the dynamics of a rather complicated form depending on the relative intensities of selection and mutation. When a population, which has reached steady-state by mutation-selection balance, splits into two, in one of which the same optimum genotype holds but in the other the optimum shifts a few standard deviations away from the original optimum, the corresponding daughter population starts differentiating from its sister population by favouring certain class of mutant alleles and discarding others which were originally favoured. During this process of turn over of genes, both the intra- and inter-populational variances undergo a complicated change, and the ratio of the former to the latter is a non-linear function of time of divergence. This pattern is qualitatively very different from the case when selection is absent. The intra-population distribution of genotypic values, during this transition, is shown to deviate considerably from normality. The presence of linkage seems to retard the accumulation of intra-populational genetic variance. The implications of these results are discussed in comparison with the earlier findings of evolutionary models of quantitative traits.
Alleles↗
Stress temperatures and quantitative variation in Drosophila melanogaster.
Using an isofemale line analysis, we analysed the consequences of extreme rearing temperatures for genetic variation in quantitative characters in Drosophila melanogaster. Three types of characters were used: life history (viability and developmental time), body size (thorax length and wing length) and meristic (number of sternopleural chaetae and number of arista branches). Phenotypic variation significantly increased under stress conditions in all morphological characters studied; for viability, it increased at the low stress temperature. Genetic variation, measured by the coefficient of intraclass correlation, was generally higher at both low and high stress temperatures for thorax length and sternopleural chaeta number. For wing length and viability, genetic variation was higher at the low extreme temperature. No consistent trend was found for genetic variation in arista branch number and developmental time. Our results agree with the hypothesis that genetic variation is increased in stressful environments. A possible mechanism underlying this phenomenon is briefly discussed.
Animals↗
Metabolic control analysis as a mechanism that conserves genetic variance during advanced cycle breeding.
The recycling of elite inbreds (i.e., advanced cycle breeding) has led to significant genetic gains but also to a narrow gene pool in plant breeding programs. Sustained yield improvements in many crops have suggested that genetic variance is not depleted at a rate predicted by an additive genetic model. Unlike the additive model in classical quantitative genetic theory, metabolic control analysis relates the variation in a biochemical process with the genetic variation in a quantitative trait. Our objective was to determine whether metabolic control analysis is a mechanism that slows the decrease in genetic variance during advanced cycle breeding. Three cycles of advanced cycle breeding were simulated with 10, 50, or 100 quantitative trait loci (QTL) controlling a trait. In metabolic control analysis, these QTL coded for enzymes involved in a linear metabolic pathway that converted a substrate into a product. In the absence of selection, both the additive model and the metabolic control analysis model led to about a 50% reduction in genetic variance from cycle to cycle. With selection, the additive model led to a 50-58% reduction in genetic variance, but the metabolic control analysis model generally led to only a 12-54% reduction. We suggest selection in a metabolic control analysis model as a mechanism that slows the decrease in genetic variance during advanced cycle breeding. This conservation of genetic variance would allow breeders to achieve genetic gains for a longer period than expected under the additive model.
Conserved Sequence↗
The association of DNA sequence variation at the MAOA genetic locus with quantitative behavioural traits in normal males.
Monoamine oxidase A (MAOA) catalyses the oxidative deamination of biogenic amines including neurotransmitters, mainly norepinephrine and serotonin in the brain and peripheral tissues. A nonsense mutation in the gene was shown to be involved in a rare X-linked behavioural syndrome, which includes impaired impulse control, aggression and borderline mental retardation (Brunner syndrome). Several recent studies have shown the association of genetic variation of a VNTR in the gene promoter with various pathological behavioural traits. In the present study the association of MAOA genetic variation with a large set of quantitative behavioural traits in normal individuals has been examined. DNA samples from 421 unrelated males were genotyped for 14 SNPs and for the promoter VNTR at the MAOA locus. An additional 16 SNPs were genotyped at apparently neutral loci across the X chromosome to serve as a genomic control for possible false positive associations due to population structure. Behavioural traits were measured using the NEO psychometric questionnaire, which is based on a 5-axis model of personality, and consists of 30 different quantitative traits. There was a robust association of the A2 ("straightforwardness") facet with common allelic variants at the promoter VNTR. Most of the tested traits were not associated with the VNTR despite reasonable power, thus demonstrating that the VNTR influence on quantitative behavioural traits in normal males may be very specific. In contrast, several traits of the C ("conscientiousness") axis were associated with less common SNP-defined haplotypes. Hence, it appears that common genetic variation at the VNTR contributes to the behavioural attribute of "straightforwardness", while rare haplotypes defined by SNPs downstream of the transcription start site may contribute to "conscientiousness". This study is used to address the validation, interpretation and limitation of genetic association studies of quantitative behavioural traits.
