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PubMed1981

Quantitation of genetic differences between Trypanosoma brucei gambiense, rhodesiense and brucei by restriction enzyme analysis of kinetoplast DNA.

We have compared a total of 44 recognition sites for 12 restriction endonucleases on the 20 kilobase pair maxi-circle of kinetoplast DNA from nine Trypanosoma brucei stocks, four which are known to be infective to man (tow 'gambiense' and two 'rhodesiense' variants). In addition to five polymorphic sites, these DNAs differ in the size of a 5 kilo-base pair region which is cleaved only by one of the restriction enzymes tested and which varies in size over 1.5 kilo-base pairs. Our analysis shows that the maxi-circle sequences of these stocks are very similar, the maximal calculated difference between any two being 3%. A relatively large difference was found between a rhodesiense stock from uganda and one from Zambia, confirming the distinction between northern and southern East African rhodesiense stocks found by analysis of enzyme polymorphisms (Gibson et al. (1980) Adv. Parasitol. 18, 175-246). The gambiense variants could not be identified by unique restriction site polymorphisms, but contained the smallest maxi-circle found thus far in T. Brucei. Our results indicate that T. brucei stocks infective and not infective to man are so closely related as to preclude their differentiation by analysis of kinetoplast DNA. This analysis is useful, however, in providing quantitative information about relatedness of stocks.

Animals↗
PubMed2003

Population variation in opsin expression in the bluefin killifish, Lucania goodei: a real-time PCR study.

Quantitative genetics have not been used in vision studies because of the difficulty of objectively measuring large numbers of individuals. Here, we examine the effectiveness of a molecular technique, real-time PCR, as an inference of visual components in the bluefin killifish, Lucania goodei, to determine whether there is population variation in opsin expression. Previous work has shown that spring animals possess a higher frequency of UV and violet cones and a lower frequency of yellow and red cones than swamp animals. Here, we found a good qualitative match between the population differences in opsin expression and those found previously in cone frequency. Spring animals expressed higher amounts of SWS1 and SWS2B opsins (which correspond to UV and violet photopigments) and lower amounts of RH2 and LWS opsins (which correspond to yellow and red photopigments) than swamp animals. The counterintuitive pattern between color pattern, lighting environment, and vision remains. Males with blue anal fins are more abundant in swamps where animals express fewer SWS1 and SWS2B opsins and where transmission of UV/blue wavelengths is low. Understanding this system requires quantitative genetic studies. Real-time PCR is an effective tool for studies requiring inferences of visual physiology in large numbers of individuals.

Animals↗
PubMed1982

Beef cattle breeding à la Jefferson.

?Even more than most disciplines in the Animal Sciences, quantitative genetics is dependent upon models. Models, by definition, are abstractions of reality. Invariably they require simplifying assumptions, which should be but sometimes are not clearly specified. One thesis of this article, illustrated by examples, is that many of the assumptions upon which animal breeding theory and practice are based are not valid. Some proportion of research resources should be devoted to challenging or verifying those assumptions and following up those areas of enquiry suggested by the outcome of such research. A further thesis is that the selection of topics and priorities for animal breeding research should be a matter of choice by individual scientists and should not be determined by steering committees or directed by administrative fiat. Hopefully, the resultant mutation, cross-fertilization, assortment, recombination and selection of ideas that would result would bestow upon our discipline higher fitness from multiple-peak epistasis, and minimal danger of extinction (or petrification) from over-specialization. A final thesis is that true creativity by research scientists should be nurtured and rewarded and that work in traditional areas of breeding and quantitative genetics should be continued-but done better.

Animals↗
PubMed1983

The genetics of quantitative plasma Lp(a): analysis of a large pedigree.

Likelihood analysis using the mixed model of quantitative plasma Lp(a) measurements on members of a large pedigree provided evidence that high levels of Lp(a) are inherited as a dominant major gene with polygenic background. The dominant allele frequency was estimated as 0.10. The major gene and polygenic components together accounted for 95% of the variation seen in the measurements. The major gene index and OBP plots, methods that do not allow for the presence of both components, favored the polygenic model over the major gene model as the mode of inheritance. No association was found with any of the lipids, lipoproteins or apolipoproteins considered.

Female↗
PubMed2002

The evolution of trade-offs: testing predictions on response to selection and environmental variation.

