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Ontogeny in the family.

When ontogeny takes place in a family, and parents provide essential resources for development, the parents become an environmental component to the development of a wide range of offspring traits. Because differences among parents may partly reflect genetic variation, this environmental component contains genes and may itself evolve. Also, when offspring play an active role in family interactions, offspring become a social environmental component to parents, affecting their behavior in turn, which potentially results in reciprocal social selection. Thus, an evolutionary process of coadaptation to family life, additionally driven by conflicts of interests, may have shaped the expression and development patterns underlying infant behaviors. The complex genetics arising from family interactions can be formalized by extending standard quantitative genetic models. These models demonstrate how the explicit consideration of the family environment can profoundly alter both the expression and evolutionary response to selection of behaviors involved in family interactions. Behavioral genetic studies have begun to unravel the complex genetics underlying infant solicitation behaviors and parental provisioning, although many focus on one side of the interaction. A genetic analysis incorporating interactions among family members explicitly may be critical because the genes underlying the expression of parental provisioning indirectly affect offspring behaviors, and vice versa.

Child↗

The longitudinal relationship between processing speed and cognitive ability: genetic and environmental influences.

Goals of the present study were to investigate the relationship between age changes in speed and cognition and the genetic and environmental influences on that relationship. Latent growth models and quantitative genetic methods were applied to data from the Swedish Adoption/Twin Study of Aging. The sample included 778 individuals from both complete and incomplete twin pairs who participated in at least 1 of 4 testing occasions over a 13-year-period. Four factors were constructed from 11 cognitive measures: verbal, spatial, memory, and processing speed. Results indicate that for measures of fluid abilities, the explanatory value of processing speed is paramount for both mean cognitive performance and acceleration with age. A significant proportion of the genetic influences on cognitive ability arose from genetic factors affecting processing speed. For measures of fluid abilities, it is not the linear age changes but the accelerating age changes in cognition that share genetic variance with processing speed.

Aged↗

Longitudinal change in memory performance associated with HTR2A polymorphism.

We present a fresh approach to evaluating association with candidate genes and cognitive change by testing association for parameters describing individual growth curves from twins. Moderate genetic influences on memory in aging adults has been shown in quantitative genetic studies. A recently reported, association of a HTR2A polymorphism with episodic memory in young unrelated adults led us to investigate the association between a nearby polymorphism and longitudinal memory performance in the Swedish Adoption/Twin Study of Aging (SATSA). Analysis of growth curve parameters suggests that both how well individuals perform on figural memory at age 65 years and nonlinear change in figural memory performance across age are associated with HTR2A. Individuals with two copies of the common G allele demonstrated higher figural memory performance longitudinally than those with the less frequent A allele, with performance trajectories differing by 2-6% per year. These findings imply a role for the 5-HT2A serotonin receptor on the formation of episodic memories in older adults.

Age Distribution↗

Genetic and environmental interrelations between measurements of thyroid function in a healthy Danish twin population.

Serum thyrotropin (TSH), free thyroxine (T4), and free triiodothyronine (T3) levels illustrate the thyroid function set point, but the interrelations between these have never been characterized in detail. The aim of this study was to examine the associations between TSH and thyroid hormone levels in healthy euthyroid twins and to determine the extent to which the same genes influence more than one of these biochemical traits; 1,380 healthy euthyroid Danish twins (284 monozygotic, 286 dizygotic, 120 opposite-sex twin pairs) were recruited. Genetic and environmental associations between thyroid function measurements were examined using quantitative genetic modeling. In bivariate genetic models, the phenotypic relation between two measurements was divided into genetic and environmental correlations. Free T4 and free T3 levels were positively correlated (r=0.32, P<0.0001). The genetic correlation between serum free T4 and free T3 levels was rg=0.25 (95% CI 0.14-0.35), suggesting that a set of common genes affect both phenotypes (pleiotropy). The correlation between the environmental effects was re=0.41 (0.32-0.50). From this we calculated that the proportion of the correlation between free T4 and free T3 levels mediated by common genetic factors was 48%. Only 7% of the genetic component of serum free T3 levels is shared with serum free T4. Serum TSH and thyroid hormone levels did not share any genetic influences. In conclusion, thyroid hormone levels are partly genetically correlated genes that affect free T4 levels and exert pleiotropic effects on free T3 levels, although most of the genetic variance for these measurements is trait specific.

