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Greg Gibson

Publications and source records attributed to Greg Gibson.

36 records · Page 2Linked to original sources

Association between nucleotide variation in Egfr and wing shape in Drosophila melanogaster.

As part of an effort to dissect quantitative trait locus effects to the nucleotide level, association was assessed between 238 single-nucleotide and 20 indel polymorphisms spread over 11 kb of the Drosophila melanogaster Egfr locus and nine relative warp measures of wing shape. One SNP in a conserved potential regulatory site for a GAGA factor in the promoter of alternate first exon 2 approaches conservative experiment-wise significance (P < 0.00003) in the sample of 207 lines for association with the location of the crossveins in the central region of the wing. Several other sites indicate marginal association with one or more other aspects of shape. No strong effects of sex or population of origin were detected with measures of shape, but two different sites were strongly associated with overall wing size in interaction with these fixed factors. Whole-gene sequencing in very large samples, rather than selective genotyping, would appear to be the only strategy likely to be successful for detecting subtle associations in species with high polymorphism and little haplotype structure. However, these features severely limit the ability of linkage disequilibrium mapping in Drosophila to resolve quantitative effects to single nucleotides.

Analysis of Variance↗

Nucleotide variation in the Egfr locus of Drosophila melanogaster.

The Epidermal growth factor receptor is an essential gene with diverse pleiotropic roles in development throughout the animal kingdom. Analysis of sequence diversity in 10.9 kb covering the complete coding region and 6.4 kb of potential regulatory regions in a sample of 250 alleles from three populations of Drosophila melanogaster suggests that the intensity of different population genetic forces varies along the locus. A total of 238 independent common SNPs and 20 indel polymorphisms were detected, with just six common replacements affecting >1475 amino acids, four of which are in the short alternate first exon. Sequence diversity is lowest in a 2-kb portion of intron 2, which is also highly conserved in comparison with D. simulans and D. pseudoobscura. Linkage disequilibrium decays to background levels within 500 bp of most sites, so haplotypes are generally restricted to up to 5 polymorphisms. The two North American samples from North Carolina and California have diverged in allele frequency at a handful of individual SNPs, but a Kenyan sample is both more divergent and more polymorphic. The effect of sample size on inference of the roles of population structure, uneven recombination, and weak selection in patterning nucleotide variation in the locus is discussed.

Analysis of Variance↗

Extensive sex-specific nonadditivity of gene expression in Drosophila melanogaster.

Assessment of the degree to which gene expression is additive and heritable has important implications for understanding the maintenance of variation, adaptation, phenotypic divergence, and the mapping of genotype onto phenotype. We used whole-genome transcript profiling using Agilent long-oligonucleotide microarrays representing 12,017 genes to demonstrate that gene transcription is pervasively nonadditive in Drosophila melanogaster. Comparison of adults of two isogenic lines and their reciprocal F1 hybrids revealed 5820 genes as significantly different between at least two of the four genotypes in either males or females or across both sexes. Strikingly, while 25% of all genes differ between the two parents, 33% differ between both F1's and the parents, averaged across sexes. However, only 5% of genes show overdominance, suggesting that heterosis for expression is rare.

Animals↗

Effects of population structure and sex on association between serotonin receptors and Drosophila heart rate.

As a first step toward population and quantitative genetic analysis of neurotransmitter receptors in Drosophila melanogaster, we describe the parameters of nucleotide variation in three serotonin receptors and their association with pupal heart rate. Thirteen kilobases of DNA including the complete coding regions of 5-HT1A, 5-HT1B, and 5-HT2 were sequenced in 216 highly inbred lines extracted from two North American populations in California and North Carolina. Nucleotide and amino acid polymorphism is in the normal range for Drosophila genes and proteins, and linkage disequilibrium decays rapidly such that haplotype blocks are typically only a few SNPs long. However, intron 1 of 5-HT1A consists of two haplotypes that are at significantly different frequencies in the two populations. Neither this region of the gene nor any of the common amino acid polymorphisms in the three loci associate with either heart rate or heart rate variability. A cluster of SNPs in intron 2 of 5-HT1A, including a triallelic site, do show a highly significant interaction between genotype, sex, and population. While it is likely that a combination of weak, complex selection pressures and population structure has helped shape variation in the serotonin receptors of Drosophila, much larger sampling strategies than are currently adopted in evolutionary genetics will be required to disentangle these effects.

Animals↗

Evidence that Egfr contributes to cryptic genetic variation for photoreceptor determination in natural populations of Drosophila melanogaster.