The concept of phenotypic trade-offs is a central element in evolutionary theory. In general, phenotypic models assume a fixed trade-off function, whereas quantitative genetic theory predicts that the trade-off function will change as a result of selection. For a linear trade-off function selection will readily change the intercept but will have to be relatively stronger to change the slope. We test these predictions by examining the trade-off between fecundity and flight capability, as measured by dorso-longitudinal muscle mass, in four different populations of the sand cricket, Gryllus firmus. Three populations were recently derived from the wild, and the fourth had been in the laboratory for 19 years. We hypothesized that the laboratory population had most likely undergone more and different selection from the three wild populations and therefore should differ from these in respect to both slope and intercept. Because of geographic variation in selection, we predicted a general difference in intercept among the four populations. We further tested the hypothesis that this intercept will be correlated with proportion macropterous and that this relationship will itself vary with environmental conditions experienced during both the nymphal and adult period. Observed variation in the phenotypic trade-off was consistent with the predictions of the quantitative genetic model. These results point to the importance of modeling trade-offs as dynamic rather than static relationships. We discuss how phenotypic models can incorporate such variation. The phenotypic trade-off between fecundity and dorso-longitudinal muscle mass is determined in part by variation in body size, illustrating the necessity of considering trade-offs to be multi factorial rather than simply bivariate relationships.

Animals↗
PubMed1983

Genetically controlled quantitative variation of ornithine transcarbamylase in the chick kidney.

This experiment was made to show that the marked variation in ornithine transcarbamylase (OTC) activity observed within a chicken breed or among breeds is due to quantitative changes, not qualitative ones. The enzyme was partially purified from three different chicken breeds, the White Leghorn B line, the Cochin Bantam breed, and a commercial line named "G," by the following steps: (i) extraction of OTC with Triton X-100 and cetyl-trimethylammonium bromide, (ii) heating, and (iii) salting-out column chromatography. No difference was shown immunologically, enzymologically, or physicochemically among the partially purified OTCs. The enzyme amount determined using anti-bovine OTC antiserum was related linearly to the enzyme activity either from the same chicken breed or from different breeds. These results suggest that marked variation in OTC activity reflects variation in the amount of enzyme synthesized in the kidney, and this is controlled by regulatory genes encoded on an autosome, not the structural gene.

Animals↗
PubMed1995

Spontaneous mutation rate of modifiers of metabolism in Drosophila.

A rigorous test of our understanding of evolutionary quantitative genetics would be to predict accurately the equilibrium distribution of a character from empirical estimates of the relevant parameters in a mutation-selection-drift balance model. An aspect of this problem that is amenable to experimental analysis is the distribution of the effects of new mutations. This study quantifies the divergence among 200 lines of Drosophila melanogaster as they accumulated mutations on the second chromosome and estimates the rate of increase of variation and covariation in metabolic characters. Amounts of stored triacylglycerol and glycogen and the activities of a series of 12 metabolic enzymes were assayed in a subset of lines at generations 0, 11, 22, 33 and 44. Analyses of the rate of increase in the among-line variance in each trait allowed estimation of Vm/Ve, the ratio of among-line variance added per generation to the environmental variance. Values of Vm/Ve for the second chromosome ranged from 0.0004 to 0.0289 per generation. Six of the 16 characters showed significant departure from a normal distribution, and several lines exhibited large changes in more than one character. The covariance of pairs of traits also was partitioned into a within-line component (environmental covariance, Cov(e)) and an among-line component (mutational covariance, Covm). Both variances and covariance among lines increased over time, as assessed by linear regression, whereas environmental covariance showed no such trend. Results indicate that the quantitative genetic parameters describing the variation in metabolic traits are similar to those of other continuous characters.

Analysis of Variance↗
PubMed1987

Lp(a) glycoprotein phenotypes. Inheritance and relation to Lp(a)-lipoprotein concentrations in plasma.

The Lp(a) lipoprotein represents a quantitative genetic trait. It contains two different polypeptide chains, the Lp(a) glycoprotein and apo B-100. We have demonstrated the Lp(a) glycoprotein directly in human sera by sodium dodecyl sulfate-gel electrophoresis under reducing conditions after immunoblotting using anti-Lp(a) serum and have observed inter- and intraindividual size heterogeneity of the glycoprotein with apparent molecular weights ranging from approximately 400,000-700,000 D. According to their relative mobilities compared with apo B-100 Lp(a) patterns were categorized into phenotypes F (faster than apo B-100), B (similar to apo B-100), S1, S2, S3, and S4 (all slower than apo B-100), and into the respective double-band phenotypes. Results from neuraminidase treatment of isolated Lp(a) glycoprotein indicate that the phenotypic differences do not reside in the sialic acid moiety of the glycoprotein. Family studies are compatible with the concept that Lp(a) glycoprotein phenotypes are controlled by a series of autosomal alleles (Lp[a]F, Lp[a]B, Lp[a]S1, Lp[a]S2, Lp[a]S3, Lp[a]S4, and Lp[a]0) at a single locus. Comparison of Lp(a) plasma concentrations in different phenotypes revealed a highly significant association of phenotype with concentration. Phenotypes B, S1, and S2 are associated with high and phenotypes S3 and S4 with low Lp(a) concentrations. This suggests that the same gene locus is involved in determining Lp(a) glycoprotein phenotypes and Lp(a) lipoprotein concentrations in plasma and is the first indication for structural differences underlying the quantitative genetic Lp(a)-trait.