Adult↗

Patterns of age-specific means and genetic variances of mortality rates predicted by the mutation-accumulation theory of ageing.

A general quantitative genetic model of mutations with age-specific deleterious effects is developed. It is shown that, for the simplest case of a species with age-independent reproductive rates and extrinsic adult mortality rates, and no pleiotropic effects of age-specific mutations, exponential increases with age of both the mean and additive genetic variance of age-specific mortality rates are expected. Models where age-specific mutations have pleiotropic effects on mortality that extend either throughout adult life, or are confined to juvenile stages, produce equilibria with exponential increases in the mean and additive variance of mortality rates during much of adult life. However, the rates of increase diminish late in life, and can even become zero. Predictions concerning the additive genetic correlations in mortality rates between different ages are also developed. The predictions of the models are compared with data on humans and Drosophila.

Aging↗

Towards a better understanding of the genetic and physiological basis for nitrogen use efficiency in maize.

To enhance our understanding of the genetic basis of nitrogen use efficiency in maize (Zea mays), we have developed a quantitative genetic approach by associating metabolic functions and agronomic traits to DNA markers. In this study, leaves of vegetative recombinant inbred lines of maize, already assessed for their agronomic performance, were analyzed for physiological traits such as nitrate content, nitrate reductase (NR), and glutamine synthetase (GS) activities. A significant genotypic variation was found for these traits and a positive correlation was observed between nitrate content, GS activity and yield, and its components. NR activity, on the other hand, was negatively correlated. These results suggest that increased productivity in maize genotypes was due to their ability to accumulate nitrate in their leaves during vegetative growth and to efficiently remobilize this stored nitrogen during grain filling. Quantitative trait loci (QTL) for various agronomic and physiological traits were searched for and located on the genetic map of maize. Coincidences of QTL for yield and its components with genes encoding cytosolic GS and the corresponding enzyme activity were detected. In particular, it appears that the GS locus on chromosome 5 is a good candidate gene that can, at least partially, explain variations in yield or kernel weight. Because at this locus coincidences of QTLs for grain yield, GS, NR activity, and nitrate content were also observed, we hypothesize that leaf nitrate accumulation and the reactions catalyzed by NR and GS are coregulated and represent key elements controlling nitrogen use efficiency in maize.

Chromosome Mapping↗

Genetic contribution of the endothelial constitutive nitric oxide synthase gene to plasma nitric oxide levels.

Nitric oxide (NO) has an important physiological role in regulating vascular tone and is also relevant to many pathological processes including hypertension and atherosclerosis. Endothelial constitutive nitric oxide synthase (ecNOS) is the key enzyme in determining basal vascular wall NO production. We used a combination of maximum-likelihood-based statistical genetic methods to explore the contributions of the ecNOS gene and other unmeasured genes to basal NO production measured by its metabolites (NOx: nitrite and nitrate) in 428 members of 108 nuclear families. Our initial quantitative genetic analysis estimated that approximately 30% of the variance in fasting NOx levels is due to genes (chi 2(1) = 16.04, P = .000062). Complex segregation analysis detected the effects of both a single locus and residual polygenes on NOx levels, and measured genotype analysis showed that plasma NOx levels in those homozygous for the rare allele (64.9 +/- 7.8 mumol/L) were significantly higher (P = .000242) than those homozygous for the common allele (30.2 +/- 3.1 mumol/L). The results of the variance component linkage analysis were consistent with linkage of a quantitative trait locus in or near the ecNOS gene to variation in plasma NOx levels (P = .0066). While many environmental factors have been shown to alter transiently plasma NOx levels, our study is the first to identify a substantial effect of the ecNOS locus on the variance of plasma NOx, i.e. basal NO production. This finding may be relevant to atherogenesis and NO-related disorders.

