The influence of genotype variation on phenotype has been a longstanding question in biology but it is now one of the greatest challenges of the post-genomics era. Discovering the link between common gene variants that affect phenotypes within and between populations is likely to provide insight into the molecular physiology of phenotypic traits and the mechanisms by which they evolve. The overall goal of this thesis is to link naturally occurring genotypic variation with the organism??s phenotype. The specific goal of this thesis is to connect natural variation in the mitochondrial genotype with the organismal phenotype using the model organism Drosophila simulans. Mitochondria are intracellular organelles found in most eukaryotes and produce over 90% of the energy needed by cells. Determining the connection of mitochondrial genotype to whole organism phenotype is of particular interest because of the broad use of mitochondrial (mt) DNA as a molecular marker in evolutionary biology and population genetics, the organelle??s central role in cellular energy production, the potential for the mitochondria to influence organismal distribution particularly in the face of climate change and in human degenerative disease. I use the model organism D. simulans because it has high genetic variability, can be easily sampled from the wild and manipulated in the lab, and the energy producing reactions that take place in its mitochondria are highly conserved among metazoa. I studied naturally occurring mutations to understand the influence of these changes in natural populations. The four studies in this thesis have employed a Genotype-Biochemistry-Phenotype (GBP) model to link naturally occurring variation in the mitochondrial genotype with organism phenotype in D. simulans mitochondria. Three major conclusions can be drawn from the thesis that follow the genotype to biochemistry to phenotype model. Firstly, a subset of the mutations in genes that comprise the mitochondrial genotype is functionally significant. Secondly, the biochemical efficiency of OXPHOS is regulated by mitochondrial homeostasis. Thirdly, key organismal life history traits influenced by the mitochondrial genotype and this is mediated through the biochemistry of OXPHOS.

The present thesis is based on four studies focusing on alcohol consumption among Swedish adolescents, and therewith related psychosocial and genetic factors. One main objective was to study the reasons for drinking alcohol among different population - representative samples of adolescents in order to identify motives for drinking. Relationships between these drinking motives, alcohol consumption, and alcohol - related problems were also investigated. Three motives emerged from this study: social - enhancement, coping and dominance. The association with alcohol consumption and alcohol - related problems was positive for social - enhancement and coping motives, but negative for the dominance motive. A significant heritability of alcohol use disorders has been demonstrated by family, adoption and twin studies. Environmental influences have also been acknowledged to play an important role in the development of alcohol use disorders. Moreover, the interaction between genetic and environmental factors is likely to influence the risk - resilience for alcohol use disorders. In view of this knowledge, plausible candidate polymorphisms were considered in gene - environment interaction models. An effect of the genetic polymorphisms was only present when a G x E model was considered. A genetic variant of the clock gene Period2, in an interaction with sleep problems, was studied in relation to alcohol consumption among adolescents. High alcohol consumption was associated with the AA genotype of the PER2 SNP10870 polymorphism, in an interaction with several and frequent sleep problems, among adolescent boys. A genetic variant in the opioid µ receptor 1 gene, in an interaction with alcohol consumption, was studied in relation to depressive symptoms. Depressive symptoms were predicted by the G allele of the OPRM1 A118G polymorphism, in an interaction with high alcohol consumption, among adolescent girls. Additionally, the PER2 SNP10870 and the OPRM1 A118G polymorphisms were studied in a sample of severely alcoholic females. Furthermore, alcohol consumption was assessed by using different instruments, such as biomarkers and surveys. Comparisons were carried out to identify the most suitable method to assess alcohol consumption among adolescents. Questionnaire and interview seemed more suitable tools than biomarkers in this regard.The results eventually support the importance of psychosocial and genetic influences, and their interaction effect on alcohol consumption among adolescents.

In the current study, behavioral responses of several species of calanoid copepods to mimics of oceanographic structure were observed and evaluated in the context of foraging and aggregation. Zooplankton distributions in oceanic habitats are often attributed to physical forcing; however, physical factors only act to drive ecological patterns at large scales (m to km). At fine to intermediate scales (cm to m) zooplankton behavior is believed to govern observed distributions, but the mechanisms and ecological significance of these behaviors are not well understood. In a water column, biological activity is often concentrated into one or a few regions, called thin layers, on the order of a meter thick, and zooplankton, such as copepods, must be able to reliably locate and exploit these patches for survival. Thin layers commonly are associated with oceanic structure such as flow gradients, fluid density jumps, or chemical composition gradients. Utilization of mechanosensory or chemosensory cues associated with thin layers may increase foraging success, thus translating into a significant ecological advantage. A laboratory apparatus was developed to create isolated and combined thin layer properties. Copepods then were exposed to laboratory mimics of thin layers. All of the tested species of copepods exhibited behavioral responses associated with area-restricted search behavior to one of the physical gradients (flow velocity or fluid density), but not both. Similar responses were observed for chemical exudate layer experiments and included increased proportional residence times, swimming speeds, and turn frequency. Food layers induced feeding responses from all tested species (increased proportional residence time, decreased swimming speed). Responses to various combinations of gradients were not fully synergistic, but suggested that some copepods employ a cue hierarchy to locate food-rich areas. Velocity or density gradients acted as initial cues for narrowing search regions, while chemical exudates induced responses that strengthened or removed the initial reactions. A simple foraging model was used to illustrate how such behavioral changes can lead to observed aggregations at larger temporal and spatial scales. Consequently, these results suggest that individual responses to oceanographic structure may have far reaching influence on population dynamics, succession, and biodiversity in coastal and pelagic ecosystems.