One objective of quantitative genetics is to identify the nucleotide variants within genes that contribute to phenotypic variation and susceptibility [1]. In an evolutionary context, this means characterizing the molecular polymorphisms that modify the penetrance and expressivity of perturbed traits. A survey of association between 267 SNPs in almost 11 kb of the D. melanogaster Egfr and the degree of eye roughening due to a gain-of-function Egfr(E1) allele crossed into 210 isogenic wild-type lines provides evidence that a handful of synonymous substitutions supply cryptic variation for photoreceptor determination. Ten sites exceed Bonferroni threshold for association in two sets of crosses to different Egfr(E1) backgrounds including a particularly significant cluster of sites in tight linkage disequilibrium toward the 3' end of the coding region. Epistatic interaction of this cluster with one other site enhances the expressivity of this haplotype. Replication of the strongest associations with an independent sample of 302 phenotypically extreme individuals derived from 1000 crosses of Egfr(E1) to freshly trapped males was achieved using modified case-control and transmission-disequilibrium tests. A tendency for the rarer alleles to have more disrupted eye development suggests that mutation-selection balance is a possible mechanism contributing to maintaining cryptic variation for Egfr.

Alleles↗

Contrasting selection pressures on components of the Ras-mediated signal transduction pathway in Drosophila.

The molecular genetics of several signal transduction pathways is well characterized, providing an opportunity to address the nature of the population genetic forces acting on functionally related suites of pleiotropic regulatory genes. Signal transduction is the process by which signals are transmitted from the cell surface to the nucleus or other cellular structures. It plays a fundamental role in regulating a wide range of developmental and physiological processes, many of which are likely to be subject to buffering mechanisms. Here we infer that contrasting selection pressures act on six components of the Ras signal transduction pathway by comparing sequences obtained from 25 alleles of Drosophila melanogaster with one allele of the sibling species D. simulans. The three most upstream components of the cascade, Ras, Drk and polehole, experience strong purifying selection, as they show no fixed amino acid differences between the species and just a handful of rare replacement polymorphisms within D. melanogaster. This portion of the pathway is likely to act as a control point in signal transduction, because the more downstream components Dsor1, corkscrew and Ksr, each show several amino acid replacements between the species. Furthermore, Ksr is nearly monomorphic within D. melanogaster, and application of the HKA and McDonald and Kreitman tests indicate that this gene may have experienced a recent selective sweep, suggesting that modifiers of Ras kinase signalling are the most likely source of quantitative variation associated with this core regulatory pathway.

Animals↗

Mixed-model reanalysis of primate data suggests tissue and species biases in oligonucleotide-based gene expression profiles.

An emerging issue in evolutionary genetics is whether it is possible to use gene expression profiling to identify genes that are associated with morphological, physiological, or behavioral divergence between species and whether these genes have undergone positive selection. Some of these questions were addressed in a recent study (Enard et al. 2002) of the difference in gene expression among human, chimp, and orangutan, which suggested an accelerated rate of divergence in gene expression in the human brain relative to liver. Reanalysis of the Affymetrix data set using analysis of variance methods to quantify the contributions of individuals and species to variation in expression of 12,600 genes indicates that as much as one-quarter of the genome shows divergent expression between primate species at the 5% level. The magnitude of fold change ranges from 1.2-fold up to 8-fold. Similar conclusions apply to reanalysis of Enard et al. 2002 parallel murine data set. However, biases inherent to short oligonucleotide microarray technology may account for some of the tissue and species effects. At high significance levels, more differences were observed in the liver than in the brain in each of the pairwise species comparisons, so it is not clear that expression divergence is accelerated in the human brain. Further, there is an apparent bias toward upregulation of gene expression in the brain in both primates and mice, whereas genes are equally likely to be up- or downregulated in the liver when these species diverge. A small subset of genes that are candidates for adaptive divergence may be identified on the basis of a high ratio of interspecific to intraspecific divergence.

Animals↗

Perspective: Evolution and detection of genetic robustness.

Robustness is the invariance of phenotypes in the face of perturbation. The robustness of phenotypes appears at various levels of biological organization, including gene expression, protein folding, metabolic flux, physiological homeostasis, development, and even organismal fitness. The mechanisms underlying robustness are diverse, ranging from thermodynamic stability at the RNA and protein level to behavior at the organismal level. Phenotypes can be robust either against heritable perturbations (e.g., mutations) or nonheritable perturbations (e.g., the weather). Here we primarily focus on the first kind of robustness--genetic robustness--and survey three growing avenues of research: (1) measuring genetic robustness in nature and in the laboratory; (2) understanding the evolution of genetic robustness: and (3) exploring the implications of genetic robustness for future evolution.

Adaptation, Biological↗

Developmental evolution: getting robust about robustness.