Apolipoproteins B↗
PubMed1997

Physicochemical basis of the universal genetic codes--quantitative analysis.

Quantitative mathematic models have been developed to correlate the fragment hydrophobicity contribution constants (faa) of 20 amino acids with the physicochemical properties (mu, Hb, and square root of MW) of the four bases (U, A, C, G) of the codons, or those of the anticodons. Using the general equation faa = a mu 1 + b mu 2 + c mu 3 + d square root of MW1 + e square root of MW2 + f square root of MW3 + g Hb1 + h Hb2 + i Hb3 + j, where 1, 2, 3 refer to the first, the second and the third base respectively, correlation coefficient of about 0.82 can be obtained for all 20 amino acids coded by 61 different triplet codes. These correlations are statistically highly significant, even though they do not take into account the involvement of various factors and peptidyl transferases. Furthermore, the reasons for the three stop codons are revealed. The graphic presentation of the codons and the amino acids coded separates the acidic and the basic, the aromatic and the heterocyclic amino acids into different quadrants of an octagon. This is in agreement with the ancient Chinese Ying-Yang theory embedded in the classical I-Ching.

Genetic Code↗
PubMed1989

Composition and genetic variability of proteins from nuclear fractions of mouse (DBA/2J and C57BL/6J) liver and brain.

Proteins from nuclear plasma of mouse liver and brain and from the nuclear membranes of mouse liver were separated by two-dimensional electrophoresis. For the purpose of comparison, liver cytosol proteins were also investigated. The protein samples were prepared from two inbred strains of the mouse (DBA/2J, C57BL/6J) and their hybrids. The patterns obtained were compared with regard to the composition and genetic variability (qualitative and quantitative variants) of proteins from different nuclear fractions and organs. The percentage (greater than 30%) of spots common to different organs (liver, brain), but from the same nuclear fraction (plasma) was greater than the percentage (less than 20%) of spots common to different cell and nuclear fractions (cytosol, nuclear plasma and nuclear membranes) of the same organ (liver). Quantitative genetic variants occurred much more frequently than qualitative genetic variants (5.1% vs. 0.2%; liver nuclear plasma). The incidence of genetic variants was much higher in liver (5.3%) than in brains (0.0%), and higher in solubilized nuclear proteins (5.3%) than in structure-bound nuclear proteins (2.1%).

Animals↗
PubMed2005

Prediction of effects of genetic drift on variance components under a general model of epistasis.

For a model of diallelic loci with arbitrary epistasis, Barton and Turelli [2004. Effects of genetic drift on variance components under a general model of epistasis. Evolution 58, 2111-2132] gave results for variances among and within replicate lines obtained by inbreeding without selection. Here, we discuss the relation between their population genetic methods and classical quantitative genetic arguments. In particular, we consider the case of no dominance using classical identity by descent arguments, which generalizes their results from two alleles to multiple alleles. To clarify the connections between the alternative methods, we obtain the same results using an intermediate method, which explicitly identifies the statistical effects of sets of loci. We also discuss the effects of population bottlenecks on covariances among relatives.

Epistasis, Genetic↗
PubMed2004

Neo-Lamarckian medicine.

Darwinian medicine is the treatment of disease based on evolution. The underlying assumption of Darwinian medicine is that traits are coded by genes, which are often assumed to be sequences of DNA nucleotides. The quantitative genetic ramification of this perspective is that traits, including disease susceptibility, are either caused by genes or by the environment, with genotype-by-environment interactions usually considered statistical artefacts. I emphasize also examining those epigenetic signals that can be altered by environmental perturbations and then transmitted to subsequent generations. Although seldom studied, environmentally-alterable meiotically-heritable epigenetic signals exist and provide a mechanism underlying genotype-by-environment interactions. Environment of a parent can affect its descendants by heritably altering epigenetic signals. Neo-Lamarckian medicine is the application of these evolutionary epigenetic notions to diseases and could have enormous public health and environmental policy implications. If industrial contaminants adversely affect organisms by meiotically-heritably altering their epigenetic signals, then cleaning up these contaminants will not remedy the problem. Once contaminants have adversely altered an individual's epigenetic signals, this harm will be transmitted to future generations even if they are not exposed to the contaminant. Exposure to environmental shocks such as free radicals or other carcinogens can alter cytosine methylation patterns on regulatory genes. This can cause cancer by up-regulating genes for cell division or by down-regulating tumour suppressor genes. Environmentally-alterable meiotically-heritable epigenetic signals could also underlie other diseases, such as diabetes, Prader-Willi syndrome, and many complex diseases. If environmentally-altered meiotically-heritable epigenetic effects are widespread - which is an important open empirical question - they have the potential to alter paradigmatic views of evolutionary medicine and the putative dichotomy of nature versus nurture. Neo-Lamarckian medicine would thereby shift emphasis from cure to prevention of diseases.