Black or African American↗
Qualitative and quantitative effects of APOE genetic variation on plasma C-reactive protein, LDL-cholesterol, and apoE protein.
A genetic link between lipid metabolism and inflammation has been suggested by the association between variation in the APOE gene and plasma C-reactive protein (CRP). This association was confirmed among Caucasians and extended to an African-American population, and the well-known associations of APOE variation with LDL-C and apoE protein were also observed. While eight common variants in APOE were examined, the association with CRP involved primarily the two nonsynonymous SNPs that define the major epsilon2, epsilon3, and epsilon4 alleles. In particular, the strongest link involved lower CRP levels among carriers of the APOE epsilon4 allele that also contributes to the risk of cardiovascular and Alzheimer's diseases as well as to higher lipid levels. A lesser effect was characterized by lower CRP levels among carriers of a subtype of the epsilon3 allele. The magnitude of the association with plasma CRP was at least as great as the effect of variation in the CRP gene itself. Quantitative analysis suggested that the effect on CRP is more likely a consequence of intrinsic functional differences among the E2, E3, and E4 apoE proteins than different levels of apoE protein or LDL-C in the plasma.
Alzheimer Disease↗
Natural allelic variation at seed size loci in relation to other life history traits of Arabidopsis thaliana.
We have analyzed two Arabidopsis strains differing in the mean seed size and seed number they produced. The accession Cape Verde Islands (Cvi) yielded on average about 40% fewer seeds than the laboratory strain Landsberg erecta (Ler), but Cvi seeds were almost twice as heavy. Maternal and nonmaternal genetic factors were involved in the seed size variation, and interactions between both types of factors presumably occurred. The Ler/Cvi seed size difference increased through seed development from ovule maturation until seed desiccation, suggesting that multiple processes of seed development were affected. In addition, it involved changes in the final cell number and cell size of the seed coat and the embryo. Cell number variation was controlled mainly by maternal factors, whereas nonmaternal allelic variation mostly affected cell size. By using a recombinant inbred line population derived from Ler and Cvi, we mapped quantitative trait loci (QTLs) affecting 12 life history traits related to seed size, fruit size, seed number, and plant resources. Five of the seed size QTLs colocated with QTLs for other traits, suggesting that they control seed size via maternal components affecting ovule number and/or carpel development, ovule development, or reproductive resource allocation in the mother plant. The six remaining putative seed size QTLs did not show a significant effect on any other trait, suggesting that this allelic variation may be involved specifically in seed development processes.
Alleles↗
Selective turnover and shedding of H-2K and H-2D antigens is controlled by the major histocompatibility complex. Implications for H-2-restricted recognition.
Lactoperoxidase-catalyzed cell surface radioiodination and incorporation of [3H]-leucine were employed to radiolabel H-2K and H-2D antigens of murine spleen cells. The fate of H-2 antigens was monitored by in vitro culture of labeled cells and isolation of labeled antigens from detergent lysates of the cells and culture supernates obtained at different times during culture. H-2Kk antigens were found to be rapidly turned over and shed by CBA/J cells, whereas the turnover of H-2Dk antigens was extremely slow. Analysis of the membrane residence times of surface-labeled H-2K and H-2D antigens on spleen cells from various H-2-congenic and -recombinant strains demonstrated variations in the shedding rates of H-2K and H-2D antigens, which were controlled by genes mapping in the major histocompatibility complex. These variations show a striking correlation with published, genetically controlled quantitative variations in the cytotoxic response of T lymphocytes to chemically modified or virus-infected syngeneic cells.