Adolescent↗

Genetic mapping of quantitative trait loci for traits with ordinal distributions.

Statistical methods for mapping quantitative trait loci relative to genetic markers are now well established for continuous traits with normal distributions. However, many traits of economic importance are recorded on a discrete, ordinal scale. Here we describe a model developed for the analysis of ordinal traits, such as degree of difficulty in calving or categories of plant disease resistance. The model estimates the distance from the quantitative trait locus to neighbouring genetic markers, and also genetic parameters, either as gene effects on an underlying continuous scale or as probabilities of the observed categories. The model is tested on simulated data and is compared with an analysis based on mixtures of normal distributions. The ordinal model is found to estimate the parameters more accurately, especially when the number of categories is small or when only one linked marker is available.

Animal Husbandry↗

The genetic architecture of odor-guided behavior in Drosophila: epistasis and the transcriptome.

We combined transcriptional profiling and quantitative genetic analysis to elucidate the genetic architecture of olfactory behavior in Drosophila melanogaster. We applied whole-genome expression analysis to five coisogenic smell-impaired (smi) mutant lines and their control. We used analysis of variance to partition variation in transcript abundance between males and females and between smi genotypes and to determine the genotype-by-sex interaction. A total of 666 genes showed sexual dimorphism in transcript abundance, and 530 genes were coregulated in response to one or more smi mutations, showing considerable epistasis at the level of the transcriptome in response to single mutations. Quantitative complementation tests of mutations at these coregulated genes with the smi mutations showed that in most cases (67%) epistatic interactions for olfactory behavior mirrored epistasis at the level of transcription, thus identifying new candidate genes regulating olfactory behavior.

Animals↗

Theoretical basis for genetic linkage analysis in autotetraploid species.

Linkage analysis in autotetraploid species has been an historical challenge in quantitative genetics theory and is a stumbling block that urgently needs to be removed in the rapidly emerging genome research on this species, such as cultivated potato. This article presents theory of a full model of tetrasomic linkage and develops a statistical framework for the linkage analysis. The model considers both double reduction and recombination, the most essential features of tetrasomic inheritance with linked loci, whereas the statistical method takes appropriate account of the major complexities in analyzing both dominant and codominant molecular marker data during map reconstruction in tetraploid species. These complexities include the problems arising from multiple dosage of allelic inheritance, the null allele, allelic segregation distortion, mixed bivalent and quadrivalent pairing in meiosis, and incomplete information of marker phenotype data. The theoretical analysis established the relationship between the coefficients of double reduction at linked loci, which is essential in the present tetrasomic linkage analysis and in assessing the impact of double reduction on the evolution of tetraploid populations. The statistical method, based on the combination of theoretical analysis and a computer-based algorithm, provided analytical tools for predicting the maximum-likelihood estimates of the model parameters. A simulation study showed the feasibility of a practical implementation of the method, detailed the procedure of the analysis, validated the power and reliability in the parameter estimation, and compared the present method with those proposed in the current literature.

Computer Simulation↗

[Assessment of the genetic risk of radiation by irradiation data from laboratory mammals].

An attempt has been made to assess quantitatively genetic risk of radiation for man based on mammalian (mostly mouse) data and using the direct method proposed by UNSCEAR. The parameter employed was induction of reciprocal translocations. Two assumptions were made: human radiosensitivity equals that of the mouse; and dose-response is linear. From observations with acute gamma irradiation the estimate of risk per 10(-2) Gy was as follows: 39 translocation heterozygotes are expected among one million F1 conceptions, 5 cases of multiple congenital anomalies, 25 abortions recorded and 49 unrecorded. Chronic gamma irradiation at dose rates of 1.3 X 10(-5), 1.7 X 10(-4) and 1.0 X 10(-4) Gy/min was 3 to 10 times less effective. Exposure to 4.2 GeV deuterons proved inferior in effectiveness to gamma irradiation. Chronic exposure to 4.1 MeV neutrons delivered at 8 X 10(-4) Gy/min showed 7 times the effectiveness of chronic gamma irradiation. Administration of tritiated water (from 37 to 37 X 10(2) kBq/g b.w.) to rats entailed a risk of the same order of magnitude as external chronic gamma irradiation. Reduction of genetic risk was achieved by pretreatment with either AFT-, ATP-serotonin mixtures or the molecular combinations, Adeturon and Cytriphos. Study of interspecies differences in genetic radiosensitivity showed decline in the following order: rat-rabbit-mouse-Syrian hamster. A dose-rate effect was most clearly seen in the rat, and least clearly in the rabbit. In female mice, examination of oocyte depletion indicated primary follicles to be highly susceptible to acute gamma irradiation; decrease in sensitivity was observed beginning with stage 4. Chronic gamma irradiation was found to be less effective.