Cells switch phenotypes or behaviors to adapt to various environmental stimuli. Often there are multiple alternative phenotypes, hence a cell chooses one phenotype among them, a process which we term a ``decision switch'. At the cellular level, decision switches are governed by gene regulation, hence they are intrinsically stochastic. Here we investigate two aspects of decision switches: how copy number of genetic components facilitates multiple phenotypes and how temporal dynamics of gene regulation with stochastic fluctuations affect switching a cell fate. First, we demonstrate that gene expression can be sensitive to changes in the copy number of genes and promoters, and alternative phenotypes may arise due to bistability within gene regulatory networks. Our analysis in phage-lambda-infected E. coli cells exhibit drastic change in gene expression by changing the copy number of viral genes, suggesting phages can determine their fates collectively via sharing gene products. Second, we examine decision switches mediated by temporal dynamics of gene regulation. We consider a case when temporal gene expression triggers a corresponding cell fate, and apply it to the lysis-lysogeny decision switch by phage lambda. Our analysis recapitulates the systematic bias between lysis and lysogeny by the viral gene copy number. We also present a quantitative measure of cell fate predictability based on temporal gene expression. Analyses using our framework suggest that the future fate of a cell can be highly correlated with temporal gene expression, and predicted if the current gene expression is known.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniversitet, 2009. / Härtill 4 uppsatser.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniv., 2009. / Härtill 5 uppsatser.

In New Zealand, a formal tree improvement and breeding programme for Pinus radiata (D.Don) commenced in 1952. A countrywide series of progeny trials was progressively established on over seventy sites, and is managed by the Radiata Pine Breeding Company (RPBC). Diameter at breast height data from the series were used to investigate genotype x environment interaction with a view to establishing the need for partitioning breeding and deployment efforts for P. radiata. Nearly 300,000 measurements made this study one of the largest for genotype x environment interaction ever done. Bivariate analyses were conducted between all pairs of sites to determine genetic correlations between sites. Genetic correlations were used to construct a proximity matrix by subtracting each correlation from unity. The process of constructing the matrix highlighted issues of low connectivity between sites; whereby meaningful correlations between sites were established with just 5 % of the pairs. However, nearly two-thirds of these genetic correlations were between -1.0 and 0.6, indicating the presence of strong genotype x environment interactions. A technique known as multiple regression on resemblance matrices was carried out by regressing a number of environmental correlation matrices on the diameter at breast height correlation matrix. Genotype x environment interactions were found to be driven by extreme maximum temperatures (t-statistic of 2.03 against critical t-value of 1.96 at 95 % confidence level). When tested on its own, altitude was significant with genetic correlations between sites at the 90 % confidence level (t-statistic of 1.92 against critical t-value of 1.645). In addition, a method from Graph Theory using proximity thresholds was utilised as a form of clustering. However, this study highlighted the existence of high internal cohesion within trial series, and high external isolation between trial series. That is, grouping of sites (in terms of diameter) was observed to be a reflection of the series of trials for which each site was established. This characteristic is particularly unhelpful for partitioning sites into regions of similar propensity to genotype x environment interaction, as the genotype x environment effect is effectively over-ridden by the genotype effect. Better cohesion between past, present and future trial series, and more accurate bioclimatic data should allow more useful groupings of sites to be extracted from the data. Given this, however, it is clear that there are a large number of interactive families contained in the RPBC dataset. It is concluded that partitioning of New Zealand’s P. radiata breeding programme cannot be ruled out as an advantageous option.

