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The genetic basis of quantitative variation: numbers of sensory bristles of Drosophila melanogaster as a model system.

The numbers of sensory hairs of Drosophila melanogaster present an ideal model system to elucidate the genetic basis of morphological quantitative variation. Loci affecting bristle number can be identified and their properties studied by accumulating spontaneous mutations, by P element mutagenesis, by mapping factors causing divergence between selection lines and by the association of phenotype variation with molecular variation at candidate neurogenic loci. The consensus emerging from the application of all approaches is that much of the mutational and segregating variation affecting bristle number is attributable to alleles with large phenotype effects at a small number of candidate loci.

Animals↗

Modeling genetic architecture: a multilinear theory of gene interaction.

The map from genotype to phenotype is an exceedingly complex function of central importance in biology. In this work we derive and analyze a mathematically tractable model of the genotype-phenotype map that allows for any order of gene interaction. By assuming that the alterations of the effect of a gene substitution due to changes in the genetic background can be described as a linear transformation, we show that the genotype-phenotype map is a sum of linear and multilinear terms of operationally defined "reference" effects at each locus. The "multilinear" model is used to study the effect of epistasis on quantitative genetic variation, on the response to selection, and on genetic canalization. It is shown how the model can be used to estimate the strength of "functional" epistasis from a variety of genetic experiments.

Analysis of Variance↗

Some microsatellites may act as novel polymorphic cis-regulatory elements through transcription factor binding.

Although microsatellites with functional effects have been described, generally, these repeats are considered as "junk" DNA in the same way as other repetitive sequences. Our aim was to investigate if certain microsatellites can have a functional role as cis-regulatory elements. A database was created of all short tandem repeats, from 2 to 10 bases, located in the first 10-kb 5' of the transcription start sites of all annotated genes of the human genome. Of 114 microsatellites selected based on their size and location in the promoter, 51 were found to be polymorphic. Using electrophoretic mobility shift assay (EMSA), we studied five repetitive motifs and three displayed specific protein binding which were found in 12 of the polymorphic microsatellites. An interesting microsatellite is the CTC/GAG repeat which, as double-stranded (DS) DNA, bound specificity protein 1 (SP1) with high affinity, formed triplexes in vitro and displayed differences in SP1 binding and triplex formation capacity for repeats with distinct numbers of repeat units. Interestingly, the polypyrimidine strand of the repeat (CTC) bound other proteins such as polypyrimidine tract-binding protein 1 (PTBP1) as single-stranded (SS) DNA, and a model with two alternative DNA conformations is proposed for these repeats. Distinct protein binding to DS DNA was also observed for different numbers of AAACA and AAAAT repeats. Our results suggest that certain microsatellites may act as cis-regulatory elements, controlling gene expression through transcription factor binding and/or secondary DNA structure formation. Due to their high polymorphism and abundance, they might represent an important source of quantitative genetic variation.

Base Sequence↗

Status and opportunities for genomics research with rainbow trout.

The rainbow trout (Oncorhynchus mykiss) is one of the most widely studied of model fish species. Extensive basic biological information has been collected for this species, which because of their large size relative to other model fish species are particularly suitable for studies requiring ample quantities of specific cells and tissue types. Rainbow trout have been widely utilized for research in carcinogenesis, toxicology, comparative immunology, disease ecology, physiology and nutrition. They are distinctive in having evolved from a relatively recent tetraploid event, resulting in a high incidence of duplicated genes. Natural populations are available and have been well characterized for chromosomal, protein, molecular and quantitative genetic variation. Their ease of culture, and experimental and aquacultural significance has led to the development of clonal lines and the widespread application of transgenic technology to this species. Numerous microsatellites have been isolated and two relatively detailed genetic maps have been developed. Extensive sequencing of expressed sequence tags has begun and four BAC libraries have been developed. The development and analysis of additional genomic sequence data will provide distinctive opportunities to address problems in areas such as evolution of the immune system and duplicate genes.

Animals↗

Effect of captivity on genetic variance for five traits in the large milkweed bug (Oncopeltus fasciatus).