Adenosine Triphosphate↗

The leucine-rich repeat domain can determine effective interaction between RPS2 and other host factors in arabidopsis RPS2-mediated disease resistance.

Like many other plant disease resistance genes, Arabidopsis thaliana RPS2 encodes a product with nucleotide-binding site (NBS) and leucine-rich repeat (LRR) domains. This study explored the hypothesized interaction of RPS2 with other host factors that may be required for perception of Pseudomonas syringae pathogens that express avrRpt2 and/or for the subsequent induction of plant defense responses. Crosses between Arabidopsis ecotypes Col-0 (resistant) and Po-1 (susceptible) revealed segregation of more than one gene that controls resistance to P. syringae that express avrRpt2. Many F(2) and F(3) progeny exhibited intermediate resistance phenotypes. In addition to RPS2, at least one additional genetic interval associated with this defense response was identified and mapped using quantitative genetic methods. Further genetic and molecular genetic complementation experiments with cloned RPS2 alleles revealed that the Po-1 allele of RPS2 can function in a Col-0 genetic background, but not in a Po-1 background. The other resistance-determining genes of Po-1 can function, however, as they successfully conferred resistance in combination with the Col-0 allele of RPS2. Domain-swap experiments revealed that in RPS2, a polymorphism at six amino acids in the LRR region is responsible for this allele-specific ability to function with other host factors.

Alleles↗

Genetic analyses of pyloric stenosis suggesting a specific maternal effect.

Data on pyloric stenosis are analysed by multiple threshold methods that incorporate the sex effect. The polygenic model of inheritance is rejected; the single major locus model can only account for 37% of the cases having a genetic aetiology, requiring an environmental effect to account for the remainder of the cases. A maternal-fetal interaction for gastrin production and sensitivity is postulated to explain all the existing data. The empirical risk figures given are considered to be the most accurate basis for genetic counselling until additional studies provide a sound biological basis for a quantitative genetic model.

Female↗

A number no greater than the sum of its parts: the use and abuse of heritability.

Though widely used in quantitative genetics, in the study of human variation perhaps no statistic is more easily misinterpreted than heritability. While the contribution of genetic heritage to complex biological and behavioral phenotypes cannot be lightly dismissed, nonetheless we remain profoundly ignorant of how that legacy plays out in any environmental context. To be sure, it is not reducible to a single number. Nor does the preference among anthropologists for analyzing biological rather than behavioral phenotypes improve what heritability can reasonably say about the sources of human variation. This paper discusses the meaning of heritability, the methods for its estimation, the fallacies underlying its misuse, and its utility for inquiries in evolutionary anthropology and epidemiology. Progress in anthropological genetics will be realized through greater sophistication in study designs, including the measurement of environmental (physical and sociocultural) variation and the judicious choice of phenotypes for study. Elucidating the ontogenetic processes underlying adaptive plasticity is particularly critical to understanding the evolution of human biological variation. Such advancements will also shed light on the feasibility of genotype-targeted biomedical treatments. Failure to appreciate the limits of such approaches can divert resources from demonstrably effective environmentally based health interventions that benefit entire populations. Simplistic notions of genetic determinism should be challenged for the sake of our theories and the well-being of larger communities. As exemplified by the work of Frank B. Livingstone, anthropological genetics is at its best when incorporating anthropology into the study of human phenotypic variation.