Animals↗
PubMed2002

The genetics of maternal care: direct and indirect genetic effects on phenotype in the dung beetle Onthophagus taurus.

While theoretical models of the evolution of parental care are based on the assumption of underlying genetic variance, surprisingly few quantitative genetic studies of this life-history trait exist. Estimation of the degree of genetic variance in parental care is important because it can be a significant source of maternal effects, which, if genetically based, represent indirect genetic effects. A major prediction of indirect genetic effect theory is that traits without heritable variation can evolve because of the heritable environmental variation that indirect genetic effects provide. In the dung beetle, Onthophagus taurus, females provide care to offspring by provisioning a brood mass. The size of the brood mass has pronounced effects on offspring phenotype. Using a half-sib breeding design we show that the weight of the brood mass females produce exhibits significant levels of additive genetic variance due to sires. However, variance caused by dams is considerably larger, demonstrating that maternal effects are also important. Body size exhibited low additive genetic variance. However, body size exerts a strong maternal influence on the weight of brood masses produced, accounting for 22% of the nongenetic variance in offspring body size. Maternal body size also influenced the number of offspring produced but there was no genetic variance for this trait. Offspring body size and brood mass weight exhibited positive genetic and phenotypic correlations. We conclude that both indirect genetic effects, via maternal care, and nongenetic maternal effects, via female size, play important roles in the evolution of phenotype in this species.

Analysis of Variance↗
PubMed2006

Quantitative trait loci analysis of primary cell wall composition in Arabidopsis.

Quantitative trait loci (QTL) analysis was used to identify genes underlying natural variation in primary cell wall composition in Arabidopsis (Arabidopsis thaliana). The cell walls of dark-grown seedlings of a Bay-0 x Shahdara recombinant inbred line population were analyzed using three miniaturized global cell wall fingerprinting techniques: monosaccharide composition analysis by gas chromatography, xyloglucan oligosaccharide mass profiling, and whole-wall Fourier-transform infrared microspectroscopy. Heritable variation and transgression were observed for the arabinose-rhamnose ratio, xyloglucan side-chain composition (including O-acetylation levels), and absorbance for a subset of Fourier-transform infrared wavenumbers. In total, 33 QTL, corresponding to at least 11 different loci controlling dark-grown hypocotyl length, pectin composition, and levels of xyloglucan fucosylation and O-acetylation, were identified. One major QTL, accounting for 51% of the variation in the arabinose-rhamnose ratio, affected the number of arabinan side chains presumably attached to the pectic polysaccharide rhamnogalacturonan I, paving the way to positional cloning of the first gene underlying natural variation in pectin structure. Several QTL were found to be colocalized, which may have implications for the regulation of xyloglucan metabolism. These results demonstrate the feasibility of combining fingerprinting techniques, natural variation, and quantitative genetics to gain original insight into the molecular mechanisms underlying the structure and metabolism of cell wall polysaccharides.

Arabidopsis↗
PubMedDate not supplied

Adolescent, parent, and observer perceptions of parenting: genetic and environmental influences on shared and distinct perceptions.

Agreement among reporters on features of family life, whether family members or outside observers, is considered to be low. This study, which involved a national sample of 720 families comprised of identical and fraternal twins, full siblings, half siblings, and biologically unrelated stepsiblings, examined the issue of low interrater agreement by decomposing the common and unique variance among parent, child, and observer reports of parenting behaviors (warmth and negativity) into genetic and environmental factors. Quantitative genetic analyses were employed to decompose the "Social" level of perception (common variance among parents, children, observers), the level of "Family" subculture (common variance only among parents and children), and the unique "Individual" level into genetic and environmental components. It was predicted that genetic factors would account for substantial portions of the variance at the Social and Family levels; nonshared environmental factors were expected to influence variance unique to child reports; and shared environmental factors were expected to influence variance unique to parent reports. A second and related aim of the study was to examine the subjective-objective dimension of genetic effects on measures of the environment. Results of model-fitting analyses generally supported the predictions for parental warmth and negativity at the Family and Individual levels. At the Social level, genetic factors were predominant for parental negativity and shared environmental factors for parental warmth. The findings are discussed in terms of genetically influenced child effects on parenting and methodological difficulties in constructing latent variables.

Adolescent↗