Understanding the changes in genetic variance which may occur as populations move from nature into captivity has been considered important when populations in captivity are used as models of wild ones. However, the inherent significance of these changes has not previously been appreciated in a conservation context: are the methods aimed at founding captive populations with gene diversity representative of natural populations likely also to capture representative quantitative genetic variation? Here, I investigate changes in heritability and a less traditional measure, evolvability, between nature and captivity for the large milkweed bug, Oncopeltus fasciatus, to address this question. Founders were collected from a 100-km transect across the north-eastern US, and five traits (wing colour, pronotum colour, wing length, early fecundity and later fecundity) were recorded for founders and for their offspring during two generations in captivity. Analyses reveal significant heritable variation for some life history and morphological traits in both environments, with comparable absolute levels of evolvability across all traits (0-30%). Randomization tests show that while changes in heritability and total phenotypic variance were highly variable, additive genetic variance and evolvability remained stable across the environmental transition in the three morphological traits (changing 1-2% or less), while they declined significantly in the two life-history traits (5-8%). Although it is unclear whether the declines were due to selection or gene-by-environment interactions (or both), such declines do not appear inevitable: captive populations with small numbers of founders may contain substantial amounts of the evolvability found in nature, at least for some traits.

Animal Husbandry↗

Chicken genomics charts a path to the genome sequence.

In this paper, the current status of chicken genomics is reviewed. This is timely given the current intense activity centred on sequencing the complete genome of this model species. The genome project is based on a decade of map building by genetic linkage and cytogenetic methods, which are now being replaced by high-resolution radiation hybrid and bacterial artificial chromosome (BAC) contig maps. Markers for map building have generally depended on labour-intensive screening procedures, but in recent years this has changed with the availability of almost 500,000 chicken expressed sequence tags (ESTs). These resources and tools will be critical in the coming months when the chicken genome sequence is being assembled (eg cross-checked with other maps) and annotated (eg gene structures based on ESTs). The future for chicken genome and biological research is an exciting one, through the integration of these resources. For example, through the proposed chicken Ensembl database, it will be possible to solve challenging scientific questions by exploiting the power of a chicken model. One area of interest is the study of developmental mechanisms and the discovery of regulatory networks throughout the genome. Another is the study of the molecular nature of quantitative genetic variation. No other animal species have been phenotyped and selected so intensively as agricultural animals and thus there is much to be learned in basic and medical biology from this research.

Animals↗

Effects of multiple retrovirus insertions on quantitative traits of mice.

To assess the potential to generate quantitative genetic variation by insertional mutagenesis in a vertebrate, lines of mice in which many provirus vector inserts segregated at a low initial frequency on an inbred background (insert lines) were subjected to divergent artificial selection on body weight at 6 weeks and responses and heritability estimates compared to control lines lacking inserts. Heritability estimates were more than 1.5 times greater in the insert lines than in the controls, but because the phenotypic variance was substantially higher in the insert lines the genetic variance was about 3 times greater. Realized heritability estimates tended to be lower than heritabilities estimated by an animal model which utilizes information in covariances between all relatives in the data set. A surprisingly large response to selection occurred in the inbred control line. Insert lines were about 20% less fertile than controls. Division of the selection lines into inbred sublines in the later generations of the experiment revealed substantially greater variation among sublines of the insert lines than among the controls. Heritabilities were similar to typical estimates for the trait in outbred populations. In conclusion, there was clear evidence of extra variation deriving from inserts, which has yet to be attributed to individual genes.

Animals↗

Association between SSCP haplotypes at the bovine growth hormone gene and milk protein percentage.

The bovine Growth Hormone gene (bGH) is an attractive candidate gene for milk production in cattle. Single-strand conformation polymorphisms at bGH were identified and used to define haplotype configurations at this gene in the Israeli Holstein dairy cattle population (Bos taurus) and in the parent animals of the International Bovine Reference Family Panel (a collection of B. taurus and B. indicus crosses). B. taurus and B. indicus haplotypes at the bGH gene differed qualitatively, confirming the previously proposed long evolutionary separation of these cattle subraces. Only a small number of bGH haplotypes were present in the Israel Holstein population. One of the haplotypes, apparently of B. indicus origin, was found to have a highly significant positive effect on milk protein percentage. This illustrates the utility of the haplotype approach for uncovering candidate gene involvement in quantitative genetic variation in agricultural populations. The strong effect of an indicine haplotype in a taurine background raises the possibility that indicine alleles at other candidate genes may comprise a genetic resource for improvement of taurine populations. It is proposed that haplotype analysis may be a useful adjunct to measures of genetic distance for evaluating rare breeds with respect to gene conservation.