Genetic Variation↗

QTL for relative water content in field-grown barley and their stability across Mediterranean environments.

A quantitative genetics approach was developed to identify the genomic regions that control relative water content (RWC) in field-grown barley. The trait was previously demonstrated to be a relevant screening tool of drought-tolerance in cereals, as well as a good indicator of plant water-status. The trait was measured at the heading stage on flag leaves recorded from 167 recombinant inbred lines grown in several Mediterranean sites (Montpellier, France; Meknès, Morocco; Le Kef, Tunisia). The results obtained confirmed that several genomic regions are implicated in the total phenotypic variation of RWC. A total of nine chromosomal regions were identified. One region situated on the long arm of chromosome 6H contains the most-consistent QTL obtained in the present study. This region was previously identified as controlling RWC, as well as leaf osmotic potential under water stress and osmotic adjustment, from an experiment conducted in growth-chamber conditions with the same genetic background. The confirmation of the role of this region in the genetic control of water and turgor status underlined its interest for breeding purposes in the Mediterranean area. In addition, the presence of several dehydrin loci in the same chromosomal area reinforce its interest for genomics analyses to confirm, or not to confirm, the implication of these genes in the variation of RWC.

Chromosome Mapping↗

Genetic analysis of isolation-induced aggression in the mouse. III. Classical cross-breeding analysis of differences between two closely related inbred strains.

In two preceding papers we reported on two closely related inbred mouse strains, ABG and AB@Halle that display very large differences in isolation-induced intermale aggression. In the present article we investigated animals from a complete Mendelian cross between these strains to test the hypothesis that the behavioral difference is due to genetic variation at only a few loci, possibly only one. In the quantitative-genetic analysis of generation means and variances for the behavioral variables analyzed, relatively simple models were found. As epistasis was present in some cases, the monogenic hypothesis could not be confirmed. Also, the analysis of the segregating generations by means of Collins' nonparametric method revealed significant deviations of observed from expected distributions. We conclude that differences at more than only one single locus are correlated with the behavioral difference.

Aggression↗

Genetic architecture and evolutionary constraint when the environment contains genes.

The environment provided by conspecifics is often the most important component of the environment experienced by individuals, frequently having profound effects on fitness and trait expression. Although these social effects on fitness and trait expression may appear to be purely environmental, they differ from other sorts of environmental influences, because they can have a genetic basis and thus can contribute to evolution. Theory has shown that these effects modify the definition of genetic architecture by making the phenotype the property of the genotypes of multiple individuals and alter evolutionary dynamics by introducing additional heritable components contributing to trait evolution. These effects suggest that genetic and evolutionary analyses of traits influenced by social environments must incorporate the genetic components of variation contributed by these environments. However, empirical studies incorporating these effects are generally lacking. In this paper, I quantify the contribution of genetically based environmental effects arising from social interactions during group rearing to the quantitative genetics of body size in Drosophila melanogaster. The results demonstrate that the genetic architecture of body size contains an important component of variation contributed by the social environment, which is hidden to ordinary genetic analyses and opposes the direct effects of genes on body-size development within a population. Using a model of trait evolution, I show that these effects significantly alter evolutionary predictions by providing hidden constraints on phenotypic evolution. The importance of relatedness of interactants and the potential impact of kin selection on the evolution of body size are also examined.

Animals↗

Asymmetry of configuration space induced by unequal crossover: implications for a mathematical theory of evolutionary innovation.

Evolution can be regarded as the exploration of genetic or morphological state space by populations. In traditional models of population and quantitative genetics, the state space can be formally represented as a configuration space with clearly defined concepts of neighborhood and distance, defined by the action of variational operators such as mutation and/or recombination. In this paper, we describe a process where no genetic configuration space closure (and hence, no non-arbitrary notion of distance and neighborhood) exists. The process is gene duplication by means of unequal crossover, which we regard as an example of an "innovation" process that changes the state space of the system rather than exploring a closed state space. We assert that such processes are qualitatively distinct from representations of the adaptation process, which occur on regular configuration spaces.

Biological Evolution↗