Animals↗
Quantitative genetics of relative organ weight variation in captive baboons.
Anthropoid phylogeny has been characterized by dramatic increases in relative brain size. Given the importance of genetic mechanisms in evolution, quantitative genetic analyses of the biological concomitants of relative brain size variation should greatly augment our understanding of this phylogenetic phenomenon. In humans the brain is often linked metabolically with three other organs--heart, kidneys, and liver--that together account for most of the total basal metabolic rate. Because the weights of these four organs are proportional to their individual organ metabolic rates, their summed weights have been used by previous researchers as a proxy measure for their composite organ metabolic rate. We have conducted a quantitative genetic analysis of variation in the relative weights of these four organs in a population of captive baboons from the Southwest Foundation for Biomedical Research. These analyses were performed on loge-transformed organ weights available for 601 animals, 307 of which were assigned to 25 pedigrees containing 2 to 49 members; the remaining 294 animals were treated as independent individuals. Moderate but statistically significant (p < 0.005) heritabilities were estimated for all four organ weights: h2brain = 0.409 +/- 0.147, h2heart = 0.386 +/- 0.184, h2kidneys = 0.468 +/- 0.152, and h2liver = 0.600 +/- 0.160. Significant (p < 0.05) additive genetic correlations were estimated between brain and liver weights (rho G = 0.568) and between liver and kidney weights (rho G = 0.858). Significant (p < 0.05) environmental correlations were identified for heart and kidney weights (rho E = 0.551) and for liver and kidney weights (rho E = 0.684). Our results clearly demonstrate that the four organ weights have substantial heritable components that, because of their similar magnitudes, are probably equally susceptible to selection. However, the patterns of intercorrelation revealed by our analyses of the genetic and environmental correlation matrices indicate that, of the four organs composing the proxy measure of organ metabolic rate, only the liver and the kidneys are likely to exhibit correlated responses to selection for increased relative brain size such as that observed in the anthropoid fossil record.
Analysis of Variance↗
Quantitative genetic variability maintained by mutation-stabilizing selection balance: sampling variation and response to subsequent directional selection.
A model of genetic variation of a quantitative character subject to the simultaneous effects of mutation, selection and drift is investigated. Predictions are obtained for the variance of the genetic variance among independent lines at equilibrium with stabilizing selection. These indicate that the coefficient of variation of the genetic variance among lines is relatively insensitive to the strength of stabilizing selection on the character. The effects on the genetic variance of a change of mode of selection from stabilizing to directional selection are investigated. This is intended to model directional selection of a character in a sample of individuals from a natural or long-established cage population. The pattern of change of variance from directional selection is strongly influenced by the strengths of selection at individual loci in relation to effective population size before and after the change of regime. Patterns of change of variance and selection responses from Monte Carlo simulation are compared to selection responses observed in experiments. These indicate that changes in variance with directional selection are not very different from those due to drift alone in the experiments, and do not necessarily give information on the presence of stabilizing selection or its strength.
Gene Frequency↗
Selection with recurrent backcrossing to develop congenic lines for quantitative trait loci analysis.
SEWALL WRIGHT suggested that genes of large effect on a quantitative trait could be isolated by recurrent backcrossing with selection on the trait. Loci [quantitative trait loci (QTL)] at which the recurrent and nonrecurrent lines have genes of different large effect on the trait would remain segregating, while other loci would become fixed for the gene carried by the recurrent parent. If the recurrent line is inbred and the backcrossing and selection is conducted in a series of replicate lines, in each of which only one backcross parent is selected for each generation, the lines will become congenic to the recurrent parent except for the QTL of large effect and closely linked regions of the genome, and these regions can be identified using a dense set of markers that differ between the parental lines. Such lines would be particularly valuable for subsequent fine-scale mapping and gene cloning; but by chance, even QTL of large effect will be lost from some lines. The probability that QTL of specified effect remain segregating is computed as a function of its effect on the trait, the intensity of selection, and the number of generations of backcrossing. Analytical formulas are given for one or two loci, and simulation is used for more. It is shown that the method could have substantial discriminating ability and thus potential practical value.
Chromosome Mapping↗