Animals↗

Epistasis for three grain yield components in rice (Oryza sativa L.).

The genetic basis for three grain yield components of rice, 1000 kernel weight (KW), grain number per panicle (GN), and grain weight per panicle (GWP), was investigated using restriction fragment length polymorphism markers and F4 progency testing from a cross between rice subspecies japonica (cultivar Lemont from USA) and indica (cv. Tequing from China). Following identification of 19 QTL affecting these traits, we investigated the role of epistasis in genetic control of these phenotypes. Among 63 markers distributed throughout the genome that appeared to be involved in 79 highly significant (P < 0.001) interactions, most (46 or 73%) did not appear to have "main" effects on the relevant traits, but influenced the trait(s) predominantly through interactions. These results indicate that epistasis is an important genetic basis for complex traits such as yield components, especially traits of low heritability such as GN and GWP. The identification of epistatic loci is an important step toward resolution of discrepancies between quantitative trait loci mapping and classical genetic dogma, contributes to better understanding of the persistence of quantitative genetic variation in populations, and impels reconsideration of optimal mapping methodology and marker-assisted breeding strategies for improvement of complex traits.

Adaptation, Physiological↗

Heritability of phenolics in Quercus laevis inferred using molecular markers.

Studies of quantitative inheritance of phenotypes do not generally encompass the range of environmental conditions to which a population may be exposed in a natural setting and are rarely conducted on long-lived species due to the time required for traditional crossing experiments. We used a marker-based method to estimate relatedness with microsatellite markers in a natural population of a long-lived oak, then used this inferred relatedness to examine quantitative genetic variation in the concentration of foliar phenolics. Estimating heritability using this method requires both significant relatedness and variance in relatedness over distance. However, this population did not show significant variance of relatedness, so only the presence of heritability, and its ranking among traits and environments, could be estimated. Seven foliar phenolics showed a significant relationship between phenotypic similarity and relatedness. The significance of this relationship varied among individual phenolic compounds, as well as by season. Genetic factors appeared to have a more measurable influence on the production of secondary compounds early in the season. After leaf expansion, covariance of relatedness and phenotypic variance appear to become less significant. Therefore heritability may vary seasonally for these traits.

Genetic Heterogeneity↗

Restriction fragment length polymorphisms in dairy and beef cattle at the growth hormone and prolactin loci.

Two bovine populations, a Holstein-Friesian dairy stock and a synthetic (Baladi X Hereford X Simmental X Charolais) beef stock, were screened for restriction fragment length polymorphisms (RFLPs) at the growth hormone and prolactin genes. Most RFLPs at the growth hormone gene are apparently the consequence of an insertion/deletion event which was localized to a region downstream of the structural gene. The restriction map for the genomic region including the growth hormone gene was extended. Two HindIII RFLPs at the growth hormone locus, as well as several RFLPs at the prolactin gene, seemed to be the consequence of a series of point mutations. The results are discussed in terms of the possibility that minor genomic variability underlies quantitative genetic variation.

Animals↗

Finding associations in dense genetic maps: a genetic algorithm approach.

Large-scale association studies hold promise for discovering the genetic basis of common human disease. These studies will consist of a large number of individuals, as well as large number of genetic markers, such as single nucleotide polymorphisms (SNPs). The potential size of the data and the resulting model space require the development of efficient methodology to unravel associations between phenotypes and SNPs in dense genetic maps. Our approach uses a genetic algorithm (GA) to construct logic trees consisting of Boolean expressions involving strings or blocks of SNPs. These blocks or nodes of the logic trees consist of SNPs in high linkage disequilibrium (LD), that is, SNPs that are highly correlated with each other due to evolutionary processes. At each generation of our GA, a population of logic tree models is modified using selection, cross-over and mutation moves. Logic trees are selected for the next generation using a fitness function based on the marginal likelihood in a Bayesian regression frame-work. Mutation and cross-over moves use LD measures to pro pose changes to the trees, and facilitate the movement through the model space. We demonstrate our method and the flexibility of logic tree structure with variable nodal lengths on simulated data from a coalescent model, as well as data from a candidate gene study of quantitative genetic variation.