<p>Background: Previous research suggests that early life socioeconomic stress and certain genetic polymorphisms may be partly associated with increased adiposity; however, research on both genetic and environmental predictors fail to account for the dramatic increase in obesity over that last several decades. Hypothesis: It was hypothesized that a GxE interaction between DRD2-related SNPs and parental education would predict trunk and total fat mass. This same interaction would also predict total calories from a 24-hour diet recall, which would mediate its effect on trunk and total fat mass. Sample: The current study analyzed genetic and psychosocial data from 697 participants collected for the Family Heart Study, an investigation examining the relationship between psychosocial behaviors and cardiovascular risk factors. Methods: Interactions were assessed between four single nucleotide polymorphisms (SNPs) in the D2 receptor and ANKK1 genes and tertiles of parental education predicting DXA-scan-measured trunk and total body fat mass. A measure of total calories, as assessed by a 24-hour diet recall, was tested as a mediator of this effect. Results: An interaction between mother's education and RS1116313 SNP predicted trunk fat (F(4,191)=2.94, p=0.022) and total body fat (F(4, 191)=3.94, p=0.004). The effects were driven by a reduction in trunk and total fat mass among C/C or T/T homozygotes with a high mother's education, which was not observed among C/T heterozygotes. Father's education was neither an interactive nor a main effect predictor in any models. Interactions predicting total calories were also non-significant, and no support for mediation was found. Post-hoc analyses revealed that leisure activity was also not a mediator. Alternatively, certain dietary components were predicted by the interactions between mother's education and RS1124492 and between mother's education and RS1800498. Conclusions: Trunk and total body fat composition are predicted by an interaction between mother's education and the RS1116313 SNP. This effect does not appear to be mediated by total calories or leisure activity. Other SNPs associated with the D2 receptor interact with mother's education to predict dietary components.</p> / Dissertation

The aetiology of Parkinson's disease (PD) is still unclear. Research findings suggest that both environmental and genetic factors may contribute to its development. The interactions between genes and the environment might exist and play a key role. Cigarette smoking was found to be one of the few factors exhibiting a protective effect. If chemical compounds found in cigarette smoke influence PD risk, the difference in the ability of certain individuals in metabolising these substances might alter their susceptibility to the risk of developing PD. Many metabolic enzyme genes exhibit polymorphic traits with alteration of gene function. These might be associated with an altered susceptibility of individuals to PD. Few studies have examined the hypothesis that metabolic enzyme gene polymorphisms might modulate the effect of smoking on PD risk. However, it is crucial to consider these potential interactions when we try to elucidate the aetiology of PD. Even if each factor only contributes a slight variation and influences a small portion of the whole population, non-linear and unpredictable interactions may account for a high proportion of the aetiological fraction. Previous studies have not been strictly designed to examine the interactions between smoking and metabolic enzyme genetic polymorphisms. These studies have not been able to elucidate the extent of the interaction. Therefore, this PhD project attempted to examine whether genetic factors, operating in the phase one and phase two metabolic pathways, interact with smoking to influence the development of PD. This is the first genetic epidemiological study of PD specifically addressing this issue. The research aids in further understanding the aetiology of PD and may be useful for identifying people at higher risk. A case-only design was chosen for this project for two reasons: first, PD is a relatively rare disease and the case-only design is much more efficient at detecting gene-environment interactions; second, the PD cases for the project were recruited over the past few years and represent a prevalence series, for which an appropriate comparison group for the cases is difficult to identify and recruit. In a case-only study, only cases are used to investigate the multiplicative effects of the exposures and susceptible genotypes of interest, while non-case subjects (traditionally controls) are solely used to test the independence between the exposure and the susceptible genotype. Therefore, this approach avoids the challenges of control selection, a major limitation inherent in the case-control approach. This thesis comprised of three independent studies: the first study investigated the interactions between genetic polymorphisms of GSTM1, P1, T1 and Z1 and smoking in PD; the second study examined the interactions between genetic polymorphisms of CYP2E1 and smoking in PD; and the third study examined the interactions between genetic polymorphisms of CYP2D6 and smoking in PD. The first two studies recruited 400 white Caucasian PD cases from both hospital wards and private neurology clinics (230 men and 170 women). The third study further included 142 white Caucasian PD cases newly recruited from the same sources (542 in total, 321 men, and 221 women). The mean age of cases was 67 years with the average onset age at 60 years. GSTM1, GSTP1, GSTT1, GSTZ1 AND CYP2E1 genotyping processes were performed using protocols previously published with minor modification, whereas CYP2D6 genotyping methods were mainly developed by me with assistance from associate supervisor Dr. George Mellick. Reliability and validity of the PCR and RFLP methods were assessed through re-conducting the genotype assays using at least a 10% sample of our DNA samples. The results for all re-assessments were 100% concordant. Crude bivariate analyses were adjusted for potential confounding effects of the variables, including age at onset, gender, family history of PD and pesticide exposures. Among our unaffected, aged subjects (mean age: 63.9 years, sd: 11.4 years), the genotype frequencies at each locus were similar to those reported in other Caucasian populations. The first study showed that the proportion of carriers of the GSTP1-114Val allele (mutant) increased with increasing smoking dose from 0 to > 30 pack-years. Homozygotes of the 114Ala allele (wild-type) decreased with increasing smoking dose (trend test: p=0.02). This trend existed both in male and female cases. This dose-effect relationship was most significant in the group of cases with late-onset PD (i.e., age at onset > 55 years) with the ORicase-only values of 1.88 (95%CI: 0.65-5.48) and 2.63 (95%CI: 1.07-6.49) for > 0-10 and > 10 pack-years, respectively. No similar trend was found among our unaffected, aged subjects (p=0.42). Haplotype analyses revealed significant differences for GSTP1 haplotypes between smoking and non-smoking PD cases (ORicase-only for *C haplotype=2.00 (95%CI: 1.11-3.60), p=0.03). In this case, smoking-exposed PD cases were more likely to posses the *C haplotype defined by A to G base-pair transition at nucleotide +313 and C to T base-pair transition at nucleotide +341 (at amino acid level, valine at both positions 105 and 114). The second study found no difference in CYP2E1 genotype frequencies between PD cases who ever smoked compared to those who never smoked (odds ratio for interaction (ORi) = 1.00 (95% CI: 0.39-2.51, p=0.99)). No CYP2E1 gene-smoking interactions were detected in relation to age at onset of PD. The third study found that among cases without regular pesticide exposures, CYP2D6 PMs who smoked more than 5 pack-years had a later mean age at disease onset (68.6 years) than those with extensive metaboliser phenotypes (EMs) (61.1 years, p=0.02) and non-smokers (60.5 years, p=0.01). Analysis of aged subjects without PD confirmed that neither smoking status nor CYP2D6 PM status was associated with age itself. Our data suggest: 1. smoking exposure is independent of GSTM1, P1, T1, Z1 and CYP2E1 genotypes; 2. smoking may be, to some extent, associated with CYP2D6 genotypes; 3. there are no multiplicative interactive effects linking smoking and GSTM1, T1, Z1 or CYP2E1 genotypes with the risk for PD; 4. there is a multiplicative interactive effect between smoking and GSTP1 haplotype - particularly for genotypes carrying the 114Val allele; and 5. there is a multiplicative interactive effect between smoking and CYP2D6 PMs - particularly for people who ever smoked cigarettes more than 5 pack-years. In general, this thesis provides a model for exploring the gene-smoking interactions in PD. Further studies need to consider the recruitment of a large number of population-based and randomly-selected samples and to pay more attention to measurement of environmental exposures. Further studies also need to examine simultaneously the impact of smoking, pesticide exposures and other potential risk factors on PD. These studies will build evidence for interactions contributing to this common neurological movement disorder.