In the context of development, a process is robust if it can proceed normally despite the enormous capacity for perturbation inherent in all biological systems. A new mode of theoretical modeling of genetic networks holds great promise for increasing our understanding of both the quantitative mechanisms of robustness and its evolutionary impact.

Animals↗

A genetic attack on the defense complex.

An increasing number of "non-model" organisms are becoming accessible to genetic analysis in the field, as evolutionary biologists develop dense molecular genetic maps. Peichel et al.'s recent study(1) provides a microsatellite-based map for threespine stickleback fish (Gasterosteus aculeatus), and the first evidence for QTL affecting feeding morphology and defensive armor. This species has undergone rapid and parallel morphological and behavioral evolution, and there is now hope that some of the genes responsible for the divergence may soon be identified.

Animals↗

The evolution of developmental regulatory pathways.

Evolutionary analysis of the content of developmental regulatory pathways has been advanced by the publication of pairs of complete genome sequences from representative taxonomic groups. Annotation of the fission yeast, rice, and mouse genomes confirms that most regulatory families are shared among eukaryotes but also shows that certain gene families have restricted distributions. Theoretical advances in the past few years include development of the theory of scale-free networks, which provides a new framework in which to consider the connectivity and evolution of regulatory systems, and introduction of algorithms that use comparative data to enhance detection of transcriptional regulatory motifs.

Animals↗

Enabling population and quantitative genomics.

Dissection of quantitative traits to the nucleotide level requires phenotypic and genotypic analysis of traits on a genome scale. Here we discuss the set of community-wide genetic and molecular resources, including panels of specific types of inbred lines and high density resequencing and SNP detection, that will facilitate such studies.

Animals↗

Unusual genetic architecture of natural variation affecting drug resistance in Drosophila melanogaster.

Naturally occurring genetic variation was quantified for survival time of adult Drosophila melanogaster exposed to chronic ingestion of the drugs nicotine, caffeine, dopamine, tyramine and octopamine. Responses to nicotine, tyramine and octopamine were genetically correlated in both sexes, whereas caffeine response correlated with starvation resistance. However, there is also genetic variation that is specific for each of the drugs. Females tended to be more resistant than males to nicotine and caffeine but sex-by-genotype interactions were also seen for these drugs and for the response to dopamine. An unusual and complex genetic architecture was observed in crosses between lines with different responses to caffeine ingestion. Additive and dominance components were clearly seen from the analysis of F1 individuals, but increased female resistance to caffeine in backcross generations and increased male sensitivity in F2 generations confused the interpretation of possible epistatic contributions.

Analysis of Variance↗

Microarrays in ecology and evolution: a preview.

Microarray technology provides a new tool with which molecular ecologists and evolutionary biologists can survey genome-wide patterns of gene expression within and among species. New analytical approaches based on analysis of variance will allow quantification of the contributions of among individual variation, genotype, sex, microenvironment, population structure, and geography to variation in gene expression. Applications of this methodology are reviewed in relation to studies of mechanisms of adaptation and divergence; delineation of developmental and physiological pathways and networks; characterization of quantitative genetic parameters at the level of transcription ('quantitative genomics'); molecular dissection of parasitism and symbiosis; and studies of the diversification of gene content. Establishment of microarray resources is neither prohibitively expensive nor technologically demanding, and a commitment to development of gene expression profiling methods for nonmodel organisms could have a tremendous impact on molecular and genetic research at the interface of organismal and population biology.

Animals↗

Genetic variation for dorsal-ventral patterning of the Drosophila melanogaster eggshell.

Patterning of the insect eggshell is an excellent system for exploring the molecular basis of phenotypic variation. In Drosophila melanogaster, two dorsal-anterior respiratory appendages are produced in response to signaling through the Epidermal growth factor receptor (Egfr). Previous work implicates Egfr pathway function in both intraspecific variation for dorsal appendage spacing (DAS) on the eggshell, as well as interspecific differences in dorsal appendage number and location. To test the hypothesis that genetic variation in Egfr contributes to variation in eggshell patterning, we have made use of naturally occurring intraspecific variation for DAS as a model quantitative trait. We found that there is substantial segregating genetic variation for DAS in D. melanogaster, and have tested for associations with 289 common polymorphisms in the Egfr locus. A marginal association was seen with two polymorphic sites in Egfr; however, we failed to replicate these findings in a second population, or in a modified quantitative complementation test designed to specifically test the effects of the putative polymorphisms. Therefore, we conclude that the polymorphisms we have identified in Egfr do not contribute to variation in DAS, and further work is required to understand the genetic architecture of this trait.

Animals↗