Algorithms↗

High stressful temperature and genetic variation of five quantitative traits in Drosophila melanogaster.

Variation of five quantitative traits (thorax length, wing length, sternopleural bristle number, developmental time and larva-to-adult viability) was studied in Drosophila melanogaster reared at standard (25 degrees C) and high stressful (32 degrees C) temperatures using half-sib analysis. In all traits, both phenotypic and environmental variances increased at 32 degrees C. For genetic variances, only two statistically significant differences between temperature treatments were found: the among-sire variance of viability and the among-dam variance of developmental time were higher under stress. Among-sire genetic variances and evolvabilities were generally higher at 32 degrees C but narrow sense heritabilities were not. The results of the present work considered in the context of other studies in D. melanogaster indicate different patterns of genetic variation between stressful and nonstressful environments for the traits examined. Data on thorax length and viability agree with the hypothesis that genetic variance can be increased under extreme environmental conditions.

Animals↗

Selection in backcross programmes.

Backcrossing is a well-known and long established breeding scheme where a characteristic is introgressed from a donor parent into the genomic background of a recurrent parent. The various uses of backcrossing in modern genetics, particularly with the help of molecular markers, are reviewed here. Selection in backcross programmes is used to either improve the genetic value of plant and animal populations or fine map quantitative trait loci. Both cases are helpful in our understanding of the genetic bases of quantitative traits variation.

Animals↗

Contrasting patterns of quantitative and neutral genetic variation in locally adapted populations of the natterjack toad, Bufo calamita.

The relative importance of natural selection and genetic drift in determining patterns of phenotypic diversity observed in nature is still unclear. The natterjack toad (Bufo calamita) is one of a few amphibian species capable of breeding in saline ponds, even though water salinity represents a considerable stress for them. Results from two common-garden experiments showed a pattern of geographic variation in embryonic salinity tolerance among populations from either fresh or brackish environments, consistent with the hypothesis of local adaptation. Full-sib analysis showed increased variation in survival among sibships within population for all populations as osmotic stress was increased (broad-sense heritability increased as salinity raised). Nevertheless, toads native to the brackish water environment had the highest overall survival under brackish conditions. Levels of population genetic differentiation for salinity tolerance were higher than those of neutral genetic differentiation, the latter obtained through the analysis of eight microsatellite loci. Microsatellite markers also revealed little population differentiation, lack of an isolation-by-distance pattern, and moderate gene flow connecting the populations. Therefore, environmental stress tolerance appears to have evolved in absence of geographic isolation, and consequently we reject the null hypothesis of neutral differentiation.

Adaptation, Physiological↗

Genetic control of quantitative variation in self-incompatibility proteins detected by immunodiffusion.

Single radial immunodiffusion was used to study the self-incompatibility (S) proteins present in stigmas of two inbred lines of Brassica oleracea: a self-incompatible line and a self-compatible mutant derived from it. The genetic basis of observed quantitative differences in S proteins between the two inbreds was shown to be determined by a single gene with dosage effects. Self-pollination of individual plants with high, intermediate and low levels of S protein in the stigmas, respectively, resulted in low, intermediate and high seed set.

Animals↗

Quantitative trait loci define genes and pathways underlying genetic variation in longevity.

Quantitative trait locus (QTL) mapping provides a means to discover and roughly position regions of the genome that harbor genes responsible for natural variation in a complex trait. QTL mapping has been utilized extensively in the pursuit of genes contributing to longevity, chiefly in two animal models, the nematode Caenorhabditis elegans and the dipteran insect Drosophila melanogaster. Research on both species has demonstrated that a relatively small set of loci accounts for most of their genetic variance in lifespan. QTL mapping complements the discovery of longevity genes by mutagenesis screens, because the two procedures are predicted to unveil overlapping but distinct types of genes. We argue that information gained from animal models, even invertebrates, can greatly facilitate the process of gene identification and testing of homologous genes in humans.

Aging↗