The influence of genotype variation on phenotype has been a longstanding question in biology but it is now one of the greatest challenges of the post-genomics era. Discovering the link between common gene variants that affect phenotypes within and between populations is likely to provide insight into the molecular physiology of phenotypic traits and the mechanisms by which they evolve. The overall goal of this thesis is to link naturally occurring genotypic variation with the organism??s phenotype. The specific goal of this thesis is to connect natural variation in the mitochondrial genotype with the organismal phenotype using the model organism Drosophila simulans. Mitochondria are intracellular organelles found in most eukaryotes and produce over 90% of the energy needed by cells. Determining the connection of mitochondrial genotype to whole organism phenotype is of particular interest because of the broad use of mitochondrial (mt) DNA as a molecular marker in evolutionary biology and population genetics, the organelle??s central role in cellular energy production, the potential for the mitochondria to influence organismal distribution particularly in the face of climate change and in human degenerative disease. I use the model organism D. simulans because it has high genetic variability, can be easily sampled from the wild and manipulated in the lab, and the energy producing reactions that take place in its mitochondria are highly conserved among metazoa. I studied naturally occurring mutations to understand the influence of these changes in natural populations. The four studies in this thesis have employed a Genotype-Biochemistry-Phenotype (GBP) model to link naturally occurring variation in the mitochondrial genotype with organism phenotype in D. simulans mitochondria. Three major conclusions can be drawn from the thesis that follow the genotype to biochemistry to phenotype model. Firstly, a subset of the mutations in genes that comprise the mitochondrial genotype is functionally significant. Secondly, the biochemical efficiency of OXPHOS is regulated by mitochondrial homeostasis. Thirdly, key organismal life history traits influenced by the mitochondrial genotype and this is mediated through the biochemistry of OXPHOS.